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No commits in common. 'master' and 'v0.6.15' have entirely different histories.

@ -1,33 +0,0 @@
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@ -1,85 +0,0 @@
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1
.gitignore vendored

@ -4,4 +4,3 @@ coverage/
.project
_site/
.idea/
.vscode/

@ -1,7 +1,8 @@
module.exports = function(grunt) {
// Project configuration.
grunt.initConfig({
pkg: grunt.file.readJSON('package.json'),
pkg : grunt.file.readJSON('package.json'),
karma: {
unit: {
configFile: 'karma.conf.js'
@ -9,13 +10,76 @@ module.exports = function(grunt) {
integration: {
configFile: 'karma-integration.conf.js'
}
},
uglify : {
options : {
banner : '/*! <%= pkg.name %> <%= grunt.template.today("yyyy-mm-dd") %> */\n',
preserveComments: 'some'
},
build : {
src : 'dist/<%= pkg.name %>.js',
dest : 'dist/<%= pkg.name %>.min.js'
}
},
jshint : {
all : ['Gruntfile.js', 'src/*.js']
},
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compile : {
options : {
almond : true,
wrap : {
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},
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"name" : "quagga",
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grunt.loadNpmTasks('grunt-contrib-jshint');
grunt.loadNpmTasks('grunt-contrib-uglify');
grunt.loadNpmTasks('grunt-requirejs');
grunt.loadNpmTasks('grunt-karma');
grunt.loadTasks('tasks');
grunt.registerTask('build', ['check', 'requirejs']);
grunt.registerTask('check', ['jshint']);
grunt.registerTask('dist', ['build', 'uglify', 'uglyasm']);
grunt.registerTask('test', ['karma']);
grunt.registerTask('integrationtest', ['karma:integration']);
};
grunt.registerTask('default', ['build']);
};

@ -1,28 +1,19 @@
quaggaJS
========
[![Join the chat at https://gitter.im/quaggaJS/Lobby](https://badges.gitter.im/quaggaJS/Lobby.svg)](https://gitter.im/quaggaJS/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
- [Changelog](#changelog) (2017-06-07)
- [Browser Support](#browser-support)
- [Installing](#installing)
- [Getting Started](#gettingstarted)
- [API](#api)
- [Configuration](#configobject)
- [Tips & Tricks](#tipsandtricks)
- [Sponsors](#sponsors)
- [Changelog](#changelog) (2015-08-13)
## What is QuaggaJS?
QuaggaJS is a barcode-scanner entirely written in JavaScript supporting real-
time localization and decoding of various types of barcodes such as __EAN__,
__CODE 128__, __CODE 39__, __EAN 8__, __UPC-A__, __UPC-C__, __I2of5__,
__2of5__, __CODE 93__ and __CODABAR__. The library is also capable of using
`getUserMedia` to get direct access to the user's camera stream. Although the
code relies on heavy image-processing even recent smartphones are capable of
locating and decoding barcodes in real-time.
__CODE 128__, __CODE 39__, __EAN 8__, __UPC-A__, __UPC-C__, __I2of5__ and
__CODABAR__. The library is also capable of using `getUserMedia` to get direct
access to the user's camera stream. Although the code relies on heavy image-
processing even recent smartphones are capable of locating and decoding
barcodes in real-time.
Try some [examples](https://serratus.github.io/quaggaJS/examples) and check out
Try some [examples](http://serratus.github.io/quaggaJS/examples) and check out
the blog post ([How barcode-localization works in QuaggaJS][oberhofer_co_how])
if you want to dive deeper into this topic.
@ -39,66 +30,25 @@ invariant to scale and rotation, whereas other libraries require the barcode to
be aligned with the viewport.
## <a name="browser-support">Browser Support</a>
Quagga makes use of many modern Web-APIs which are not implemented by all
browsers yet. There are two modes in which Quagga operates: 1. analyzing static
images and 2. using a camera to decode the images from a live-stream. The latter
requires the presence of the MediaDevices API. You can track the compatibility
of the used Web-APIs for each mode:
- [Static Images](http://caniuse.com/#feat=webworkers,canvas,typedarrays,bloburls,blobbuilder)
- [Live Stream](http://caniuse.com/#feat=webworkers,canvas,typedarrays,bloburls,blobbuilder,stream)
### Static Images
The following APIs need to be implemented in your browser:
- [webworkers](http://caniuse.com/#feat=webworkers)
- [canvas](http://caniuse.com/#feat=canvas)
- [typedarrays](http://caniuse.com/#feat=typedarrays)
- [bloburls](http://caniuse.com/#feat=bloburls)
- [blobbuilder](http://caniuse.com/#feat=blobbuilder)
### Live Stream
In addition to the APIs mentioned above:
- [MediaDevices](http://caniuse.com/#feat=stream)
__Important:__ Accessing `getUserMedia` requires a secure origin in most
browsers, meaning that `http://` can only be used on `localhost`. All other
hostnames need to be served via `https://`. You can find more information in the
[Chrome M47 WebRTC Release Notes](https://groups.google.com/forum/#!topic/discuss-webrtc/sq5CVmY69sc).
### Feature-detection of getUserMedia
## Requirements
Every browser seems to differently implement the `mediaDevices.getUserMedia`
API. Therefore it's highly recommended to include
[webrtc-adapter](https://github.com/webrtc/adapter) in your project.
In order to take full advantage of quaggaJS, the browser needs to support the
`getUserMedia` API which is already implemented in recent versions of Firefox,
Chrome and Opera. The API is also available on their mobile counterparts
installed on Android. Safari and IE do not allow the access to the camera yet,
neither on desktop, nor on mobile. You can check [caniuse][caniuse_getusermedia]
for updates.
Here's how you can test your browser's capabilities:
In cases where real-time decoding is not needed, or the platform does not
support `getUserMedia` QuaggaJS is also capable of decoding image-files using
the File API or other URL sources.
```javascript
if (navigator.mediaDevices && typeof navigator.mediaDevices.getUserMedia === 'function') {
// safely access `navigator.mediaDevices.getUserMedia`
}
```
The above condition evaluates to:
| Browser | result |
| ------------- |:-------:|
| Edge | `true` |
| Chrome | `true` |
| Firefox | `true` |
| IE 11 | `false` |
| Safari iOS | `true` |
## Getting Started
## <a name="installing">Installing</a>
QuaggaJS can be installed using __npm__, __bower__, or by including it with
the __script__ tag.
You can simply include `dist/quagga.min.js` in your project and you are ready
to go.
### NPM
If you want to keep your project modular, you can also install QuaggaJS via npm:
```console
> npm install quagga
@ -107,57 +57,25 @@ the __script__ tag.
And then import it as dependency in your project:
```javascript
import Quagga from 'quagga'; // ES6
const Quagga = require('quagga').default; // Common JS (important: default)
var quagga = require('quagga');
```
Currently, the full functionality is only available through the browser. When
using QuaggaJS within __node__, only file-based decoding is available. See the
example for [node_examples](#node-example).
### Bower
You can also install QuaggaJS through __bower__:
```console
> bower install quagga
```
### Script-Tag Anno 1998
You can simply include `dist/quagga.min.js` in your project and you are ready
to go. The script exposes the library on the global namespace under `Quagga`.
## <a name="gettingstarted">Getting Started</a>
For starters, have a look at the [examples][github_examples] to get an idea
where to go from here.
## <a name="Building">Building</a>
You can build the library yourself by simply cloning the repo and typing:
```console
> npm install
> npm run build
> grunt dist
```
This npm script builds a non optimized version `quagga.js` and a minified
This grunt task builds a non optimized version `quagga.js` and a minified
version `quagga.min.js` and places both files in the `dist` folder.
Additionally, a `quagga.map` source-map is placed alongside these files. This
file is only valid for the non-uglified version `quagga.js` because the
minified version is altered after compression and does not align with the map
file any more.
### Node
The code in the `dist` folder is only targeted to the browser and won't work in
node due to the dependency on the DOM. For the use in node, the `build` command
also creates a `quagga.js` file in the `lib` folder.
## <a name="api">API</a>
## API
You can check out the [examples][github_examples] to get an idea of how to
use QuaggaJS. Basically the library exposes the following API:
@ -173,17 +91,11 @@ may be the `inputStream.type` is set to `LiveStream`, but the browser does
not support this API, or simply if the user denies the permission to use the
camera.
If you do not specify a target, QuaggaJS would look for an element that matches
the CSS selector `#interactive.viewport` (for backwards compatibility).
`target` can be a string (CSS selector matching one of your DOM node) or a DOM
node.
```javascript
Quagga.init({
inputStream : {
name : "Live",
type : "LiveStream",
target: document.querySelector('#yourElement') // Or '#yourElement' (optional)
type : "LiveStream"
},
decoder : {
readers : ["code_128_reader"]
@ -312,204 +224,47 @@ empty.
}
```
## <a name="configobject">Configuration</a>
## <a name="configobject">Config</a>
The configuration that ships with QuaggaJS covers the default use-cases and can
be fine-tuned for specific requirements.
The configuration is managed by the `config` object defining the following
high-level properties:
The default `config` object is set as followed:
```javascript
{
numOfWorkers: 4,
locate: true,
inputStream: {...},
frequency: 10,
decoder:{...},
locator: {...},
inputStream: { name: "Live",
type: "LiveStream",
constraints: {
width: 640,
height: 480,
facing: "environment"
},
area: { // defines rectangle of the detection/localization area
top: "0%", // top offset
right: "0%", // right offset
left: "0%", // left offset
bottom: "0%" // bottom offset
},
singleChannel: false // true: only the red color-channel is read
},
tracking: false,
debug: false,
}
```
### numOfWorkers
QuaggaJS supports web-workers out of the box and runs with `4` workers in its
default configuration. The number should align with the number of cores
available in your targeted devices.
In case you don't know the number upfront, or if the variety of devices is
too big, you can either use `navigator.hardwareConcurrency` (see
[here](https://wiki.whatwg.org/wiki/Navigator_HW_Concurrency)) where available
or make use of [core-estimator](https://github.com/oftn/core-estimator).
### locate
One of the main features of QuaggaJS is its ability to locate a barcode in a
given image. The `locate` property controls whether this feature is turned on
(default) or off.
Why would someone turn this feature off? Localizing a barcode is a
computationally expensive operation and might not work properly on some
devices. Another reason would be the lack of auto-focus producing blurry
images which makes the localization feature very unstable.
However, even if none of the above apply, there is one more case where it might
be useful to disable `locate`: If the orientation, and/or the approximate
position of the barcode is known, or if you want to guide the user through a
rectangular outline. This can increase performance and robustness at the same
time.
### inputStream
The `inputStream` property defines the sources of images/videos within QuaggaJS.
```javascript
{
name: "Live",
type: "LiveStream",
constraints: {
width: 640,
height: 480,
facingMode: "environment",
deviceId: "7832475934759384534"
controls: false,
locate: true,
numOfWorkers: 4,
visual: {
show: true
},
area: { // defines rectangle of the detection/localization area
top: "0%", // top offset
right: "0%", // right offset
left: "0%", // left offset
bottom: "0%" // bottom offset
decoder:{
drawBoundingBox: false,
showFrequency: false,
drawScanline: true,
showPattern: false,
readers: [
'code_128_reader'
]
},
singleChannel: false // true: only the red color-channel is read
}
```
First, the `type` property can be set to three different values:
`ImageStream`, `VideoStream`, or `LiveStream` (default) and should be selected
depending on the use-case. Most probably, the default value is sufficient.
Second, the `constraint` key defines the physical dimensions of the input image
and additional properties, such as `facingMode` which sets the source of the
user's camera in case of multiple attached devices. Additionally, if required,
the `deviceId` can be set if the selection of the camera is given to the user.
This can be easily achieved via
[MediaDevices.enumerateDevices()][enumerateDevices]
Thirdly, the `area` prop restricts the decoding area of the image. The values
are given in percentage, similar to the CSS style property when using
`position: absolute`. This `area` is also useful in cases the `locate` property
is set to `false`, defining the rectangle for the user.
The last key `singleChannel` is only relevant in cases someone wants to debug
erroneous behavior of the decoder. If set to `true` the input image's red
color-channel is read instead of calculating the gray-scale values of the
source's RGB. This is useful in combination with the `ResultCollector` where
the gray-scale representations of the wrongly identified images are saved.
### frequency
This top-level property controls the scan-frequency of the video-stream. It's
optional and defines the maximum number of scans per second. This renders
useful for cases where the scan-session is long-running and resources such as
CPU power are of concern.
### decoder
QuaggaJS usually runs in a two-stage manner (`locate` is set to `true`) where,
after the barcode is located, the decoding process starts. Decoding is the
process of converting the bars into its true meaning. Most of the configuration
options within the `decoder` are for debugging/visualization purposes only.
```javascript
{
readers: [
'code_128_reader'
],
debug: {
drawBoundingBox: false,
showFrequency: false,
drawScanline: false,
showPattern: false
}
multiple: false
}
```
The most important property is `readers` which takes an array of types of
barcodes which should be decoded during the session. Possible values are:
- code_128_reader (default)
- ean_reader
- ean_8_reader
- code_39_reader
- code_39_vin_reader
- codabar_reader
- upc_reader
- upc_e_reader
- i2of5_reader
- 2of5_reader
- code_93_reader
Why are not all types activated by default? Simply because one should
explicitly define the set of barcodes for their use-case. More decoders means
more possible clashes, or false-positives. One should take care of the order
the readers are given, since some might return a value even though it is not
the correct type (EAN-13 vs. UPC-A).
The `multiple` property tells the decoder if it should continue decoding after
finding a valid barcode. If multiple is set to `true`, the results will be
returned as an array of result objects. Each object in the array will have a
`box`, and may have a `codeResult` depending on the success of decoding the
individual box.
The remaining properties `drawBoundingBox`, `showFrequency`, `drawScanline` and
`showPattern` are mostly of interest during debugging and visualization.
#### <a name="ean_extended">Enabling extended EAN</a>
The default setting for `ean_reader` is not capable of reading extensions such
as [EAN-2](https://en.wikipedia.org/wiki/EAN_2) or
[EAN-5](https://en.wikipedia.org/wiki/EAN_5). In order to activate those
supplements you have to provide them in the configuration as followed:
```javascript
decoder: {
readers: [{
format: "ean_reader",
config: {
supplements: [
'ean_5_reader', 'ean_2_reader'
]
}
}]
}
```
Beware that the order of the `supplements` matters in such that the reader stops
decoding when the first supplement was found. So if you are interested in EAN-2
and EAN-5 extensions, use the order depicted above.
It's important to mention that, if supplements are supplied, regular EAN-13
codes cannot be read any more with the same reader. If you want to read EAN-13
with and without extensions you have to add another `ean_reader` reader to the
configuration.
### locator
The `locator` config is only relevant if the `locate` flag is set to `true`.
It controls the behavior of the localization-process and needs to be adjusted
for each specific use-case. The default settings are simply a combination of
values which worked best during development.
Only two properties are relevant for the use in Quagga (`halfSample` and
`patchSize`) whereas the rest is only needed for development and debugging.
```javascript
{
halfSample: true,
patchSize: "medium", // x-small, small, medium, large, x-large
debug: {
locator: {
halfSample: true,
patchSize: "medium", // x-small, small, medium, large, x-large
showCanvas: false,
showPatches: false,
showFoundPatches: false,
@ -526,23 +281,6 @@ Only two properties are relevant for the use in Quagga (`halfSample` and
}
```
The `halfSample` flag tells the locator-process whether it should operate on an
image scaled down (half width/height, quarter pixel-count ) or not. Turning
`halfSample` on reduces the processing-time significantly and also helps
finding a barcode pattern due to implicit smoothing.
It should be turned off in cases where the barcode is really small and the full
resolution is needed to find the position. It's recommended to keep it turned
on and use a higher resolution video-image if needed.
The second property `patchSize` defines the density of the search-grid. The
property accepts strings of the value `x-small`, `small`, `medium`, `large` and
`x-large`. The `patchSize` is proportional to the size of the scanned barcodes.
If you have really large barcodes which can be read close-up, then the use of
`large` or `x-large` is recommended. In cases where the barcode is further away
from the camera lens (lack of auto-focus, or small barcodes) then it's advised
to set the size to `small` or even `x-small`. For the latter it's also
recommended to crank up the resolution in order to find a barcode.
## Examples
The following example takes an image `src` as input and prints the result on the
@ -557,72 +295,10 @@ Quagga.decodeSingle({
locate: true, // try to locate the barcode in the image
src: '/test/fixtures/code_128/image-001.jpg' // or 'data:image/jpg;base64,' + data
}, function(result){
if(result.codeResult) {
console.log("result", result.codeResult.code);
} else {
console.log("not detected");
}
console.log(result);
});
```
### <a name="node-example">Using node</a>
The following example illustrates the use of QuaggaJS within a node
environment. It's almost identical to the browser version with the difference
that node does not support web-workers out of the box. Therefore the config
property `numOfWorkers` must be explicitly set to `0`.
```javascript
var Quagga = require('quagga').default;
Quagga.decodeSingle({
src: "image-abc-123.jpg",
numOfWorkers: 0, // Needs to be 0 when used within node
inputStream: {
size: 800 // restrict input-size to be 800px in width (long-side)
},
decoder: {
readers: ["code_128_reader"] // List of active readers
},
}, function(result) {
if(result.codeResult) {
console.log("result", result.codeResult.code);
} else {
console.log("not detected");
}
});
```
## <a name="tipsandtricks">Tips & Tricks</a>
A growing collection of tips & tricks to improve the various aspects of Quagga.
### Barcodes too small?
Barcodes too far away from the camera, or a lens too close to the object
result in poor recognition rates and Quagga might respond with a lot of
false-positives.
Starting in Chrome 59 you can now make use of `capabilities` and directly
control the zoom of the camera. Head over to the
[web-cam demo](https://serratus.github.io/quaggaJS/examples/live_w_locator.html)
and check out the __Zoom__ feature.
You can read more about those `capabilities` in
[Let's light a torch and explore MediaStreamTrack's capabilities](https://www.oberhofer.co/mediastreamtrack-and-its-capabilities)
### Video too dark?
Dark environments usually result in noisy images and therefore mess with the
recognition logic.
Since Chrome 59 you can turn on/off the __Torch__ of our device and vastly
improve the quality of the images. Head over to the
[web-cam demo](https://serratus.github.io/quaggaJS/examples/live_w_locator.html)
and check out the __Torch__ feature.
To find out more about this feature [read on](https://www.oberhofer.co/mediastreamtrack-and-its-capabilities).
## Tests
Unit Tests can be run with [Karma][karmaUrl] and written using
@ -631,7 +307,7 @@ automatically generated in the coverage/ folder.
```console
> npm install
> npm run test
> grunt test
```
## Image Debugging
@ -699,107 +375,8 @@ calling ``decodeSingle`` with the same configuration as used during recording
. In order to reproduce the exact same result, you have to make sure to turn
on the ``singleChannel`` flag in the configuration when using ``decodeSingle``.
## <a name="sponsors">Sponsors</a>
- [Maintenance Connection Canada (Asset Pro Solutions Inc.](http://maintenanceconnection.ca/)
## <a name="changelog">Changelog</a>
### 2017-06-07
- Improvements
- added `muted` and `playsinline` to `<video/>` to make it work for Safari 11
Beta (even iOS)
- Fixes
- Fixed [example/live_w_locator.js](https://github.com/serratus/quaggaJS/blob/master/example/live_w_locator.js)
### 2017-06-06
- Features
- Support for Standard 2of5 barcodes (See
[\#194](https://github.com/serratus/quaggaJS/issues/194))
- Support for Code 93 barcodes (See
[\#194](https://github.com/serratus/quaggaJS/issues/195))
- Exposing `Quagga.CameraAccess.getActiveTrack()` to get access to the
currently used `MediaStreamTrack`
- Example can be viewed here: [example/live_w_locator.js](https://github.com/serratus/quaggaJS/blob/master/example/live_w_locator.js) and a [demo](https://serratus.github.io/quaggaJS/examples/live_w_locator.html)
Take a look at the release-notes (
[0.12.0](https://github.com/serratus/quaggaJS/releases/tag/v0.12.0))
### 2017-01-08
- Improvements
- Exposing `CameraAccess` module to get access to methods like
`enumerateVideoDevices` and `getActiveStreamLabel`
(see `example/live_w_locator`)
- Update to webpack 2.2 (API is still unstable)
### 2016-10-03
- Fixes
- Fixed `facingMode` issue with Chrome >= 53 (see [#128](https://github.com/serratus/quaggaJS/issues/128))
### 2016-08-15
- Features
- Proper handling of EXIF orientation when using `Quagga.decodeSingle`
(see [#121](https://github.com/serratus/quaggaJS/issues/121))
### 2016-04-24
- Features
- EAN-13 extended codes can now be decoded (See
[\#71](https://github.com/serratus/quaggaJS/issues/71))
Take a look at the release-notes (
[0.11.0](https://github.com/serratus/quaggaJS/releases/tag/v0.11.0))
### 2016-04-19
- Improvements
- Reducing false-positives for Code 128 barcodes (
addresses [\#104](https://github.com/serratus/quaggaJS/issues/104))
### 2016-03-31
Take a look at the release-notes (
[0.10.0](https://github.com/serratus/quaggaJS/releases/tag/v0.10.0))
### 2016-02-18
- Internal Changes
- Restructuring into meaningful folders
- Removing debug-code in production build
### 2016-02-15
Take a look at the release-notes (
[0.9.0](https://github.com/serratus/quaggaJS/releases/tag/v0.9.0))
### 2015-11-22
- Fixes
- Fixed inconsistencies for Code 128 decoding (See
[\#76](https://github.com/serratus/quaggaJS/issues/76))
### 2015-11-15
- Fixes
- Fixed inconsistency in Code 39 decoding
- added inline-source-map to quagga.js file
### 2015-10-13
Take a look at the release-notes ([0.8.0]
(https://github.com/serratus/quaggaJS/releases/tag/v0.8.0))
- Improvements
- Replaced RequireJS with webpack
### 2015-09-15
Take a look at the release-notes ([0.7.0]
(https://github.com/serratus/quaggaJS/releases/tag/v0.7.0))
- Features
- Added basic support for running QuaggaJS inside __node__ (see [example]
(#node-example))
### 2015-08-29
- Improvements
- Added support for Internet Explorer (only Edge+ supports `getUserMedia`)
### 2015-08-13
- Improvements
- Added `offProcessed` and `offDetected` methods for detaching event-
@ -920,6 +497,5 @@ introduced to the API.
[upc_wiki]: http://en.wikipedia.org/wiki/Universal_Product_Code
[ean_8_wiki]: http://en.wikipedia.org/wiki/EAN-8
[oberhofer_co_how]: http://www.oberhofer.co/how-barcode-localization-works-in-quaggajs/
[github_examples]: https://serratus.github.io/quaggaJS/examples
[github_examples]: http://serratus.github.io/quaggaJS/examples
[i2of5_wiki]: https://en.wikipedia.org/wiki/Interleaved_2_of_5
[enumerateDevices]: https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/enumerateDevices

@ -1,6 +1,6 @@
{
"name": "quagga",
"version": "0.12.1",
"version": "0.6.14",
"description": "An advanced barcode-scanner written in JavaScript",
"main": "dist/quagga.js",
"ignore": [

19100
dist/quagga.js vendored

File diff suppressed because one or more lines are too long

11
dist/quagga.min.js vendored

File diff suppressed because one or more lines are too long

@ -1,5 +0,0 @@
module.exports = {
production: false,
development: true,
node: false
};

5
env/node.js vendored

@ -1,5 +0,0 @@
module.exports = {
production: true,
development: false,
node: true
};

5
env/production.js vendored

@ -1,5 +0,0 @@
module.exports = {
production: true,
development: false,
node: false
};

@ -1 +1 @@
@import url("https://fonts.googleapis.com/css?family=Ubuntu:400,700|Cabin+Condensed:400,600");
@import url("http://fonts.googleapis.com/css?family=Ubuntu:400,700|Cabin+Condensed:400,600");

@ -1,109 +1,79 @@
@charset "UTF-8";
@import url("https://fonts.googleapis.com/css?family=Ubuntu:400,700|Cabin+Condensed:400,600");
body {
background-color: #FFF;
margin: 0px;
font-family: Ubuntu, sans-serif;
color: #1e1e1e;
font-weight: normal;
padding-top: 0;
}
h1, h2, h3, h4 {
font-family: "Cabin Condensed", sans-serif;
}
header {
background: #FFC600;
padding: 1em;
}
header .headline {
max-width: 640px;
margin: 0 auto;
}
header .headline h1 {
color: #FFDD69;
font-size: 3em;
margin-bottom: 0;
}
header .headline h2 {
margin-top: 0.2em;
}
footer {
background: #0A4DB7;
color: #6C9CE8;
padding: 1em 2em 2em;
}
#container {
width: 640px;
margin: 20px auto;
padding: 10px;
}
/* usual styles */
/* LESS - http://lesscss.org style sheet */
/* Palette color codes */
/* Palette URL: http://paletton.com/#uid=31g0q0kHZAviRSkrHLOGomVNzac */
/* Feel free to copy&paste color codes to your application */
/* MIXINS */
/* As hex codes */
/* Main Primary color */
/* Main Secondary color (1) */
/* Main Secondary color (2) */
/* As RGBa codes */
/* Main Primary color */
/* Main Secondary color (1) */
/* Main Secondary color (2) */
/* Generated by Paletton.com ├é┬® 2002-2014 */
/* http://paletton.com */
@import url("http://fonts.googleapis.com/css?family=Ubuntu:400,700|Cabin+Condensed:400,600");
/* line 1, ../sass/_viewport.scss */
#interactive.viewport {
width: 640px;
height: 480px;
}
/* line 6, ../sass/_viewport.scss */
#interactive.viewport canvas, video {
float: left;
width: 640px;
height: 480px;
}
/* line 10, ../sass/_viewport.scss */
#interactive.viewport canvas.drawingBuffer, video.drawingBuffer {
margin-left: -640px;
}
/* line 16, ../sass/_viewport.scss */
.controls fieldset {
border: none;
margin: 0;
padding: 0;
}
/* line 19, ../sass/_viewport.scss */
.controls .input-group {
float: left;
}
/* line 21, ../sass/_viewport.scss */
.controls .input-group input, .controls .input-group button {
display: block;
}
/* line 25, ../sass/_viewport.scss */
.controls .reader-config-group {
float: right;
}
/* line 28, ../sass/_viewport.scss */
.controls .reader-config-group label {
display: block;
}
/* line 30, ../sass/_viewport.scss */
.controls .reader-config-group label span {
width: 9rem;
width: 11rem;
display: inline-block;
text-align: right;
}
/* line 37, ../sass/_viewport.scss */
.controls:after {
content: '';
display: block;
clear: both;
}
/* line 44, ../sass/_viewport.scss */
#result_strip {
margin: 10px 0;
border-top: 1px solid #EEE;
border-bottom: 1px solid #EEE;
padding: 10px 0;
}
/* line 50, ../sass/_viewport.scss */
#result_strip > ul {
padding: 0;
margin: 0;
@ -113,41 +83,41 @@ footer {
overflow-y: hidden;
white-space: nowrap;
}
/* line 59, ../sass/_viewport.scss */
#result_strip > ul > li {
display: inline-block;
vertical-align: middle;
width: 160px;
}
/* line 63, ../sass/_viewport.scss */
#result_strip > ul > li .thumbnail {
padding: 5px;
margin: 4px;
border: 1px dashed #CCC;
}
/* line 68, ../sass/_viewport.scss */
#result_strip > ul > li .thumbnail img {
max-width: 140px;
}
/* line 71, ../sass/_viewport.scss */
#result_strip > ul > li .thumbnail .caption {
white-space: normal;
}
/* line 73, ../sass/_viewport.scss */
#result_strip > ul > li .thumbnail .caption h4 {
text-align: center;
word-wrap: break-word;
height: 40px;
margin: 0px;
}
/* line 83, ../sass/_viewport.scss */
#result_strip > ul:after {
content: "";
display: table;
clear: both;
}
/* line 7, ../sass/_overlay.scss */
.scanner-overlay {
display: none;
width: 640px;
@ -163,21 +133,21 @@ footer {
-webkit-box-shadow: #333333 0px 4px 10px;
box-shadow: #333333 0px 4px 10px;
}
/* line 20, ../sass/_overlay.scss */
.scanner-overlay > .header {
position: relative;
margin-bottom: 14px;
}
/* line 23, ../sass/_overlay.scss */
.scanner-overlay > .header h4, .scanner-overlay > .header .close {
line-height: 16px;
}
/* line 26, ../sass/_overlay.scss */
.scanner-overlay > .header h4 {
margin: 0px;
padding: 0px;
}
/* line 30, ../sass/_overlay.scss */
.scanner-overlay > .header .close {
position: absolute;
right: 0px;
@ -190,7 +160,7 @@ footer {
cursor: pointer;
}
/* line 1, ../sass/_icons.scss */
i.icon-24-scan {
width: 24px;
height: 24px;
@ -202,8 +172,11 @@ i.icon-24-scan {
vertical-align: text-top;
}
@media (min-width: 604px) and (max-width: 1024px) {
/* tablet styles */
}
@media (max-width: 603px) {
/* line 2, ../sass/phone/_core.scss */
#container {
width: 300px;
margin: 10px auto;
@ -211,58 +184,46 @@ i.icon-24-scan {
-webkit-box-shadow: none;
box-shadow: none;
}
/* line 9, ../sass/phone/_core.scss */
#container form.voucher-form input.voucher-code {
width: 180px;
}
}
@media (max-width: 603px) {
.reader-config-group {
width: 100%;
}
.reader-config-group label > span {
width: 50%;
}
.reader-config-group label > select, .reader-config-group label > input {
max-width: calc(50% - 2px);
}
/* line 5, ../sass/phone/_viewport.scss */
#interactive.viewport {
width: 300px;
height: 300px;
overflow: hidden;
}
/* line 11, ../sass/phone/_viewport.scss */
#interactive.viewport canvas, video {
margin-top: -50px;
width: 300px;
height: 400px;
}
/* line 15, ../sass/phone/_viewport.scss */
#interactive.viewport canvas.drawingBuffer, video.drawingBuffer {
margin-left: -300px;
}
/* line 20, ../sass/phone/_viewport.scss */
#result_strip {
margin-top: 5px;
padding-top: 5px;
}
/* line 24, ../sass/phone/_viewport.scss */
#result_strip ul.thumbnails > li {
width: 150px;
}
/* line 27, ../sass/phone/_viewport.scss */
#result_strip ul.thumbnails > li .thumbnail .imgWrapper {
width: 130px;
height: 130px;
overflow: hidden;
}
/* line 31, ../sass/phone/_viewport.scss */
#result_strip ul.thumbnails > li .thumbnail .imgWrapper img {
margin-top: -25px;
width: 130px;
@ -270,7 +231,7 @@ i.icon-24-scan {
}
}
@media (max-width: 603px) {
/* line 8, ../sass/phone/_overlay.scss */
.overlay.scanner {
width: 640px;
height: 510px;
@ -282,17 +243,66 @@ i.icon-24-scan {
-webkit-box-shadow: none;
box-shadow: none;
}
/* line 17, ../sass/phone/_overlay.scss */
.overlay.scanner > .header {
margin-bottom: 14px;
}
/* line 19, ../sass/phone/_overlay.scss */
.overlay.scanner > .header h4, .overlay.scanner > .header .close {
line-height: 16px;
}
/* line 22, ../sass/phone/_overlay.scss */
.overlay.scanner > .header .close {
height: 16px;
width: 16px;
}
}
/* line 15, ../sass/styles.scss */
body {
background-color: #FFF;
margin: 0px;
font-family: Ubuntu, sans-serif;
color: #1e1e1e;
font-weight: normal;
padding-top: 0;
}
/* line 24, ../sass/styles.scss */
h1, h2, h3, h4 {
font-family: "Cabin Condensed", sans-serif;
}
/* line 28, ../sass/styles.scss */
header {
background: #FFC600;
padding: 1em;
}
/* line 31, ../sass/styles.scss */
header .headline {
width: 640px;
margin: 0 auto;
}
/* line 34, ../sass/styles.scss */
header .headline h1 {
color: #FFDD69;
font-size: 3em;
margin-bottom: 0;
}
/* line 39, ../sass/styles.scss */
header .headline h2 {
margin-top: 0.2em;
}
/* line 45, ../sass/styles.scss */
footer {
background: #0A4DB7;
color: #6C9CE8;
padding: 1em 2em 2em;
}
/* line 51, ../sass/styles.scss */
#container {
width: 640px;
margin: 20px auto;
padding: 10px;
}

@ -35,7 +35,7 @@
<div class="controls">
<fieldset class="input-group">
<input type="file" accept="image/*" capture="camera"/>
<input type="file" capture/>
<button>Rerun</button>
</fieldset>
<fieldset class="reader-config-group">
@ -46,22 +46,18 @@
<option value="code_39">Code 39</option>
<option value="code_39_vin">Code 39 VIN</option>
<option value="ean">EAN</option>
<option value="ean_extended">EAN-extended</option>
<option value="ean_8">EAN-8</option>
<option value="upc">UPC</option>
<option value="upc_e">UPC-E</option>
<option value="codabar">Codabar</option>
<option value="i2of5">Interleaved 2 of 5</option>
<option value="2of5">Standard 2 of 5</option>
<option value="code_93">Code 93</option>
</select>
</label>
<label>
<span>Resolution (long side)</span>
<select name="input-stream_size">
<option value="320">320px</option>
<option value="640">640px</option>
<option selected="selected" value="800">800px</option>
<option selected="selected" value="640">640px</option>
<option value="800">800px</option>
<option value="1280">1280px</option>
<option value="1600">1600px</option>
<option value="1920">1920px</option>
@ -105,8 +101,8 @@
&copy; Copyright by Christoph Oberhofer
</p>
</footer>
<script src="vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="../src/vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="../dist/quagga.js" type="text/javascript"></script>
<script src="file_input.js" type="text/javascript"></script>
</body>
</html>
</html>

@ -82,43 +82,28 @@ $(function() {
},
decoder: {
readers: function(value) {
if (value === 'ean_extended') {
return [{
format: "ean_reader",
config: {
supplements: [
'ean_5_reader', 'ean_2_reader'
]
}
}];
}
return [{
format: value + "_reader",
config: {}
}];
return [value + "_reader"];
}
}
},
state: {
inputStream: {
size: 800,
size: 640,
singleChannel: false
},
locator: {
patchSize: "medium",
halfSample: true
patchSize: "large",
halfSample: false
},
numOfWorkers: 1,
decoder: {
readers: [{
format: "code_128_reader",
config: {}
}]
readers: ["code_128_reader"]
},
locate: true,
src: null
}
};
App.init();
function calculateRectFromArea(canvas, area) {
@ -183,4 +168,4 @@ $(function() {
$node.find("h4.code").html(code);
$("#result_strip ul.thumbnails").prepend($node);
});
});
});

@ -0,0 +1,101 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
<title>index</title>
<meta name="description" content=""/>
<meta name="author" content="Christoph Oberhofer"/>
<meta name="viewport" content="width=device-width; initial-scale=1.0"/>
<link rel="stylesheet" type="text/css" href="css/styles.css"/>
</head>
<body>
<header>
<div class="headline">
<h1>QuaggaJS</h1>
<h2>An advanced barcode-scanner written in JavaScript</h2>
</div>
</header>
<section id="container" class="container">
<h3>Working with file-input</h3>
<p>This example let's you select an image from your local filesystem.
QuaggaJS then tries to decode the barcode using
the preferred method (<strong>Code128</strong> or <strong>EAN</strong>).
There is no server interaction needed as the
file is simply accessed through the <a
href="http://www.w3.org/TR/file-upload/">File API</a>.</p>
<p>This also works great on a wide range of mobile-phones where the camera
access through <code>getUserMedia</code> is still very limited.</p>
<div class="controls">
<fieldset class="input-group">
<input type="file" capture/>
<button>Rerun</button>
</fieldset>
<fieldset class="reader-config-group">
<label>
<span>Barcode-Type</span>
<select name="decoder_readers">
<option value="code_128" selected="selected">Code 128</option>
<option value="code_39">Code 39</option>
<option value="code_39_vin">Code 39 VIN</option>
<option value="ean">EAN</option>
<option value="ean_8">EAN-8</option>
<option value="upc">UPC</option>
<option value="upc_e">UPC-E</option>
<option value="codabar">Codabar</option>
</select>
</label>
<label>
<span>Resolution (long side)</span>
<select name="input-stream_size">
<option value="320">320px</option>
<option selected="selected" value="640">640px</option>
<option value="800">800px</option>
<option value="1280">1280px</option>
<option value="1600">1600px</option>
<option value="1920">1920px</option>
</select>
</label>
<label>
<span>Patch-Size</span>
<select name="locator_patch-size">
<option value="x-small">x-small</option>
<option value="small">small</option>
<option selected="selected" value="medium">medium</option>
<option value="large">large</option>
<option value="x-large">x-large</option>
</select>
</label>
<label>
<span>Half-Sample</span>
<input type="checkbox" checked="checked"
name="locator_half-sample" />
</label>
<label>
<span>Single Channel</span>
<input type="checkbox" name="input-stream_single-channel" />
</label>
</fieldset>
</div>
<div id="result_strip">
<ul class="thumbnails"></ul>
</div>
<div id="interactive" class="viewport"></div>
<div id="debug" class="detection"></div>
</section>
<footer>
<p>
&copy; Copyright by Christoph Oberhofer
</p>
</footer>
<script src="../src/vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script data-main="file_input_require.js" src="../src/vendor/require.js"></script>
</body>
</html>

@ -0,0 +1,170 @@
requirejs.config({
"baseUrl" : "../src",
"shim" : {
"typedefs" : {
"deps" : [],
"exports" : "typedefs"
},
"glMatrix" : {
"deps" : ["typedefs"],
"exports" : "glMatrix"
},
"glMatrixAddon" : {
"deps" : ["glMatrix"],
"exports" : "glMatrixAddon"
}
},
"paths" : {
"typedefs" : "typedefs",
"glMatrix" : "vendor/glMatrix",
"glMatrixAddon" : "glMatrixAddon"
}
});
define(['quagga'], function(Quagga) {
var App = {
init: function() {
App.attachListeners();
},
attachListeners: function() {
var self = this;
$(".controls input[type=file]").on("change", function(e) {
if (e.target.files && e.target.files.length) {
App.decode(URL.createObjectURL(e.target.files[0]));
}
});
$(".controls button").on("click", function(e) {
var input = document.querySelector(".controls input[type=file]");
if (input.files && input.files.length) {
App.decode(URL.createObjectURL(input.files[0]));
}
});
$(".controls .reader-config-group").on("change", "input, select", function(e) {
e.preventDefault();
var $target = $(e.target),
value = $target.attr("type") === "checkbox" ? $target.prop("checked") : $target.val(),
name = $target.attr("name"),
state = self._convertNameToState(name);
console.log("Value of "+ state + " changed to " + value);
self.setState(state, value);
});
},
_accessByPath: function(obj, path, val) {
var parts = path.split('.'),
depth = parts.length,
setter = (typeof val !== "undefined") ? true : false;
return parts.reduce(function(o, key, i) {
if (setter && (i + 1) === depth) {
o[key] = val;
}
return key in o ? o[key] : {};
}, obj);
},
_convertNameToState: function(name) {
return name.replace("_", ".").split("-").reduce(function(result, value) {
return result + value.charAt(0).toUpperCase() + value.substring(1);
});
},
detachListeners: function() {
$(".controls input[type=file]").off("change");
$(".controls .reader-config-group").off("change", "input, select");
$(".controls button").off("click");
},
decode: function(src) {
var self = this,
config = $.extend({}, self.state, {src: src});
Quagga.decodeSingle(config, function(result) {});
},
setState: function(path, value) {
var self = this;
if (typeof self._accessByPath(self.inputMapper, path) === "function") {
value = self._accessByPath(self.inputMapper, path)(value);
}
self._accessByPath(self.state, path, value);
console.log(JSON.stringify(self.state));
App.detachListeners();
App.init();
},
inputMapper: {
inputStream: {
size: function(value){
return parseInt(value);
}
},
numOfWorkers: function(value) {
return parseInt(value);
},
decoder: {
readers: function(value) {
return [value + "_reader"];
}
}
},
state: {
inputStream: {
size: 640,
singleChannel: false
},
locator: {
patchSize: "large",
halfSample: true,
showCanvas: true
},
numOfWorkers: 0,
decoder: {
readers: ["i2of5_reader"],
showFrequency: true,
showPattern: true
},
locate: true,
src: null
}
};
App.init();
Quagga.onProcessed(function(result) {
var drawingCtx = Quagga.canvas.ctx.overlay,
drawingCanvas = Quagga.canvas.dom.overlay;
if (result) {
if (result.boxes) {
drawingCtx.clearRect(0, 0, parseInt(drawingCanvas.getAttribute("width")), parseInt(drawingCanvas.getAttribute("height")));
result.boxes.filter(function (box) {
return box !== result.box;
}).forEach(function (box) {
Quagga.ImageDebug.drawPath(box, {x: 0, y: 1}, drawingCtx, {color: "green", lineWidth: 2});
});
}
if (result.box) {
Quagga.ImageDebug.drawPath(result.box, {x: 0, y: 1}, drawingCtx, {color: "#00F", lineWidth: 2});
}
if (result.codeResult && result.codeResult.code) {
Quagga.ImageDebug.drawPath(result.line, {x: 'x', y: 'y'}, drawingCtx, {color: 'red', lineWidth: 3});
}
}
});
Quagga.onDetected(function(result) {
var code = result.codeResult.code,
$node,
canvas = Quagga.canvas.dom.image;
$node = $('<li><div class="thumbnail"><div class="imgWrapper"><img /></div><div class="caption"><h4 class="code"></h4></div></div></li>');
$node.find("img").attr("src", canvas.toDataURL());
$node.find("h4.code").html(code + " (" + result.codeResult.format + ")");
$("#result_strip ul.thumbnails").prepend($node);
});
});

@ -8,7 +8,7 @@
<meta name="description" content="" />
<meta name="author" content="Christoph Oberhofer" />
<meta name="viewport" content="width=device-width; initial-scale=1.0; user-scalable=no" />
<meta name="viewport" content="width=device-width; initial-scale=1.0" />
<link rel="stylesheet" type="text/css" href="css/styles.css" />
</head>
@ -36,20 +36,16 @@
<select name="decoder_readers">
<option value="code_128" selected="selected">Code 128</option>
<option value="code_39">Code 39</option>
<option value="code_39_vin">Code 39 VIN</option>
<option value="ean">EAN</option>
<option value="ean_extended">EAN-extended</option>
<option value="ean_8">EAN-8</option>
<option value="upc">UPC</option>
<option value="upc_e">UPC-E</option>
<option value="codabar">Codabar</option>
<option value="i2of5">Interleaved 2 of 5</option>
<option value="2of5">Standard 2 of 5</option>
<option value="code_93">Code 93</option>
<option value="i2of5">I2of5</option>
</select>
</label>
<label>
<span>Resolution (width)</span>
<span>Resolution (long side)</span>
<select name="input-stream_constraints">
<option value="320x240">320px</option>
<option selected="selected" value="640x480">640px</option>
@ -83,19 +79,6 @@
<option value="8">8</option>
</select>
</label>
<label>
<span>Camera</span>
<select name="input-stream_constraints" id="deviceSelection">
</select>
</label>
<label style="display: none">
<span>Zoom</span>
<select name="settings_zoom"></select>
</label>
<label style="display: none">
<span>Torch</span>
<input type="checkbox" name="settings_torch" />
</label>
</fieldset>
</div>
<div id="result_strip">
@ -106,12 +89,11 @@
</section>
<footer>
<p>
&copy; Made with ❤️ by Christoph Oberhofer
&copy; Copyright by Christoph Oberhofer
</p>
</footer>
<script src="vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="//webrtc.github.io/adapter/adapter-latest.js" type="text/javascript"></script>
<script src="../src/vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="../dist/quagga.js" type="text/javascript"></script>
<script src="live_w_locator.js" type="text/javascript"></script>
</body>

@ -2,19 +2,7 @@ $(function() {
var resultCollector = Quagga.ResultCollector.create({
capture: true,
capacity: 20,
blacklist: [{
code: "WIWV8ETQZ1", format: "code_93"
}, {
code: "EH3C-%GU23RK3", format: "code_93"
}, {
code: "O308SIHQOXN5SA/PJ", format: "code_93"
}, {
code: "DG7Q$TV8JQ/EN", format: "code_93"
}, {
code: "VOFD1DB5A.1F6QU", format: "code_93"
}, {
code: "4SO64P4X8 U4YUU1T-", format: "code_93"
}],
blacklist: [{code: "2167361334", format: "i2of5"}],
filter: function(codeResult) {
// only store results which match this constraint
// e.g.: codeResult
@ -22,91 +10,24 @@ $(function() {
}
});
var App = {
init: function() {
init : function() {
var self = this;
Quagga.init(this.state, function(err) {
if (err) {
return self.handleError(err);
}
//Quagga.registerResultCollector(resultCollector);
Quagga.registerResultCollector(resultCollector);
App.attachListeners();
App.checkCapabilities();
Quagga.start();
});
},
handleError: function(err) {
console.log(err);
},
checkCapabilities: function() {
var track = Quagga.CameraAccess.getActiveTrack();
var capabilities = {};
if (typeof track.getCapabilities === 'function') {
capabilities = track.getCapabilities();
}
this.applySettingsVisibility('zoom', capabilities.zoom);
this.applySettingsVisibility('torch', capabilities.torch);
},
updateOptionsForMediaRange: function(node, range) {
console.log('updateOptionsForMediaRange', node, range);
var NUM_STEPS = 6;
var stepSize = (range.max - range.min) / NUM_STEPS;
var option;
var value;
while (node.firstChild) {
node.removeChild(node.firstChild);
}
for (var i = 0; i <= NUM_STEPS; i++) {
value = range.min + (stepSize * i);
option = document.createElement('option');
option.value = value;
option.innerHTML = value;
node.appendChild(option);
}
},
applySettingsVisibility: function(setting, capability) {
// depending on type of capability
if (typeof capability === 'boolean') {
var node = document.querySelector('input[name="settings_' + setting + '"]');
if (node) {
node.parentNode.style.display = capability ? 'block' : 'none';
}
return;
}
if (window.MediaSettingsRange && capability instanceof window.MediaSettingsRange) {
var node = document.querySelector('select[name="settings_' + setting + '"]');
if (node) {
this.updateOptionsForMediaRange(node, capability);
node.parentNode.style.display = 'block';
}
return;
}
},
initCameraSelection: function(){
var streamLabel = Quagga.CameraAccess.getActiveStreamLabel();
return Quagga.CameraAccess.enumerateVideoDevices()
.then(function(devices) {
function pruneText(text) {
return text.length > 30 ? text.substr(0, 30) : text;
}
var $deviceSelection = document.getElementById("deviceSelection");
while ($deviceSelection.firstChild) {
$deviceSelection.removeChild($deviceSelection.firstChild);
}
devices.forEach(function(device) {
var $option = document.createElement("option");
$option.value = device.deviceId || device.id;
$option.appendChild(document.createTextNode(pruneText(device.label || device.deviceId || device.id)));
$option.selected = streamLabel === device.label;
$deviceSelection.appendChild($option);
});
});
},
attachListeners: function() {
var self = this;
self.initCameraSelection();
$(".controls").on("click", "button.stop", function(e) {
e.preventDefault();
Quagga.stop();
@ -143,11 +64,7 @@ $(function() {
return parts.reduce(function(o, key, i) {
if (setter && (i + 1) === depth) {
if (typeof o[key] === "object" && typeof val === "object") {
Object.assign(o[key], val);
} else {
o[key] = val;
}
o[key] = val;
}
return key in o ? o[key] : {};
}, obj);
@ -161,17 +78,6 @@ $(function() {
$(".controls").off("click", "button.stop");
$(".controls .reader-config-group").off("change", "input, select");
},
applySetting: function(setting, value) {
var track = Quagga.CameraAccess.getActiveTrack();
if (track && typeof track.getCapabilities === 'function') {
switch (setting) {
case 'zoom':
return track.applyConstraints({advanced: [{zoom: parseFloat(value)}]});
case 'torch':
return track.applyConstraints({advanced: [{torch: !!value}]});
}
}
},
setState: function(path, value) {
var self = this;
@ -179,10 +85,6 @@ $(function() {
value = self._accessByPath(self.inputMapper, path)(value);
}
if (path.startsWith('settings.')) {
var setting = path.substring(9);
return self.applySetting(setting, value);
}
self._accessByPath(self.state, path, value);
console.log(JSON.stringify(self.state));
@ -193,16 +95,12 @@ $(function() {
inputMapper: {
inputStream: {
constraints: function(value){
if (/^(\d+)x(\d+)$/.test(value)) {
var values = value.split('x');
return {
width: {min: parseInt(values[0])},
height: {min: parseInt(values[1])}
};
}
var values = value.split('x');
return {
deviceId: value
};
width: parseInt(values[0]),
height: parseInt(values[1]),
facing: "environment"
}
}
},
numOfWorkers: function(value) {
@ -210,20 +108,7 @@ $(function() {
},
decoder: {
readers: function(value) {
if (value === 'ean_extended') {
return [{
format: "ean_reader",
config: {
supplements: [
'ean_5_reader', 'ean_2_reader'
]
}
}];
}
return [{
format: value + "_reader",
config: {}
}];
return [value + "_reader"];
}
}
},
@ -231,23 +116,18 @@ $(function() {
inputStream: {
type : "LiveStream",
constraints: {
width: {min: 640},
height: {min: 480},
facingMode: "environment",
aspectRatio: {min: 1, max: 2}
width: 640,
height: 480,
facing: "environment" // or user
}
},
locator: {
patchSize: "medium",
halfSample: true
},
numOfWorkers: 2,
frequency: 10,
numOfWorkers: 4,
decoder: {
readers : [{
format: "code_128_reader",
config: {}
}]
readers : [ "code_128_reader"]
},
locate: true
},

@ -1,27 +0,0 @@
var Quagga = require('../lib/quagga').default;
var buffer = require('fs').readFileSync('../test/fixtures/code_128/image-001.jpg');
decode(buffer);
function decode(buff){
Quagga.decodeSingle({
src: buff,
numOfWorkers: 0,
inputStream: {
mime: "image/jpeg",
size: 800,
area: {
top: "10%",
right: "5%",
left: "5%",
bottom: "10%"
}
}
}, function(result) {
if (result.codeResult) {
console.log("result", result.codeResult.code);
} else {
console.log("not detected");
}
});
}

@ -1,21 +0,0 @@
var Quagga = require('../lib/quagga').default;
Quagga.decodeSingle({
src: "../test/fixtures/code_128/image-001.jpg",
numOfWorkers: 0,
inputStream: {
size: 800,
area: {
top: "10%",
right: "5%",
left: "5%",
bottom: "10%"
}
}
}, function(result) {
if(result.codeResult) {
console.log("result", result.codeResult.code);
} else {
console.log("not detected");
}
});

@ -0,0 +1,10 @@
i.icon-24-scan{
width: 24px;
height: 24px;
background-image: url("data:image/png;base64,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");
display: inline-block;
background-repeat: no-repeat;
line-height: 24px;
margin-top: 1px;
vertical-align: text-top;
}

@ -0,0 +1,48 @@
$overlayWidth: $videoWidth;
$overlayHeadline: 16px;
$overlayHeadlineMargin: 14px;
$overlayPadding: 20px;
$overlayHeight: $videoHeight + $overlayHeadlineMargin + $overlayHeadline;
.scanner-overlay {
display: none;
width: $overlayWidth;
height: $overlayHeight;
position: absolute;
padding: $overlayPadding;
top: 50%;
margin-top: -($overlayHeight)/2 - $overlayPadding;
left: 50%;
margin-left: -($overlayWidth + 2*$overlayPadding)/2;
background-color: $overlayBackground;
@include box-shadow(#333333 0px 4px 10px);
& > .header{
position: relative;
margin-bottom: $overlayHeadlineMargin;
h4, .close{
line-height: $overlayHeadline;
}
h4{
margin: 0px;
padding: 0px;
}
.close{
position: absolute;
right: 0px;
top: 0px;
height: $overlayHeadline;
width: $overlayHeadline;
text-align: center;
font-weight: bold;
font-size: 14px;
cursor: pointer;
}
}
& > .body{
}
}

@ -0,0 +1,3 @@
@import "phone/core";
@import "phone/viewport";
@import "phone/overlay";

@ -0,0 +1,4 @@
@include tablet {
/* tablet styles */
}

@ -0,0 +1,17 @@
$tablet_upper: 1024px;
$phone_upper: 603px;
@mixin phone {
@media (max-width: $phone_upper) {
@content;
}
} // @mixin phone
@mixin tablet {
@media (min-width: $phone_upper+1) and (max-width: $tablet_upper) {
@content;
}
} // @mixin tablet

@ -0,0 +1,7 @@
$background_color: #FFF;
$overlayBackground: #FFF;
$videoWidth: 640px;
$videoHeight: 480px;
$text-font: Ubuntu, sans-serif;
$header-font: 'Cabin Condensed', sans-serif;

@ -0,0 +1,89 @@
#interactive.viewport{
width: $videoWidth;
height: $videoHeight;
}
#interactive.viewport canvas, video{
float: left;
width: $videoWidth;
height: $videoHeight;
&.drawingBuffer{
margin-left: -$videoWidth;
}
}
.controls {
fieldset {
border: none;
}
.input-group {
float: left;
input, button {
display: block;
}
}
.reader-config-group {
float: right;
label {
display: block;
span {
width: 11rem;
display: inline-block;
text-align: right;
}
}
}
&:after {
content:'';
display: block;
clear: both;
}
}
#result_strip{
margin: 10px 0;
border-top: 1px solid #EEE;
border-bottom: 1px solid #EEE;
padding: 10px 0;
& > ul {
padding: 0;
margin: 0;
list-style-type: none;
width: auto;
overflow-x: auto;
overflow-y: hidden;
white-space: nowrap;
& > li{
display: inline-block;
vertical-align: middle;
width: $videoWidth/4;
.thumbnail{
padding: 5px;
margin: 4px;
border: 1px dashed #CCC;
img{
max-width: $videoWidth/4 - 20px;
}
.caption{
white-space: normal;
h4{
text-align: center;
word-wrap: break-word;
height: 40px;
margin: 0px;
}
}
}
}
&:after{
content: "";
display: table;
clear: both;
}
}
}

@ -0,0 +1,55 @@
/* LESS - http://lesscss.org style sheet */
/* Palette color codes */
/* Palette URL: http://paletton.com/#uid=31g0q0kHZAviRSkrHLOGomVNzac */
/* Feel free to copy&paste color codes to your application */
/* MIXINS */
/* As hex codes */
$color-primary-0: #FFC600; /* Main Primary color */
$color-primary-1: #FFDD69;
$color-primary-2: #FFCE22;
$color-primary-3: #B78E00;
$color-primary-4: #513F00;
$color-secondary-1-0: #0A4DB7; /* Main Secondary color (1) */
$color-secondary-1-1: #6C9CE8;
$color-secondary-1-2: #2E6FD6;
$color-secondary-1-3: #073379;
$color-secondary-1-4: #021636;
$color-secondary-2-0: #5809BB; /* Main Secondary color (2) */
$color-secondary-2-1: #A36BE9;
$color-secondary-2-2: #782DD8;
$color-secondary-2-3: #3A077C;
$color-secondary-2-4: #190237;
/* As RGBa codes */
$rgba-primary-0: rgba(255,198, 0,1); /* Main Primary color */
$rgba-primary-1: rgba(255,221,105,1);
$rgba-primary-2: rgba(255,206, 34,1);
$rgba-primary-3: rgba(183,142, 0,1);
$rgba-primary-4: rgba( 81, 63, 0,1);
$rgba-secondary-1-0: rgba( 10, 77,183,1); /* Main Secondary color (1) */
$rgba-secondary-1-1: rgba(108,156,232,1);
$rgba-secondary-1-2: rgba( 46,111,214,1);
$rgba-secondary-1-3: rgba( 7, 51,121,1);
$rgba-secondary-1-4: rgba( 2, 22, 54,1);
$rgba-secondary-2-0: rgba( 88, 9,187,1); /* Main Secondary color (2) */
$rgba-secondary-2-1: rgba(163,107,233,1);
$rgba-secondary-2-2: rgba(120, 45,216,1);
$rgba-secondary-2-3: rgba( 58, 7,124,1);
$rgba-secondary-2-4: rgba( 25, 2, 55,1);
/* Generated by Paletton.com © 2002-2014 */
/* http://paletton.com */

@ -0,0 +1 @@
@import url('http://fonts.googleapis.com/css?family=Ubuntu:400,700|Cabin+Condensed:400,600');

@ -0,0 +1,15 @@
@include phone {
#container{
width: 300px;
margin: 10px auto;
@include box-shadow(none);
form.voucher-form{
input{
&.voucher-code{
width: 180px;
}
}
}
}
}

@ -0,0 +1,28 @@
@include phone {
$overlayWidth: $videoWidth;
$overlayHeadline: 16px;
$overlayHeadlineMargin: 14px;
$overlayPadding: 20px;
$overlayHeight: $videoHeight + $overlayHeadlineMargin + $overlayHeadline;
.overlay.scanner {
width: $overlayWidth;
height: $overlayHeight;
padding: $overlayPadding;
margin-top: -($overlayHeight)/2 - $overlayPadding;
margin-left: -($overlayWidth + 2*$overlayPadding)/2;
background-color: $overlayBackground;
@include box-shadow(none);
& > .header{
margin-bottom: $overlayHeadlineMargin;
h4, .close{
line-height: $overlayHeadline;
}
.close{
height: $overlayHeadline;
width: $overlayHeadline;
}
}
}
}

@ -0,0 +1,42 @@
@include phone {
$videoWidth: 300px;
$videoHeight: 400px;
#interactive.viewport{
width: $videoWidth;
height: $videoWidth;
overflow: hidden;
}
#interactive.viewport canvas, video{
margin-top: ($videoWidth - $videoHeight)/2;
width: $videoWidth;
height: $videoHeight;
&.drawingBuffer{
margin-left: -$videoWidth;
}
}
#result_strip{
margin-top: 5px;
padding-top: 5px;
ul.thumbnails{
& > li{
width: $videoWidth/2;
.thumbnail{
.imgWrapper{
width: $videoWidth/2 - 20px;
height: $videoWidth/2 - 20px;
overflow: hidden;
img{
margin-top: (($videoWidth/2 - 20px) - ($videoHeight/2 - 20px))/2;
width: $videoWidth/2 - 20px;
height: $videoHeight/2 - 20px;
}
}
}
}
}
}
}

@ -0,0 +1,14 @@
@import "compass/css3";
@import "variables";
@import "utility";
/* usual styles */
@import "fonts";
@import "viewport";
@import "overlay";
@import "icons";
@import "tablet";
@import "phone";

@ -0,0 +1,56 @@
@import "compass/css3";
@import "variables";
@import "utility";
/* usual styles */
@import "colors";
@import "fonts";
@import "viewport";
@import "overlay";
@import "icons";
@import "tablet";
@import "phone";
body{
background-color: #FFF;
margin: 0px;
font-family: $text-font;
color: #1e1e1e;
font-weight: normal;
padding-top: 0;
}
h1,h2,h3,h4 {
font-family: $header-font;
}
header {
background: $color-primary-0;
padding: 1em;
.headline {
width: 640px;
margin: 0 auto;
h1 {
color: $color-primary-1;
font-size: 3em;
margin-bottom: 0;
}
h2 {
margin-top: 0.2em;
}
}
}
footer {
background: $color-secondary-1-0;
color: $color-secondary-1-1;
padding: 1em 2em 2em;
}
#container{
width: 640px;
margin: 20px auto;
padding: 10px;
}

@ -39,15 +39,11 @@
<option value="code_39">Code 39</option>
<option value="code_39_vin">Code 39 VIN</option>
<option value="ean">EAN</option>
<option value="ean_extended">EAN-extended</option>
<option value="ean_8">EAN-8</option>
<option value="upc">UPC</option>
<option value="upc_e">UPC-E</option>
<option value="codabar">Codabar</option>
<option value="i2of5">I2of5</option>
<option value="i2of5">Interleaved 2 of 5</option>
<option value="2of5">Standard 2 of 5</option>
<option value="code_93">Code 93</option>
</select>
</fieldset>
</div>
@ -62,7 +58,7 @@
&copy; Copyright by Christoph Oberhofer
</p>
</footer>
<script src="vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="../src/vendor/jquery-1.9.0.min.js" type="text/javascript"></script>
<script src="../dist/quagga.js" type="text/javascript"></script>
<script src="static_images.js" type="text/javascript"></script>
</body>

@ -1,7 +1,7 @@
$(function() {
var App = {
init: function() {
var config = this.config[this.state.decoder.readers[0].format] || this.config.default;
var config = this.config[this.state.decoder.readers[0]] || this.config.default;
config = $.extend(true, {}, config, this.state);
Quagga.init(config, function() {
App.attachListeners();
@ -95,20 +95,7 @@ $(function() {
inputMapper: {
decoder: {
readers: function(value) {
if (value === 'ean_extended') {
return [{
format: "ean_reader",
config: {
supplements: [
'ean_5_reader', 'ean_2_reader'
]
}
}];
}
return [{
format: value + "_reader",
config: {}
}];
return [value + "_reader"];
}
},
inputStream: {
@ -122,10 +109,7 @@ $(function() {
src: "../test/fixtures/code_128/"
},
decoder : {
readers : [{
format: "code_128_reader",
config: {}
}]
readers : ["code_128_reader"]
}
}
};

@ -1,56 +1,32 @@
var path = require('path');
var webpack = require('webpack');
module.exports = function(config) {
config.set({
basePath: '',
frameworks: ['mocha', 'chai', 'sinon', 'sinon-chai'],
files: [
'test/test-main-integration.js',
{pattern: 'test/integration/**/*.js', included: false},
{pattern: 'test/fixtures/**/*.*', included: false}
],
preprocessors: {
'test/test-main-integration.js': ['webpack']
},
webpack: {
entry: [
'./src/quagga.js'
],
module: {
loaders: [{
test: /\.jsx?$/,
exclude: /node_modules/,
loader: 'babel-loader'
}]
},
resolve: {
modules: [
path.resolve('./src/input/'),
path.resolve('./src/common/'),
'node_modules'
]
},
plugins: [
new webpack.DefinePlugin({
ENV: require(path.join(__dirname, './env/production'))
})
]
},
plugins: [
'karma-chrome-launcher',
'karma-mocha',
'karma-chai',
'karma-sinon',
'karma-sinon-chai',
require('karma-webpack')
],
reporters: ['progress'],
port: 9876,
colors: true,
logLevel: config.LOG_INFO, // LOG_DEBUG
autoWatch: true,
browsers: ['Chrome'],
singleRun: false
});
config.set({
basePath: '',
frameworks: ['mocha', 'requirejs', 'chai', 'sinon', 'sinon-chai'],
files: [
'test-main.js',
'src/vendor/glMatrix.js',
'src/typedefs.js',
{pattern: 'node_modules/async/lib/async.js', included: false},
{pattern: 'src/*.js', included: false},
{pattern: 'spec/**/*integration.spec.js', included: false},
{pattern: 'test/**/*.*', included: false}
],
exclude: [
],
plugins: [
'karma-chrome-launcher',
'karma-mocha',
'karma-requirejs',
'karma-chai',
'karma-sinon',
'karma-sinon-chai'
],
reporters: ['progress'],
port: 9876,
colors: true,
logLevel: config.LOG_INFO,
autoWatch: true,
browsers: ['Chrome'],
singleRun: false
});
};

@ -1,68 +1,42 @@
var path = require('path');
var webpack = require('webpack');
module.exports = function(config) {
config.set({
basePath: '',
frameworks: ['source-map-support', 'mocha', 'chai', 'sinon', 'sinon-chai'],
files: [
'test/test-main.js',
{pattern: 'test/spec/**/*.js', included: false}
],
preprocessors: {
'test/test-main.js': ['webpack']
},
webpack: {
entry: [
'./src/quagga.js'
],
module: {
loaders: [{
test: /\.jsx?$/,
exclude: [
path.resolve('node_modules/')
],
loader: 'babel-loader'
}, {
test: /\.js$/,
include: path.resolve('src'),
loader: 'babel-istanbul-loader'
}]
},
resolve: {
modules: [
path.resolve('./src/input/'),
path.resolve('./test/mocks/'),
'node_modules'
]
},
plugins: [
new webpack.DefinePlugin({
ENV: require(path.join(__dirname, './env/production'))
})
]
},
plugins: [
'karma-chrome-launcher',
'karma-firefox-launcher',
'karma-coverage',
'karma-mocha',
'karma-chai',
'karma-sinon',
'karma-sinon-chai',
'karma-source-map-support',
require('karma-webpack')
],
reporters: ['progress', 'coverage'],
port: 9876,
colors: true,
logLevel: config.LOG_INFO,
autoWatch: true,
browsers: ['Chrome'],
singleRun: false,
coverageReporter: {
type: 'html',
dir: 'coverage/'
}
});
config.set({
basePath: '',
frameworks: ['mocha', 'requirejs', 'chai', 'sinon', 'sinon-chai'],
files: [
'test-main.js',
'src/vendor/glMatrix.js',
'src/typedefs.js',
{pattern: 'node_modules/async/lib/async.js', included: false},
{pattern: 'src/*.js', included: false},
{pattern: 'spec/**/*.js', included: false},
{pattern: 'test/**/*.*', included: false}
],
exclude: [
'spec/**/*integration.spec.js'
],
preprocessors: {
'src/*.js': ['coverage']
},
plugins: [
'karma-chrome-launcher',
'karma-coverage',
'karma-mocha',
'karma-requirejs',
'karma-chai',
'karma-sinon',
'karma-sinon-chai',
'karma-phantomjs-launcher'
],
reporters: ['progress', 'coverage'],
port: 9876,
colors: true,
logLevel: config.LOG_INFO,
autoWatch: true,
browsers: ['Chrome'],
singleRun: false,
coverageReporter: {
type : 'html',
dir : 'coverage/'
}
});
};

@ -1,95 +0,0 @@
const CVUtils = require('../src/common/cv_utils'),
Ndarray = require("ndarray"),
Interp2D = require("ndarray-linear-interpolate").d2;
var FrameGrabber = {};
FrameGrabber.create = function(inputStream) {
var _that = {},
_streamConfig = inputStream.getConfig(),
_video_size = CVUtils.imageRef(inputStream.getRealWidth(), inputStream.getRealHeight()),
_canvasSize = inputStream.getCanvasSize(),
_size = CVUtils.imageRef(inputStream.getWidth(), inputStream.getHeight()),
_topRight = inputStream.getTopRight(),
_data = new Uint8Array(_size.x * _size.y),
_grayData = new Uint8Array(_video_size.x * _video_size.y),
_canvasData = new Uint8Array(_canvasSize.x * _canvasSize.y),
_grayImageArray = Ndarray(_grayData, [_video_size.y, _video_size.x]).transpose(1, 0),
_canvasImageArray = Ndarray(_canvasData, [_canvasSize.y, _canvasSize.x]).transpose(1, 0),
_targetImageArray = _canvasImageArray.hi(_topRight.x + _size.x, _topRight.y + _size.y).lo(_topRight.x, _topRight.y),
_stepSizeX = _video_size.x/_canvasSize.x,
_stepSizeY = _video_size.y/_canvasSize.y;
console.log("FrameGrabber", JSON.stringify({
videoSize: _grayImageArray.shape,
canvasSize: _canvasImageArray.shape,
stepSize: [_stepSizeX, _stepSizeY],
size: _targetImageArray.shape,
topRight: _topRight
}));
/**
* Uses the given array as frame-buffer
*/
_that.attachData = function(data) {
_data = data;
};
/**
* Returns the used frame-buffer
*/
_that.getData = function() {
return _data;
};
/**
* Fetches a frame from the input-stream and puts into the frame-buffer.
* The image-data is converted to gray-scale and then half-sampled if configured.
*/
_that.grab = function() {
var frame = inputStream.getFrame();
if (frame) {
this.scaleAndCrop(frame);
return true;
} else {
return false;
}
};
_that.scaleAndCrop = function(frame) {
var x,
y;
// 1. compute full-sized gray image
CVUtils.computeGray(frame.data, _grayData);
// 2. interpolate
for (y = 0; y < _canvasSize.y; y++) {
for (x = 0; x < _canvasSize.x; x++) {
_canvasImageArray.set(x, y, (Interp2D(_grayImageArray, x * _stepSizeX, y * _stepSizeY)) | 0);
}
}
// targetImageArray must be equal to targetSize
if (_targetImageArray.shape[0] !== _size.x ||
_targetImageArray.shape[1] !== _size.y) {
throw new Error("Shapes do not match!");
}
// 3. crop
for (y = 0; y < _size.y; y++) {
for (x = 0; x < _size.x; x++) {
_data[y * _size.x + x] = _targetImageArray.get(x, y);
}
}
},
_that.getSize = function() {
return _size;
};
return _that;
};
module.exports = FrameGrabber;

@ -1,153 +0,0 @@
const GetPixels = require("get-pixels");
var InputStream = {};
InputStream.createImageStream = function() {
var that = {};
var _config = null;
var width = 0,
height = 0,
frameIdx = 0,
paused = true,
loaded = false,
frame = null,
baseUrl,
ended = false,
size,
calculatedWidth,
calculatedHeight,
_eventNames = ['canrecord', 'ended'],
_eventHandlers = {},
_topRight = {x: 0, y: 0},
_canvasSize = {x: 0, y: 0};
function loadImages() {
loaded = false;
GetPixels(baseUrl, _config.mime, function(err, pixels) {
if (err) {
console.log(err);
exit(1);
}
loaded = true;
console.log(pixels.shape);
frame = pixels;
width = pixels.shape[0];
height = pixels.shape[1];
calculatedWidth = _config.size ? width/height > 1 ? _config.size : Math.floor((width/height) * _config.size) : width;
calculatedHeight = _config.size ? width/height > 1 ? Math.floor((height/width) * _config.size) : _config.size : height;
_canvasSize.x = calculatedWidth;
_canvasSize.y = calculatedHeight;
setTimeout(function() {
publishEvent("canrecord", []);
}, 0);
});
}
function publishEvent(eventName, args) {
var j,
handlers = _eventHandlers[eventName];
if (handlers && handlers.length > 0) {
for ( j = 0; j < handlers.length; j++) {
handlers[j].apply(that, args);
}
}
}
that.trigger = publishEvent;
that.getWidth = function() {
return calculatedWidth;
};
that.getHeight = function() {
return calculatedHeight;
};
that.setWidth = function(width) {
calculatedWidth = width;
};
that.setHeight = function(height) {
calculatedHeight = height;
};
that.getRealWidth = function() {
return width;
};
that.getRealHeight = function() {
return height;
};
that.setInputStream = function(stream) {
_config = stream;
baseUrl = _config.src;
size = 1;
loadImages();
};
that.ended = function() {
return ended;
};
that.setAttribute = function() {};
that.getConfig = function() {
return _config;
};
that.pause = function() {
paused = true;
};
that.play = function() {
paused = false;
};
that.setCurrentTime = function(time) {
frameIdx = time;
};
that.addEventListener = function(event, f) {
if (_eventNames.indexOf(event) !== -1) {
if (!_eventHandlers[event]) {
_eventHandlers[event] = [];
}
_eventHandlers[event].push(f);
}
};
that.setTopRight = function(topRight) {
_topRight.x = topRight.x;
_topRight.y = topRight.y;
};
that.getTopRight = function() {
return _topRight;
};
that.setCanvasSize = function(size) {
_canvasSize.x = size.x;
_canvasSize.y = size.y;
};
that.getCanvasSize = function() {
return _canvasSize;
};
that.getFrame = function() {
if (!loaded){
return null;
}
return frame;
};
return that;
};
module.exports = InputStream;

File diff suppressed because one or more lines are too long

@ -1,82 +1,32 @@
{
"name": "quagga",
"version": "0.12.1",
"version": "0.6.15",
"description": "An advanced barcode-scanner written in JavaScript",
"main": "lib/quagga.js",
"typings": "type-definitions/quagga.d.ts",
"browser": "dist/quagga.min.js",
"typings": "type-definitions/quagga.d.ts",
"main": "dist/quagga.js",
"devDependencies": {
"async": "^1.4.2",
"babel-cli": "^6.5.1",
"babel-core": "^6.21.0",
"babel-eslint": "^7.1.1",
"babel-istanbul": "^0.8.0",
"babel-istanbul-loader": "^0.1.0",
"babel-loader": "^6.2.10",
"babel-plugin-add-module-exports": "^0.2.1",
"babel-plugin-check-es2015-constants": "^6.3.13",
"babel-plugin-lodash": "^3.2.11",
"babel-plugin-transform-es2015-arrow-functions": "^6.3.13",
"babel-plugin-transform-es2015-block-scoped-functions": "^6.3.13",
"babel-plugin-transform-es2015-block-scoping": "^6.21.0",
"babel-plugin-transform-es2015-classes": "^6.3.13",
"babel-plugin-transform-es2015-computed-properties": "^6.3.13",
"babel-plugin-transform-es2015-destructuring": "^6.3.13",
"babel-plugin-transform-es2015-for-of": "^6.3.13",
"babel-plugin-transform-es2015-function-name": "^6.3.13",
"babel-plugin-transform-es2015-literals": "^6.3.13",
"babel-plugin-transform-es2015-modules-commonjs": "^6.3.13",
"babel-plugin-transform-es2015-object-super": "^6.3.13",
"babel-plugin-transform-es2015-parameters": "^6.21.0",
"babel-plugin-transform-es2015-shorthand-properties": "^6.3.13",
"babel-plugin-transform-es2015-spread": "^6.3.13",
"babel-plugin-transform-es2015-sticky-regex": "^6.3.13",
"babel-plugin-transform-es2015-template-literals": "^6.3.13",
"babel-plugin-transform-es2015-typeof-symbol": "^6.3.13",
"babel-plugin-transform-es2015-unicode-regex": "^6.3.13",
"babel-plugin-transform-object-rest-spread": "^6.5.0",
"babel-plugin-transform-regenerator": "^6.21.0",
"chai": "^3.4.1",
"core-js": "^2.4.1",
"cross-env": "^3.1.4",
"eslint": "^1.10.3",
"grunt": "^0.4.5",
"grunt-cli": "^0.1.13",
"grunt-contrib-nodeunit": "^0.4.1",
"grunt-karma": "^2.0.0",
"isparta-loader": "^2.0.0",
"karma": "^1.3.0",
"karma-chai": "0.1.0",
"karma-chrome-launcher": "^2.0.0",
"karma-coverage": "^1.1.1",
"karma-firefox-launcher": "^0.1.7",
"karma-mocha": "~0.2.0",
"karma-phantomjs-launcher": "^0.2.1",
"async": "^0.9.0",
"grunt": "~0.4.5",
"grunt-contrib-jshint": "~0.10.0",
"grunt-contrib-nodeunit": "~0.4.1",
"grunt-contrib-uglify": "~0.5.0",
"grunt-karma": "^0.9.0",
"grunt-requirejs": "^0.4.2",
"karma": "latest",
"karma-chai": "latest",
"karma-chrome-launcher": "^0.1.12",
"karma-coverage": "^0.3.1",
"karma-mocha": "latest",
"karma-phantomjs-launcher": "^0.1.4",
"karma-requirejs": "^0.2.2",
"karma-sinon": "^1.0.4",
"karma-sinon-chai": "^1.1.0",
"karma-source-map-support": "^1.1.0",
"karma-webpack": "^1.8.1",
"lolex": "^1.4.0",
"mocha": "^2.3.2",
"phantomjs": "^1.9.18",
"sinon": "^1.17.7",
"sinon-chai": "^2.8.0",
"webpack": "^2.2.1",
"webpack-sources": "^0.1.4"
"karma-sinon-chai": "^0.2.0",
"sinon": "^1.12.1"
},
"directories": {
"doc": "doc"
},
"scripts": {
"test": "cross-env BABEL_ENV=commonjs grunt test",
"integrationtest": "grunt integrationtest",
"build:dev": "cross-env BUILD_ENV=development webpack",
"build:prod": "cross-env BUILD_ENV=production webpack --config webpack.config.min.js && grunt uglyasm",
"build:node": "cross-env BABEL_ENV=commonjs BUILD_ENV=node webpack --config webpack.node.config.js",
"build": "npm run build:dev && npm run build:prod && npm run build:node",
"watch": "cross-env BUILD_ENV=development webpack --watch",
"lint": "eslint src"
"test": "karma start"
},
"repository": {
"type": "git",
@ -99,17 +49,5 @@
"imageprocessing"
],
"author": "Christoph Oberhofer <ch.oberhofer@gmail.com>",
"license": "MIT",
"engines": {
"node": ">= 4.0"
},
"dependencies": {
"get-pixels": "^3.2.3",
"gl-mat2": "^1.0.0",
"gl-vec2": "^1.0.0",
"gl-vec3": "^1.0.3",
"lodash": "^4.17.4",
"ndarray": "^1.0.18",
"ndarray-linear-interpolate": "^1.0.0"
}
"license": "MIT"
}

@ -1,32 +0,0 @@
var ConcatSource = require("webpack-sources").ConcatSource;
var OriginalSource = require("webpack-sources").OriginalSource;
function MyUmdPlugin(options) {
this.name = options.library;
}
module.exports = MyUmdPlugin;
MyUmdPlugin.prototype.apply = function(compiler) {
compiler.plugin("this-compilation", function(compilation) {
var mainTemplate = compilation.mainTemplate;
compilation.templatesPlugin("render-with-entry", function(source, chunk, hash) {
return new ConcatSource(new OriginalSource(
"(function webpackUniversalModuleDefinition(root, factory) {\n" +
" if(typeof exports === 'object' && typeof module === 'object')\n" +
" module.exports = factory(factory.toString()).default;\n" +
" else if(typeof exports === 'object')\n" +
" exports[\"" + this.name + "\"] = factory(factory.toString()).default;\n" +
" else\n" +
" root[\"" + this.name + "\"] = factory(factory.toString()).default;\n" +
"})(this, function(__factorySource__) {\nreturn ", "webpack/myModuleDefinition"), source, "\n});\n");
}.bind(this));
mainTemplate.plugin("global-hash-paths", function(paths) {
if(this.name) paths = paths.concat(this.name);
return paths;
}.bind(this));
mainTemplate.plugin("hash", function(hash) {
hash.update("umd");
hash.update(this.name + "");
}.bind(this));
}.bind(this));
};

@ -1,33 +0,0 @@
-----BEGIN RSA PRIVATE KEY-----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-----END RSA PRIVATE KEY-----
-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----

@ -1,30 +0,0 @@
# taken from http://www.piware.de/2011/01/creating-an-https-server-in-python/
# generate server.xml with the following command:
# openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes
# run as follows:
# python simple-https-server.py
# then in your browser, visit:
# https://localhost:4443
import BaseHTTPServer, SimpleHTTPServer
import ssl
import sys, getopt
host = 'localhost'
port = 4443
try:
opts, args = getopt.getopt(sys.argv[1:],"",["host=", "port="])
except getopt.GetoptError:
print 'simple-https-server.py --host <host> --port <port>'
sys.exit(2)
for opt, arg in opts:
if opt in ("--host"):
host = arg
elif opt in ("--port"):
port = int(arg)
print 'host is ', host
print 'port is ', port
httpd = BaseHTTPServer.HTTPServer((host, port), SimpleHTTPServer.SimpleHTTPRequestHandler)
httpd.socket = ssl.wrap_socket (httpd.socket, certfile='./server.pem', server_side=True)
httpd.serve_forever()

@ -0,0 +1,53 @@
define(['array_helper'], function(ArrayHelper){
describe('init', function() {
it('initializes an array with the given value', function() {
var input = [0, 0, 0];
ArrayHelper.init(input, 5);
expect(input).to.deep.equal([5, 5, 5]);
});
});
describe('shuffle', function() {
before(function() {
sinon.stub(Math, 'random').returns(0.5);
});
after(function() {
sinon.restore(Math);
});
it('shuffles the content of an array', function() {
var input = [1, 2, 3];
expect(ArrayHelper.shuffle(input)).to.deep.equal([3, 1, 2]);
});
});
describe('toPointList', function() {
it('converts an Array to a List of poitns', function() {
var input = [[1, 2], [2, 2], [3, 2]];
expect(ArrayHelper.toPointList(input)).to.equal("[[1,2],\r\n[2,2],\r\n[3,2]]");
});
});
describe('threshold', function() {
it('returns all elements above the given threshold', function() {
var input = [1, 2, 3];
expect(ArrayHelper.threshold(input, 2, function(score) {
return score * 1.5;
})).to.deep.equal([2, 3]);
});
});
describe('maxIndex', function() {
it('gets the index of the biggest element in the array', function() {
var input = [1, 2, 3];
expect(ArrayHelper.maxIndex(input)).to.equal(2);
});
});
describe('max', function() {
it('gets the biggest element in the array', function() {
var input = [1, 3, 2];
expect(ArrayHelper.max(input)).to.equal(3);
});
});
});

@ -0,0 +1,131 @@
define(['barcode_locator', 'config', 'html_utils'],
function(BarcodeLocator, Config, HtmlUtils){
describe('checkImageConstraints', function() {
var config,
inputStream,
imageSize,
streamConfig = {};
beforeEach(function() {
imageSize = {
x: 640, y: 480
};
config = HtmlUtils.mergeObjects({}, Config);
inputStream = {
getWidth: function() {
return imageSize.x;
},
getHeight: function() {
return imageSize.y;
},
setWidth: function() {},
setHeight: function() {},
setTopRight: function() {},
setCanvasSize: function() {},
getConfig: function() {
return streamConfig;
}
};
sinon.stub(inputStream, "setWidth", function(width) {
imageSize.x = width;
});
sinon.stub(inputStream, "setHeight", function(height) {
imageSize.y = height;
});
sinon.stub(inputStream, "setTopRight");
sinon.stub(inputStream, "setCanvasSize");
});
afterEach(function() {
inputStream.setWidth.restore();
inputStream.setHeight.restore();
});
it('should not adjust the image-size if not needed', function() {
var expected = {x: imageSize.x, y: imageSize.y};
BarcodeLocator.checkImageConstraints(inputStream, config.locator);
expect(inputStream.getWidth()).to.be.equal(expected.x);
expect(inputStream.getHeight()).to.be.equal(expected.y);
});
it('should adjust the image-size', function() {
var expected = {x: imageSize.x, y: imageSize.y};
config.locator.halfSample = true;
imageSize.y += 1;
BarcodeLocator.checkImageConstraints(inputStream, config.locator);
expect(inputStream.getWidth()).to.be.equal(expected.x);
expect(inputStream.getHeight()).to.be.equal(expected.y);
});
it('should adjust the image-size', function() {
var expected = {x: imageSize.x, y: imageSize.y};
imageSize.y += 1;
config.locator.halfSample = false;
BarcodeLocator.checkImageConstraints(inputStream, config.locator);
expect(inputStream.getHeight()).to.be.equal(expected.y);
expect(inputStream.getWidth()).to.be.equal(expected.x);
});
it("should take the defined area into account", function() {
var expectedSize = {
x: 420,
y: 315
},
expectedTopRight = {
x: 115,
y: 52
},
expectedCanvasSize = {
x: 640,
y: 480
};
streamConfig.area = {
top: "11%",
right: "15%",
bottom: "20%",
left: "18%"
};
config.locator.halfSample = false;
BarcodeLocator.checkImageConstraints(inputStream, config.locator);
expect(inputStream.getHeight()).to.be.equal(expectedSize.y);
expect(inputStream.getWidth()).to.be.equal(expectedSize.x);
expect(inputStream.setTopRight.getCall(0).args[0]).to.deep.equal(expectedTopRight);
expect(inputStream.setCanvasSize.getCall(0).args[0]).to.deep.equal(expectedCanvasSize);
});
it("should return the original size if set to full image", function() {
var expectedSize = {
x: 640,
y: 480
},
expectedTopRight = {
x: 0,
y: 0
},
expectedCanvasSize = {
x: 640,
y: 480
};
streamConfig.area = {
top: "0%",
right: "0%",
bottom: "0%",
left: "0%"
};
config.locator.halfSample = false;
BarcodeLocator.checkImageConstraints(inputStream, config.locator);
expect(inputStream.getHeight()).to.be.equal(expectedSize.y);
expect(inputStream.getWidth()).to.be.equal(expectedSize.x);
expect(inputStream.setTopRight.getCall(0).args[0]).to.deep.equal(expectedTopRight);
expect(inputStream.setCanvasSize.getCall(0).args[0]).to.deep.equal(expectedCanvasSize);
});
});
});

@ -0,0 +1,123 @@
define(['camera_access'], function(CameraAccess){
var originalURL,
originalMediaStreamTrack,
video,
stream;
beforeEach(function() {
var tracks = [{
stop: function() {}
}];
originalURL = window.URL;
originalMediaStreamTrack = window.MediaStreamTrack;
window.MediaStreamTrack = {};
window.URL = null;
stream = {
getVideoTracks: function() {
return tracks;
}
};
sinon.spy(tracks[0], "stop");
video = {
src: null,
addEventListener: function() {
},
removeEventListener: function() {
},
play: function() {
},
videoWidth: 320,
videoHeight: 480
};
sinon.stub(video, "addEventListener", function(event, cb) {
cb();
});
sinon.stub(video, "play");
});
afterEach(function() {
window.URL = originalURL;
window.MediaStreamTrack = originalMediaStreamTrack;
});
describe('success', function() {
beforeEach(function() {
sinon.stub(navigator, "getUserMedia", function(constraints, success) {
success(stream);
});
});
afterEach(function() {
navigator.getUserMedia.restore();
});
describe('request', function () {
it('should request the camera', function (done) {
CameraAccess.request(video, {}, function () {
expect(navigator.getUserMedia.calledOnce).to.equal(true);
expect(video.src).to.deep.equal(stream);
done();
});
});
});
describe('release', function () {
it('should release the camera', function (done) {
CameraAccess.request(video, {}, function () {
expect(video.src).to.deep.equal(stream);
CameraAccess.release();
expect(video.src.getVideoTracks()).to.have.length(1);
expect(video.src.getVideoTracks()[0].stop.calledOnce).to.equal(true);
done();
});
});
});
});
describe('failure', function() {
describe("permission denied", function(){
before(function() {
sinon.stub(navigator, "getUserMedia", function(constraints, success, failure) {
failure(new Error());
});
});
after(function() {
navigator.getUserMedia.restore();
});
it('should throw if getUserMedia not available', function(done) {
CameraAccess.request(video, {}, function(err) {
expect(err).to.be.defined;
done();
});
});
});
describe("not available", function(){
var originalGetUserMedia;
before(function() {
originalGetUserMedia = navigator.getUserMedia;
navigator.getUserMedia = undefined;
});
after(function() {
navigator.getUserMedia = originalGetUserMedia;
});
it('should throw if getUserMedia not available', function(done) {
CameraAccess.request(video, {}, function(err) {
expect(err).to.be.defined;
done();
});
});
});
});
});

@ -0,0 +1,145 @@
define(['cv_utils'], function(CVUtils){
describe('imageRef', function() {
it('gets the image Reference for a coordinate', function() {
var res = CVUtils.imageRef(1, 2);
expect(res.x).to.equal(1);
expect(res.y).to.equal(2);
expect(res.toVec2()[0]).to.equal(1);
});
});
describe('calculatePatchSize', function() {
it('should not throw an error in case of valid image size', function() {
var expected = {x: 32, y: 32},
patchSize = CVUtils.calculatePatchSize("medium", {x: 640, y: 480});
expect(patchSize).to.be.deep.equal(expected);
});
it('should thow an error if image size it not valid', function() {
var expected = {x: 32, y: 32},
patchSize = CVUtils.calculatePatchSize("medium", {x: 640, y: 480});
expect(patchSize).to.be.deep.equal(expected);
});
});
describe('_parseCSSDimensionValues', function() {
it("should convert a percentual value correctly", function() {
var expected = {
value: 10,
unit: "%"
},
result = CVUtils._parseCSSDimensionValues("10%");
expect(result).to.be.deep.equal(expected);
});
it("should convert a 0% value correctly", function() {
var expected = {
value: 100,
unit: "%"
},
result = CVUtils._parseCSSDimensionValues("100%");
expect(result).to.be.deep.equal(expected);
});
it("should convert a 100% value correctly", function() {
var expected = {
value: 0,
unit: "%"
},
result = CVUtils._parseCSSDimensionValues("0%");
expect(result).to.be.deep.equal(expected);
});
it("should convert a pixel value to percentage", function() {
var expected = {
value: 26.3,
unit: "%"
},
result = CVUtils._parseCSSDimensionValues("26.3px");
console.log(result);
expect(result).to.be.deep.equal(expected);
});
});
describe("_dimensionsConverters", function(){
var context;
beforeEach(function() {
context = {
width: 640,
height: 480
};
});
it("should convert a top-value correclty", function() {
var expected = 48,
result = CVUtils._dimensionsConverters.top({value: 10, unit: "%"}, context);
expect(result).to.be.equal(expected);
});
it("should convert a right-value correclty", function() {
var expected = 640 - 128,
result = CVUtils._dimensionsConverters.right({value: 20, unit: "%"}, context);
expect(result).to.be.equal(expected);
});
it("should convert a bottom-value correclty", function() {
var expected = 480 - 77,
result = CVUtils._dimensionsConverters.bottom({value: 16, unit: "%"}, context);
expect(result).to.be.equal(expected);
});
it("should convert a left-value correclty", function() {
var expected = 57,
result = CVUtils._dimensionsConverters.left({value: 9, unit: "%"}, context);
expect(result).to.be.equal(expected);
});
});
describe("computeImageArea", function() {
it("should calculate an image-area", function() {
var expected = {
sx: 115,
sy: 48,
sw: 429,
sh: 336
},
result = CVUtils.computeImageArea(640, 480, {
top: "10%",
right: "15%",
bottom: "20%",
left: "18%"
});
expect(result).to.be.deep.equal(expected);
});
it("should calculate full image-area", function() {
var expected = {
sx: 0,
sy: 0,
sw: 640,
sh: 480
},
result = CVUtils.computeImageArea(640, 480, {
top: "0%",
right: "0%",
bottom: "0%",
left: "0%"
});
expect(result).to.be.deep.equal(expected);
});
});
});

@ -0,0 +1,114 @@
define(['events'], function(Events){
beforeEach(function() {
Events.unsubscribe();
});
describe("subscribe", function() {
it("should call one callback for a single event", function() {
var callbackA = sinon.stub(),
callbackB = sinon.stub();
Events.subscribe("test", callbackA);
Events.subscribe("test", callbackB);
Events.publish("test");
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
});
it("should call one callback twice if published twice", function() {
var callback = sinon.stub();
Events.subscribe("test", callback);
Events.publish("test");
Events.publish("test");
expect(callback.calledTwice).to.be.equal(true);
});
it("should call the callback asynchronuously", function(done) {
var test = {
callback: function() {
}
};
sinon.stub(test, "callback", function() {
expect(test.callback.calledOnce).to.be.true;
done();
});
Events.subscribe("test", test.callback, true);
Events.publish("test");
expect(test.callback.called).to.be.false;
});
});
describe("once", function() {
it("should call the callback once, even when published twice", function() {
var callbackA = sinon.stub(),
callbackB = sinon.stub();
Events.once("test", callbackA);
Events.subscribe("test", callbackB);
Events.publish("test");
Events.publish("test");
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledTwice).to.be.equal(true);
});
});
describe("unsubscribe", function() {
it("should unsubscribe all callbacks from a single event", function() {
var callbackA = sinon.stub(),
callbackB = sinon.stub(),
callbackC = sinon.stub();
Events.subscribe("test", callbackA);
Events.subscribe("test", callbackB);
Events.subscribe("testC", callbackC);
Events.publish("test");
expect(callbackC.called).to.be.equal(false);
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
Events.publish("testC");
expect(callbackC.calledOnce).to.be.equal(true);
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
Events.unsubscribe("test");
Events.publish("test");
expect(callbackC.calledOnce).to.be.equal(true);
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
});
it("should unsubscribe a single callback from a single event", function() {
var callbackA = sinon.stub(),
callbackB = sinon.stub();
Events.subscribe("test", callbackA);
Events.subscribe("test", callbackB);
Events.publish("test");
expect(callbackA.calledOnce).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
Events.unsubscribe("test", callbackB);
Events.publish("test");
expect(callbackA.calledTwice).to.be.equal(true);
expect(callbackB.calledOnce).to.be.equal(true);
});
});
});

@ -0,0 +1,248 @@
define(['quagga', 'async'], function(Quagga, async) {
describe('decodeSingle', function () {
var baseFolder = "base/test/fixtures/";
function generateConfig() {
return {
inputStream: {
size: 640
},
locator: {
patchSize: "medium",
halfSample: true
},
numOfWorkers: 0,
decoder: {
readers: ["ean_reader"]
},
locate: true,
src: null
};
}
this.timeout(10000);
function _runTestSet(testSet, config) {
var readers = config.decoder.readers.slice(),
format,
folder;
if (typeof readers[0] === 'string'){
format = readers[0];
} else {
format = readers[0].format;
}
folder = baseFolder + format.split('_').slice(0, -1).join('_') + "/";
it('should decode ' + folder + " correctly", function(done) {
async.eachSeries(testSet, function (sample, callback) {
config.src = folder + sample.name;
config.readers = readers;
Quagga.decodeSingle(config, function(result) {
console.log(sample.name);
expect(result.codeResult.code).to.equal(sample.result);
expect(result.codeResult.format).to.equal(sample.format);
callback();
});
}, function() {
done();
});
});
}
describe("EAN", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "3574660239843"},
{"name": "image-002.jpg", "result": "8032754490297"},
{"name": "image-003.jpg", "result": "4006209700068"},
/* {"name": "image-004.jpg", "result": "9002233139084"}, */
/* {"name": "image-005.jpg", "result": "8004030044005"}, */
{"name": "image-006.jpg", "result": "4003626011159"},
{"name": "image-007.jpg", "result": "2111220009686"},
{"name": "image-008.jpg", "result": "9000275609022"},
{"name": "image-009.jpg", "result": "9004593978587"},
{"name": "image-010.jpg", "result": "9002244845578"}
];
testSet.forEach(function(sample) {
sample.format = "ean_13";
});
config.decoder.readers = ['ean_reader'];
_runTestSet(testSet, config);
});
describe("Code128", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "0001285112001000040801"},
// {"name": "image-002.jpg", "result": "FANAVF1461710"},
// {"name": "image-003.jpg", "result": "673023"},
// {"name": "image-004.jpg", "result": "010210150301625334"},
{"name": "image-005.jpg", "result": "419055603900009001012999"},
{"name": "image-006.jpg", "result": "419055603900009001012999"},
{"name": "image-007.jpg", "result": "T 000003552345"},
{"name": "image-008.jpg", "result": "FANAVF1461710"},
{"name": "image-009.jpg", "result": "0001285112001000040801"},
{"name": "image-010.jpg", "result": "673023"}
];
testSet.forEach(function(sample) {
sample.format = "code_128";
});
config.decoder.readers = ['code_128_reader'];
_runTestSet(testSet, config);
});
describe("Code39", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "B3% $DAD$"},
{"name": "image-003.jpg", "result": "CODE39"},
{"name": "image-004.jpg", "result": "QUAGGAJS"},
/* {"name": "image-005.jpg", "result": "CODE39"}, */
{"name": "image-006.jpg", "result": "2/4-8/16-32"},
{"name": "image-007.jpg", "result": "2/4-8/16-32"},
{"name": "image-008.jpg", "result": "CODE39"},
{"name": "image-009.jpg", "result": "2/4-8/16-32"},
{"name": "image-010.jpg", "result": "CODE39"}
];
testSet.forEach(function(sample) {
sample.format = "code_39";
});
config.decoder.readers = ['code_39_reader'];
_runTestSet(testSet, config);
});
describe("EAN-8", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "42191605"},
{"name": "image-002.jpg", "result": "42191605"},
{"name": "image-003.jpg", "result": "90311208"},
{"name": "image-004.jpg", "result": "24057257"},
{"name": "image-005.jpg", "result": "90162602"},
{"name": "image-006.jpg", "result": "24036153"},
{"name": "image-007.jpg", "result": "42176817"},
{"name": "image-008.jpg", "result": "42191605"},
{"name": "image-009.jpg", "result": "42242215"},
{"name": "image-010.jpg", "result": "42184799"}
];
testSet.forEach(function(sample) {
sample.format = "ean_8";
});
config.decoder.readers = ['ean_8_reader'];
_runTestSet(testSet, config);
});
describe("UPC", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "882428015268"},
{"name": "image-002.jpg", "result": "882428015268"},
{"name": "image-003.jpg", "result": "882428015084"},
{"name": "image-004.jpg", "result": "882428015343"},
{"name": "image-005.jpg", "result": "882428015343"},
/* {"name": "image-006.jpg", "result": "882428015046"}, */
{"name": "image-007.jpg", "result": "882428015084"},
{"name": "image-008.jpg", "result": "882428015046"},
{"name": "image-009.jpg", "result": "039047013551"},
{"name": "image-010.jpg", "result": "039047013551"}
];
testSet.forEach(function(sample) {
sample.format = "upc_a";
});
config.decoder.readers = ['upc_reader'];
_runTestSet(testSet, config);
});
describe("UPC-E", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "04965802"},
{"name": "image-002.jpg", "result": "04965802"},
{"name": "image-003.jpg", "result": "03897425"},
{"name": "image-004.jpg", "result": "05096893"},
{"name": "image-005.jpg", "result": "05096893"},
{"name": "image-006.jpg", "result": "05096893"},
{"name": "image-007.jpg", "result": "03897425"},
{"name": "image-008.jpg", "result": "01264904"},
/*{"name": "image-009.jpg", "result": "01264904"},*/
{"name": "image-010.jpg", "result": "01264904"}
];
testSet.forEach(function(sample) {
sample.format = "upc_e";
});
config.decoder.readers = ['upc_e_reader'];
_runTestSet(testSet, config);
});
describe("Codabar", function() {
var config = generateConfig(),
testSet = [
{"name": "image-001.jpg", "result": "A10/53+17-70D"},
{"name": "image-002.jpg", "result": "B546745735B"},
{"name": "image-003.jpg", "result": "C$399.95A"},
{"name": "image-004.jpg", "result": "B546745735B"},
{"name": "image-005.jpg", "result": "C$399.95A"},
{"name": "image-006.jpg", "result": "B546745735B"},
{"name": "image-007.jpg", "result": "C$399.95A"},
{"name": "image-008.jpg", "result": "A16:9/4:3/3:2D"},
{"name": "image-009.jpg", "result": "C$399.95A"},
{"name": "image-010.jpg", "result": "C$399.95A"}
];
testSet.forEach(function(sample) {
sample.format = "codabar";
});
config.decoder.readers = ['codabar_reader'];
_runTestSet(testSet, config);
});
describe("I2of5 with localization", function() {
var config = {
inputStream: {
size: 800,
singleChannel: false
},
locator: {
patchSize: "small",
halfSample: false
},
numOfWorkers: 0,
decoder: {
readers: ["i2of5_reader"],
},
locate: true,
src: null
}, testSet = [
{"name": "image-001.jpg", "result": "2167361334"},
{"name": "image-002.jpg", "result": "2167361334"},
{"name": "image-003.jpg", "result": "2167361334"},
{"name": "image-004.jpg", "result": "2167361334"},
{"name": "image-005.jpg", "result": "2167361334"}
];
testSet.forEach(function(sample) {
sample.format = "i2of5";
});
_runTestSet(testSet, config);
});
});
});

@ -1,19 +1,16 @@
import ResultCollector from '../../src/analytics/result_collector';
import ImageDebug from '../../src/common/image_debug';
var canvasMock,
imageSize,
config;
define(['result_collector', 'image_debug'], function(ResultCollector, ImageDebug) {
var canvasMock,
imageSize,
config;
describe("resultCollector", () => {
beforeEach(function() {
imageSize = {x: 320, y: 240};
config = {
capture: true,
capacity: 20,
blacklist: [{code: "3574660239843", format: "ean_13"}],
filter: function() {
filter: function(codeResult) {
return true;
}
};
@ -88,7 +85,7 @@ describe("resultCollector", () => {
});
it("should not add results if filter returns false", function() {
config.filter = () => (false);
config.filter = function(){ return false };
var collector = ResultCollector.create(config);
collector.addResult([], imageSize, {code: "423423443", format: "ean_13"});
@ -103,4 +100,4 @@ describe("resultCollector", () => {
expect(collector.getResults()).to.have.length(1);
});
});
})
});

@ -1,57 +0,0 @@
import ImageDebug from '../common/image_debug';
function contains(codeResult, list) {
if (list) {
return list.some(function (item) {
return Object.keys(item).every(function (key) {
return item[key] === codeResult[key];
});
});
}
return false;
}
function passesFilter(codeResult, filter) {
if (typeof filter === 'function') {
return filter(codeResult);
}
return true;
}
export default {
create: function(config) {
var canvas = document.createElement("canvas"),
ctx = canvas.getContext("2d"),
results = [],
capacity = config.capacity || 20,
capture = config.capture === true;
function matchesConstraints(codeResult) {
return capacity
&& codeResult
&& !contains(codeResult, config.blacklist)
&& passesFilter(codeResult, config.filter);
}
return {
addResult: function(data, imageSize, codeResult) {
var result = {};
if (matchesConstraints(codeResult)) {
capacity--;
result.codeResult = codeResult;
if (capture) {
canvas.width = imageSize.x;
canvas.height = imageSize.y;
ImageDebug.drawImage(data, imageSize, ctx);
result.frame = canvas.toDataURL();
}
results.push(result);
}
},
getResults: function() {
return results;
}
};
}
};

@ -0,0 +1,86 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(function() {
"use strict";
return {
init : function(arr, val) {
var l = arr.length;
while (l--) {
arr[l] = val;
}
},
/**
* Shuffles the content of an array
* @return {Array} the array itself shuffled
*/
shuffle : function(arr) {
var i = arr.length - 1, j, x;
for (i; i >= 0; i--) {
j = Math.floor(Math.random() * i);
x = arr[i];
arr[i] = arr[j];
arr[j] = x;
}
return arr;
},
toPointList : function(arr) {
var i, j, row = [], rows = [];
for ( i = 0; i < arr.length; i++) {
row = [];
for ( j = 0; j < arr[i].length; j++) {
row[j] = arr[i][j];
}
rows[i] = "[" + row.join(",") + "]";
}
return "[" + rows.join(",\r\n") + "]";
},
/**
* returns the elements which's score is bigger than the threshold
* @return {Array} the reduced array
*/
threshold : function(arr, threshold, scoreFunc) {
var i, queue = [];
for ( i = 0; i < arr.length; i++) {
if (scoreFunc.apply(arr, [arr[i]]) >= threshold) {
queue.push(arr[i]);
}
}
return queue;
},
maxIndex : function(arr) {
var i, max = 0;
for ( i = 0; i < arr.length; i++) {
if (arr[i] > arr[max]) {
max = i;
}
}
return max;
},
max : function(arr) {
var i, max = 0;
for ( i = 0; i < arr.length; i++) {
if (arr[i] > max) {
max = arr[i];
}
}
return max;
},
sum: function(arr) {
var length = arr.length,
sum = 0;
while(length--) {
sum += arr[length];
}
return sum;
}
};
});

@ -0,0 +1,305 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define([
"bresenham",
"image_debug",
'code_128_reader',
'ean_reader',
'code_39_reader',
'code_39_vin_reader',
'codabar_reader',
'upc_reader',
'ean_8_reader',
'upc_e_reader',
'i2of5_reader'
], function(
Bresenham,
ImageDebug,
Code128Reader,
EANReader,
Code39Reader,
Code39VINReader,
CodabarReader,
UPCReader,
EAN8Reader,
UPCEReader,
I2of5Reader) {
"use strict";
var readers = {
code_128_reader: Code128Reader,
ean_reader: EANReader,
ean_8_reader: EAN8Reader,
code_39_reader: Code39Reader,
code_39_vin_reader: Code39VINReader,
codabar_reader: CodabarReader,
upc_reader: UPCReader,
upc_e_reader: UPCEReader,
i2of5_reader: I2of5Reader
};
var BarcodeDecoder = {
create : function(config, inputImageWrapper) {
var _canvas = {
ctx : {
frequency : null,
pattern : null,
overlay : null
},
dom : {
frequency : null,
pattern : null,
overlay : null
}
},
_barcodeReaders = [];
initCanvas();
initReaders();
initConfig();
function initCanvas() {
if (typeof document !== 'undefined') {
var $debug = document.querySelector("#debug.detection");
_canvas.dom.frequency = document.querySelector("canvas.frequency");
if (!_canvas.dom.frequency) {
_canvas.dom.frequency = document.createElement("canvas");
_canvas.dom.frequency.className = "frequency";
if($debug) {
$debug.appendChild(_canvas.dom.frequency);
}
}
_canvas.ctx.frequency = _canvas.dom.frequency.getContext("2d");
_canvas.dom.pattern = document.querySelector("canvas.patternBuffer");
if (!_canvas.dom.pattern) {
_canvas.dom.pattern = document.createElement("canvas");
_canvas.dom.pattern.className = "patternBuffer";
if($debug) {
$debug.appendChild(_canvas.dom.pattern);
}
}
_canvas.ctx.pattern = _canvas.dom.pattern.getContext("2d");
_canvas.dom.overlay = document.querySelector("canvas.drawingBuffer");
if (_canvas.dom.overlay) {
_canvas.ctx.overlay = _canvas.dom.overlay.getContext("2d");
}
}
}
function initReaders() {
config.readers.forEach(function(readerConfig) {
var reader,
config = {};
if (typeof readerConfig === 'object') {
reader = readerConfig.format;
config = readerConfig.config;
} else if (typeof readerConfig === 'string') {
reader = readerConfig;
}
_barcodeReaders.push(new readers[reader](config));
});
console.log("Registered Readers: " + _barcodeReaders
.map(function(reader) {return JSON.stringify({format: reader.FORMAT, config: reader.config});})
.join(', '));
}
function initConfig() {
if (typeof document !== 'undefined') {
var i,
vis = [{
node : _canvas.dom.frequency,
prop : config.showFrequency
}, {
node : _canvas.dom.pattern,
prop : config.showPattern
}];
for (i = 0; i < vis.length; i++) {
if (vis[i].prop === true) {
vis[i].node.style.display = "block";
} else {
vis[i].node.style.display = "none";
}
}
}
}
/**
* extend the line on both ends
* @param {Array} line
* @param {Number} angle
*/
function getExtendedLine(line, angle, ext) {
function extendLine(amount) {
var extension = {
y : amount * Math.sin(angle),
x : amount * Math.cos(angle)
};
line[0].y -= extension.y;
line[0].x -= extension.x;
line[1].y += extension.y;
line[1].x += extension.x;
}
// check if inside image
extendLine(ext);
while (ext > 1 && (!inputImageWrapper.inImageWithBorder(line[0], 0) || !inputImageWrapper.inImageWithBorder(line[1], 0))) {
ext -= Math.ceil(ext/2);
extendLine(-ext);
}
return line;
}
function getLine(box) {
return [{
x : (box[1][0] - box[0][0]) / 2 + box[0][0],
y : (box[1][1] - box[0][1]) / 2 + box[0][1]
}, {
x : (box[3][0] - box[2][0]) / 2 + box[2][0],
y : (box[3][1] - box[2][1]) / 2 + box[2][1]
}];
}
function tryDecode(line) {
var result = null,
i,
barcodeLine = Bresenham.getBarcodeLine(inputImageWrapper, line[0], line[1]);
if (config.showFrequency) {
ImageDebug.drawPath(line, {x: 'x', y: 'y'}, _canvas.ctx.overlay, {color: 'red', lineWidth: 3});
Bresenham.debug.printFrequency(barcodeLine.line, _canvas.dom.frequency);
}
Bresenham.toBinaryLine(barcodeLine);
if (config.showPattern) {
Bresenham.debug.printPattern(barcodeLine.line, _canvas.dom.pattern);
}
for ( i = 0; i < _barcodeReaders.length && result === null; i++) {
result = _barcodeReaders[i].decodePattern(barcodeLine.line);
}
if(result === null){
return null;
}
return {
codeResult: result,
barcodeLine: barcodeLine
};
}
/**
* This method slices the given area apart and tries to detect a barcode-pattern
* for each slice. It returns the decoded barcode, or null if nothing was found
* @param {Array} box
* @param {Array} line
* @param {Number} lineAngle
*/
function tryDecodeBruteForce(box, line, lineAngle) {
var sideLength = Math.sqrt(Math.pow(box[1][0] - box[0][0], 2) + Math.pow((box[1][1] - box[0][1]), 2)),
i,
slices = 16,
result = null,
dir,
extension,
xdir = Math.sin(lineAngle),
ydir = Math.cos(lineAngle);
for ( i = 1; i < slices && result === null; i++) {
// move line perpendicular to angle
dir = sideLength / slices * i * (i % 2 === 0 ? -1 : 1);
extension = {
y : dir * xdir,
x : dir * ydir
};
line[0].y += extension.x;
line[0].x -= extension.y;
line[1].y += extension.x;
line[1].x -= extension.y;
result = tryDecode(line);
}
return result;
}
function getLineLength(line) {
return Math.sqrt(
Math.pow(Math.abs(line[1].y - line[0].y), 2) +
Math.pow(Math.abs(line[1].x - line[0].x), 2));
}
/**
* With the help of the configured readers (Code128 or EAN) this function tries to detect a
* valid barcode pattern within the given area.
* @param {Object} box The area to search in
* @returns {Object} the result {codeResult, line, angle, pattern, threshold}
*/
function decodeFromBoundingBox(box) {
var line,
lineAngle,
ctx = _canvas.ctx.overlay,
result,
lineLength;
if (config.drawBoundingBox && ctx) {
ImageDebug.drawPath(box, {x: 0, y: 1}, ctx, {color: "blue", lineWidth: 2});
}
line = getLine(box);
lineLength = getLineLength(line);
lineAngle = Math.atan2(line[1].y - line[0].y, line[1].x - line[0].x);
line = getExtendedLine(line, lineAngle, Math.floor(lineLength*0.1));
if(line === null){
return null;
}
result = tryDecode(line);
if(result === null) {
result = tryDecodeBruteForce(box, line, lineAngle);
}
if(result === null) {
return null;
}
if (result && config.drawScanline && ctx) {
ImageDebug.drawPath(line, {x: 'x', y: 'y'}, ctx, {color: 'red', lineWidth: 3});
}
return {
codeResult : result.codeResult,
line : line,
angle : lineAngle,
pattern : result.barcodeLine.line,
threshold : result.barcodeLine.threshold
};
}
return {
decodeFromBoundingBox : function(box) {
return decodeFromBoundingBox(box);
},
decodeFromBoundingBoxes : function(boxes) {
var i, result;
for ( i = 0; i < boxes.length; i++) {
result = decodeFromBoundingBox(boxes[i]);
if (result && result.codeResult) {
result.box = boxes[i];
return result;
}
}
},
setReaders: function(readers) {
config.readers = readers;
_barcodeReaders.length = 0;
initReaders();
}
};
}
};
return (BarcodeDecoder);
});

@ -0,0 +1,560 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define, mat2, vec2 */
define("barcode_locator", ["image_wrapper", "cv_utils", "rasterizer", "tracer", "skeletonizer", "array_helper", "image_debug"],
function(ImageWrapper, CVUtils, Rasterizer, Tracer, skeletonizer, ArrayHelper, ImageDebug) {
var _config,
_currentImageWrapper,
_skelImageWrapper,
_subImageWrapper,
_labelImageWrapper,
_patchGrid,
_patchLabelGrid,
_imageToPatchGrid,
_binaryImageWrapper,
_patchSize,
_canvasContainer = {
ctx : {
binary : null
},
dom : {
binary : null
}
},
_numPatches = {x: 0, y: 0},
_inputImageWrapper,
_skeletonizer,
self = this;
function initBuffers() {
var skeletonImageData;
if (_config.halfSample) {
_currentImageWrapper = new ImageWrapper({
x : _inputImageWrapper.size.x / 2 | 0,
y : _inputImageWrapper.size.y / 2 | 0
});
} else {
_currentImageWrapper = _inputImageWrapper;
}
_patchSize = CVUtils.calculatePatchSize(_config.patchSize, _currentImageWrapper.size);
_numPatches.x = _currentImageWrapper.size.x / _patchSize.x | 0;
_numPatches.y = _currentImageWrapper.size.y / _patchSize.y | 0;
_binaryImageWrapper = new ImageWrapper(_currentImageWrapper.size, undefined, Uint8Array, false);
_labelImageWrapper = new ImageWrapper(_patchSize, undefined, Array, true);
skeletonImageData = new ArrayBuffer(64*1024);
_subImageWrapper = new ImageWrapper(_patchSize, new Uint8Array(skeletonImageData, 0, _patchSize.x * _patchSize.y));
_skelImageWrapper = new ImageWrapper(_patchSize, new Uint8Array(skeletonImageData, _patchSize.x * _patchSize.y * 3, _patchSize.x * _patchSize.y), undefined, true);
_skeletonizer = skeletonizer(self, {
size : _patchSize.x
}, skeletonImageData);
_imageToPatchGrid = new ImageWrapper({
x : (_currentImageWrapper.size.x / _subImageWrapper.size.x) | 0,
y : (_currentImageWrapper.size.y / _subImageWrapper.size.y) | 0
}, undefined, Array, true);
_patchGrid = new ImageWrapper(_imageToPatchGrid.size, undefined, undefined, true);
_patchLabelGrid = new ImageWrapper(_imageToPatchGrid.size, undefined, Int32Array, true);
}
function initCanvas() {
if (_config.useWorker || typeof document === 'undefined') {
return;
}
_canvasContainer.dom.binary = document.createElement("canvas");
_canvasContainer.dom.binary.className = "binaryBuffer";
if (_config.showCanvas === true) {
document.querySelector("#debug").appendChild(_canvasContainer.dom.binary);
}
_canvasContainer.ctx.binary = _canvasContainer.dom.binary.getContext("2d");
_canvasContainer.dom.binary.width = _binaryImageWrapper.size.x;
_canvasContainer.dom.binary.height = _binaryImageWrapper.size.y;
}
/**
* Creates a bounding box which encloses all the given patches
* @returns {Array} The minimal bounding box
*/
function boxFromPatches(patches) {
var overAvg, i, j, patch, transMat, minx = _binaryImageWrapper.size.x, miny = _binaryImageWrapper.size.y, maxx = -_binaryImageWrapper.size.x, maxy = -_binaryImageWrapper.size.y, box, scale;
// draw all patches which are to be taken into consideration
overAvg = 0;
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
overAvg += patch.rad;
if (_config.showPatches) {
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary, {color: "red"});
}
}
overAvg /= patches.length;
overAvg = (overAvg * 180 / Math.PI + 90) % 180 - 90;
if (overAvg < 0) {
overAvg += 180;
}
//console.log(overAvg);
overAvg = (180 - overAvg) * Math.PI / 180;
transMat = mat2.create([Math.cos(overAvg), -Math.sin(overAvg), Math.sin(overAvg), Math.cos(overAvg)]);
// iterate over patches and rotate by angle
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
for ( j = 0; j < 4; j++) {
mat2.xVec2(transMat, patch.box[j]);
}
if (_config.boxFromPatches.showTransformed) {
ImageDebug.drawPath(patch.box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#99ff00', lineWidth: 2});
}
}
// find bounding box
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
for ( j = 0; j < 4; j++) {
if (patch.box[j][0] < minx) {
minx = patch.box[j][0];
}
if (patch.box[j][0] > maxx) {
maxx = patch.box[j][0];
}
if (patch.box[j][1] < miny) {
miny = patch.box[j][1];
}
if (patch.box[j][1] > maxy) {
maxy = patch.box[j][1];
}
}
}
box = [[minx, miny], [maxx, miny], [maxx, maxy], [minx, maxy]];
if (_config.boxFromPatches.showTransformedBox) {
ImageDebug.drawPath(box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#ff0000', lineWidth: 2});
}
scale = _config.halfSample ? 2 : 1;
// reverse rotation;
transMat = mat2.inverse(transMat);
for ( j = 0; j < 4; j++) {
mat2.xVec2(transMat, box[j]);
}
if (_config.boxFromPatches.showBB) {
ImageDebug.drawPath(box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#ff0000', lineWidth: 2});
}
for ( j = 0; j < 4; j++) {
vec2.scale(box[j], scale);
}
return box;
}
/**
* Creates a binary image of the current image
*/
function binarizeImage() {
CVUtils.otsuThreshold(_currentImageWrapper, _binaryImageWrapper);
_binaryImageWrapper.zeroBorder();
if (_config.showCanvas) {
_binaryImageWrapper.show(_canvasContainer.dom.binary, 255);
}
}
/**
* Iterate over the entire image
* extract patches
*/
function findPatches() {
var i,
j,
x,
y,
moments,
patchesFound = [],
rasterizer,
rasterResult,
patch;
for ( i = 0; i < _numPatches.x; i++) {
for ( j = 0; j < _numPatches.y; j++) {
x = _subImageWrapper.size.x * i;
y = _subImageWrapper.size.y * j;
// seperate parts
skeletonize(x, y);
// Rasterize, find individual bars
_skelImageWrapper.zeroBorder();
ArrayHelper.init(_labelImageWrapper.data, 0);
rasterizer = Rasterizer.create(_skelImageWrapper, _labelImageWrapper);
rasterResult = rasterizer.rasterize(0);
if (_config.showLabels) {
_labelImageWrapper.overlay(_canvasContainer.dom.binary, Math.floor(360 / rasterResult.count), {x : x, y : y});
}
// calculate moments from the skeletonized patch
moments = _labelImageWrapper.moments(rasterResult.count);
// extract eligible patches
patchesFound = patchesFound.concat(describePatch(moments, [i, j], x, y));
}
}
if (_config.showFoundPatches) {
for ( i = 0; i < patchesFound.length; i++) {
patch = patchesFound[i];
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary, {color: "#99ff00", lineWidth: 2});
}
}
return patchesFound;
}
/**
* Finds those connected areas which contain at least 6 patches
* and returns them ordered DESC by the number of contained patches
* @param {Number} maxLabel
*/
function findBiggestConnectedAreas(maxLabel){
var i,
sum,
labelHist = [],
topLabels = [];
for ( i = 0; i < maxLabel; i++) {
labelHist.push(0);
}
sum = _patchLabelGrid.data.length;
while (sum--) {
if (_patchLabelGrid.data[sum] > 0) {
labelHist[_patchLabelGrid.data[sum] - 1]++;
}
}
labelHist = labelHist.map(function(val, idx) {
return {
val : val,
label : idx + 1
};
});
labelHist.sort(function(a, b) {
return b.val - a.val;
});
// extract top areas with at least 6 patches present
topLabels = labelHist.filter(function(el) {
return el.val >= 5;
});
return topLabels;
}
/**
*
*/
function findBoxes(topLabels, maxLabel) {
var i,
j,
sum,
patches = [],
patch,
box,
boxes = [],
hsv = [0, 1, 1],
rgb = [0, 0, 0];
for ( i = 0; i < topLabels.length; i++) {
sum = _patchLabelGrid.data.length;
patches.length = 0;
while (sum--) {
if (_patchLabelGrid.data[sum] === topLabels[i].label) {
patch = _imageToPatchGrid.data[sum];
patches.push(patch);
}
}
box = boxFromPatches(patches);
if (box) {
boxes.push(box);
// draw patch-labels if requested
if (_config.showRemainingPatchLabels) {
for ( j = 0; j < patches.length; j++) {
patch = patches[j];
hsv[0] = (topLabels[i].label / (maxLabel + 1)) * 360;
CVUtils.hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary, {color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
}
}
}
return boxes;
}
/**
* Find similar moments (via cluster)
* @param {Object} moments
*/
function similarMoments(moments) {
var clusters = CVUtils.cluster(moments, 0.90);
var topCluster = CVUtils.topGeneric(clusters, 1, function(e) {
return e.getPoints().length;
});
var points = [], result = [];
if (topCluster.length === 1) {
points = topCluster[0].item.getPoints();
for (var i = 0; i < points.length; i++) {
result.push(points[i].point);
}
}
return result;
}
function skeletonize(x, y) {
_binaryImageWrapper.subImageAsCopy(_subImageWrapper, CVUtils.imageRef(x, y));
_skeletonizer.skeletonize();
// Show skeleton if requested
if (_config.showSkeleton) {
_skelImageWrapper.overlay(_canvasContainer.dom.binary, 360, CVUtils.imageRef(x, y));
}
}
/**
* Extracts and describes those patches which seem to contain a barcode pattern
* @param {Array} moments
* @param {Object} patchPos,
* @param {Number} x
* @param {Number} y
* @returns {Array} list of patches
*/
function describePatch(moments, patchPos, x, y) {
var k,
avg,
sum = 0,
eligibleMoments = [],
matchingMoments,
patch,
patchesFound = [],
minComponentWeight = Math.ceil(_patchSize.x/3);
if (moments.length >= 2) {
// only collect moments which's area covers at least minComponentWeight pixels.
for ( k = 0; k < moments.length; k++) {
if (moments[k].m00 > minComponentWeight) {
eligibleMoments.push(moments[k]);
}
}
// if at least 2 moments are found which have at least minComponentWeights covered
if (eligibleMoments.length >= 2) {
sum = eligibleMoments.length;
matchingMoments = similarMoments(eligibleMoments);
avg = 0;
// determine the similarity of the moments
for ( k = 0; k < matchingMoments.length; k++) {
avg += matchingMoments[k].rad;
}
// Only two of the moments are allowed not to fit into the equation
// add the patch to the set
if (matchingMoments.length > 1 && matchingMoments.length >= (eligibleMoments.length / 4) * 3 && matchingMoments.length > moments.length / 4) {
avg /= matchingMoments.length;
patch = {
index : patchPos[1] * _numPatches.x + patchPos[0],
pos : {
x : x,
y : y
},
box : [vec2.create([x, y]), vec2.create([x + _subImageWrapper.size.x, y]), vec2.create([x + _subImageWrapper.size.x, y + _subImageWrapper.size.y]), vec2.create([x, y + _subImageWrapper.size.y])],
moments : matchingMoments,
rad : avg,
vec : vec2.create([Math.cos(avg), Math.sin(avg)])
};
patchesFound.push(patch);
}
}
}
return patchesFound;
}
/**
* finds patches which are connected and share the same orientation
* @param {Object} patchesFound
*/
function rasterizeAngularSimilarity(patchesFound) {
var label = 0,
threshold = 0.95,
currIdx = 0,
j,
patch,
hsv = [0, 1, 1],
rgb = [0, 0, 0];
function notYetProcessed() {
var i;
for ( i = 0; i < _patchLabelGrid.data.length; i++) {
if (_patchLabelGrid.data[i] === 0 && _patchGrid.data[i] === 1) {
return i;
}
}
return _patchLabelGrid.length;
}
function trace(currentIdx) {
var x, y, currentPatch, patch, idx, dir, current = {
x : currentIdx % _patchLabelGrid.size.x,
y : (currentIdx / _patchLabelGrid.size.x) | 0
}, similarity;
if (currentIdx < _patchLabelGrid.data.length) {
currentPatch = _imageToPatchGrid.data[currentIdx];
// assign label
_patchLabelGrid.data[currentIdx] = label;
for ( dir = 0; dir < Tracer.searchDirections.length; dir++) {
y = current.y + Tracer.searchDirections[dir][0];
x = current.x + Tracer.searchDirections[dir][1];
idx = y * _patchLabelGrid.size.x + x;
// continue if patch empty
if (_patchGrid.data[idx] === 0) {
_patchLabelGrid.data[idx] = Number.MAX_VALUE;
continue;
}
patch = _imageToPatchGrid.data[idx];
if (_patchLabelGrid.data[idx] === 0) {
similarity = Math.abs(vec2.dot(patch.vec, currentPatch.vec));
if (similarity > threshold) {
trace(idx);
}
}
}
}
}
// prepare for finding the right patches
ArrayHelper.init(_patchGrid.data, 0);
ArrayHelper.init(_patchLabelGrid.data, 0);
ArrayHelper.init(_imageToPatchGrid.data, null);
for ( j = 0; j < patchesFound.length; j++) {
patch = patchesFound[j];
_imageToPatchGrid.data[patch.index] = patch;
_patchGrid.data[patch.index] = 1;
}
// rasterize the patches found to determine area
_patchGrid.zeroBorder();
while (( currIdx = notYetProcessed()) < _patchLabelGrid.data.length) {
label++;
trace(currIdx);
}
// draw patch-labels if requested
if (_config.showPatchLabels) {
for ( j = 0; j < _patchLabelGrid.data.length; j++) {
if (_patchLabelGrid.data[j] > 0 && _patchLabelGrid.data[j] <= label) {
patch = _imageToPatchGrid.data[j];
hsv[0] = (_patchLabelGrid.data[j] / (label + 1)) * 360;
CVUtils.hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary, {color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
}
}
return label;
}
return {
init : function(inputImageWrapper, config) {
_config = config;
_inputImageWrapper = inputImageWrapper;
initBuffers();
initCanvas();
},
locate : function() {
var patchesFound,
topLabels,
boxes;
if (_config.halfSample) {
CVUtils.halfSample(_inputImageWrapper, _currentImageWrapper);
}
binarizeImage();
patchesFound = findPatches();
// return unless 5% or more patches are found
if (patchesFound.length < _numPatches.x * _numPatches.y * 0.05) {
return null;
}
// rasterrize area by comparing angular similarity;
var maxLabel = rasterizeAngularSimilarity(patchesFound);
if (maxLabel < 1) {
return null;
}
// search for area with the most patches (biggest connected area)
topLabels = findBiggestConnectedAreas(maxLabel);
if (topLabels.length === 0) {
return null;
}
boxes = findBoxes(topLabels, maxLabel);
return boxes;
},
checkImageConstraints: function(inputStream, config) {
var patchSize,
width = inputStream.getWidth(),
height = inputStream.getHeight(),
halfSample = config.halfSample ? 0.5 : 1,
size,
area;
// calculate width and height based on area
if (inputStream.getConfig().area) {
area = CVUtils.computeImageArea(width, height, inputStream.getConfig().area);
inputStream.setTopRight({x: area.sx, y: area.sy});
inputStream.setCanvasSize({x: width, y: height});
width = area.sw;
height = area.sh;
}
size = {
x: Math.floor(width * halfSample),
y: Math.floor(height * halfSample)
};
patchSize = CVUtils.calculatePatchSize(config.patchSize, size);
console.log("Patch-Size: " + JSON.stringify(patchSize));
inputStream.setWidth(Math.floor(Math.floor(size.x/patchSize.x)*(1/halfSample)*patchSize.x));
inputStream.setHeight(Math.floor(Math.floor(size.y/patchSize.y)*(1/halfSample)*patchSize.y));
if ((inputStream.getWidth() % patchSize.x) === 0 && (inputStream.getHeight() % patchSize.y) === 0) {
return true;
}
throw new Error("Image dimensions do not comply with the current settings: Width (" +
width + " )and height (" + height +
") must a multiple of " + patchSize.x);
}
};
});

@ -0,0 +1,231 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
function() {
"use strict";
function BarcodeReader(config) {
this._row = [];
this.config = config || {};
return this;
}
BarcodeReader.prototype._nextUnset = function(line, start) {
var i;
if (start === undefined) {
start = 0;
}
for (i = start; i < line.length; i++) {
if (!line[i]) {
return i;
}
}
return line.length;
};
BarcodeReader.prototype._matchPattern = function(counter, code) {
var i,
error = 0,
singleError = 0,
modulo = this.MODULO,
maxSingleError = this.SINGLE_CODE_ERROR || 1;
for (i = 0; i < counter.length; i++) {
singleError = Math.abs(code[i] - counter[i]);
if (singleError > maxSingleError) {
return Number.MAX_VALUE;
}
error += singleError;
}
return error/modulo;
};
BarcodeReader.prototype._nextSet = function(line, offset) {
var i;
offset = offset || 0;
for (i = offset; i < line.length; i++) {
if (line[i]) {
return i;
}
}
return line.length;
};
BarcodeReader.prototype._normalize = function(counter, modulo) {
var i,
self = this,
sum = 0,
ratio,
numOnes = 0,
normalized = [],
norm = 0;
if (!modulo) {
modulo = self.MODULO;
}
for (i = 0; i < counter.length; i++) {
if (counter[i] === 1) {
numOnes++;
} else {
sum += counter[i];
}
}
ratio = sum / (modulo - numOnes);
if (ratio > 1.0) {
for (i = 0; i < counter.length; i++) {
norm = counter[i] === 1 ? counter[i] : counter[i] / ratio;
normalized.push(norm);
}
} else {
ratio = (sum + numOnes)/modulo;
for (i = 0; i < counter.length; i++) {
norm = counter[i] / ratio;
normalized.push(norm);
}
}
return normalized;
};
BarcodeReader.prototype._matchTrace = function(cmpCounter, epsilon) {
var counter = [],
i,
self = this,
offset = self._nextSet(self._row),
isWhite = !self._row[offset],
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : 0
},
error;
if (cmpCounter) {
for ( i = 0; i < cmpCounter.length; i++) {
counter.push(0);
}
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
error = self._matchPattern(counter, cmpCounter);
if (error < epsilon) {
bestMatch.start = i - offset;
bestMatch.end = i;
bestMatch.counter = counter;
return bestMatch;
} else {
return null;
}
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
} else {
counter.push(0);
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
counterPos++;
counter.push(0);
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
}
// if cmpCounter was not given
bestMatch.start = offset;
bestMatch.end = self._row.length - 1;
bestMatch.counter = counter;
return bestMatch;
};
BarcodeReader.prototype.decodePattern = function(pattern) {
var self = this,
result;
self._row = pattern;
result = self._decode();
if (result === null) {
self._row.reverse();
result = self._decode();
if (result) {
result.direction = BarcodeReader.DIRECTION.REVERSE;
result.start = self._row.length - result.start;
result.end = self._row.length - result.end;
}
} else {
result.direction = BarcodeReader.DIRECTION.FORWARD;
}
if (result) {
result.format = self.FORMAT;
}
return result;
};
BarcodeReader.prototype._matchRange = function(start, end, value) {
var i;
start = start < 0 ? 0 : start;
for (i = start; i < end; i++) {
if (this._row[i] !== value) {
return false;
}
}
return true;
};
BarcodeReader.prototype._fillCounters = function(offset, end, isWhite) {
var self = this,
counterPos = 0,
i,
counters = [];
isWhite = (typeof isWhite !== 'undefined') ? isWhite : true;
offset = (typeof offset !== 'undefined') ? offset : self._nextUnset(self._row);
end = end || self._row.length;
counters[counterPos] = 0;
for (i = offset; i < end; i++) {
if (self._row[i] ^ isWhite) {
counters[counterPos]++;
} else {
counterPos++;
counters[counterPos] = 1;
isWhite = !isWhite;
}
}
return counters;
};
Object.defineProperty(BarcodeReader.prototype, "FORMAT", {
value: 'unknown',
writeable: false
});
BarcodeReader.DIRECTION = {
FORWARD : 1,
REVERSE : -1
};
BarcodeReader.Exception = {
StartNotFoundException : "Start-Info was not found!",
CodeNotFoundException : "Code could not be found!",
PatternNotFoundException : "Pattern could not be found!"
};
BarcodeReader.CONFIG_KEYS = {};
return (BarcodeReader);
}
);

@ -0,0 +1,217 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(["cv_utils", "image_wrapper"], function(CVUtils, ImageWrapper) {
"use strict";
var Bresenham = {};
var Slope = {
DIR : {
UP : 1,
DOWN : -1
}
};
/**
* Scans a line of the given image from point p1 to p2 and returns a result object containing
* gray-scale values (0-255) of the underlying pixels in addition to the min
* and max values.
* @param {Object} imageWrapper
* @param {Object} p1 The start point {x,y}
* @param {Object} p2 The end point {x,y}
* @returns {line, min, max}
*/
Bresenham.getBarcodeLine = function(imageWrapper, p1, p2) {
var x0 = p1.x | 0,
y0 = p1.y | 0,
x1 = p2.x | 0,
y1 = p2.y | 0,
steep = Math.abs(y1 - y0) > Math.abs(x1 - x0),
deltax,
deltay,
error,
ystep,
y,
tmp,
x,
line = [],
imageData = imageWrapper.data,
width = imageWrapper.size.x,
sum = 0,
val,
min = 255,
max = 0;
function read(a, b) {
val = imageData[b * width + a];
sum += val;
min = val < min ? val : min;
max = val > max ? val : max;
line.push(val);
}
if (steep) {
tmp = x0;
x0 = y0;
y0 = tmp;
tmp = x1;
x1 = y1;
y1 = tmp;
}
if (x0 > x1) {
tmp = x0;
x0 = x1;
x1 = tmp;
tmp = y0;
y0 = y1;
y1 = tmp;
}
deltax = x1 - x0;
deltay = Math.abs(y1 - y0);
error = (deltax / 2) | 0;
y = y0;
ystep = y0 < y1 ? 1 : -1;
for ( x = x0; x < x1; x++) {
if(steep){
read(y, x);
} else {
read(x, y);
}
error = error - deltay;
if (error < 0) {
y = y + ystep;
error = error + deltax;
}
}
return {
line : line,
min : min,
max : max
};
};
Bresenham.toOtsuBinaryLine = function(result) {
var line = result.line,
image = new ImageWrapper({x: line.length - 1, y: 1}, line),
threshold = CVUtils.determineOtsuThreshold(image, 5);
line = CVUtils.sharpenLine(line);
CVUtils.thresholdImage(image, threshold);
return {
line: line,
threshold: threshold
};
};
/**
* Converts the result from getBarcodeLine into a binary representation
* also considering the frequency and slope of the signal for more robust results
* @param {Object} result {line, min, max}
*/
Bresenham.toBinaryLine = function(result) {
var min = result.min,
max = result.max,
line = result.line,
slope,
slope2,
center = min + (max - min) / 2,
extrema = [],
currentDir,
dir,
threshold = (max - min) / 12,
rThreshold = -threshold,
i,
j;
// 1. find extrema
currentDir = line[0] > center ? Slope.DIR.UP : Slope.DIR.DOWN;
extrema.push({
pos : 0,
val : line[0]
});
for ( i = 0; i < line.length - 2; i++) {
slope = (line[i + 1] - line[i]);
slope2 = (line[i + 2] - line[i + 1]);
if ((slope + slope2) < rThreshold && line[i + 1] < (center*1.5)) {
dir = Slope.DIR.DOWN;
} else if ((slope + slope2) > threshold && line[i + 1] > (center*0.5)) {
dir = Slope.DIR.UP;
} else {
dir = currentDir;
}
if (currentDir !== dir) {
extrema.push({
pos : i,
val : line[i]
});
currentDir = dir;
}
}
extrema.push({
pos : line.length,
val : line[line.length - 1]
});
for ( j = extrema[0].pos; j < extrema[1].pos; j++) {
line[j] = line[j] > center ? 0 : 1;
}
// iterate over extrema and convert to binary based on avg between minmax
for ( i = 1; i < extrema.length - 1; i++) {
if (extrema[i + 1].val > extrema[i].val) {
threshold = (extrema[i].val + ((extrema[i + 1].val - extrema[i].val) / 3) * 2) | 0;
} else {
threshold = (extrema[i + 1].val + ((extrema[i].val - extrema[i + 1].val) / 3)) | 0;
}
for ( j = extrema[i].pos; j < extrema[i + 1].pos; j++) {
line[j] = line[j] > threshold ? 0 : 1;
}
}
return {
line : line,
threshold : threshold
};
};
/**
* Used for development only
*/
Bresenham.debug = {
printFrequency: function(line, canvas) {
var i,
ctx = canvas.getContext("2d");
canvas.width = line.length;
canvas.height = 256;
ctx.beginPath();
ctx.strokeStyle = "blue";
for ( i = 0; i < line.length; i++) {
ctx.moveTo(i, 255);
ctx.lineTo(i, 255 - line[i]);
}
ctx.stroke();
ctx.closePath();
},
printPattern: function(line, canvas) {
var ctx = canvas.getContext("2d"), i;
canvas.width = line.length;
ctx.fillColor = "black";
for ( i = 0; i < line.length; i++) {
if (line[i] === 1) {
ctx.fillRect(i, 0, 1, 100);
}
}
}
};
return (Bresenham);
});

@ -0,0 +1,143 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define, MediaStreamTrack */
define(["html_utils"], function(HtmlUtils) {
"use strict";
var streamRef,
loadedDataHandler;
/**
* Wraps browser-specific getUserMedia
* @param {Object} constraints
* @param {Object} success Callback
* @param {Object} failure Callback
*/
function getUserMedia(constraints, success, failure) {
if (typeof navigator.getUserMedia !== 'undefined') {
navigator.getUserMedia(constraints, function (stream) {
streamRef = stream;
var videoSrc = (window.URL && window.URL.createObjectURL(stream)) || stream;
success.apply(null, [videoSrc]);
}, failure);
} else {
failure(new TypeError("getUserMedia not available"));
}
}
function loadedData(video, callback) {
var attempts = 10;
function checkVideo() {
if (attempts > 0) {
if (video.videoWidth > 0 && video.videoHeight > 0) {
console.log(video.videoWidth + "px x " + video.videoHeight + "px");
callback();
} else {
window.setTimeout(checkVideo, 500);
}
} else {
callback('Unable to play video stream. Is webcam working?');
}
attempts--;
}
checkVideo();
}
/**
* Tries to attach the camera-stream to a given video-element
* and calls the callback function when the content is ready
* @param {Object} constraints
* @param {Object} video
* @param {Object} callback
*/
function initCamera(constraints, video, callback) {
getUserMedia(constraints, function(src) {
video.src = src;
if (loadedDataHandler) {
video.removeEventListener("loadeddata", loadedDataHandler, false);
}
loadedDataHandler = loadedData.bind(null, video, callback);
video.addEventListener('loadeddata', loadedDataHandler, false);
video.play();
}, function(e) {
callback(e);
});
}
/**
* Normalizes the incoming constraints to satisfy the current browser
* @param config
* @param cb Callback which is called whenever constraints are created
* @returns {*}
*/
function normalizeConstraints(config, cb) {
var constraints = {
audio: false,
video: true
},
videoConstraints = HtmlUtils.mergeObjects({
width: 640,
height: 480,
minAspectRatio: 0,
maxAspectRatio: 100,
facing: "environment"
}, config);
if ( typeof MediaStreamTrack !== 'undefined' && typeof MediaStreamTrack.getSources !== 'undefined') {
MediaStreamTrack.getSources(function(sourceInfos) {
var videoSourceId;
for (var i = 0; i != sourceInfos.length; ++i) {
var sourceInfo = sourceInfos[i];
if (sourceInfo.kind == "video" && sourceInfo.facing == videoConstraints.facing) {
videoSourceId = sourceInfo.id;
}
}
constraints.video = {
mandatory: {
minWidth: videoConstraints.width,
minHeight: videoConstraints.height,
minAspectRatio: videoConstraints.minAspectRatio,
maxAspectRatio: videoConstraints.maxAspectRatio
},
optional: [{
sourceId: videoSourceId
}]
};
return cb(constraints);
});
} else {
constraints.video = {
mediaSource: "camera",
width: { min: videoConstraints.width, max: videoConstraints.width },
height: { min: videoConstraints.height, max: videoConstraints.height },
require: ["width", "height"]
};
return cb(constraints);
}
}
/**
* Requests the back-facing camera of the user. The callback is called
* whenever the stream is ready to be consumed, or if an error occures.
* @param {Object} video
* @param {Object} callback
*/
function request(video, videoConstraints, callback) {
normalizeConstraints(videoConstraints, function(constraints) {
initCamera(constraints, video, callback);
});
}
return {
request : function(video, constraints, callback) {
request(video, constraints, callback);
},
release : function() {
var tracks = streamRef && streamRef.getVideoTracks();
if (tracks.length) {
tracks[0].stop();
}
streamRef = null;
}
};
});

@ -0,0 +1,71 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define, vec2 */
define(function() {
"use strict";
/**
* Creates a cluster for grouping similar orientations of datapoints
*/
var Cluster = {
create : function(point, threshold) {
var points = [], center = {
rad : 0,
vec : vec2.create([0, 0])
}, pointMap = {};
function init() {
add(point);
updateCenter();
}
function add(point) {
pointMap[point.id] = point;
points.push(point);
}
function updateCenter() {
var i, sum = 0;
for ( i = 0; i < points.length; i++) {
sum += points[i].rad;
}
center.rad = sum / points.length;
center.vec = vec2.create([Math.cos(center.rad), Math.sin(center.rad)]);
}
init();
return {
add : function(point) {
if (!pointMap[point.id]) {
add(point);
updateCenter();
}
},
fits : function(point) {
// check cosine similarity to center-angle
var similarity = Math.abs(vec2.dot(point.point.vec, center.vec));
if (similarity > threshold) {
return true;
}
return false;
},
getPoints : function() {
return points;
},
getCenter : function() {
return center;
}
};
},
createPoint : function(point, id, property) {
return {
rad : point[property],
point : point,
id : id
};
}
};
return (Cluster);
});

@ -0,0 +1,294 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./barcode_reader"
],
function(BarcodeReader) {
"use strict";
function CodabarReader() {
BarcodeReader.call(this);
this._counters = [];
}
var properties = {
ALPHABETH_STRING: {value: "0123456789-$:/.+ABCD"},
ALPHABET: {value: [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 45, 36, 58, 47, 46, 43, 65, 66, 67, 68]},
CHARACTER_ENCODINGS: {value: [0x003, 0x006, 0x009, 0x060, 0x012, 0x042, 0x021, 0x024, 0x030, 0x048, 0x00c, 0x018, 0x045, 0x051, 0x054, 0x015, 0x01A, 0x029, 0x00B, 0x00E]},
START_END: {value: [0x01A, 0x029, 0x00B, 0x00E]},
MIN_ENCODED_CHARS: {value: 4},
MAX_ACCEPTABLE: {value: 2.0},
PADDING: {value: 1.5},
FORMAT: {value: "codabar", writeable: false}
};
CodabarReader.prototype = Object.create(BarcodeReader.prototype, properties);
CodabarReader.prototype.constructor = CodabarReader;
CodabarReader.prototype._decode = function() {
var self = this,
result = [],
start,
decodedChar,
pattern,
nextStart,
end;
this._counters = self._fillCounters();
start = self._findStart();
if (!start) {
return null;
}
nextStart = start.startCounter;
do {
pattern = self._toPattern(nextStart);
if (pattern < 0) {
return null;
}
decodedChar = self._patternToChar(pattern);
if (decodedChar < 0){
return null;
}
result.push(decodedChar);
nextStart += 8;
if (result.length > 1 && self._isStartEnd(pattern)) {
break;
}
} while(nextStart < self._counters.length);
// verify end
if ((result.length - 2) < self.MIN_ENCODED_CHARS || !self._isStartEnd(pattern)) {
return null;
}
// verify end white space
if (!self._verifyWhitespace(start.startCounter, nextStart - 8)){
return null;
}
if (!self._validateResult(result, start.startCounter)){
return null;
}
nextStart = nextStart > self._counters.length ? self._counters.length : nextStart;
end = start.start + self._sumCounters(start.startCounter, nextStart - 8);
return {
code : result.join(""),
start : start.start,
end : end,
startInfo : start,
decodedCodes : result
};
};
CodabarReader.prototype._verifyWhitespace = function(startCounter, endCounter) {
if ((startCounter - 1 <= 0) || this._counters[startCounter-1] >= (this._calculatePatternLength(startCounter) / 2.0)) {
if ((endCounter + 8 >= this._counters.length) || this._counters[endCounter+7] >= (this._calculatePatternLength(endCounter) / 2.0)) {
return true;
}
}
return false;
};
CodabarReader.prototype._calculatePatternLength = function(offset) {
var i,
sum = 0;
for (i = offset; i < offset + 7; i++) {
sum += this._counters[i];
}
return sum;
};
CodabarReader.prototype._thresholdResultPattern = function(result, startCounter){
var self = this,
categorization = {
space: {
narrow: { size: 0, counts: 0, min: 0, max: Number.MAX_VALUE},
wide: {size: 0, counts: 0, min: 0, max: Number.MAX_VALUE}
},
bar: {
narrow: { size: 0, counts: 0, min: 0, max: Number.MAX_VALUE},
wide: { size: 0, counts: 0, min: 0, max: Number.MAX_VALUE}
}
},
kind,
cat,
i,
j,
pos = startCounter,
pattern;
for (i = 0; i < result.length; i++){
pattern = self._charToPattern(result[i]);
for (j = 6; j >= 0; j--) {
kind = (j & 1) === 2 ? categorization.bar : categorization.space;
cat = (pattern & 1) === 1 ? kind.wide : kind.narrow;
cat.size += self._counters[pos + j];
cat.counts++;
pattern >>= 1;
}
pos += 8;
}
["space", "bar"].forEach(function(key) {
var kind = categorization[key];
kind.wide.min = Math.floor((kind.narrow.size/kind.narrow.counts + kind.wide.size / kind.wide.counts) / 2);
kind.narrow.max = Math.ceil(kind.wide.min);
kind.wide.max = Math.ceil((kind.wide.size * self.MAX_ACCEPTABLE + self.PADDING) / kind.wide.counts);
});
return categorization;
};
CodabarReader.prototype._charToPattern = function(char) {
var self = this,
charCode = char.charCodeAt(0),
i;
for (i = 0; i < self.ALPHABET.length; i++) {
if (self.ALPHABET[i] === charCode){
return self.CHARACTER_ENCODINGS[i];
}
}
return 0x0;
};
CodabarReader.prototype._validateResult = function(result, startCounter) {
var self = this,
thresholds = self._thresholdResultPattern(result, startCounter),
i,
j,
kind,
cat,
size,
pos = startCounter,
pattern;
for (i = 0; i < result.length; i++) {
pattern = self._charToPattern(result[i]);
for (j = 6; j >= 0; j--) {
kind = (j & 1) === 0 ? thresholds.bar : thresholds.space;
cat = (pattern & 1) === 1 ? kind.wide : kind.narrow;
size = self._counters[pos + j];
if (size < cat.min || size > cat.max) {
return false;
}
pattern >>= 1;
}
pos += 8;
}
return true;
};
CodabarReader.prototype._patternToChar = function(pattern) {
var i,
self = this;
for (i = 0; i < self.CHARACTER_ENCODINGS.length; i++) {
if (self.CHARACTER_ENCODINGS[i] === pattern) {
return String.fromCharCode(self.ALPHABET[i]);
}
}
return -1;
};
CodabarReader.prototype._computeAlternatingThreshold = function(offset, end) {
var i,
min = Number.MAX_VALUE,
max = 0,
counter;
for (i = offset; i < end; i += 2){
counter = this._counters[i];
if (counter > max) {
max = counter;
}
if (counter < min) {
min = counter;
}
}
return ((min + max) / 2.0) | 0;
};
CodabarReader.prototype._toPattern = function(offset) {
var numCounters = 7,
end = offset + numCounters,
barThreshold,
spaceThreshold,
bitmask = 1 << (numCounters - 1),
pattern = 0,
i,
threshold;
if (end > this._counters.length) {
return -1;
}
barThreshold = this._computeAlternatingThreshold(offset, end);
spaceThreshold = this._computeAlternatingThreshold(offset + 1, end);
for (i = 0; i < numCounters; i++){
threshold = (i & 1) === 0 ? barThreshold : spaceThreshold;
if (this._counters[offset + i] > threshold) {
pattern |= bitmask;
}
bitmask >>= 1;
}
return pattern;
};
CodabarReader.prototype._isStartEnd = function(pattern) {
var i;
for (i = 0; i < this.START_END.length; i++) {
if (this.START_END[i] === pattern) {
return true;
}
}
return false;
};
CodabarReader.prototype._sumCounters = function(start, end) {
var i,
sum = 0;
for (i = start; i < end; i++) {
sum += this._counters[i];
}
return sum;
};
CodabarReader.prototype._findStart = function() {
var self = this,
i,
pattern,
start = self._nextUnset(self._row),
end;
for (i = 1; i < this._counters.length; i++) {
pattern = self._toPattern(i);
if (pattern !== -1 && self._isStartEnd(pattern)) {
// TODO: Look for whitespace ahead
start += self._sumCounters(0, i);
end = start + self._sumCounters(i, i + 8);
return {
start: start,
end: end,
startCounter: i,
endCounter: i + 8
};
}
}
};
return (CodabarReader);
}
);

@ -0,0 +1,423 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./barcode_reader"
],
function(BarcodeReader) {
"use strict";
function Code128Reader() {
BarcodeReader.call(this);
}
var properties = {
CODE_SHIFT : {value: 98},
CODE_C : {value: 99},
CODE_B : {value: 100},
CODE_A : {value: 101},
START_CODE_A : {value: 103},
START_CODE_B : {value: 104},
START_CODE_C : {value: 105},
STOP_CODE : {value: 106},
MODULO : {value: 11},
CODE_PATTERN : {value: [
[2, 1, 2, 2, 2, 2],
[2, 2, 2, 1, 2, 2],
[2, 2, 2, 2, 2, 1],
[1, 2, 1, 2, 2, 3],
[1, 2, 1, 3, 2, 2],
[1, 3, 1, 2, 2, 2],
[1, 2, 2, 2, 1, 3],
[1, 2, 2, 3, 1, 2],
[1, 3, 2, 2, 1, 2],
[2, 2, 1, 2, 1, 3],
[2, 2, 1, 3, 1, 2],
[2, 3, 1, 2, 1, 2],
[1, 1, 2, 2, 3, 2],
[1, 2, 2, 1, 3, 2],
[1, 2, 2, 2, 3, 1],
[1, 1, 3, 2, 2, 2],
[1, 2, 3, 1, 2, 2],
[1, 2, 3, 2, 2, 1],
[2, 2, 3, 2, 1, 1],
[2, 2, 1, 1, 3, 2],
[2, 2, 1, 2, 3, 1],
[2, 1, 3, 2, 1, 2],
[2, 2, 3, 1, 1, 2],
[3, 1, 2, 1, 3, 1],
[3, 1, 1, 2, 2, 2],
[3, 2, 1, 1, 2, 2],
[3, 2, 1, 2, 2, 1],
[3, 1, 2, 2, 1, 2],
[3, 2, 2, 1, 1, 2],
[3, 2, 2, 2, 1, 1],
[2, 1, 2, 1, 2, 3],
[2, 1, 2, 3, 2, 1],
[2, 3, 2, 1, 2, 1],
[1, 1, 1, 3, 2, 3],
[1, 3, 1, 1, 2, 3],
[1, 3, 1, 3, 2, 1],
[1, 1, 2, 3, 1, 3],
[1, 3, 2, 1, 1, 3],
[1, 3, 2, 3, 1, 1],
[2, 1, 1, 3, 1, 3],
[2, 3, 1, 1, 1, 3],
[2, 3, 1, 3, 1, 1],
[1, 1, 2, 1, 3, 3],
[1, 1, 2, 3, 3, 1],
[1, 3, 2, 1, 3, 1],
[1, 1, 3, 1, 2, 3],
[1, 1, 3, 3, 2, 1],
[1, 3, 3, 1, 2, 1],
[3, 1, 3, 1, 2, 1],
[2, 1, 1, 3, 3, 1],
[2, 3, 1, 1, 3, 1],
[2, 1, 3, 1, 1, 3],
[2, 1, 3, 3, 1, 1],
[2, 1, 3, 1, 3, 1],
[3, 1, 1, 1, 2, 3],
[3, 1, 1, 3, 2, 1],
[3, 3, 1, 1, 2, 1],
[3, 1, 2, 1, 1, 3],
[3, 1, 2, 3, 1, 1],
[3, 3, 2, 1, 1, 1],
[3, 1, 4, 1, 1, 1],
[2, 2, 1, 4, 1, 1],
[4, 3, 1, 1, 1, 1],
[1, 1, 1, 2, 2, 4],
[1, 1, 1, 4, 2, 2],
[1, 2, 1, 1, 2, 4],
[1, 2, 1, 4, 2, 1],
[1, 4, 1, 1, 2, 2],
[1, 4, 1, 2, 2, 1],
[1, 1, 2, 2, 1, 4],
[1, 1, 2, 4, 1, 2],
[1, 2, 2, 1, 1, 4],
[1, 2, 2, 4, 1, 1],
[1, 4, 2, 1, 1, 2],
[1, 4, 2, 2, 1, 1],
[2, 4, 1, 2, 1, 1],
[2, 2, 1, 1, 1, 4],
[4, 1, 3, 1, 1, 1],
[2, 4, 1, 1, 1, 2],
[1, 3, 4, 1, 1, 1],
[1, 1, 1, 2, 4, 2],
[1, 2, 1, 1, 4, 2],
[1, 2, 1, 2, 4, 1],
[1, 1, 4, 2, 1, 2],
[1, 2, 4, 1, 1, 2],
[1, 2, 4, 2, 1, 1],
[4, 1, 1, 2, 1, 2],
[4, 2, 1, 1, 1, 2],
[4, 2, 1, 2, 1, 1],
[2, 1, 2, 1, 4, 1],
[2, 1, 4, 1, 2, 1],
[4, 1, 2, 1, 2, 1],
[1, 1, 1, 1, 4, 3],
[1, 1, 1, 3, 4, 1],
[1, 3, 1, 1, 4, 1],
[1, 1, 4, 1, 1, 3],
[1, 1, 4, 3, 1, 1],
[4, 1, 1, 1, 1, 3],
[4, 1, 1, 3, 1, 1],
[1, 1, 3, 1, 4, 1],
[1, 1, 4, 1, 3, 1],
[3, 1, 1, 1, 4, 1],
[4, 1, 1, 1, 3, 1],
[2, 1, 1, 4, 1, 2],
[2, 1, 1, 2, 1, 4],
[2, 1, 1, 2, 3, 2],
[2, 3, 3, 1, 1, 1, 2]
]},
SINGLE_CODE_ERROR: {value: 1},
AVG_CODE_ERROR: {value: 0.5},
FORMAT: {value: "code_128", writeable: false}
};
Code128Reader.prototype = Object.create(BarcodeReader.prototype, properties);
Code128Reader.prototype.constructor = Code128Reader;
Code128Reader.prototype._decodeCode = function(start) {
var counter = [0, 0, 0, 0, 0, 0],
i,
self = this,
offset = start,
isWhite = !self._row[offset],
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : start,
end : start
},
code,
error,
normalized;
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
normalized = self._normalize(counter);
if (normalized) {
for (code = 0; code < self.CODE_PATTERN.length; code++) {
error = self._matchPattern(normalized, self.CODE_PATTERN[code]);
if (error < bestMatch.error) {
bestMatch.code = code;
bestMatch.error = error;
}
}
bestMatch.end = i;
return bestMatch;
}
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
Code128Reader.prototype._findStart = function() {
var counter = [0, 0, 0, 0, 0, 0],
i,
self = this,
offset = self._nextSet(self._row),
isWhite = false,
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : 0,
end : 0
},
code,
error,
j,
sum,
normalized;
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
sum = 0;
for ( j = 0; j < counter.length; j++) {
sum += counter[j];
}
normalized = self._normalize(counter);
if (normalized) {
for (code = self.START_CODE_A; code <= self.START_CODE_C; code++) {
error = self._matchPattern(normalized, self.CODE_PATTERN[code]);
if (error < bestMatch.error) {
bestMatch.code = code;
bestMatch.error = error;
}
}
if (bestMatch.error < self.AVG_CODE_ERROR) {
bestMatch.start = i - sum;
bestMatch.end = i;
return bestMatch;
}
}
for ( j = 0; j < 4; j++) {
counter[j] = counter[j + 2];
}
counter[4] = 0;
counter[5] = 0;
counterPos--;
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
Code128Reader.prototype._decode = function() {
var self = this,
startInfo = self._findStart(),
code = null,
done = false,
result = [],
multiplier = 0,
checksum = 0,
codeset,
rawResult = [],
decodedCodes = [],
shiftNext = false,
unshift,
lastCharacterWasPrintable;
if (startInfo === null) {
return null;
}
code = {
code : startInfo.code,
start : startInfo.start,
end : startInfo.end
};
decodedCodes.push(code);
checksum = code.code;
switch(code.code) {
case self.START_CODE_A:
codeset = self.CODE_A;
break;
case self.START_CODE_B:
codeset = self.CODE_B;
break;
case self.START_CODE_C:
codeset = self.CODE_C;
break;
default:
return null;
}
while (!done) {
unshift = shiftNext;
shiftNext = false;
code = self._decodeCode(code.end);
if (code !== null) {
if (code.code !== self.STOP_CODE) {
rawResult.push(code.code);
multiplier++;
checksum += multiplier * code.code;
}
decodedCodes.push(code);
switch(codeset) {
case self.CODE_A:
if (code.code < 64) {
result.push(String.fromCharCode(32 + code.code));
} else if (code.code < 96) {
result.push(String.fromCharCode(code.code - 64));
} else {
switch (code.code) {
case self.CODE_SHIFT:
shiftNext = true;
codeset = self.CODE_B;
break;
case self.CODE_B:
codeset = self.CODE_B;
break;
case self.CODE_C:
codeset = self.CODE_C;
break;
case self.STOP_CODE:
done = true;
break;
}
}
break;
case self.CODE_B:
if (code.code < 96) {
result.push(String.fromCharCode(32 + code.code));
} else {
if (code.code != self.STOP_CODE) {
lastCharacterWasPrintable = false;
}
switch (code.code) {
case self.CODE_SHIFT:
shiftNext = true;
codeset = self.CODE_A;
break;
case self.CODE_A:
codeset = self.CODE_A;
break;
case self.CODE_C:
codeset = self.CODE_C;
break;
case self.STOP_CODE:
done = true;
break;
}
}
break;
case self.CODE_C:
if (code.code < 100) {
result.push(code.code < 10 ? "0" + code.code : code.code);
}
switch (code.code) {
case self.CODE_A:
codeset = self.CODE_A;
break;
case self.CODE_B:
codeset = self.CODE_B;
break;
case self.STOP_CODE:
done = true;
break;
}
break;
}
} else {
done = true;
}
if (unshift) {
codeset = codeset == self.CODE_A ? self.CODE_B : self.CODE_A;
}
}
if (code === null) {
return null;
}
// find end bar
code.end = self._nextUnset(self._row, code.end);
if(!self._verifyTrailingWhitespace(code)){
return null;
}
// checksum
// Does not work correctly yet!!! startcode - endcode?
checksum -= multiplier * rawResult[rawResult.length - 1];
if (checksum % 103 != rawResult[rawResult.length - 1]) {
return null;
}
if (!result.length) {
return null;
}
// remove last code from result (checksum)
result.splice(result.length - 1, 1);
return {
code : result.join(""),
start : startInfo.start,
end : code.end,
codeset : codeset,
startInfo : startInfo,
decodedCodes : decodedCodes,
endInfo : code
};
};
BarcodeReader.prototype._verifyTrailingWhitespace = function(endInfo) {
var self = this,
trailingWhitespaceEnd;
trailingWhitespaceEnd = endInfo.end + ((endInfo.end - endInfo.start) / 2);
if (trailingWhitespaceEnd < self._row.length) {
if (self._matchRange(endInfo.end, trailingWhitespaceEnd, 0)) {
return endInfo;
}
}
return null;
};
return (Code128Reader);
}
);

@ -0,0 +1,221 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./barcode_reader",
"./array_helper"
],
function(BarcodeReader, ArrayHelper) {
"use strict";
function Code39Reader() {
BarcodeReader.call(this);
}
var properties = {
ALPHABETH_STRING: {value: "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ-. *$/+%"},
ALPHABET: {value: [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 45, 46, 32, 42, 36, 47, 43, 37]},
CHARACTER_ENCODINGS: {value: [0x034, 0x121, 0x061, 0x160, 0x031, 0x130, 0x070, 0x025, 0x124, 0x064, 0x109, 0x049, 0x148, 0x019, 0x118, 0x058, 0x00D, 0x10C, 0x04C, 0x01C, 0x103, 0x043, 0x142, 0x013, 0x112, 0x052, 0x007, 0x106, 0x046, 0x016, 0x181, 0x0C1, 0x1C0, 0x091, 0x190, 0x0D0, 0x085, 0x184, 0x0C4, 0x094, 0x0A8, 0x0A2, 0x08A, 0x02A]},
ASTERISK: {value: 0x094},
FORMAT: {value: "code_39", writeable: false}
};
Code39Reader.prototype = Object.create(BarcodeReader.prototype, properties);
Code39Reader.prototype.constructor = Code39Reader;
Code39Reader.prototype._toCounters = function(start, counter) {
var self = this,
numCounters = counter.length,
end = self._row.length,
isWhite = !self._row[start],
i,
counterPos = 0;
ArrayHelper.init(counter, 0);
for ( i = start; i < end; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
counterPos++;
if (counterPos === numCounters) {
break;
} else {
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
}
return counter;
};
Code39Reader.prototype._decode = function() {
var self = this,
counters = [0,0,0,0,0,0,0,0,0],
result = [],
start = self._findStart(),
decodedChar,
lastStart,
pattern,
nextStart;
if (!start) {
return null;
}
nextStart = self._nextSet(self._row, start.end);
do {
counters = self._toCounters(nextStart, counters);
pattern = self._toPattern(counters);
if (pattern < 0) {
return null;
}
decodedChar = self._patternToChar(pattern);
if (decodedChar < 0){
return null;
}
result.push(decodedChar);
lastStart = nextStart;
nextStart += ArrayHelper.sum(counters);
nextStart = self._nextSet(self._row, nextStart);
} while(decodedChar !== '*');
result.pop();
if (!result.length) {
return null;
}
if(!self._verifyTrailingWhitespace(lastStart, nextStart, counters)) {
return null;
}
return {
code : result.join(""),
start : start.start,
end : nextStart,
startInfo : start,
decodedCodes : result
};
};
Code39Reader.prototype._verifyTrailingWhitespace = function(lastStart, nextStart, counters) {
var trailingWhitespaceEnd,
patternSize = ArrayHelper.sum(counters);
trailingWhitespaceEnd = nextStart - lastStart - patternSize;
if ((trailingWhitespaceEnd * 3) >= patternSize) {
return true;
}
return false;
};
Code39Reader.prototype._patternToChar = function(pattern) {
var i,
self = this;
for (i = 0; i < self.CHARACTER_ENCODINGS.length; i++) {
if (self.CHARACTER_ENCODINGS[i] === pattern) {
return String.fromCharCode(self.ALPHABET[i]);
}
}
};
Code39Reader.prototype._findNextWidth = function(counters, current) {
var i,
minWidth = Number.MAX_VALUE;
for (i = 0; i < counters.length; i++) {
if (counters[i] < minWidth && counters[i] > current) {
minWidth = counters[i];
}
}
return minWidth;
};
Code39Reader.prototype._toPattern = function(counters) {
var numCounters = counters.length,
maxNarrowWidth = 0,
numWideBars = numCounters,
wideBarWidth = 0,
self = this,
pattern,
i;
while(numWideBars > 3) {
maxNarrowWidth = self._findNextWidth(counters, maxNarrowWidth);
numWideBars = 0;
pattern = 0;
for (i = 0; i < numCounters; i++) {
if (counters[i] > maxNarrowWidth) {
pattern |= 1 << (numCounters - 1 - i);
numWideBars++;
wideBarWidth += counters[i];
}
}
if (numWideBars === 3) {
for (i = 0; i < numCounters && numWideBars > 0; i++) {
if (counters[i] > maxNarrowWidth) {
numWideBars--;
if ((counters[i] * 2) >= wideBarWidth) {
return -1;
}
}
}
return pattern;
}
}
return -1;
};
Code39Reader.prototype._findStart = function() {
var self = this,
offset = self._nextSet(self._row),
patternStart = offset,
counter = [0,0,0,0,0,0,0,0,0],
counterPos = 0,
isWhite = false,
i,
j,
whiteSpaceMustStart;
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
// find start pattern
if (self._toPattern(counter) === self.ASTERISK) {
whiteSpaceMustStart = Math.floor(Math.max(0, patternStart - ((i - patternStart) / 4)));
if (self._matchRange(whiteSpaceMustStart, patternStart, 0)) {
return {
start: patternStart,
end: i
};
}
}
patternStart += counter[0] + counter[1];
for ( j = 0; j < 7; j++) {
counter[j] = counter[j + 2];
}
counter[7] = 0;
counter[8] = 0;
counterPos--;
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
return (Code39Reader);
}
);

@ -0,0 +1,59 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./code_39_reader"
],
function(Code39Reader) {
"use strict";
function Code39VINReader() {
Code39Reader.call(this);
}
var patterns = {
IOQ: /[IOQ]/g,
AZ09: /[A-Z0-9]{17}/
};
Code39VINReader.prototype = Object.create(Code39Reader.prototype);
Code39VINReader.prototype.constructor = Code39VINReader;
// Cribbed from:
// https://github.com/zxing/zxing/blob/master/core/src/main/java/com/google/zxing/client/result/VINResultParser.java
Code39VINReader.prototype._decode = function() {
var result = Code39Reader.prototype._decode.apply(this);
if (!result) {
return null;
}
var code = result.code;
if (!code) {
return;
}
code = code.replace(patterns.IOQ, '');
if (!code.match(patterns.AZ09)) {
console.log('Failed AZ09 pattern code:', code);
return null;
}
if (!this._checkChecksum(code)) {
return null;
}
result.code = code;
return result;
};
Code39VINReader.prototype._checkChecksum = function(code) {
// TODO
return !!code;
};
return (Code39VINReader);
}
);

@ -1,79 +0,0 @@
export default {
init: function(arr, val) {
var l = arr.length;
while (l--) {
arr[l] = val;
}
},
/**
* Shuffles the content of an array
* @return {Array} the array itself shuffled
*/
shuffle: function(arr) {
var i = arr.length - 1, j, x;
for (i; i >= 0; i--) {
j = Math.floor(Math.random() * i);
x = arr[i];
arr[i] = arr[j];
arr[j] = x;
}
return arr;
},
toPointList: function(arr) {
var i, j, row = [], rows = [];
for ( i = 0; i < arr.length; i++) {
row = [];
for ( j = 0; j < arr[i].length; j++) {
row[j] = arr[i][j];
}
rows[i] = "[" + row.join(",") + "]";
}
return "[" + rows.join(",\r\n") + "]";
},
/**
* returns the elements which's score is bigger than the threshold
* @return {Array} the reduced array
*/
threshold: function(arr, threshold, scoreFunc) {
var i, queue = [];
for ( i = 0; i < arr.length; i++) {
if (scoreFunc.apply(arr, [arr[i]]) >= threshold) {
queue.push(arr[i]);
}
}
return queue;
},
maxIndex: function(arr) {
var i, max = 0;
for ( i = 0; i < arr.length; i++) {
if (arr[i] > arr[max]) {
max = i;
}
}
return max;
},
max: function(arr) {
var i, max = 0;
for ( i = 0; i < arr.length; i++) {
if (arr[i] > max) {
max = arr[i];
}
}
return max;
},
sum: function(arr) {
var length = arr.length,
sum = 0;
while (length--) {
sum += arr[length];
}
return sum;
}
};

@ -1,68 +0,0 @@
const vec2 = {
clone: require('gl-vec2/clone'),
dot: require('gl-vec2/dot')
}
/**
* Creates a cluster for grouping similar orientations of datapoints
*/
export default {
create: function(point, threshold) {
var points = [],
center = {
rad: 0,
vec: vec2.clone([0, 0])
},
pointMap = {};
function init() {
add(point);
updateCenter();
}
function add(pointToAdd) {
pointMap[pointToAdd.id] = pointToAdd;
points.push(pointToAdd);
}
function updateCenter() {
var i, sum = 0;
for ( i = 0; i < points.length; i++) {
sum += points[i].rad;
}
center.rad = sum / points.length;
center.vec = vec2.clone([Math.cos(center.rad), Math.sin(center.rad)]);
}
init();
return {
add: function(pointToAdd) {
if (!pointMap[pointToAdd.id]) {
add(pointToAdd);
updateCenter();
}
},
fits: function(otherPoint) {
// check cosine similarity to center-angle
var similarity = Math.abs(vec2.dot(otherPoint.point.vec, center.vec));
if (similarity > threshold) {
return true;
}
return false;
},
getPoints: function() {
return points;
},
getCenter: function() {
return center;
}
};
},
createPoint: function(newPoint, id, property) {
return {
rad: newPoint[property],
point: newPoint,
id: id
};
}
};

@ -1,751 +0,0 @@
import Cluster2 from './cluster';
import ArrayHelper from './array_helper';
const vec2 = {
clone: require('gl-vec2/clone'),
};
const vec3 = {
clone: require('gl-vec3/clone'),
};
/**
* @param x x-coordinate
* @param y y-coordinate
* @return ImageReference {x,y} Coordinate
*/
export function imageRef(x, y) {
var that = {
x: x,
y: y,
toVec2: function() {
return vec2.clone([this.x, this.y]);
},
toVec3: function() {
return vec3.clone([this.x, this.y, 1]);
},
round: function() {
this.x = this.x > 0.0 ? Math.floor(this.x + 0.5) : Math.floor(this.x - 0.5);
this.y = this.y > 0.0 ? Math.floor(this.y + 0.5) : Math.floor(this.y - 0.5);
return this;
}
};
return that;
};
/**
* Computes an integral image of a given grayscale image.
* @param imageDataContainer {ImageDataContainer} the image to be integrated
*/
export function computeIntegralImage2(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0, posA = 0, posB = 0, posC = 0, posD = 0, x, y;
// sum up first column
posB = width;
sum = 0;
for ( y = 1; y < height; y++) {
sum += imageData[posA];
integralImageData[posB] += sum;
posA += width;
posB += width;
}
posA = 0;
posB = 1;
sum = 0;
for ( x = 1; x < width; x++) {
sum += imageData[posA];
integralImageData[posB] += sum;
posA++;
posB++;
}
for ( y = 1; y < height; y++) {
posA = y * width + 1;
posB = (y - 1) * width + 1;
posC = y * width;
posD = (y - 1) * width;
for ( x = 1; x < width; x++) {
integralImageData[posA] +=
imageData[posA] + integralImageData[posB] + integralImageData[posC] - integralImageData[posD];
posA++;
posB++;
posC++;
posD++;
}
}
};
export function computeIntegralImage(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0;
// sum up first row
for (var i = 0; i < width; i++) {
sum += imageData[i];
integralImageData[i] = sum;
}
for (var v = 1; v < height; v++) {
sum = 0;
for (var u = 0; u < width; u++) {
sum += imageData[v * width + u];
integralImageData[((v) * width) + u] = sum + integralImageData[(v - 1) * width + u];
}
}
};
export function thresholdImage(imageWrapper, threshold, targetWrapper) {
if (!targetWrapper) {
targetWrapper = imageWrapper;
}
var imageData = imageWrapper.data, length = imageData.length, targetData = targetWrapper.data;
while (length--) {
targetData[length] = imageData[length] < threshold ? 1 : 0;
}
};
export function computeHistogram(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
var imageData = imageWrapper.data,
length = imageData.length,
bitShift = 8 - bitsPerPixel,
bucketCnt = 1 << bitsPerPixel,
hist = new Int32Array(bucketCnt);
while (length--) {
hist[imageData[length] >> bitShift]++;
}
return hist;
};
export function sharpenLine(line) {
var i,
length = line.length,
left = line[0],
center = line[1],
right;
for (i = 1; i < length - 1; i++) {
right = line[i + 1];
// -1 4 -1 kernel
line[i - 1] = (((center * 2) - left - right)) & 255;
left = center;
center = right;
}
return line;
};
export function determineOtsuThreshold(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
var hist,
threshold,
bitShift = 8 - bitsPerPixel;
function px(init, end) {
var sum = 0, i;
for ( i = init; i <= end; i++) {
sum += hist[i];
}
return sum;
}
function mx(init, end) {
var i, sum = 0;
for ( i = init; i <= end; i++) {
sum += i * hist[i];
}
return sum;
}
function determineThreshold() {
var vet = [0], p1, p2, p12, k, m1, m2, m12,
max = (1 << bitsPerPixel) - 1;
hist = computeHistogram(imageWrapper, bitsPerPixel);
for ( k = 1; k < max; k++) {
p1 = px(0, k);
p2 = px(k + 1, max);
p12 = p1 * p2;
if (p12 === 0) {
p12 = 1;
}
m1 = mx(0, k) * p2;
m2 = mx(k + 1, max) * p1;
m12 = m1 - m2;
vet[k] = m12 * m12 / p12;
}
return ArrayHelper.maxIndex(vet);
}
threshold = determineThreshold();
return threshold << bitShift;
};
export function otsuThreshold(imageWrapper, targetWrapper) {
var threshold = determineOtsuThreshold(imageWrapper);
thresholdImage(imageWrapper, threshold, targetWrapper);
return threshold;
};
// local thresholding
export function computeBinaryImage(imageWrapper, integralWrapper, targetWrapper) {
computeIntegralImage(imageWrapper, integralWrapper);
if (!targetWrapper) {
targetWrapper = imageWrapper;
}
var imageData = imageWrapper.data;
var targetData = targetWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0, v, u, kernel = 3, A, B, C, D, avg, size = (kernel * 2 + 1) * (kernel * 2 + 1);
// clear out top & bottom-border
for ( v = 0; v <= kernel; v++) {
for ( u = 0; u < width; u++) {
targetData[((v) * width) + u] = 0;
targetData[(((height - 1) - v) * width) + u] = 0;
}
}
// clear out left & right border
for ( v = kernel; v < height - kernel; v++) {
for ( u = 0; u <= kernel; u++) {
targetData[((v) * width) + u] = 0;
targetData[((v) * width) + (width - 1 - u)] = 0;
}
}
for ( v = kernel + 1; v < height - kernel - 1; v++) {
for ( u = kernel + 1; u < width - kernel; u++) {
A = integralImageData[(v - kernel - 1) * width + (u - kernel - 1)];
B = integralImageData[(v - kernel - 1) * width + (u + kernel)];
C = integralImageData[(v + kernel) * width + (u - kernel - 1)];
D = integralImageData[(v + kernel) * width + (u + kernel)];
sum = D - C - B + A;
avg = sum / (size);
targetData[v * width + u] = imageData[v * width + u] > (avg + 5) ? 0 : 1;
}
}
};
export function cluster(points, threshold, property) {
var i, k, cluster, point, clusters = [];
if (!property) {
property = "rad";
}
function addToCluster(newPoint) {
var found = false;
for ( k = 0; k < clusters.length; k++) {
cluster = clusters[k];
if (cluster.fits(newPoint)) {
cluster.add(newPoint);
found = true;
}
}
return found;
}
// iterate over each cloud
for ( i = 0; i < points.length; i++) {
point = Cluster2.createPoint(points[i], i, property);
if (!addToCluster(point)) {
clusters.push(Cluster2.create(point, threshold));
}
}
return clusters;
};
export const Tracer = {
trace: function(points, vec) {
var iteration, maxIterations = 10, top = [], result = [], centerPos = 0, currentPos = 0;
function trace(idx, forward) {
var from, to, toIdx, predictedPos, thresholdX = 1, thresholdY = Math.abs(vec[1] / 10), found = false;
function match(pos, predicted) {
if (pos.x > (predicted.x - thresholdX)
&& pos.x < (predicted.x + thresholdX)
&& pos.y > (predicted.y - thresholdY)
&& pos.y < (predicted.y + thresholdY)) {
return true;
} else {
return false;
}
}
// check if the next index is within the vec specifications
// if not, check as long as the threshold is met
from = points[idx];
if (forward) {
predictedPos = {
x: from.x + vec[0],
y: from.y + vec[1]
};
} else {
predictedPos = {
x: from.x - vec[0],
y: from.y - vec[1]
};
}
toIdx = forward ? idx + 1 : idx - 1;
to = points[toIdx];
while (to && ( found = match(to, predictedPos)) !== true && (Math.abs(to.y - from.y) < vec[1])) {
toIdx = forward ? toIdx + 1 : toIdx - 1;
to = points[toIdx];
}
return found ? toIdx : null;
}
for ( iteration = 0; iteration < maxIterations; iteration++) {
// randomly select point to start with
centerPos = Math.floor(Math.random() * points.length);
// trace forward
top = [];
currentPos = centerPos;
top.push(points[currentPos]);
while (( currentPos = trace(currentPos, true)) !== null) {
top.push(points[currentPos]);
}
if (centerPos > 0) {
currentPos = centerPos;
while (( currentPos = trace(currentPos, false)) !== null) {
top.push(points[currentPos]);
}
}
if (top.length > result.length) {
result = top;
}
}
return result;
}
};
export const DILATE = 1;
export const ERODE = 2;
export function dilate(inImageWrapper, outImageWrapper) {
var v,
u,
inImageData = inImageWrapper.data,
outImageData = outImageWrapper.data,
height = inImageWrapper.size.y,
width = inImageWrapper.size.x,
sum,
yStart1,
yStart2,
xStart1,
xStart2;
for ( v = 1; v < height - 1; v++) {
for ( u = 1; u < width - 1; u++) {
yStart1 = v - 1;
yStart2 = v + 1;
xStart1 = u - 1;
xStart2 = u + 1;
sum = inImageData[yStart1 * width + xStart1] + inImageData[yStart1 * width + xStart2] +
inImageData[v * width + u] +
inImageData[yStart2 * width + xStart1] + inImageData[yStart2 * width + xStart2];
outImageData[v * width + u] = sum > 0 ? 1 : 0;
}
}
};
export function erode(inImageWrapper, outImageWrapper) {
var v,
u,
inImageData = inImageWrapper.data,
outImageData = outImageWrapper.data,
height = inImageWrapper.size.y,
width = inImageWrapper.size.x,
sum,
yStart1,
yStart2,
xStart1,
xStart2;
for ( v = 1; v < height - 1; v++) {
for ( u = 1; u < width - 1; u++) {
yStart1 = v - 1;
yStart2 = v + 1;
xStart1 = u - 1;
xStart2 = u + 1;
sum = inImageData[yStart1 * width + xStart1] + inImageData[yStart1 * width + xStart2] +
inImageData[v * width + u] +
inImageData[yStart2 * width + xStart1] + inImageData[yStart2 * width + xStart2];
outImageData[v * width + u] = sum === 5 ? 1 : 0;
}
}
};
export function subtract(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
var length = aImageWrapper.data.length,
aImageData = aImageWrapper.data,
bImageData = bImageWrapper.data,
cImageData = resultImageWrapper.data;
while (length--) {
cImageData[length] = aImageData[length] - bImageData[length];
}
};
export function bitwiseOr(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
var length = aImageWrapper.data.length,
aImageData = aImageWrapper.data,
bImageData = bImageWrapper.data,
cImageData = resultImageWrapper.data;
while (length--) {
cImageData[length] = aImageData[length] || bImageData[length];
}
};
export function countNonZero(imageWrapper) {
var length = imageWrapper.data.length, data = imageWrapper.data, sum = 0;
while (length--) {
sum += data[length];
}
return sum;
};
export function topGeneric(list, top, scoreFunc) {
var i, minIdx = 0, min = 0, queue = [], score, hit, pos;
for ( i = 0; i < top; i++) {
queue[i] = {
score: 0,
item: null
};
}
for ( i = 0; i < list.length; i++) {
score = scoreFunc.apply(this, [list[i]]);
if (score > min) {
hit = queue[minIdx];
hit.score = score;
hit.item = list[i];
min = Number.MAX_VALUE;
for ( pos = 0; pos < top; pos++) {
if (queue[pos].score < min) {
min = queue[pos].score;
minIdx = pos;
}
}
}
}
return queue;
};
export function grayArrayFromImage(htmlImage, offsetX, ctx, array) {
ctx.drawImage(htmlImage, offsetX, 0, htmlImage.width, htmlImage.height);
var ctxData = ctx.getImageData(offsetX, 0, htmlImage.width, htmlImage.height).data;
computeGray(ctxData, array);
};
export function grayArrayFromContext(ctx, size, offset, array) {
var ctxData = ctx.getImageData(offset.x, offset.y, size.x, size.y).data;
computeGray(ctxData, array);
};
export function grayAndHalfSampleFromCanvasData(canvasData, size, outArray) {
var topRowIdx = 0;
var bottomRowIdx = size.x;
var endIdx = Math.floor(canvasData.length / 4);
var outWidth = size.x / 2;
var outImgIdx = 0;
var inWidth = size.x;
var i;
while (bottomRowIdx < endIdx) {
for ( i = 0; i < outWidth; i++) {
outArray[outImgIdx] = (
(0.299 * canvasData[topRowIdx * 4 + 0] +
0.587 * canvasData[topRowIdx * 4 + 1] +
0.114 * canvasData[topRowIdx * 4 + 2]) +
(0.299 * canvasData[(topRowIdx + 1) * 4 + 0] +
0.587 * canvasData[(topRowIdx + 1) * 4 + 1] +
0.114 * canvasData[(topRowIdx + 1) * 4 + 2]) +
(0.299 * canvasData[(bottomRowIdx) * 4 + 0] +
0.587 * canvasData[(bottomRowIdx) * 4 + 1] +
0.114 * canvasData[(bottomRowIdx) * 4 + 2]) +
(0.299 * canvasData[(bottomRowIdx + 1) * 4 + 0] +
0.587 * canvasData[(bottomRowIdx + 1) * 4 + 1] +
0.114 * canvasData[(bottomRowIdx + 1) * 4 + 2])) / 4;
outImgIdx++;
topRowIdx = topRowIdx + 2;
bottomRowIdx = bottomRowIdx + 2;
}
topRowIdx = topRowIdx + inWidth;
bottomRowIdx = bottomRowIdx + inWidth;
}
};
export function computeGray(imageData, outArray, config) {
var l = (imageData.length / 4) | 0,
i,
singleChannel = config && config.singleChannel === true;
if (singleChannel) {
for (i = 0; i < l; i++) {
outArray[i] = imageData[i * 4 + 0];
}
} else {
for (i = 0; i < l; i++) {
outArray[i] =
0.299 * imageData[i * 4 + 0] + 0.587 * imageData[i * 4 + 1] + 0.114 * imageData[i * 4 + 2];
}
}
};
export function loadImageArray(src, callback, canvas) {
if (!canvas) {
canvas = document.createElement('canvas');
}
var img = new Image();
img.callback = callback;
img.onload = function() {
canvas.width = this.width;
canvas.height = this.height;
var ctx = canvas.getContext('2d');
ctx.drawImage(this, 0, 0);
var array = new Uint8Array(this.width * this.height);
ctx.drawImage(this, 0, 0);
var data = ctx.getImageData(0, 0, this.width, this.height).data;
computeGray(data, array);
this.callback(array, {
x: this.width,
y: this.height
}, this);
};
img.src = src;
};
/**
* @param inImg {ImageWrapper} input image to be sampled
* @param outImg {ImageWrapper} to be stored in
*/
export function halfSample(inImgWrapper, outImgWrapper) {
var inImg = inImgWrapper.data;
var inWidth = inImgWrapper.size.x;
var outImg = outImgWrapper.data;
var topRowIdx = 0;
var bottomRowIdx = inWidth;
var endIdx = inImg.length;
var outWidth = inWidth / 2;
var outImgIdx = 0;
while (bottomRowIdx < endIdx) {
for (var i = 0; i < outWidth; i++) {
outImg[outImgIdx] = Math.floor(
(inImg[topRowIdx] + inImg[topRowIdx + 1] + inImg[bottomRowIdx] + inImg[bottomRowIdx + 1]) / 4);
outImgIdx++;
topRowIdx = topRowIdx + 2;
bottomRowIdx = bottomRowIdx + 2;
}
topRowIdx = topRowIdx + inWidth;
bottomRowIdx = bottomRowIdx + inWidth;
}
};
export function hsv2rgb(hsv, rgb) {
var h = hsv[0],
s = hsv[1],
v = hsv[2],
c = v * s,
x = c * (1 - Math.abs((h / 60) % 2 - 1)),
m = v - c,
r = 0,
g = 0,
b = 0;
rgb = rgb || [0, 0, 0];
if (h < 60) {
r = c;
g = x;
} else if (h < 120) {
r = x;
g = c;
} else if (h < 180) {
g = c;
b = x;
} else if (h < 240) {
g = x;
b = c;
} else if (h < 300) {
r = x;
b = c;
} else if (h < 360) {
r = c;
b = x;
}
rgb[0] = ((r + m) * 255) | 0;
rgb[1] = ((g + m) * 255) | 0;
rgb[2] = ((b + m) * 255) | 0;
return rgb;
};
export function _computeDivisors(n) {
var largeDivisors = [],
divisors = [],
i;
for (i = 1; i < Math.sqrt(n) + 1; i++) {
if (n % i === 0) {
divisors.push(i);
if (i !== n / i) {
largeDivisors.unshift(Math.floor(n / i));
}
}
}
return divisors.concat(largeDivisors);
};
function _computeIntersection(arr1, arr2) {
var i = 0,
j = 0,
result = [];
while (i < arr1.length && j < arr2.length) {
if (arr1[i] === arr2[j]) {
result.push(arr1[i]);
i++;
j++;
} else if (arr1[i] > arr2[j]) {
j++;
} else {
i++;
}
}
return result;
};
export function calculatePatchSize(patchSize, imgSize) {
var divisorsX = _computeDivisors(imgSize.x),
divisorsY = _computeDivisors(imgSize.y),
wideSide = Math.max(imgSize.x, imgSize.y),
common = _computeIntersection(divisorsX, divisorsY),
nrOfPatchesList = [8, 10, 15, 20, 32, 60, 80],
nrOfPatchesMap = {
"x-small": 5,
"small": 4,
"medium": 3,
"large": 2,
"x-large": 1
},
nrOfPatchesIdx = nrOfPatchesMap[patchSize] || nrOfPatchesMap.medium,
nrOfPatches = nrOfPatchesList[nrOfPatchesIdx],
desiredPatchSize = Math.floor(wideSide / nrOfPatches),
optimalPatchSize;
function findPatchSizeForDivisors(divisors) {
var i = 0,
found = divisors[Math.floor(divisors.length / 2)];
while (i < (divisors.length - 1) && divisors[i] < desiredPatchSize) {
i++;
}
if (i > 0) {
if (Math.abs(divisors[i] - desiredPatchSize) > Math.abs(divisors[i - 1] - desiredPatchSize)) {
found = divisors[i - 1];
} else {
found = divisors[i];
}
}
if (desiredPatchSize / found < nrOfPatchesList[nrOfPatchesIdx + 1] / nrOfPatchesList[nrOfPatchesIdx] &&
desiredPatchSize / found > nrOfPatchesList[nrOfPatchesIdx - 1] / nrOfPatchesList[nrOfPatchesIdx] ) {
return {x: found, y: found};
}
return null;
}
optimalPatchSize = findPatchSizeForDivisors(common);
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors(_computeDivisors(wideSide));
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors((_computeDivisors(desiredPatchSize * nrOfPatches)));
}
}
return optimalPatchSize;
};
export function _parseCSSDimensionValues(value) {
var dimension = {
value: parseFloat(value),
unit: value.indexOf("%") === value.length - 1 ? "%" : "%"
};
return dimension;
};
export const _dimensionsConverters = {
top: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.height * (dimension.value / 100));
}
},
right: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.width - (context.width * (dimension.value / 100)));
}
},
bottom: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.height - (context.height * (dimension.value / 100)));
}
},
left: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.width * (dimension.value / 100));
}
}
};
export function computeImageArea(inputWidth, inputHeight, area) {
var context = {width: inputWidth, height: inputHeight};
var parsedArea = Object.keys(area).reduce(function(result, key) {
var value = area[key],
parsed = _parseCSSDimensionValues(value),
calculated = _dimensionsConverters[key](parsed, context);
result[key] = calculated;
return result;
}, {});
return {
sx: parsedArea.left,
sy: parsedArea.top,
sw: parsedArea.right - parsedArea.left,
sh: parsedArea.bottom - parsedArea.top
};
};

@ -1,94 +0,0 @@
export default (function() {
var events = {};
function getEvent(eventName) {
if (!events[eventName]) {
events[eventName] = {
subscribers: []
};
}
return events[eventName];
}
function clearEvents(){
events = {};
}
function publishSubscription(subscription, data) {
if (subscription.async) {
setTimeout(function() {
subscription.callback(data);
}, 4);
} else {
subscription.callback(data);
}
}
function subscribe(event, callback, async) {
var subscription;
if ( typeof callback === "function") {
subscription = {
callback: callback,
async: async
};
} else {
subscription = callback;
if (!subscription.callback) {
throw "Callback was not specified on options";
}
}
getEvent(event).subscribers.push(subscription);
}
return {
subscribe: function(event, callback, async) {
return subscribe(event, callback, async);
},
publish: function(eventName, data) {
var event = getEvent(eventName),
subscribers = event.subscribers;
// Publish one-time subscriptions
subscribers.filter(function(subscriber) {
return !!subscriber.once;
}).forEach((subscriber) => {
publishSubscription(subscriber, data);
});
// remove them from the subscriber
event.subscribers = subscribers.filter(function(subscriber) {
return !subscriber.once;
});
// publish the rest
event.subscribers.forEach((subscriber) => {
publishSubscription(subscriber, data);
});
},
once: function(event, callback, async) {
subscribe(event, {
callback: callback,
async: async,
once: true
});
},
unsubscribe: function(eventName, callback) {
var event;
if (eventName) {
event = getEvent(eventName);
if (event && callback) {
event.subscribers = event.subscribers.filter(function(subscriber){
return subscriber.callback !== callback;
});
} else {
event.subscribers = [];
}
} else {
clearEvents();
}
}
};
})();

@ -1,41 +0,0 @@
export default {
drawRect: function(pos, size, ctx, style){
ctx.strokeStyle = style.color;
ctx.fillStyle = style.color;
ctx.lineWidth = style.lineWidth || 1;
ctx.beginPath();
ctx.strokeRect(pos.x, pos.y, size.x, size.y);
},
drawPath: function(path, def, ctx, style) {
ctx.strokeStyle = style.color;
ctx.fillStyle = style.color;
ctx.lineWidth = style.lineWidth;
ctx.beginPath();
ctx.moveTo(path[0][def.x], path[0][def.y]);
for (var j = 1; j < path.length; j++) {
ctx.lineTo(path[j][def.x], path[j][def.y]);
}
ctx.closePath();
ctx.stroke();
},
drawImage: function(imageData, size, ctx) {
var canvasData = ctx.getImageData(0, 0, size.x, size.y),
data = canvasData.data,
imageDataPos = imageData.length,
canvasDataPos = data.length,
value;
if (canvasDataPos / imageDataPos !== 4) {
return false;
}
while (imageDataPos--){
value = imageData[imageDataPos];
data[--canvasDataPos] = 255;
data[--canvasDataPos] = value;
data[--canvasDataPos] = value;
data[--canvasDataPos] = value;
}
ctx.putImageData(canvasData, 0, 0);
return true;
}
};

@ -1,349 +0,0 @@
import SubImage from './subImage';
import {hsv2rgb} from '../common/cv_utils';
import ArrayHelper from '../common/array_helper';
const vec2 = {
clone: require('gl-vec2/clone'),
};
/**
* Represents a basic image combining the data and size.
* In addition, some methods for manipulation are contained.
* @param size {x,y} The size of the image in pixel
* @param data {Array} If given, a flat array containing the pixel data
* @param ArrayType {Type} If given, the desired DataType of the Array (may be typed/non-typed)
* @param initialize {Boolean} Indicating if the array should be initialized on creation.
* @returns {ImageWrapper}
*/
function ImageWrapper(size, data, ArrayType, initialize) {
if (!data) {
if (ArrayType) {
this.data = new ArrayType(size.x * size.y);
if (ArrayType === Array && initialize) {
ArrayHelper.init(this.data, 0);
}
} else {
this.data = new Uint8Array(size.x * size.y);
if (Uint8Array === Array && initialize) {
ArrayHelper.init(this.data, 0);
}
}
} else {
this.data = data;
}
this.size = size;
}
/**
* tests if a position is within the image with a given offset
* @param imgRef {x, y} The location to test
* @param border Number the padding value in pixel
* @returns {Boolean} true if location inside the image's border, false otherwise
* @see cvd/image.h
*/
ImageWrapper.prototype.inImageWithBorder = function(imgRef, border) {
return (imgRef.x >= border)
&& (imgRef.y >= border)
&& (imgRef.x < (this.size.x - border))
&& (imgRef.y < (this.size.y - border));
};
/**
* Performs bilinear sampling
* @param inImg Image to extract sample from
* @param x the x-coordinate
* @param y the y-coordinate
* @returns the sampled value
* @see cvd/vision.h
*/
ImageWrapper.sample = function(inImg, x, y) {
var lx = Math.floor(x);
var ly = Math.floor(y);
var w = inImg.size.x;
var base = ly * inImg.size.x + lx;
var a = inImg.data[base + 0];
var b = inImg.data[base + 1];
var c = inImg.data[base + w];
var d = inImg.data[base + w + 1];
var e = a - b;
x -= lx;
y -= ly;
var result = Math.floor(x * (y * (e - c + d) - e) + y * (c - a) + a);
return result;
};
/**
* Initializes a given array. Sets each element to zero.
* @param array {Array} The array to initialize
*/
ImageWrapper.clearArray = function(array) {
var l = array.length;
while (l--) {
array[l] = 0;
}
};
/**
* Creates a {SubImage} from the current image ({this}).
* @param from {ImageRef} The position where to start the {SubImage} from. (top-left corner)
* @param size {ImageRef} The size of the resulting image
* @returns {SubImage} A shared part of the original image
*/
ImageWrapper.prototype.subImage = function(from, size) {
return new SubImage(from, size, this);
};
/**
* Creates an {ImageWrapper) and copies the needed underlying image-data area
* @param imageWrapper {ImageWrapper} The target {ImageWrapper} where the data should be copied
* @param from {ImageRef} The location where to copy from (top-left location)
*/
ImageWrapper.prototype.subImageAsCopy = function(imageWrapper, from) {
var sizeY = imageWrapper.size.y, sizeX = imageWrapper.size.x;
var x, y;
for ( x = 0; x < sizeX; x++) {
for ( y = 0; y < sizeY; y++) {
imageWrapper.data[y * sizeX + x] = this.data[(from.y + y) * this.size.x + from.x + x];
}
}
};
ImageWrapper.prototype.copyTo = function(imageWrapper) {
var length = this.data.length, srcData = this.data, dstData = imageWrapper.data;
while (length--) {
dstData[length] = srcData[length];
}
};
/**
* Retrieves a given pixel position from the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @returns {Number} The grayscale value at the pixel-position
*/
ImageWrapper.prototype.get = function(x, y) {
return this.data[y * this.size.x + x];
};
/**
* Retrieves a given pixel position from the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @returns {Number} The grayscale value at the pixel-position
*/
ImageWrapper.prototype.getSafe = function(x, y) {
var i;
if (!this.indexMapping) {
this.indexMapping = {
x: [],
y: []
};
for (i = 0; i < this.size.x; i++) {
this.indexMapping.x[i] = i;
this.indexMapping.x[i + this.size.x] = i;
}
for (i = 0; i < this.size.y; i++) {
this.indexMapping.y[i] = i;
this.indexMapping.y[i + this.size.y] = i;
}
}
return this.data[(this.indexMapping.y[y + this.size.y]) * this.size.x + this.indexMapping.x[x + this.size.x]];
};
/**
* Sets a given pixel position in the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @param value {Number} The grayscale value to set
* @returns {ImageWrapper} The Image itself (for possible chaining)
*/
ImageWrapper.prototype.set = function(x, y, value) {
this.data[y * this.size.x + x] = value;
return this;
};
/**
* Sets the border of the image (1 pixel) to zero
*/
ImageWrapper.prototype.zeroBorder = function() {
var i, width = this.size.x, height = this.size.y, data = this.data;
for ( i = 0; i < width; i++) {
data[i] = data[(height - 1) * width + i] = 0;
}
for ( i = 1; i < height - 1; i++) {
data[i * width] = data[i * width + (width - 1)] = 0;
}
};
/**
* Inverts a binary image in place
*/
ImageWrapper.prototype.invert = function() {
var data = this.data, length = data.length;
while (length--) {
data[length] = data[length] ? 0 : 1;
}
};
ImageWrapper.prototype.convolve = function(kernel) {
var x, y, kx, ky, kSize = (kernel.length / 2) | 0, accu = 0;
for ( y = 0; y < this.size.y; y++) {
for ( x = 0; x < this.size.x; x++) {
accu = 0;
for ( ky = -kSize; ky <= kSize; ky++) {
for ( kx = -kSize; kx <= kSize; kx++) {
accu += kernel[ky + kSize][kx + kSize] * this.getSafe(x + kx, y + ky);
}
}
this.data[y * this.size.x + x] = accu;
}
}
};
ImageWrapper.prototype.moments = function(labelcount) {
var data = this.data,
x,
y,
height = this.size.y,
width = this.size.x,
val,
ysq,
labelsum = [],
i,
label,
mu11,
mu02,
mu20,
x_,
y_,
tmp,
result = [],
PI = Math.PI,
PI_4 = PI / 4;
if (labelcount <= 0) {
return result;
}
for ( i = 0; i < labelcount; i++) {
labelsum[i] = {
m00: 0,
m01: 0,
m10: 0,
m11: 0,
m02: 0,
m20: 0,
theta: 0,
rad: 0
};
}
for ( y = 0; y < height; y++) {
ysq = y * y;
for ( x = 0; x < width; x++) {
val = data[y * width + x];
if (val > 0) {
label = labelsum[val - 1];
label.m00 += 1;
label.m01 += y;
label.m10 += x;
label.m11 += x * y;
label.m02 += ysq;
label.m20 += x * x;
}
}
}
for ( i = 0; i < labelcount; i++) {
label = labelsum[i];
if (!isNaN(label.m00) && label.m00 !== 0) {
x_ = label.m10 / label.m00;
y_ = label.m01 / label.m00;
mu11 = label.m11 / label.m00 - x_ * y_;
mu02 = label.m02 / label.m00 - y_ * y_;
mu20 = label.m20 / label.m00 - x_ * x_;
tmp = (mu02 - mu20) / (2 * mu11);
tmp = 0.5 * Math.atan(tmp) + (mu11 >= 0 ? PI_4 : -PI_4 ) + PI;
label.theta = (tmp * 180 / PI + 90) % 180 - 90;
if (label.theta < 0) {
label.theta += 180;
}
label.rad = tmp > PI ? tmp - PI : tmp;
label.vec = vec2.clone([Math.cos(tmp), Math.sin(tmp)]);
result.push(label);
}
}
return result;
};
/**
* Displays the {ImageWrapper} in a given canvas
* @param canvas {Canvas} The canvas element to write to
* @param scale {Number} Scale which is applied to each pixel-value
*/
ImageWrapper.prototype.show = function(canvas, scale) {
var ctx,
frame,
data,
current,
pixel,
x,
y;
if (!scale) {
scale = 1.0;
}
ctx = canvas.getContext('2d');
canvas.width = this.size.x;
canvas.height = this.size.y;
frame = ctx.getImageData(0, 0, canvas.width, canvas.height);
data = frame.data;
current = 0;
for (y = 0; y < this.size.y; y++) {
for (x = 0; x < this.size.x; x++) {
pixel = y * this.size.x + x;
current = this.get(x, y) * scale;
data[pixel * 4 + 0] = current;
data[pixel * 4 + 1] = current;
data[pixel * 4 + 2] = current;
data[pixel * 4 + 3] = 255;
}
}
//frame.data = data;
ctx.putImageData(frame, 0, 0);
};
/**
* Displays the {SubImage} in a given canvas
* @param canvas {Canvas} The canvas element to write to
* @param scale {Number} Scale which is applied to each pixel-value
*/
ImageWrapper.prototype.overlay = function(canvas, scale, from) {
if (!scale || scale < 0 || scale > 360) {
scale = 360;
}
var hsv = [0, 1, 1];
var rgb = [0, 0, 0];
var whiteRgb = [255, 255, 255];
var blackRgb = [0, 0, 0];
var result = [];
var ctx = canvas.getContext('2d');
var frame = ctx.getImageData(from.x, from.y, this.size.x, this.size.y);
var data = frame.data;
var length = this.data.length;
while (length--) {
hsv[0] = this.data[length] * scale;
result = hsv[0] <= 0 ? whiteRgb : hsv[0] >= 360 ? blackRgb : hsv2rgb(hsv, rgb);
data[length * 4 + 0] = result[0];
data[length * 4 + 1] = result[1];
data[length * 4 + 2] = result[2];
data[length * 4 + 3] = 255;
}
ctx.putImageData(frame, from.x, from.y);
};
export default ImageWrapper;

@ -1,17 +0,0 @@
export function enumerateDevices() {
if (navigator.mediaDevices
&& typeof navigator.mediaDevices.enumerateDevices === 'function') {
return navigator.mediaDevices.enumerateDevices();
}
return Promise.reject(new Error('enumerateDevices is not defined'));
};
export function getUserMedia(constraints) {
if (navigator.mediaDevices
&& typeof navigator.mediaDevices.getUserMedia === 'function') {
return navigator.mediaDevices
.getUserMedia(constraints);
}
return Promise.reject(new Error('getUserMedia is not defined'));
}

@ -1,90 +0,0 @@
/**
* Construct representing a part of another {ImageWrapper}. Shares data
* between the parent and the child.
* @param from {ImageRef} The position where to start the {SubImage} from. (top-left corner)
* @param size {ImageRef} The size of the resulting image
* @param I {ImageWrapper} The {ImageWrapper} to share from
* @returns {SubImage} A shared part of the original image
*/
function SubImage(from, size, I) {
if (!I) {
I = {
data: null,
size: size
};
}
this.data = I.data;
this.originalSize = I.size;
this.I = I;
this.from = from;
this.size = size;
}
/**
* Displays the {SubImage} in a given canvas
* @param canvas {Canvas} The canvas element to write to
* @param scale {Number} Scale which is applied to each pixel-value
*/
SubImage.prototype.show = function(canvas, scale) {
var ctx,
frame,
data,
current,
y,
x,
pixel;
if (!scale) {
scale = 1.0;
}
ctx = canvas.getContext('2d');
canvas.width = this.size.x;
canvas.height = this.size.y;
frame = ctx.getImageData(0, 0, canvas.width, canvas.height);
data = frame.data;
current = 0;
for (y = 0; y < this.size.y; y++) {
for (x = 0; x < this.size.x; x++) {
pixel = y * this.size.x + x;
current = this.get(x, y) * scale;
data[pixel * 4 + 0] = current;
data[pixel * 4 + 1] = current;
data[pixel * 4 + 2] = current;
data[pixel * 4 + 3] = 255;
}
}
frame.data = data;
ctx.putImageData(frame, 0, 0);
};
/**
* Retrieves a given pixel position from the {SubImage}
* @param x {Number} The x-position
* @param y {Number} The y-position
* @returns {Number} The grayscale value at the pixel-position
*/
SubImage.prototype.get = function(x, y) {
return this.data[(this.from.y + y) * this.originalSize.x + this.from.x + x];
};
/**
* Updates the underlying data from a given {ImageWrapper}
* @param image {ImageWrapper} The updated image
*/
SubImage.prototype.updateData = function(image) {
this.originalSize = image.size;
this.data = image.data;
};
/**
* Updates the position of the shared area
* @param from {x,y} The new location
* @returns {SubImage} returns {this} for possible chaining
*/
SubImage.prototype.updateFrom = function(from) {
this.from = from;
return this;
};
export default (SubImage);

@ -1,51 +0,0 @@
/*
* typedefs.js
* Normalizes browser-specific prefixes
*/
if (typeof window !== 'undefined') {
window.requestAnimFrame = (function () {
return window.requestAnimationFrame ||
window.webkitRequestAnimationFrame ||
window.mozRequestAnimationFrame ||
window.oRequestAnimationFrame ||
window.msRequestAnimationFrame ||
function (/* function FrameRequestCallback */ callback) {
window.setTimeout(callback, 1000 / 60);
};
})();
}
Math.imul = Math.imul || function(a, b) {
var ah = (a >>> 16) & 0xffff,
al = a & 0xffff,
bh = (b >>> 16) & 0xffff,
bl = b & 0xffff;
// the shift by 0 fixes the sign on the high part
// the final |0 converts the unsigned value into a signed value
return ((al * bl) + (((ah * bl + al * bh) << 16) >>> 0) | 0);
};
if (typeof Object.assign !== 'function') {
Object.assign = function(target) { // .length of function is 2
'use strict';
if (target === null) { // TypeError if undefined or null
throw new TypeError('Cannot convert undefined or null to object');
}
var to = Object(target);
for (var index = 1; index < arguments.length; index++) {
var nextSource = arguments[index];
if (nextSource !== null) { // Skip over if undefined or null
for (var nextKey in nextSource) {
// Avoid bugs when hasOwnProperty is shadowed
if (Object.prototype.hasOwnProperty.call(nextSource, nextKey)) {
to[nextKey] = nextSource[nextKey];
}
}
}
}
return to;
};
}

@ -0,0 +1,60 @@
/**
* The basic configuration
*/
define(function(){
var config = {
inputStream: { name: "Live",
type: "LiveStream",
constraints: {
width: 640,
height: 480,
minAspectRatio: 0,
maxAspectRatio: 100,
facing: "environment" // or user
},
area: {
top: "0%",
right: "0%",
left: "0%",
bottom: "0%"
},
singleChannel: false // true: only the red color-channel is read
},
tracking: false,
debug: false,
controls: false,
locate: true,
numOfWorkers: 4,
visual: {
show: true
},
decoder:{
drawBoundingBox: false,
showFrequency: false,
drawScanline: false,
showPattern: false,
readers: [
'code_128_reader'
]
},
locator: {
halfSample: true,
patchSize: "medium", // x-small, small, medium, large, x-large
showCanvas: false,
showPatches: false,
showFoundPatches: false,
showSkeleton: false,
showLabels: false,
showPatchLabels: false,
showRemainingPatchLabels: false,
boxFromPatches: {
showTransformed: false,
showTransformedBox: false,
showBB: false
}
}
};
return config;
});

@ -1,51 +0,0 @@
module.exports = {
inputStream: {
name: "Live",
type: "LiveStream",
constraints: {
width: 640,
height: 480,
// aspectRatio: 640/480, // optional
facingMode: "environment", // or user
// deviceId: "38745983457387598375983759834"
},
area: {
top: "0%",
right: "0%",
left: "0%",
bottom: "0%"
},
singleChannel: false // true: only the red color-channel is read
},
locate: true,
numOfWorkers: 0,
decoder: {
readers: [
'code_128_reader'
],
debug: {
drawBoundingBox: false,
showFrequency: false,
drawScanline: false,
showPattern: false
}
},
locator: {
halfSample: true,
patchSize: "medium", // x-small, small, medium, large, x-large
debug: {
showCanvas: false,
showPatches: false,
showFoundPatches: false,
showSkeleton: false,
showLabels: false,
showPatchLabels: false,
showRemainingPatchLabels: false,
boxFromPatches: {
showTransformed: false,
showTransformedBox: false,
showBB: false
}
}
}
};

@ -1,11 +0,0 @@
let config;
if (ENV.development){
config = require('./config.dev.js');
} else if (ENV.node) {
config = require('./config.node.js');
} else {
config = require('./config.prod.js');
}
export default config;

@ -1,25 +0,0 @@
module.exports = {
inputStream: {
type: "ImageStream",
sequence: false,
size: 800,
area: {
top: "0%",
right: "0%",
left: "0%",
bottom: "0%"
},
singleChannel: false // true: only the red color-channel is read
},
locate: true,
numOfWorkers: 0,
decoder: {
readers: [
'code_128_reader'
]
},
locator: {
halfSample: true,
patchSize: "medium" // x-small, small, medium, large, x-large
}
};

@ -1,31 +0,0 @@
module.exports = {
inputStream: {
name: "Live",
type: "LiveStream",
constraints: {
width: 640,
height: 480,
// aspectRatio: 640/480, // optional
facingMode: "environment", // or user
// deviceId: "38745983457387598375983759834"
},
area: {
top: "0%",
right: "0%",
left: "0%",
bottom: "0%"
},
singleChannel: false // true: only the red color-channel is read
},
locate: true,
numOfWorkers: 4,
decoder: {
readers: [
'code_128_reader'
]
},
locator: {
halfSample: true,
patchSize: "medium" // x-small, small, medium, large, x-large
}
};

@ -0,0 +1,717 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define, vec2, vec3 */
define(['cluster', 'glMatrixAddon', "array_helper"], function(Cluster2, glMatrixAddon, ArrayHelper) {
"use strict";
/*
* cv_utils.js
* Collection of CV functions and libraries
*/
/**
* Namespace for various CV alorithms
* @class Represents a collection of useful CV algorithms/functions
*/
var CVUtils = {};
/**
* @param x x-coordinate
* @param y y-coordinate
* @return ImageReference {x,y} Coordinate
*/
CVUtils.imageRef = function(x, y) {
var that = {
x : x,
y : y,
toVec2 : function() {
return vec2.create([this.x, this.y]);
},
toVec3 : function() {
return vec3.create([this.x, this.y, 1]);
},
round : function() {
this.x = this.x > 0.0 ? Math.floor(this.x + 0.5) : Math.floor(this.x - 0.5);
this.y = this.y > 0.0 ? Math.floor(this.y + 0.5) : Math.floor(this.y - 0.5);
return this;
}
};
return that;
};
/**
* Computes an integral image of a given grayscale image.
* @param imageDataContainer {ImageDataContainer} the image to be integrated
*/
CVUtils.computeIntegralImage2 = function(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0, posA = 0, posB = 0, posC = 0, posD = 0, x, y;
// sum up first column
posB = width;
sum = 0;
for ( y = 1; y < height; y++) {
sum += imageData[posA];
integralImageData[posB] += sum;
posA += width;
posB += width;
}
posA = 0;
posB = 1;
sum = 0;
for ( x = 1; x < width; x++) {
sum += imageData[posA];
integralImageData[posB] += sum;
posA++;
posB++;
}
for ( y = 1; y < height; y++) {
posA = y * width + 1;
posB = (y - 1) * width + 1;
posC = y * width;
posD = (y - 1) * width;
for ( x = 1; x < width; x++) {
integralImageData[posA] += imageData[posA] + integralImageData[posB] + integralImageData[posC] - integralImageData[posD];
posA++;
posB++;
posC++;
posD++;
}
}
};
CVUtils.computeIntegralImage = function(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0;
// sum up first row
for (var i = 0; i < width; i++) {
sum += imageData[i];
integralImageData[i] = sum;
}
for (var v = 1; v < height; v++) {
sum = 0;
for (var u = 0; u < width; u++) {
sum += imageData[v * width + u];
integralImageData[((v) * width) + u] = sum + integralImageData[(v - 1) * width + u];
}
}
};
CVUtils.thresholdImage = function(imageWrapper, threshold, targetWrapper) {
if (!targetWrapper) {
targetWrapper = imageWrapper;
}
var imageData = imageWrapper.data, length = imageData.length, targetData = targetWrapper.data;
while (length--) {
targetData[length] = imageData[length] < threshold ? 1 : 0;
}
};
CVUtils.computeHistogram = function(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
var imageData = imageWrapper.data,
length = imageData.length,
bitShift = 8 - bitsPerPixel,
bucketCnt = 1 << bitsPerPixel,
hist = new Int32Array(bucketCnt);
while (length--) {
hist[imageData[length] >> bitShift]++;
}
return hist;
};
CVUtils.sharpenLine = function(line) {
var i,
length = line.length,
left = line[0],
center = line[1],
right;
for (i = 1; i < length - 1; i++) {
right = line[i + 1];
// -1 4 -1 kernel
line[i-1] = (((center * 2) - left - right)) & 255;
left = center;
center = right;
}
return line;
};
CVUtils.determineOtsuThreshold = function(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
var hist,
threshold,
bitShift = 8 - bitsPerPixel;
function px(init, end) {
var sum = 0, i;
for ( i = init; i <= end; i++) {
sum += hist[i];
}
return sum;
}
function mx(init, end) {
var i, sum = 0;
for ( i = init; i <= end; i++) {
sum += i * hist[i];
}
return sum;
}
function determineThreshold() {
var vet = [0], p1, p2, p12, k, m1, m2, m12,
max = (1 << bitsPerPixel) - 1;
hist = CVUtils.computeHistogram(imageWrapper, bitsPerPixel);
for ( k = 1; k < max; k++) {
p1 = px(0, k);
p2 = px(k + 1, max);
p12 = p1 * p2;
if (p12 === 0) {
p12 = 1;
}
m1 = mx(0, k) * p2;
m2 = mx(k + 1, max) * p1;
m12 = m1 - m2;
vet[k] = m12 * m12 / p12;
}
return ArrayHelper.maxIndex(vet);
}
threshold = determineThreshold();
return threshold << bitShift;
};
CVUtils.otsuThreshold = function(imageWrapper, targetWrapper) {
var threshold = CVUtils.determineOtsuThreshold(imageWrapper);
CVUtils.thresholdImage(imageWrapper, threshold, targetWrapper);
return threshold;
};
// local thresholding
CVUtils.computeBinaryImage = function(imageWrapper, integralWrapper, targetWrapper) {
CVUtils.computeIntegralImage(imageWrapper, integralWrapper);
if (!targetWrapper) {
targetWrapper = imageWrapper;
}
var imageData = imageWrapper.data;
var targetData = targetWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
var integralImageData = integralWrapper.data;
var sum = 0, v, u, kernel = 3, A, B, C, D, avg, size = (kernel * 2 + 1) * (kernel * 2 + 1);
// clear out top & bottom-border
for ( v = 0; v <= kernel; v++) {
for ( u = 0; u < width; u++) {
targetData[((v) * width) + u] = 0;
targetData[(((height - 1) - v) * width) + u] = 0;
}
}
// clear out left & right border
for ( v = kernel; v < height - kernel; v++) {
for ( u = 0; u <= kernel; u++) {
targetData[((v) * width) + u] = 0;
targetData[((v) * width) + (width - 1 - u)] = 0;
}
}
for ( v = kernel + 1; v < height - kernel - 1; v++) {
for ( u = kernel + 1; u < width - kernel; u++) {
A = integralImageData[(v - kernel - 1) * width + (u - kernel - 1)];
B = integralImageData[(v - kernel - 1) * width + (u + kernel)];
C = integralImageData[(v + kernel) * width + (u - kernel - 1)];
D = integralImageData[(v + kernel) * width + (u + kernel)];
sum = D - C - B + A;
avg = sum / (size);
targetData[v * width + u] = imageData[v * width + u] > (avg + 5) ? 0 : 1;
}
}
};
CVUtils.cluster = function(points, threshold, property) {
var i, k, cluster, point, clusters = [];
if (!property) {
property = "rad";
}
function addToCluster(point) {
var found = false;
for ( k = 0; k < clusters.length; k++) {
cluster = clusters[k];
if (cluster.fits(point)) {
cluster.add(point);
found = true;
}
}
return found;
}
// iterate over each cloud
for ( i = 0; i < points.length; i++) {
point = Cluster2.createPoint(points[i], i, property);
if (!addToCluster(point)) {
clusters.push(Cluster2.create(point, threshold));
}
}
return clusters;
};
CVUtils.Tracer = {
trace : function(points, vec) {
var iteration, maxIterations = 10, top = [], result = [], centerPos = 0, currentPos = 0;
function trace(idx, forward) {
var from, to, toIdx, predictedPos, thresholdX = 1, thresholdY = Math.abs(vec[1] / 10), found = false;
function match(pos, predicted) {
if (pos.x > (predicted.x - thresholdX) && pos.x < (predicted.x + thresholdX) && pos.y > (predicted.y - thresholdY) && pos.y < (predicted.y + thresholdY)) {
return true;
} else {
return false;
}
}
// check if the next index is within the vec specifications
// if not, check as long as the threshold is met
from = points[idx];
if (forward) {
predictedPos = {
x : from.x + vec[0],
y : from.y + vec[1]
};
} else {
predictedPos = {
x : from.x - vec[0],
y : from.y - vec[1]
};
}
toIdx = forward ? idx + 1 : idx - 1;
to = points[toIdx];
while (to && ( found = match(to, predictedPos)) !== true && (Math.abs(to.y - from.y) < vec[1])) {
toIdx = forward ? toIdx + 1 : toIdx - 1;
to = points[toIdx];
}
return found ? toIdx : null;
}
for ( iteration = 0; iteration < maxIterations; iteration++) {
// randomly select point to start with
centerPos = Math.floor(Math.random() * points.length);
// trace forward
top = [];
currentPos = centerPos;
top.push(points[currentPos]);
while (( currentPos = trace(currentPos, true)) !== null) {
top.push(points[currentPos]);
}
if (centerPos > 0) {
currentPos = centerPos;
while (( currentPos = trace(currentPos, false)) !== null) {
top.push(points[currentPos]);
}
}
if (top.length > result.length) {
result = top;
}
}
return result;
}
};
CVUtils.DILATE = 1;
CVUtils.ERODE = 2;
CVUtils.dilate = function(inImageWrapper, outImageWrapper) {
var v, u, inImageData = inImageWrapper.data, outImageData = outImageWrapper.data, height = inImageWrapper.size.y, width = inImageWrapper.size.x, sum, yStart1, yStart2, xStart1, xStart2;
for ( v = 1; v < height - 1; v++) {
for ( u = 1; u < width - 1; u++) {
yStart1 = v - 1;
yStart2 = v + 1;
xStart1 = u - 1;
xStart2 = u + 1;
sum = inImageData[yStart1 * width + xStart1]/* + inImageData[yStart1*width+u] */ + inImageData[yStart1 * width + xStart2] +
/* inImageData[v*width+xStart1] + */
inImageData[v * width + u] + /* inImageData[v*width+xStart2] +*/
inImageData[yStart2 * width + xStart1]/* + inImageData[yStart2*width+u]*/ + inImageData[yStart2 * width + xStart2];
outImageData[v * width + u] = sum > 0 ? 1 : 0;
}
}
};
CVUtils.erode = function(inImageWrapper, outImageWrapper) {
var v, u, inImageData = inImageWrapper.data, outImageData = outImageWrapper.data, height = inImageWrapper.size.y, width = inImageWrapper.size.x, sum, yStart1, yStart2, xStart1, xStart2;
for ( v = 1; v < height - 1; v++) {
for ( u = 1; u < width - 1; u++) {
yStart1 = v - 1;
yStart2 = v + 1;
xStart1 = u - 1;
xStart2 = u + 1;
sum = inImageData[yStart1 * width + xStart1]/* + inImageData[yStart1*width+u] */ + inImageData[yStart1 * width + xStart2] +
/* inImageData[v*width+xStart1] + */
inImageData[v * width + u] + /* inImageData[v*width+xStart2] +*/
inImageData[yStart2 * width + xStart1]/* + inImageData[yStart2*width+u]*/ + inImageData[yStart2 * width + xStart2];
outImageData[v * width + u] = sum === 5 ? 1 : 0;
}
}
};
CVUtils.subtract = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
var length = aImageWrapper.data.length, aImageData = aImageWrapper.data, bImageData = bImageWrapper.data, cImageData = resultImageWrapper.data;
while (length--) {
cImageData[length] = aImageData[length] - bImageData[length];
}
};
CVUtils.bitwiseOr = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
var length = aImageWrapper.data.length, aImageData = aImageWrapper.data, bImageData = bImageWrapper.data, cImageData = resultImageWrapper.data;
while (length--) {
cImageData[length] = aImageData[length] || bImageData[length];
}
};
CVUtils.countNonZero = function(imageWrapper) {
var length = imageWrapper.data.length, data = imageWrapper.data, sum = 0;
while (length--) {
sum += data[length];
}
return sum;
};
CVUtils.topGeneric = function(list, top, scoreFunc) {
var i, minIdx = 0, min = 0, queue = [], score, hit, pos;
for ( i = 0; i < top; i++) {
queue[i] = {
score : 0,
item : null
};
}
for ( i = 0; i < list.length; i++) {
score = scoreFunc.apply(this, [list[i]]);
if (score > min) {
hit = queue[minIdx];
hit.score = score;
hit.item = list[i];
min = Number.MAX_VALUE;
for ( pos = 0; pos < top; pos++) {
if (queue[pos].score < min) {
min = queue[pos].score;
minIdx = pos;
}
}
}
}
return queue;
};
CVUtils.grayArrayFromImage = function(htmlImage, offsetX, ctx, array) {
ctx.drawImage(htmlImage, offsetX, 0, htmlImage.width, htmlImage.height);
var ctxData = ctx.getImageData(offsetX, 0, htmlImage.width, htmlImage.height).data;
CVUtils.computeGray(ctxData, array);
};
CVUtils.grayArrayFromContext = function(ctx, size, offset, array) {
var ctxData = ctx.getImageData(offset.x, offset.y, size.x, size.y).data;
CVUtils.computeGray(ctxData, array);
};
CVUtils.grayAndHalfSampleFromCanvasData = function(canvasData, size, outArray) {
var topRowIdx = 0;
var bottomRowIdx = size.x;
var endIdx = Math.floor(canvasData.length / 4);
var outWidth = size.x / 2;
var outImgIdx = 0;
var inWidth = size.x;
var i;
while (bottomRowIdx < endIdx) {
for ( i = 0; i < outWidth; i++) {
outArray[outImgIdx] = Math.floor(((0.299 * canvasData[topRowIdx * 4 + 0] + 0.587 * canvasData[topRowIdx * 4 + 1] + 0.114 * canvasData[topRowIdx * 4 + 2]) + (0.299 * canvasData[(topRowIdx + 1) * 4 + 0] + 0.587 * canvasData[(topRowIdx + 1) * 4 + 1] + 0.114 * canvasData[(topRowIdx + 1) * 4 + 2]) + (0.299 * canvasData[(bottomRowIdx) * 4 + 0] + 0.587 * canvasData[(bottomRowIdx) * 4 + 1] + 0.114 * canvasData[(bottomRowIdx) * 4 + 2]) + (0.299 * canvasData[(bottomRowIdx + 1) * 4 + 0] + 0.587 * canvasData[(bottomRowIdx + 1) * 4 + 1] + 0.114 * canvasData[(bottomRowIdx + 1) * 4 + 2])) / 4);
outImgIdx++;
topRowIdx = topRowIdx + 2;
bottomRowIdx = bottomRowIdx + 2;
}
topRowIdx = topRowIdx + inWidth;
bottomRowIdx = bottomRowIdx + inWidth;
}
};
CVUtils.computeGray = function(imageData, outArray, config) {
var l = (imageData.length / 4) | 0,
i,
singleChannel = config && config.singleChannel === true;
if (singleChannel) {
for (i = 0; i < l; i++) {
outArray[i] = imageData[i * 4 + 0];
}
} else {
for (i = 0; i < l; i++) {
outArray[i] = Math.floor(0.299 * imageData[i * 4 + 0] + 0.587 * imageData[i * 4 + 1] + 0.114 * imageData[i * 4 + 2]);
}
}
};
CVUtils.loadImageArray = function(src, callback, canvas) {
if (!canvas)
canvas = document.createElement('canvas');
var img = new Image();
img.callback = callback;
img.onload = function() {
canvas.width = this.width;
canvas.height = this.height;
var ctx = canvas.getContext('2d');
ctx.drawImage(this, 0, 0);
var array = new Uint8Array(this.width * this.height);
ctx.drawImage(this, 0, 0);
var data = ctx.getImageData(0, 0, this.width, this.height).data;
CVUtils.computeGray(data, array);
this.callback(array, {
x : this.width,
y : this.height
}, this);
};
img.src = src;
};
/**
* @param inImg {ImageWrapper} input image to be sampled
* @param outImg {ImageWrapper} to be stored in
*/
CVUtils.halfSample = function(inImgWrapper, outImgWrapper) {
var inImg = inImgWrapper.data;
var inWidth = inImgWrapper.size.x;
var outImg = outImgWrapper.data;
var topRowIdx = 0;
var bottomRowIdx = inWidth;
var endIdx = inImg.length;
var outWidth = inWidth / 2;
var outImgIdx = 0;
while (bottomRowIdx < endIdx) {
for (var i = 0; i < outWidth; i++) {
outImg[outImgIdx] = Math.floor((inImg[topRowIdx] + inImg[topRowIdx + 1] + inImg[bottomRowIdx] + inImg[bottomRowIdx + 1]) / 4);
outImgIdx++;
topRowIdx = topRowIdx + 2;
bottomRowIdx = bottomRowIdx + 2;
}
topRowIdx = topRowIdx + inWidth;
bottomRowIdx = bottomRowIdx + inWidth;
}
};
CVUtils.hsv2rgb = function(hsv, rgb) {
var h = hsv[0], s = hsv[1], v = hsv[2], c = v * s, x = c * (1 - Math.abs((h / 60) % 2 - 1)), m = v - c, r = 0, g = 0, b = 0;
rgb = rgb || [0, 0, 0];
if (h < 60) {
r = c;
g = x;
} else if (h < 120) {
r = x;
g = c;
} else if (h < 180) {
g = c;
b = x;
} else if (h < 240) {
g = x;
b = c;
} else if (h < 300) {
r = x;
b = c;
} else if (h < 360) {
r = c;
b = x;
}
rgb[0] = ((r + m) * 255) | 0;
rgb[1] = ((g + m) * 255) | 0;
rgb[2] = ((b + m) * 255) | 0;
return rgb;
};
CVUtils._computeDivisors = function(n) {
var largeDivisors = [],
divisors = [],
i;
for (i = 1; i < Math.sqrt(n) + 1; i++) {
if (n % i === 0) {
divisors.push(i);
if (i !== n/i) {
largeDivisors.unshift(Math.floor(n/i));
}
}
}
return divisors.concat(largeDivisors);
};
CVUtils._computeIntersection = function(arr1, arr2) {
var i = 0,
j = 0,
result = [];
while (i < arr1.length && j < arr2.length) {
if (arr1[i] === arr2[j]) {
result.push(arr1[i]);
i++;
j++;
} else if (arr1[i] > arr2[j]) {
j++;
} else {
i++;
}
}
return result;
};
CVUtils.calculatePatchSize = function(patchSize, imgSize) {
var divisorsX = this._computeDivisors(imgSize.x),
divisorsY = this._computeDivisors(imgSize.y),
wideSide = Math.max(imgSize.x, imgSize.y),
common = this._computeIntersection(divisorsX, divisorsY),
nrOfPatchesList = [8, 10, 15, 20, 32, 60, 80],
nrOfPatchesMap = {
"x-small": 5,
"small": 4,
"medium": 3,
"large": 2,
"x-large": 1
},
nrOfPatchesIdx = nrOfPatchesMap[patchSize] || nrOfPatchesMap.medium,
nrOfPatches = nrOfPatchesList[nrOfPatchesIdx],
desiredPatchSize = Math.floor(wideSide/nrOfPatches),
optimalPatchSize;
function findPatchSizeForDivisors(divisors) {
var i = 0,
found = divisors[Math.floor(divisors.length/2)];
while(i < (divisors.length - 1) && divisors[i] < desiredPatchSize) {
i++;
}
if (i > 0) {
if (Math.abs(divisors[i] - desiredPatchSize) > Math.abs(divisors[i-1] - desiredPatchSize)) {
found = divisors[i-1];
} else {
found = divisors[i];
}
}
if (desiredPatchSize / found < nrOfPatchesList[nrOfPatchesIdx+1] / nrOfPatchesList[nrOfPatchesIdx] &&
desiredPatchSize / found > nrOfPatchesList[nrOfPatchesIdx-1]/nrOfPatchesList[nrOfPatchesIdx] ) {
return {x: found, y: found};
}
return null;
}
optimalPatchSize = findPatchSizeForDivisors(common);
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors(this._computeDivisors(wideSide));
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors((this._computeDivisors(desiredPatchSize * nrOfPatches)));
}
}
return optimalPatchSize;
};
CVUtils._parseCSSDimensionValues = function(value) {
var dimension = {
value: parseFloat(value),
unit: value.indexOf("%") === value.length-1 ? "%" : "%"
};
return dimension;
};
CVUtils._dimensionsConverters = {
top: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.height * (dimension.value / 100));
}
},
right: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.width - (context.width * (dimension.value / 100)));
}
},
bottom: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.height - (context.height * (dimension.value / 100)));
}
},
left: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.width * (dimension.value / 100));
}
}
};
CVUtils.computeImageArea = function(inputWidth, inputHeight, area) {
var context = {width: inputWidth, height: inputHeight};
var parsedArea = Object.keys(area).reduce(function(result, key) {
var value = area[key],
parsed = CVUtils._parseCSSDimensionValues(value),
calculated = CVUtils._dimensionsConverters[key](parsed, context);
result[key] = calculated;
return result;
}, {});
return {
sx: parsedArea.left,
sy: parsedArea.top,
sw: parsedArea.right - parsedArea.left,
sh: parsedArea.bottom - parsedArea.top
};
};
return (CVUtils);
});

@ -1,322 +0,0 @@
import Bresenham from './bresenham';
import ImageDebug from '../common/image_debug';
import Code128Reader from '../reader/code_128_reader';
import EANReader from '../reader/ean_reader';
import Code39Reader from '../reader/code_39_reader';
import Code39VINReader from '../reader/code_39_vin_reader';
import CodabarReader from '../reader/codabar_reader';
import UPCReader from '../reader/upc_reader';
import EAN8Reader from '../reader/ean_8_reader';
import EAN2Reader from '../reader/ean_2_reader';
import EAN5Reader from '../reader/ean_5_reader';
import UPCEReader from '../reader/upc_e_reader';
import I2of5Reader from '../reader/i2of5_reader';
import TwoOfFiveReader from '../reader/2of5_reader';
import Code93Reader from '../reader/code_93_reader';
const READERS = {
code_128_reader: Code128Reader,
ean_reader: EANReader,
ean_5_reader: EAN5Reader,
ean_2_reader: EAN2Reader,
ean_8_reader: EAN8Reader,
code_39_reader: Code39Reader,
code_39_vin_reader: Code39VINReader,
codabar_reader: CodabarReader,
upc_reader: UPCReader,
upc_e_reader: UPCEReader,
i2of5_reader: I2of5Reader,
'2of5_reader': TwoOfFiveReader,
code_93_reader: Code93Reader
};
export default {
create: function(config, inputImageWrapper) {
var _canvas = {
ctx: {
frequency: null,
pattern: null,
overlay: null
},
dom: {
frequency: null,
pattern: null,
overlay: null
}
},
_barcodeReaders = [];
initCanvas();
initReaders();
initConfig();
function initCanvas() {
if (ENV.development && typeof document !== 'undefined') {
var $debug = document.querySelector("#debug.detection");
_canvas.dom.frequency = document.querySelector("canvas.frequency");
if (!_canvas.dom.frequency) {
_canvas.dom.frequency = document.createElement("canvas");
_canvas.dom.frequency.className = "frequency";
if ($debug) {
$debug.appendChild(_canvas.dom.frequency);
}
}
_canvas.ctx.frequency = _canvas.dom.frequency.getContext("2d");
_canvas.dom.pattern = document.querySelector("canvas.patternBuffer");
if (!_canvas.dom.pattern) {
_canvas.dom.pattern = document.createElement("canvas");
_canvas.dom.pattern.className = "patternBuffer";
if ($debug) {
$debug.appendChild(_canvas.dom.pattern);
}
}
_canvas.ctx.pattern = _canvas.dom.pattern.getContext("2d");
_canvas.dom.overlay = document.querySelector("canvas.drawingBuffer");
if (_canvas.dom.overlay) {
_canvas.ctx.overlay = _canvas.dom.overlay.getContext("2d");
}
}
}
function initReaders() {
config.readers.forEach(function(readerConfig) {
var reader,
configuration = {},
supplements = [];
if (typeof readerConfig === 'object') {
reader = readerConfig.format;
configuration = readerConfig.config;
} else if (typeof readerConfig === 'string') {
reader = readerConfig;
}
if (ENV.development) {
console.log("Before registering reader: ", reader);
}
if (configuration.supplements) {
supplements = configuration
.supplements.map((supplement) => {
return new READERS[supplement]();
});
}
_barcodeReaders.push(new READERS[reader](configuration, supplements));
});
if (ENV.development) {
console.log("Registered Readers: " + _barcodeReaders
.map((reader) => JSON.stringify({format: reader.FORMAT, config: reader.config}))
.join(', '));
}
}
function initConfig() {
if (ENV.development && typeof document !== 'undefined') {
var i,
vis = [{
node: _canvas.dom.frequency,
prop: config.debug.showFrequency
}, {
node: _canvas.dom.pattern,
prop: config.debug.showPattern
}];
for (i = 0; i < vis.length; i++) {
if (vis[i].prop === true) {
vis[i].node.style.display = "block";
} else {
vis[i].node.style.display = "none";
}
}
}
}
/**
* extend the line on both ends
* @param {Array} line
* @param {Number} angle
*/
function getExtendedLine(line, angle, ext) {
function extendLine(amount) {
var extension = {
y: amount * Math.sin(angle),
x: amount * Math.cos(angle)
};
line[0].y -= extension.y;
line[0].x -= extension.x;
line[1].y += extension.y;
line[1].x += extension.x;
}
// check if inside image
extendLine(ext);
while (ext > 1 && (!inputImageWrapper.inImageWithBorder(line[0], 0)
|| !inputImageWrapper.inImageWithBorder(line[1], 0))) {
ext -= Math.ceil(ext / 2);
extendLine(-ext);
}
return line;
}
function getLine(box) {
return [{
x: (box[1][0] - box[0][0]) / 2 + box[0][0],
y: (box[1][1] - box[0][1]) / 2 + box[0][1]
}, {
x: (box[3][0] - box[2][0]) / 2 + box[2][0],
y: (box[3][1] - box[2][1]) / 2 + box[2][1]
}];
}
function tryDecode(line) {
var result = null,
i,
barcodeLine = Bresenham.getBarcodeLine(inputImageWrapper, line[0], line[1]);
if (ENV.development && config.debug.showFrequency) {
ImageDebug.drawPath(line, {x: 'x', y: 'y'}, _canvas.ctx.overlay, {color: 'red', lineWidth: 3});
Bresenham.debug.printFrequency(barcodeLine.line, _canvas.dom.frequency);
}
Bresenham.toBinaryLine(barcodeLine);
if (ENV.development && config.debug.showPattern) {
Bresenham.debug.printPattern(barcodeLine.line, _canvas.dom.pattern);
}
for ( i = 0; i < _barcodeReaders.length && result === null; i++) {
result = _barcodeReaders[i].decodePattern(barcodeLine.line);
}
if (result === null){
return null;
}
return {
codeResult: result,
barcodeLine: barcodeLine
};
}
/**
* This method slices the given area apart and tries to detect a barcode-pattern
* for each slice. It returns the decoded barcode, or null if nothing was found
* @param {Array} box
* @param {Array} line
* @param {Number} lineAngle
*/
function tryDecodeBruteForce(box, line, lineAngle) {
var sideLength = Math.sqrt(Math.pow(box[1][0] - box[0][0], 2) + Math.pow((box[1][1] - box[0][1]), 2)),
i,
slices = 16,
result = null,
dir,
extension,
xdir = Math.sin(lineAngle),
ydir = Math.cos(lineAngle);
for ( i = 1; i < slices && result === null; i++) {
// move line perpendicular to angle
dir = sideLength / slices * i * (i % 2 === 0 ? -1 : 1);
extension = {
y: dir * xdir,
x: dir * ydir
};
line[0].y += extension.x;
line[0].x -= extension.y;
line[1].y += extension.x;
line[1].x -= extension.y;
result = tryDecode(line);
}
return result;
}
function getLineLength(line) {
return Math.sqrt(
Math.pow(Math.abs(line[1].y - line[0].y), 2) +
Math.pow(Math.abs(line[1].x - line[0].x), 2));
}
/**
* With the help of the configured readers (Code128 or EAN) this function tries to detect a
* valid barcode pattern within the given area.
* @param {Object} box The area to search in
* @returns {Object} the result {codeResult, line, angle, pattern, threshold}
*/
function decodeFromBoundingBox(box) {
var line,
lineAngle,
ctx = _canvas.ctx.overlay,
result,
lineLength;
if (ENV.development) {
if (config.debug.drawBoundingBox && ctx) {
ImageDebug.drawPath(box, {x: 0, y: 1}, ctx, {color: "blue", lineWidth: 2});
}
}
line = getLine(box);
lineLength = getLineLength(line);
lineAngle = Math.atan2(line[1].y - line[0].y, line[1].x - line[0].x);
line = getExtendedLine(line, lineAngle, Math.floor(lineLength * 0.1));
if (line === null){
return null;
}
result = tryDecode(line);
if (result === null) {
result = tryDecodeBruteForce(box, line, lineAngle);
}
if (result === null) {
return null;
}
if (ENV.development && result && config.debug.drawScanline && ctx) {
ImageDebug.drawPath(line, {x: 'x', y: 'y'}, ctx, {color: 'red', lineWidth: 3});
}
return {
codeResult: result.codeResult,
line: line,
angle: lineAngle,
pattern: result.barcodeLine.line,
threshold: result.barcodeLine.threshold
};
}
return {
decodeFromBoundingBox: function(box) {
return decodeFromBoundingBox(box);
},
decodeFromBoundingBoxes: function(boxes) {
var i, result,
barcodes = [],
multiple = config.multiple;
for ( i = 0; i < boxes.length; i++) {
const box = boxes[i];
result = decodeFromBoundingBox(box) || {};
result.box = box;
if (multiple) {
barcodes.push(result);
} else if (result.codeResult) {
return result;
}
}
if (multiple) {
return {
barcodes
};
}
},
setReaders: function(readers) {
config.readers = readers;
_barcodeReaders.length = 0;
initReaders();
}
};
}
};

@ -1,198 +0,0 @@
import ImageWrapper from '../common/image_wrapper';
var Bresenham = {};
var Slope = {
DIR: {
UP: 1,
DOWN: -1
}
};
/**
* Scans a line of the given image from point p1 to p2 and returns a result object containing
* gray-scale values (0-255) of the underlying pixels in addition to the min
* and max values.
* @param {Object} imageWrapper
* @param {Object} p1 The start point {x,y}
* @param {Object} p2 The end point {x,y}
* @returns {line, min, max}
*/
Bresenham.getBarcodeLine = function(imageWrapper, p1, p2) {
var x0 = p1.x | 0,
y0 = p1.y | 0,
x1 = p2.x | 0,
y1 = p2.y | 0,
steep = Math.abs(y1 - y0) > Math.abs(x1 - x0),
deltax,
deltay,
error,
ystep,
y,
tmp,
x,
line = [],
imageData = imageWrapper.data,
width = imageWrapper.size.x,
sum = 0,
val,
min = 255,
max = 0;
function read(a, b) {
val = imageData[b * width + a];
sum += val;
min = val < min ? val : min;
max = val > max ? val : max;
line.push(val);
}
if (steep) {
tmp = x0;
x0 = y0;
y0 = tmp;
tmp = x1;
x1 = y1;
y1 = tmp;
}
if (x0 > x1) {
tmp = x0;
x0 = x1;
x1 = tmp;
tmp = y0;
y0 = y1;
y1 = tmp;
}
deltax = x1 - x0;
deltay = Math.abs(y1 - y0);
error = (deltax / 2) | 0;
y = y0;
ystep = y0 < y1 ? 1 : -1;
for ( x = x0; x < x1; x++) {
if (steep){
read(y, x);
} else {
read(x, y);
}
error = error - deltay;
if (error < 0) {
y = y + ystep;
error = error + deltax;
}
}
return {
line: line,
min: min,
max: max
};
};
/**
* Converts the result from getBarcodeLine into a binary representation
* also considering the frequency and slope of the signal for more robust results
* @param {Object} result {line, min, max}
*/
Bresenham.toBinaryLine = function(result) {
var min = result.min,
max = result.max,
line = result.line,
slope,
slope2,
center = min + (max - min) / 2,
extrema = [],
currentDir,
dir,
threshold = (max - min) / 12,
rThreshold = -threshold,
i,
j;
// 1. find extrema
currentDir = line[0] > center ? Slope.DIR.UP : Slope.DIR.DOWN;
extrema.push({
pos: 0,
val: line[0]
});
for ( i = 0; i < line.length - 2; i++) {
slope = (line[i + 1] - line[i]);
slope2 = (line[i + 2] - line[i + 1]);
if ((slope + slope2) < rThreshold && line[i + 1] < (center * 1.5)) {
dir = Slope.DIR.DOWN;
} else if ((slope + slope2) > threshold && line[i + 1] > (center * 0.5)) {
dir = Slope.DIR.UP;
} else {
dir = currentDir;
}
if (currentDir !== dir) {
extrema.push({
pos: i,
val: line[i]
});
currentDir = dir;
}
}
extrema.push({
pos: line.length,
val: line[line.length - 1]
});
for ( j = extrema[0].pos; j < extrema[1].pos; j++) {
line[j] = line[j] > center ? 0 : 1;
}
// iterate over extrema and convert to binary based on avg between minmax
for ( i = 1; i < extrema.length - 1; i++) {
if (extrema[i + 1].val > extrema[i].val) {
threshold = (extrema[i].val + ((extrema[i + 1].val - extrema[i].val) / 3) * 2) | 0;
} else {
threshold = (extrema[i + 1].val + ((extrema[i].val - extrema[i + 1].val) / 3)) | 0;
}
for ( j = extrema[i].pos; j < extrema[i + 1].pos; j++) {
line[j] = line[j] > threshold ? 0 : 1;
}
}
return {
line: line,
threshold: threshold
};
};
/**
* Used for development only
*/
Bresenham.debug = {
printFrequency: function(line, canvas) {
var i,
ctx = canvas.getContext("2d");
canvas.width = line.length;
canvas.height = 256;
ctx.beginPath();
ctx.strokeStyle = "blue";
for ( i = 0; i < line.length; i++) {
ctx.moveTo(i, 255);
ctx.lineTo(i, 255 - line[i]);
}
ctx.stroke();
ctx.closePath();
},
printPattern: function(line, canvas) {
var ctx = canvas.getContext("2d"), i;
canvas.width = line.length;
ctx.fillColor = "black";
for ( i = 0; i < line.length; i++) {
if (line[i] === 1) {
ctx.fillRect(i, 0, 1, 100);
}
}
}
};
export default Bresenham;

@ -0,0 +1,55 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./ean_reader"
],
function(EANReader) {
"use strict";
function EAN8Reader() {
EANReader.call(this);
}
var properties = {
FORMAT: {value: "ean_8", writeable: false}
};
EAN8Reader.prototype = Object.create(EANReader.prototype, properties);
EAN8Reader.prototype.constructor = EAN8Reader;
EAN8Reader.prototype._decodePayload = function(code, result, decodedCodes) {
var i,
self = this;
for ( i = 0; i < 4; i++) {
code = self._decodeCode(code.end, self.CODE_G_START);
if (!code) {
return null;
}
result.push(code.code);
decodedCodes.push(code);
}
code = self._findPattern(self.MIDDLE_PATTERN, code.end, true, false);
if (code === null) {
return null;
}
decodedCodes.push(code);
for ( i = 0; i < 4; i++) {
code = self._decodeCode(code.end, self.CODE_G_START);
if (!code) {
return null;
}
decodedCodes.push(code);
result.push(code.code);
}
return code;
};
return (EAN8Reader);
}
);

@ -0,0 +1,337 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./barcode_reader"
],
function(BarcodeReader) {
"use strict";
function EANReader(opts) {
BarcodeReader.call(this, opts);
}
var properties = {
CODE_L_START : {value: 0},
MODULO : {value: 7},
CODE_G_START : {value: 10},
START_PATTERN : {value: [1 / 3 * 7, 1 / 3 * 7, 1 / 3 * 7]},
STOP_PATTERN : {value: [1 / 3 * 7, 1 / 3 * 7, 1 / 3 * 7]},
MIDDLE_PATTERN : {value: [1 / 5 * 7, 1 / 5 * 7, 1 / 5 * 7, 1 / 5 * 7, 1 / 5 * 7]},
CODE_PATTERN : {value: [
[3, 2, 1, 1],
[2, 2, 2, 1],
[2, 1, 2, 2],
[1, 4, 1, 1],
[1, 1, 3, 2],
[1, 2, 3, 1],
[1, 1, 1, 4],
[1, 3, 1, 2],
[1, 2, 1, 3],
[3, 1, 1, 2],
[1, 1, 2, 3],
[1, 2, 2, 2],
[2, 2, 1, 2],
[1, 1, 4, 1],
[2, 3, 1, 1],
[1, 3, 2, 1],
[4, 1, 1, 1],
[2, 1, 3, 1],
[3, 1, 2, 1],
[2, 1, 1, 3]
]},
CODE_FREQUENCY : {value: [0, 11, 13, 14, 19, 25, 28, 21, 22, 26]},
SINGLE_CODE_ERROR: {value: 0.67},
AVG_CODE_ERROR: {value: 0.27},
FORMAT: {value: "ean_13", writeable: false}
};
EANReader.prototype = Object.create(BarcodeReader.prototype, properties);
EANReader.prototype.constructor = EANReader;
EANReader.prototype._decodeCode = function(start, coderange) {
var counter = [0, 0, 0, 0],
i,
self = this,
offset = start,
isWhite = !self._row[offset],
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : start,
end : start
},
code,
error,
normalized;
if (!coderange) {
coderange = self.CODE_PATTERN.length;
}
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
normalized = self._normalize(counter);
if (normalized) {
for (code = 0; code < coderange; code++) {
error = self._matchPattern(normalized, self.CODE_PATTERN[code]);
if (error < bestMatch.error) {
bestMatch.code = code;
bestMatch.error = error;
}
}
bestMatch.end = i;
if (bestMatch.error > self.AVG_CODE_ERROR) {
return null;
}
return bestMatch;
}
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
EANReader.prototype._findPattern = function(pattern, offset, isWhite, tryHarder, epsilon) {
var counter = [],
self = this,
i,
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : 0,
end : 0
},
error,
j,
sum,
normalized;
if (!offset) {
offset = self._nextSet(self._row);
}
if (isWhite === undefined) {
isWhite = false;
}
if (tryHarder === undefined) {
tryHarder = true;
}
if ( epsilon === undefined) {
epsilon = self.AVG_CODE_ERROR;
}
for ( i = 0; i < pattern.length; i++) {
counter[i] = 0;
}
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
sum = 0;
for ( j = 0; j < counter.length; j++) {
sum += counter[j];
}
normalized = self._normalize(counter);
if (normalized) {
error = self._matchPattern(normalized, pattern);
if (error < epsilon) {
bestMatch.error = error;
bestMatch.start = i - sum;
bestMatch.end = i;
return bestMatch;
}
}
if (tryHarder) {
for ( j = 0; j < counter.length - 2; j++) {
counter[j] = counter[j + 2];
}
counter[counter.length - 2] = 0;
counter[counter.length - 1] = 0;
counterPos--;
} else {
return null;
}
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
EANReader.prototype._findStart = function() {
var self = this,
leadingWhitespaceStart,
offset = self._nextSet(self._row),
startInfo;
while(!startInfo) {
startInfo = self._findPattern(self.START_PATTERN, offset);
if (!startInfo) {
return null;
}
leadingWhitespaceStart = startInfo.start - (startInfo.end - startInfo.start);
if (leadingWhitespaceStart >= 0) {
if (self._matchRange(leadingWhitespaceStart, startInfo.start, 0)) {
return startInfo;
}
}
offset = startInfo.end;
startInfo = null;
}
};
EANReader.prototype._verifyTrailingWhitespace = function(endInfo) {
var self = this,
trailingWhitespaceEnd;
trailingWhitespaceEnd = endInfo.end + (endInfo.end - endInfo.start);
if (trailingWhitespaceEnd < self._row.length) {
if (self._matchRange(endInfo.end, trailingWhitespaceEnd, 0)) {
return endInfo;
}
}
return null;
};
EANReader.prototype._findEnd = function(offset, isWhite) {
var self = this,
endInfo = self._findPattern(self.STOP_PATTERN, offset, isWhite, false);
return endInfo !== null ? self._verifyTrailingWhitespace(endInfo) : null;
};
EANReader.prototype._calculateFirstDigit = function(codeFrequency) {
var i,
self = this;
for ( i = 0; i < self.CODE_FREQUENCY.length; i++) {
if (codeFrequency === self.CODE_FREQUENCY[i]) {
return i;
}
}
return null;
};
EANReader.prototype._decodePayload = function(code, result, decodedCodes) {
var i,
self = this,
codeFrequency = 0x0,
firstDigit;
for ( i = 0; i < 6; i++) {
code = self._decodeCode(code.end);
if (!code) {
return null;
}
if (code.code >= self.CODE_G_START) {
code.code = code.code - self.CODE_G_START;
codeFrequency |= 1 << (5 - i);
} else {
codeFrequency |= 0 << (5 - i);
}
result.push(code.code);
decodedCodes.push(code);
}
firstDigit = self._calculateFirstDigit(codeFrequency);
if (firstDigit === null) {
return null;
}
result.unshift(firstDigit);
code = self._findPattern(self.MIDDLE_PATTERN, code.end, true, false);
if (code === null) {
return null;
}
decodedCodes.push(code);
for ( i = 0; i < 6; i++) {
code = self._decodeCode(code.end, self.CODE_G_START);
if (!code) {
return null;
}
decodedCodes.push(code);
result.push(code.code);
}
return code;
};
EANReader.prototype._decode = function() {
var startInfo,
self = this,
code,
result = [],
decodedCodes = [];
startInfo = self._findStart();
if (!startInfo) {
return null;
}
code = {
code : startInfo.code,
start : startInfo.start,
end : startInfo.end
};
decodedCodes.push(code);
code = self._decodePayload(code, result, decodedCodes);
if (!code) {
return null;
}
code = self._findEnd(code.end, false);
if (!code){
return null;
}
decodedCodes.push(code);
// Checksum
if (!self._checksum(result)) {
return null;
}
return {
code : result.join(""),
start : startInfo.start,
end : code.end,
codeset : "",
startInfo : startInfo,
decodedCodes : decodedCodes
};
};
EANReader.prototype._checksum = function(result) {
var sum = 0, i;
for ( i = result.length - 2; i >= 0; i -= 2) {
sum += result[i];
}
sum *= 3;
for ( i = result.length - 1; i >= 0; i -= 2) {
sum += result[i];
}
return sum % 10 === 0;
};
return (EANReader);
}
);

@ -0,0 +1,91 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(function() {
"use strict";
var _events = function() {
var events = {};
function getEvent(eventName) {
if (!events[eventName]) {
events[eventName] = {
subscribers : []
};
}
return events[eventName];
}
function clearEvents(){
events = {};
}
function publishSubscription(subscription, data) {
if (subscription.async) {
setTimeout(function() {
subscription.callback(data);
}, 4);
} else {
subscription.callback(data);
}
}
function subscribe(event, callback, async) {
var subscription;
if ( typeof callback === "function") {
subscription = {
callback : callback,
async : async
};
} else {
subscription = callback;
if (!subscription.callback) {
throw "Callback was not specified on options";
}
}
getEvent(event).subscribers.push(subscription);
}
return {
subscribe : function(event, callback, async) {
return subscribe(event, callback, async);
},
publish : function(eventName, data) {
var event = getEvent(eventName),
subscribers = event.subscribers;
event.subscribers = subscribers.filter(function(subscriber) {
publishSubscription(subscriber, data);
return !subscriber.once;
});
},
once: function(event, callback, async) {
subscribe(event, {
callback: callback,
async: async,
once: true
});
},
unsubscribe: function(eventName, callback) {
var event;
if (eventName) {
event = getEvent(eventName);
if (event && callback) {
event.subscribers = event.subscribers.filter(function(subscriber){
return subscriber.callback !== callback;
});
} else {
event.subscribers = [];
}
} else {
clearEvents();
}
}
};
}();
return _events;
});

@ -0,0 +1,78 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(["cv_utils"], function(CVUtils) {
"use strict";
var FrameGrabber = {};
FrameGrabber.create = function(inputStream, canvas) {
var _that = {},
_streamConfig = inputStream.getConfig(),
_video_size = CVUtils.imageRef(inputStream.getRealWidth(), inputStream.getRealHeight()),
_canvasSize = inputStream.getCanvasSize(),
_size = CVUtils.imageRef(inputStream.getWidth(), inputStream.getHeight()),
topRight = inputStream.getTopRight(),
_sx = topRight.x,
_sy = topRight.y,
_canvas,
_ctx = null,
_data = null;
_canvas = canvas ? canvas : document.createElement("canvas");
_canvas.width = _canvasSize.x;
_canvas.height = _canvasSize.y;
_ctx = _canvas.getContext("2d");
_data = new Uint8Array(_size.x * _size.y);
console.log("FrameGrabber", JSON.stringify({
size: _size,
topRight: topRight,
videoSize: _video_size,
canvasSize: _canvasSize
}));
/**
* Uses the given array as frame-buffer
*/
_that.attachData = function(data) {
_data = data;
};
/**
* Returns the used frame-buffer
*/
_that.getData = function() {
return _data;
};
/**
* Fetches a frame from the input-stream and puts into the frame-buffer.
* The image-data is converted to gray-scale and then half-sampled if configured.
*/
_that.grab = function() {
var doHalfSample = _streamConfig.halfSample,
frame = inputStream.getFrame(),
ctxData;
if (frame) {
_ctx.drawImage(frame, 0, 0, _canvasSize.x, _canvasSize.y);
ctxData = _ctx.getImageData(_sx, _sy, _size.x, _size.y).data;
if(doHalfSample){
CVUtils.grayAndHalfSampleFromCanvasData(ctxData, _size, _data);
} else {
CVUtils.computeGray(ctxData, _data, _streamConfig);
}
return true;
} else {
return false;
}
};
_that.getSize = function() {
return _size;
};
return _that;
};
return (FrameGrabber);
});

@ -0,0 +1,408 @@
/*
* glMatrixAddon.js
* Extension to the glMatrix library. The original glMatrix library
* was created by Brandon Jones.
*/
mat4.xVec4 = function(mat, vec, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1], z = vec[2], w = vec[3];
dest[0] = mat[0]*x + mat[1]*y + mat[2]*z + mat[3]*w;
dest[1] = mat[4]*x + mat[5]*y + mat[6]*z + mat[7]*w;
dest[2] = mat[8]*x + mat[9]*y + mat[10]*z + mat[11]*w;
dest[3] = mat[12]*x + mat[13]*y + mat[14]*z + mat[15]*w;
return dest;
};
mat3.scale = function(mat, scalar, dest){
if(!dest || mat == dest) {
mat[0] *= scalar;
mat[1] *= scalar;
mat[2] *= scalar;
mat[3] *= scalar;
mat[4] *= scalar;
mat[5] *= scalar;
mat[6] *= scalar;
mat[7] *= scalar;
mat[8] *= scalar;
return mat;
}
dest = mat3.create();
dest[0] = mat[0]*scalar;
dest[1] = mat[1]*scalar;
dest[2] = mat[2]*scalar;
dest[3] = mat[3]*scalar;
dest[4] = mat[4]*scalar;
dest[5] = mat[5]*scalar;
dest[6] = mat[6]*scalar;
dest[7] = mat[7]*scalar;
dest[8] = mat[8]*scalar;
return dest;
};
mat3.inverse = function(mat, dest){
if(!dest) { dest = mat; }
var ha00 = mat[0], ha01 = mat[1], ha02 = mat[2];
var ha10 = mat[3], ha11 = mat[4], ha12 = mat[5];
var ha20 = mat[6], ha21 = mat[7], ha22 = mat[8];
var invDetA = 1/(ha00*ha11*ha22 + ha01*ha12*ha20 + ha02*ha10*ha21 - ha02*ha11*ha20 - ha01*ha10*ha22 - ha00*ha12*ha21);
dest[0] = (ha11*ha22 - ha12*ha21)*invDetA;
dest[1] = (ha02*ha21 - ha01*ha22)*invDetA;
dest[2] = (ha01*ha12 - ha02*ha11)*invDetA;
dest[3] = (ha12*ha20 - ha10*ha22)*invDetA;
dest[4] = (ha00*ha22 - ha02*ha20)*invDetA;
dest[5] = (ha02*ha10 - ha00*ha12)*invDetA;
dest[6] = (ha10*ha21 - ha11*ha20)*invDetA;
dest[7] = (ha01*ha20 - ha00*ha21)*invDetA;
dest[8] = (ha00*ha11 - ha01*ha10)*invDetA;
return dest;
};
mat3.multiply = function(mat, mat2, dest) {
if(!dest) { dest = mat; }
var ha00 = mat[0], ha01 = mat[1], ha02 = mat[2];
var ha10 = mat[3], ha11 = mat[4], ha12 = mat[5];
var ha20 = mat[6], ha21 = mat[7], ha22 = mat[8];
var hb00 = mat2[0], hb01 = mat2[1], hb02 = mat2[2];
var hb10 = mat2[3], hb11 = mat2[4], hb12 = mat2[5];
var hb20 = mat2[6], hb21 = mat2[7], hb22 = mat2[8];
dest[0] = ha00*hb00 + ha01*hb10 + ha02*hb20;
dest[1] = ha00*hb01 + ha01*hb11 + ha02*hb21;
dest[2] = ha00*hb02 + ha01*hb12 + ha02*hb22;
dest[3] = ha10*hb00 + ha11*hb10 + ha12*hb20;
dest[4] = ha10*hb01 + ha11*hb11 + ha12*hb21;
dest[5] = ha10*hb02 + ha11*hb12 + ha12*hb22;
dest[6] = ha20*hb00 + ha21*hb10 + ha22*hb20;
dest[7] = ha20*hb01 + ha21*hb11 + ha22*hb21;
dest[8] = ha20*hb02 + ha21*hb12 + ha22*hb22;
return dest;
};
mat3.xVec3 = function(mat, vec, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1], z = vec[2];
dest[0] = mat[0]*x + mat[1]*y + mat[2]*z;
dest[1] = mat[3]*x + mat[4]*y + mat[5]*z;
dest[2] = mat[6]*x + mat[7]*y + mat[8]*z;
return dest;
};
var vec4={};
vec4.create = function(vec){
var dest;
if(vec) {
dest = new glMatrixArrayType(4);
dest[0] = vec[0];
dest[1] = vec[1];
dest[2] = vec[2];
dest[3] = vec[3];
} else {
if(glMatrixArrayType === Array)
dest = new glMatrixArrayType([0,0,0,0]);
else
dest = new glMatrixArrayType(4);
}
return dest;
};
vec4.project = function(vec, dest){
if(!dest) { dest = vec; }
dest[0] = vec[0]/vec[3];
dest[1] = vec[1]/vec[3];
dest[2] = vec[2]/vec[3];
return dest;
};
vec4.scale = function(vec, val, dest){
if(!dest || vec == dest) {
vec[0] *= val;
vec[1] *= val;
vec[2] *= val;
vec[4] *= val;
return vec;
}
dest[0] = vec[0]*val;
dest[1] = vec[1]*val;
dest[2] = vec[2]*val;
dest[3] = vec[3]*val;
return dest;
};
vec4.xMat4 = function(vec, mat, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1], z = vec[2], w = vec[3];
dest[0] = mat[0]*x + mat[4]*y + mat[8]*z + mat[12]*w;
dest[1] = mat[1]*x + mat[5]*y + mat[9]*z + mat[13]*w;
dest[2] = mat[2]*x + mat[6]*y + mat[10]*z + mat[14]*w;
dest[3] = mat[3]*x + mat[7]*y + mat[11]*z + mat[15]*w;
return dest;
};
var mat2 = {};
mat2.create = function(mat){
var dest;
if(mat) {
dest = new glMatrixArrayType(4);
dest[0] = mat[0];
dest[1] = mat[1];
dest[2] = mat[2];
dest[3] = mat[3];
} else {
if(glMatrixArrayType === Array)
dest = new glMatrixArrayType([0,0,0,0]);
else
dest = new glMatrixArrayType(4);
}
return dest;
};
mat2.xVec2 = function(mat, vec, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1];
dest[0] = mat[0]*x + mat[1]*y;
dest[1] = mat[2]*x + mat[3]*y;
return dest;
};
mat2.scale = function(mat, scale, dest){
if(!dest || mat == dest) {
mat[0] *= scale;
mat[1] *= scale;
mat[2] *= scale;
mat[3] *= scale;
return mat;
}
dest[0] = mat[0]*scale;
dest[1] = mat[1]*scale;
dest[2] = mat[2]*scale;
dest[3] = mat[3]*scale;
return dest;
};
mat2.determinant = function(mat){
return mat[0]*mat[3] - mat[1]*mat[2];
};
mat2.inverse = function(mat){
var scale = 1/(mat2.determinant(mat));
var a = mat[3]*scale,
b = -mat[1]*scale,
c = -mat[2]*scale,
d = mat[0];
mat[0] = a;
mat[1] = b;
mat[2] = c;
mat[3] = d;
return mat;
};
var vec2 = {};
vec2.create = function(vec){
var dest;
if(vec) {
dest = new glMatrixArrayType(2);
dest[0] = vec[0];
dest[1] = vec[1];
} else {
if(glMatrixArrayType === Array)
dest = new glMatrixArrayType([0,0]);
else
dest = new glMatrixArrayType(2);
}
return dest;
};
vec2.subtract = function(vec, vec2, dest) {
if(!dest || vec == dest) {
vec[0] -= vec2[0];
vec[1] -= vec2[1];
return vec;
}
dest[0] = vec[0] - vec2[0];
dest[1] = vec[1] - vec2[1];
return dest;
};
vec2.add = function(vec, vec2, dest) {
if(!dest || vec == dest) {
vec[0] += vec2[0];
vec[1] += vec2[1];
return vec;
}
dest[0] = vec[0] + vec2[0];
dest[1] = vec[1] + vec2[1];
return dest;
};
vec2.scale = function(vec, val, dest) {
if(!dest || vec == dest) {
vec[0] *= val;
vec[1] *= val;
return vec;
}
dest[0] = vec[0]*val;
dest[1] = vec[1]*val;
return dest;
};
vec2.normalize = function(vec, dest) {
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1];
var len = Math.sqrt(x*x + y*y);
if (!len) {
dest[0] = 0;
dest[1] = 0;
return dest;
} else if (len == 1) {
dest[0] = x;
dest[1] = y;
return dest;
}
len = 1 / len;
dest[0] = x*len;
dest[1] = y*len;
return dest;
};
vec2.dot = function(vec, vec2){
return vec[0]*vec2[0] + vec[1]*vec2[1];
};
vec2.multiply = function(vec, vec2, dest){
if(!dest) { dest = vec; }
dest[0] = vec[0]*vec2[0];
dest[1] = vec[1]*vec2[1];
return dest;
};
/**
* @param vec vec2 to be unprojected [x,y] -> [x,y,1]
* @returns vec3 unprojected vector
*/
vec2.unproject = function(vec){
return vec3.create([vec[0], vec[1], 1]);
};
vec2.length = function(vec){
return Math.sqrt(vec[0]*vec[0] + vec[1]*vec[1]);
};
vec2.perspectiveProject = function(vec){
var result = vec2.create(vec);
return vec2.scale(result, 1/vec[2]);
};
/**
* @param vec vec3 to be projected [x,y,z] -> [x/z,y/z]
* @returns vec2 projected vector
*/
vec3.project = function(vec){
return vec2.scale(vec2.create(vec), 1/vec[2]);
};
var vec6 = {};
vec6.scale = function(vec, val, dest){
if(!dest || vec == dest) {
vec[0] *= val;
vec[1] *= val;
vec[2] *= val;
vec[3] *= val;
vec[4] *= val;
vec[5] *= val;
return vec;
}
dest[0] = vec[0]*val;
dest[1] = vec[1]*val;
dest[2] = vec[2]*val;
dest[3] = vec[3]*val;
dest[4] = vec[4]*val;
dest[5] = vec[5]*val;
return dest;
};
vec6.subtract = function(vec, vec2, dest){
if(!dest || vec == dest) {
vec[0] -= vec2[0];
vec[1] -= vec2[1];
vec[2] -= vec2[2];
vec[3] -= vec2[3];
vec[4] -= vec2[4];
vec[5] -= vec2[5];
return vec;
}
dest[0] = vec[0] - vec2[0];
dest[1] = vec[1] - vec2[1];
dest[2] = vec[2] - vec2[2];
dest[3] = vec[3] - vec2[3];
dest[4] = vec[4] - vec2[4];
dest[5] = vec[5] - vec2[5];
return dest;
};
vec6.dot = function(vec, vec2){
return vec[0]*vec2[0] + vec[1]*vec2[1] + vec[2]*vec2[2] + vec[3]*vec2[3] + vec[4]*vec2[4] + vec[5]*vec2[5];
};
var mat6 = {};
mat6.xVec6 = function(mat, vec, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1], z = vec[2], u = vec[3], w = vec[4], v = vec[5];
dest[0] = mat[0]*x + mat[1]*y + mat[2]*z + mat[3]*u + mat[4]*w + mat[5]*v;
dest[1] = mat[6]*x + mat[7]*y + mat[8]*z + mat[9]*u + mat[10]*w + mat[11]*v;
dest[2] = mat[12]*x + mat[13]*y + mat[14]*z + mat[15]*u + mat[16]*w + mat[17]*v;
dest[3] = mat[18]*x + mat[19]*y + mat[20]*z + mat[21]*u + mat[22]*w + mat[23]*v;
dest[4] = mat[24]*x + mat[25]*y + mat[26]*z + mat[27]*u + mat[28]*w + mat[29]*v;
dest[5] = mat[30]*x + mat[31]*y + mat[32]*z + mat[33]*u + mat[34]*w + mat[35]*v;
return dest;
};
mat3.xVec3 = function(mat, vec, dest){
if(!dest) { dest = vec; }
var x = vec[0], y = vec[1], z = vec[2];
dest[0] = mat[0]*x + mat[1]*y + mat[2]*z;
dest[1] = mat[3]*x + mat[4]*y + mat[5]*z;
dest[2] = mat[6]*x + mat[7]*y + mat[8]*z;
return dest;
};

@ -0,0 +1,40 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define([], function() {
"use strict";
function createNode(htmlStr) {
var temp = document.createElement('div');
temp.innerHTML = htmlStr;
while (temp.firstChild) {
return temp.firstChild;
}
}
function mergeObjects(obj1, obj2) {
for (var p in obj2) {
try {
if (obj2[p].constructor == Object) {
obj1[p] = mergeObjects(obj1[p], obj2[p]);
} else {
obj1[p] = obj2[p];
}
} catch(e) {
obj1[p] = obj2[p];
}
}
return obj1;
}
return {
createNode : function(htmlStr) {
return createNode(htmlStr);
},
mergeObjects : function(obj1, obj2) {
return mergeObjects(obj1, obj2);
}
};
});

@ -0,0 +1,344 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(
[
"./barcode_reader",
"./html_utils"
],
function(BarcodeReader, HTMLUtils) {
"use strict";
function I2of5Reader(opts) {
opts = HTMLUtils.mergeObjects(getDefaulConfig(), opts);
BarcodeReader.call(this, opts);
this.barSpaceRatio = [1, 1];
if (opts.normalizeBarSpaceWidth) {
this.SINGLE_CODE_ERROR = 0.38;
this.AVG_CODE_ERROR = 0.09;
}
}
function getDefaulConfig() {
var config = {};
Object.keys(I2of5Reader.CONFIG_KEYS).forEach(function(key) {
config[key] = I2of5Reader.CONFIG_KEYS[key]['default'];
});
return config;
}
var N = 1,
W = 3,
properties = {
MODULO : {value: 10},
START_PATTERN : {value: [N*2.5, N*2.5, N*2.5, N*2.5]},
STOP_PATTERN : {value: [N*2, N*2, W*2]},
CODE_PATTERN : {value: [
[N, N, W, W, N],
[W, N, N, N, W],
[N, W, N, N, W],
[W, W, N, N, N],
[N, N, W, N, W],
[W, N, W, N, N],
[N, W, W, N, N],
[N, N, N, W, W],
[W, N, N, W, N],
[N, W, N, W, N]
]},
SINGLE_CODE_ERROR: {value: 0.78, writable: true},
AVG_CODE_ERROR: {value: 0.38, writable: true},
MAX_CORRECTION_FACTOR: {value: 5},
FORMAT: {value: "i2of5"}
};
I2of5Reader.prototype = Object.create(BarcodeReader.prototype, properties);
I2of5Reader.prototype.constructor = I2of5Reader;
I2of5Reader.prototype._matchPattern = function(counter, code) {
if (this.config.normalizeBarSpaceWidth) {
var i,
counterSum = [0, 0],
codeSum = [0, 0],
correction = [0, 0],
correctionRatio = this.MAX_CORRECTION_FACTOR,
correctionRatioInverse = 1 / correctionRatio;
for (i = 0; i < counter.length; i++) {
counterSum[i % 2] += counter[i];
codeSum[i % 2] += code[i];
}
correction[0] = codeSum[0] / counterSum[0];
correction[1] = codeSum[1] / counterSum[1];
correction[0] = Math.max(Math.min(correction[0], correctionRatio), correctionRatioInverse);
correction[1] = Math.max(Math.min(correction[1], correctionRatio), correctionRatioInverse);
this.barSpaceRatio = correction;
for (i = 0; i < counter.length; i++) {
counter[i] *= this.barSpaceRatio[i % 2];
}
}
return BarcodeReader.prototype._matchPattern.call(this, counter, code);
};
I2of5Reader.prototype._findPattern = function(pattern, offset, isWhite, tryHarder) {
var counter = [],
self = this,
i,
counterPos = 0,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : 0,
end : 0
},
error,
j,
sum,
normalized,
epsilon = self.AVG_CODE_ERROR;
isWhite = isWhite || false;
tryHarder = tryHarder || false;
if (!offset) {
offset = self._nextSet(self._row);
}
for ( i = 0; i < pattern.length; i++) {
counter[i] = 0;
}
for ( i = offset; i < self._row.length; i++) {
if (self._row[i] ^ isWhite) {
counter[counterPos]++;
} else {
if (counterPos === counter.length - 1) {
sum = 0;
for ( j = 0; j < counter.length; j++) {
sum += counter[j];
}
normalized = self._normalize(counter);
if (normalized) {
error = self._matchPattern(normalized, pattern);
if (error < epsilon) {
bestMatch.error = error;
bestMatch.start = i - sum;
bestMatch.end = i;
return bestMatch;
}
}
if (tryHarder) {
for (j = 0; j < counter.length - 2; j++) {
counter[j] = counter[j + 2];
}
counter[counter.length - 2] = 0;
counter[counter.length - 1] = 0;
counterPos--;
} else {
return null;
}
} else {
counterPos++;
}
counter[counterPos] = 1;
isWhite = !isWhite;
}
}
return null;
};
I2of5Reader.prototype._findStart = function() {
var self = this,
leadingWhitespaceStart,
offset = self._nextSet(self._row),
startInfo,
narrowBarWidth = 1;
while(!startInfo) {
startInfo = self._findPattern(self.START_PATTERN, offset, false, true);
if (!startInfo) {
return null;
}
narrowBarWidth = Math.floor((startInfo.end - startInfo.start) / 4);
leadingWhitespaceStart = startInfo.start - narrowBarWidth*10;
if (leadingWhitespaceStart >= 0) {
if (self._matchRange(leadingWhitespaceStart, startInfo.start, 0)) {
return startInfo;
}
}
offset = startInfo.end;
startInfo = null;
}
};
I2of5Reader.prototype._verifyTrailingWhitespace = function(endInfo) {
var self = this,
trailingWhitespaceEnd;
trailingWhitespaceEnd = endInfo.end + ((endInfo.end - endInfo.start) / 2);
if (trailingWhitespaceEnd < self._row.length) {
if (self._matchRange(endInfo.end, trailingWhitespaceEnd, 0)) {
return endInfo;
}
}
return null;
};
I2of5Reader.prototype._findEnd = function() {
var self = this,
endInfo,
tmp;
self._row.reverse();
endInfo = self._findPattern(self.STOP_PATTERN);
self._row.reverse();
if (endInfo === null) {
return null;
}
// reverse numbers
tmp = endInfo.start;
endInfo.start = self._row.length - endInfo.end;
endInfo.end = self._row.length - tmp;
return endInfo !== null ? self._verifyTrailingWhitespace(endInfo) : null;
};
I2of5Reader.prototype._decodePair = function(counterPair) {
var i,
code,
codes = [],
self = this;
for (i = 0; i < counterPair.length; i++) {
code = self._decodeCode(counterPair[i]);
if (!code) {
return null;
}
codes.push(code);
}
return codes;
};
I2of5Reader.prototype._decodeCode = function(counter) {
var j,
self = this,
sum = 0,
normalized,
error,
epsilon = self.AVG_CODE_ERROR,
code,
bestMatch = {
error : Number.MAX_VALUE,
code : -1,
start : 0,
end : 0
};
for ( j = 0; j < counter.length; j++) {
sum += counter[j];
}
normalized = self._normalize(counter);
if (normalized) {
for (code = 0; code < self.CODE_PATTERN.length; code++) {
error = self._matchPattern(normalized, self.CODE_PATTERN[code]);
if (error < bestMatch.error) {
bestMatch.code = code;
bestMatch.error = error;
}
}
if (bestMatch.error < epsilon) {
return bestMatch;
}
}
return null;
};
I2of5Reader.prototype._decodePayload = function(counters, result, decodedCodes) {
var i,
self = this,
pos = 0,
counterLength = counters.length,
counterPair = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]],
codes;
while (pos < counterLength) {
for (i = 0; i < 5; i++) {
counterPair[0][i] = counters[pos]*this.barSpaceRatio[0];
counterPair[1][i] = counters[pos + 1]*this.barSpaceRatio[1];
pos += 2;
}
codes = self._decodePair(counterPair);
if (!codes) {
return null;
}
for (i = 0; i < codes.length; i++) {
result.push(codes[i].code + "");
decodedCodes.push(codes[i]);
}
}
return codes;
};
I2of5Reader.prototype._verifyCounterLength = function(counters) {
return (counters.length % 10 === 0);
};
I2of5Reader.prototype._decode = function() {
var startInfo,
endInfo,
self = this,
code,
result = [],
decodedCodes = [],
counters;
startInfo = self._findStart();
if (!startInfo) {
return null;
}
decodedCodes.push(startInfo);
endInfo = self._findEnd();
if (!endInfo) {
return null;
}
counters = self._fillCounters(startInfo.end, endInfo.start, false);
if (!self._verifyCounterLength(counters)) {
return null;
}
code = self._decodePayload(counters, result, decodedCodes);
if (!code) {
return null;
}
if (result.length % 2 !== 0 ||
result.length < 6) {
return null;
}
decodedCodes.push(endInfo);
return {
code : result.join(""),
start : startInfo.start,
end : endInfo.end,
startInfo : startInfo,
decodedCodes : decodedCodes
};
};
I2of5Reader.CONFIG_KEYS = {
normalizeBarSpaceWidth: {
'type': 'boolean',
'default': false,
'description': 'If true, the reader tries to normalize the' +
'width-difference between bars and spaces'
}
};
return (I2of5Reader);
}
);

@ -0,0 +1,49 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(function() {
"use strict";
return {
drawRect: function(pos, size, ctx, style){
ctx.strokeStyle = style.color;
ctx.fillStyle = style.color;
ctx.lineWidth = 1;
ctx.beginPath();
ctx.strokeRect(pos.x, pos.y, size.x, size.y);
},
drawPath: function(path, def, ctx, style) {
ctx.strokeStyle = style.color;
ctx.fillStyle = style.color;
ctx.lineWidth = style.lineWidth;
ctx.beginPath();
ctx.moveTo(path[0][def.x], path[0][def.y]);
for (var j = 1; j < path.length; j++) {
ctx.lineTo(path[j][def.x], path[j][def.y]);
}
ctx.closePath();
ctx.stroke();
},
drawImage: function(imageData, size, ctx) {
var canvasData = ctx.getImageData(0, 0, size.x, size.y),
data = canvasData.data,
imageDataPos = imageData.length,
canvasDataPos = data.length,
value;
if (canvasDataPos/imageDataPos !== 4) {
return false;
}
while(imageDataPos--){
value = imageData[imageDataPos];
data[--canvasDataPos] = 255;
data[--canvasDataPos] = value;
data[--canvasDataPos] = value;
data[--canvasDataPos] = value;
}
ctx.putImageData(canvasData, 0, 0);
return true;
}
};
});

@ -0,0 +1,63 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(function() {
"use strict";
var ImageLoader = {};
ImageLoader.load = function(directory, callback, offset, size, sequence) {
var htmlImagesSrcArray = new Array(size),
htmlImagesArray = new Array(htmlImagesSrcArray.length),
i,
img,
num;
if (sequence === false) {
htmlImagesSrcArray[0] = directory;
} else {
for ( i = 0; i < htmlImagesSrcArray.length; i++) {
num = (offset + i);
htmlImagesSrcArray[i] = directory + "image-" + ("00" + num).slice(-3) + ".jpg";
}
}
htmlImagesArray.notLoaded = [];
htmlImagesArray.addImage = function(img) {
htmlImagesArray.notLoaded.push(img);
};
htmlImagesArray.loaded = function(loadedImg) {
var notloadedImgs = htmlImagesArray.notLoaded;
for (var x = 0; x < notloadedImgs.length; x++) {
if (notloadedImgs[x] == loadedImg) {
notloadedImgs.splice(x, 1);
for (var y = 0; y < htmlImagesSrcArray.length; y++) {
var imgName = htmlImagesSrcArray[y].substr(htmlImagesSrcArray[y].lastIndexOf("/"));
if (loadedImg.src.lastIndexOf(imgName) != -1) {
htmlImagesArray[y] = loadedImg;
break;
}
}
break;
}
}
if (notloadedImgs.length === 0) {
console.log("Images loaded");
callback.apply(null, [htmlImagesArray]);
}
};
for ( i = 0; i < htmlImagesSrcArray.length; i++) {
img = new Image();
htmlImagesArray.addImage(img);
addOnloadHandler(img, htmlImagesArray);
img.src = htmlImagesSrcArray[i];
}
};
function addOnloadHandler(img, htmlImagesArray) {
img.onload = function() {
htmlImagesArray.loaded(this);
};
}
return (ImageLoader);
});

@ -0,0 +1,424 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define, vec2, mat2 */
define([
"subImage",
"cv_utils",
"array_helper"
],
function(SubImage, CVUtils, ArrayHelper) {
'use strict';
/**
* Represents a basic image combining the data and size.
* In addition, some methods for manipulation are contained.
* @param size {x,y} The size of the image in pixel
* @param data {Array} If given, a flat array containing the pixel data
* @param ArrayType {Type} If given, the desired DataType of the Array (may be typed/non-typed)
* @param initialize {Boolean} Indicating if the array should be initialized on creation.
* @returns {ImageWrapper}
*/
function ImageWrapper(size, data, ArrayType, initialize) {
if (!data) {
if (ArrayType) {
this.data = new ArrayType(size.x * size.y);
if (ArrayType === Array && initialize) {
ArrayHelper.init(this.data, 0);
}
} else {
this.data = new Uint8Array(size.x * size.y);
if (Uint8Array === Array && initialize) {
ArrayHelper.init(this.data, 0);
}
}
} else {
this.data = data;
}
this.size = size;
}
/**
* tests if a position is within the image with a given offset
* @param imgRef {x, y} The location to test
* @param border Number the padding value in pixel
* @returns {Boolean} true if location inside the image's border, false otherwise
* @see cvd/image.h
*/
ImageWrapper.prototype.inImageWithBorder = function(imgRef, border) {
return (imgRef.x >= border) && (imgRef.y >= border) && (imgRef.x < (this.size.x - border)) && (imgRef.y < (this.size.y - border));
};
/**
* Transforms an image according to the given affine-transformation matrix.
* @param inImg ImageWrapper a image containing the information to be extracted.
* @param outImg ImageWrapper the image to be filled. The whole image out image is filled by the in image.
* @param M mat2 the matrix used to map point in the out matrix to those in the in matrix
* @param inOrig vec2 origin in the in image
* @param outOrig vec2 origin in the out image
* @returns Number the number of pixels not in the in image
* @see cvd/vision.h
*/
ImageWrapper.transform = function(inImg, outImg, M, inOrig, outOrig) {
var w = outImg.size.x, h = outImg.size.y, iw = inImg.size.x, ih = inImg.size.y;
var across = vec2.create([M[0], M[2]]);
var down = vec2.create([M[1], M[3]]);
var defaultValue = 0;
var p0 = vec2.subtract(inOrig, mat2.xVec2(M, outOrig, vec2.create()), vec2.create());
var min_x = p0[0], min_y = p0[1];
var max_x = min_x, max_y = min_y;
var p, i, j;
var sampleFunc = ImageWrapper.sample;
if (across[0] < 0)
min_x += w * across[0];
else
max_x += w * across[0];
if (down[0] < 0)
min_x += h * down[0];
else
max_x += h * down[0];
if (across[1] < 0)
min_y += w * across[1];
else
max_y += w * across[1];
if (down[1] < 0)
min_y += h * down[1];
else
max_y += h * down[1];
var carrigeReturn = vec2.subtract(down, vec2.scale(across, w, vec2.create()), vec2.create());
if (min_x >= 0 && min_y >= 0 && max_x < iw - 1 && max_y < ih - 1) {
p = p0;
for ( i = 0; i < h; ++i, vec2.add(p, carrigeReturn))
for ( j = 0; j < w; ++j, vec2.add(p, across))
outImg.set(j, i, sampleFunc(inImg, p[0], p[1]));
return 0;
} else {
var x_bound = iw - 1;
var y_bound = ih - 1;
var count = 0;
p = p0;
for ( i = 0; i < h; ++i, vec2.add(p, carrigeReturn)) {
for ( j = 0; j < w; ++j, vec2.add(p, across)) {
if (0 <= p[0] && 0 <= p[1] && p[0] < x_bound && p[1] < y_bound) {
outImg.set(j, i, sampleFunc(inImg, p[0], p[1]));
} else {
outImg.set(j, i, defaultValue); ++count;
}
}
}
return count;
}
};
/**
* Performs bilinear sampling
* @param inImg Image to extract sample from
* @param x the x-coordinate
* @param y the y-coordinate
* @returns the sampled value
* @see cvd/vision.h
*/
ImageWrapper.sample = function(inImg, x, y) {
var lx = Math.floor(x);
var ly = Math.floor(y);
var w = inImg.size.x;
var base = ly * inImg.size.x + lx;
var a = inImg.data[base + 0];
var b = inImg.data[base + 1];
var c = inImg.data[base + w];
var d = inImg.data[base + w + 1];
var e = a - b;
x -= lx;
y -= ly;
var result = Math.floor(x * (y * (e - c + d) - e) + y * (c - a) + a);
return result;
};
/**
* Initializes a given array. Sets each element to zero.
* @param array {Array} The array to initialize
*/
ImageWrapper.clearArray = function(array) {
var l = array.length;
while (l--) {
array[l] = 0;
}
};
/**
* Creates a {SubImage} from the current image ({this}).
* @param from {ImageRef} The position where to start the {SubImage} from. (top-left corner)
* @param size {ImageRef} The size of the resulting image
* @returns {SubImage} A shared part of the original image
*/
ImageWrapper.prototype.subImage = function(from, size) {
return new SubImage(from, size, this);
};
/**
* Creates an {ImageWrapper) and copies the needed underlying image-data area
* @param imageWrapper {ImageWrapper} The target {ImageWrapper} where the data should be copied
* @param from {ImageRef} The location where to copy from (top-left location)
*/
ImageWrapper.prototype.subImageAsCopy = function(imageWrapper, from) {
var sizeY = imageWrapper.size.y, sizeX = imageWrapper.size.x;
var x, y;
for ( x = 0; x < sizeX; x++) {
for ( y = 0; y < sizeY; y++) {
imageWrapper.data[y * sizeX + x] = this.data[(from.y + y) * this.size.x + from.x + x];
}
}
};
ImageWrapper.prototype.copyTo = function(imageWrapper) {
var length = this.data.length, srcData = this.data, dstData = imageWrapper.data;
while (length--) {
dstData[length] = srcData[length];
}
};
/**
* Retrieves a given pixel position from the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @returns {Number} The grayscale value at the pixel-position
*/
ImageWrapper.prototype.get = function(x, y) {
return this.data[y * this.size.x + x];
};
/**
* Retrieves a given pixel position from the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @returns {Number} The grayscale value at the pixel-position
*/
ImageWrapper.prototype.getSafe = function(x, y) {
var i;
if (!this.indexMapping) {
this.indexMapping = {
x : [],
y : []
};
for (i = 0; i < this.size.x; i++) {
this.indexMapping.x[i] = i;
this.indexMapping.x[i + this.size.x] = i;
}
for (i = 0; i < this.size.y; i++) {
this.indexMapping.y[i] = i;
this.indexMapping.y[i + this.size.y] = i;
}
}
return this.data[(this.indexMapping.y[y + this.size.y]) * this.size.x + this.indexMapping.x[x + this.size.x]];
};
/**
* Sets a given pixel position in the image
* @param x {Number} The x-position
* @param y {Number} The y-position
* @param value {Number} The grayscale value to set
* @returns {ImageWrapper} The Image itself (for possible chaining)
*/
ImageWrapper.prototype.set = function(x, y, value) {
this.data[y * this.size.x + x] = value;
return this;
};
/**
* Sets the border of the image (1 pixel) to zero
*/
ImageWrapper.prototype.zeroBorder = function() {
var i, width = this.size.x, height = this.size.y, data = this.data;
for ( i = 0; i < width; i++) {
data[i] = data[(height - 1) * width + i] = 0;
}
for ( i = 1; i < height - 1; i++) {
data[i * width] = data[i * width + (width - 1)] = 0;
}
};
/**
* Inverts a binary image in place
*/
ImageWrapper.prototype.invert = function() {
var data = this.data, length = data.length;
while (length--) {
data[length] = data[length] ? 0 : 1;
}
};
ImageWrapper.prototype.convolve = function(kernel) {
var x, y, kx, ky, kSize = (kernel.length / 2) | 0, accu = 0;
for ( y = 0; y < this.size.y; y++) {
for ( x = 0; x < this.size.x; x++) {
accu = 0;
for ( ky = -kSize; ky <= kSize; ky++) {
for ( kx = -kSize; kx <= kSize; kx++) {
accu += kernel[ky+kSize][kx + kSize] * this.getSafe(x + kx, y + ky);
}
}
this.data[y * this.size.x + x] = accu;
}
}
};
ImageWrapper.prototype.moments = function(labelcount) {
var data = this.data,
x,
y,
height = this.size.y,
width = this.size.x,
val,
ysq,
labelsum = [],
i,
label,
mu11,
mu02,
mu20,
x_,
y_,
tmp,
result = [],
PI = Math.PI,
PI_4 = PI / 4;
if (labelcount <= 0) {
return result;
}
for ( i = 0; i < labelcount; i++) {
labelsum[i] = {
m00 : 0,
m01 : 0,
m10 : 0,
m11 : 0,
m02 : 0,
m20 : 0,
theta : 0,
rad : 0
};
}
for ( y = 0; y < height; y++) {
ysq = y * y;
for ( x = 0; x < width; x++) {
val = data[y * width + x];
if (val > 0) {
label = labelsum[val - 1];
label.m00 += 1;
label.m01 += y;
label.m10 += x;
label.m11 += x * y;
label.m02 += ysq;
label.m20 += x * x;
}
}
}
for ( i = 0; i < labelcount; i++) {
label = labelsum[i];
if (!isNaN(label.m00) && label.m00 !== 0) {
x_ = label.m10 / label.m00;
y_ = label.m01 / label.m00;
mu11 = label.m11 / label.m00 - x_ * y_;
mu02 = label.m02 / label.m00 - y_ * y_;
mu20 = label.m20 / label.m00 - x_ * x_;
tmp = (mu02 - mu20) / (2 * mu11);
tmp = 0.5 * Math.atan(tmp) + (mu11 >= 0 ? PI_4 : -PI_4 ) + PI;
label.theta = (tmp * 180 / PI + 90) % 180 - 90;
if (label.theta < 0) {
label.theta += 180;
}
label.rad = tmp > PI ? tmp - PI : tmp;
label.vec = vec2.create([Math.cos(tmp), Math.sin(tmp)]);
result.push(label);
}
}
return result;
};
/**
* Displays the {ImageWrapper} in a given canvas
* @param canvas {Canvas} The canvas element to write to
* @param scale {Number} Scale which is applied to each pixel-value
*/
ImageWrapper.prototype.show = function(canvas, scale) {
var ctx,
frame,
data,
current,
pixel,
x,
y;
if (!scale) {
scale = 1.0;
}
ctx = canvas.getContext('2d');
canvas.width = this.size.x;
canvas.height = this.size.y;
frame = ctx.getImageData(0, 0, canvas.width, canvas.height);
data = frame.data;
current = 0;
for (y = 0; y < this.size.y; y++) {
for (x = 0; x < this.size.x; x++) {
pixel = y * this.size.x + x;
current = this.get(x, y) * scale;
data[pixel * 4 + 0] = current;
data[pixel * 4 + 1] = current;
data[pixel * 4 + 2] = current;
data[pixel * 4 + 3] = 255;
}
}
//frame.data = data;
ctx.putImageData(frame, 0, 0);
};
/**
* Displays the {SubImage} in a given canvas
* @param canvas {Canvas} The canvas element to write to
* @param scale {Number} Scale which is applied to each pixel-value
*/
ImageWrapper.prototype.overlay = function(canvas, scale, from) {
if (!scale || scale < 0 || scale > 360) {
scale = 360;
}
var hsv = [0, 1, 1];
var rgb = [0, 0, 0];
var whiteRgb = [255, 255, 255];
var blackRgb = [0, 0, 0];
var result = [];
var ctx = canvas.getContext('2d');
var frame = ctx.getImageData(from.x, from.y, this.size.x, this.size.y);
var data = frame.data;
var length = this.data.length;
while (length--) {
hsv[0] = this.data[length] * scale;
result = hsv[0] <= 0 ? whiteRgb : hsv[0] >= 360 ? blackRgb : CVUtils.hsv2rgb(hsv, rgb);
data[length * 4 + 0] = result[0];
data[length * 4 + 1] = result[1];
data[length * 4 + 2] = result[2];
data[length * 4 + 3] = 255;
}
ctx.putImageData(frame, from.x, from.y);
};
return (ImageWrapper);
});

@ -1,119 +0,0 @@
import {omit, pick} from 'lodash';
import {getUserMedia, enumerateDevices} from 'mediaDevices';
const facingMatching = {
"user": /front/i,
"environment": /back/i
};
var streamRef;
function waitForVideo(video) {
return new Promise((resolve, reject) => {
let attempts = 10;
function checkVideo() {
if (attempts > 0) {
if (video.videoWidth > 10 && video.videoHeight > 10) {
if (ENV.development) {
console.log(video.videoWidth + "px x " + video.videoHeight + "px");
}
resolve();
} else {
window.setTimeout(checkVideo, 500);
}
} else {
reject('Unable to play video stream. Is webcam working?');
}
attempts--;
}
checkVideo();
});
}
/**
* Tries to attach the camera-stream to a given video-element
* and calls the callback function when the content is ready
* @param {Object} constraints
* @param {Object} video
*/
function initCamera(video, constraints) {
return getUserMedia(constraints)
.then((stream) => {
return new Promise((resolve) => {
streamRef = stream;
video.setAttribute("autoplay", true);
video.setAttribute('muted', true);
video.setAttribute('playsinline', true);
video.srcObject = stream;
video.addEventListener('loadedmetadata', () => {
video.play();
resolve();
});
});
})
.then(waitForVideo.bind(null, video));
}
function deprecatedConstraints(videoConstraints) {
const normalized = pick(videoConstraints, ["width", "height", "facingMode",
"aspectRatio", "deviceId"]);
if (typeof videoConstraints.minAspectRatio !== 'undefined' &&
videoConstraints.minAspectRatio > 0) {
normalized.aspectRatio = videoConstraints.minAspectRatio;
console.log("WARNING: Constraint 'minAspectRatio' is deprecated; Use 'aspectRatio' instead");
}
if (typeof videoConstraints.facing !== 'undefined') {
normalized.facingMode = videoConstraints.facing;
console.log("WARNING: Constraint 'facing' is deprecated. Use 'facingMode' instead'");
}
return normalized;
}
export function pickConstraints(videoConstraints) {
const normalizedConstraints = {
audio: false,
video: deprecatedConstraints(videoConstraints)
};
if (normalizedConstraints.video.deviceId
&& normalizedConstraints.video.facingMode) {
delete normalizedConstraints.video.facingMode;
}
return Promise.resolve(normalizedConstraints);
}
function enumerateVideoDevices() {
return enumerateDevices()
.then(devices => devices.filter(device => device.kind === 'videoinput'));
}
function getActiveTrack() {
if (streamRef) {
const tracks = streamRef.getVideoTracks();
if (tracks && tracks.length) {
return tracks[0];
}
}
}
export default {
request: function(video, videoConstraints) {
return pickConstraints(videoConstraints)
.then(initCamera.bind(null, video));
},
release: function() {
var tracks = streamRef && streamRef.getVideoTracks();
if (tracks && tracks.length) {
tracks[0].stop();
}
streamRef = null;
},
enumerateVideoDevices,
getActiveStreamLabel: function() {
const track = getActiveTrack();
return track ? track.label : '';
},
getActiveTrack
};

@ -1,146 +0,0 @@
// Scraped from https://github.com/exif-js/exif-js
const ExifTags = {0x0112: "orientation"};
export const AvailableTags = Object.keys(ExifTags).map(key => ExifTags[key]);
export function findTagsInObjectURL(src, tags = AvailableTags) {
if (/^blob\:/i.test(src)) {
return objectURLToBlob(src)
.then(readToBuffer)
.then(buffer => findTagsInBuffer(buffer, tags));
}
return Promise.resolve(null);
}
export function base64ToArrayBuffer(dataUrl) {
const base64 = dataUrl.replace(/^data\:([^\;]+)\;base64,/gmi, ''),
binary = atob(base64),
len = binary.length,
buffer = new ArrayBuffer(len),
view = new Uint8Array(buffer);
for (let i = 0; i < len; i++) {
view[i] = binary.charCodeAt(i);
}
return buffer;
}
function readToBuffer(blob) {
return new Promise(resolve => {
const fileReader = new FileReader();
fileReader.onload = function(e) {
return resolve(e.target.result);
};
fileReader.readAsArrayBuffer(blob);
});
}
function objectURLToBlob(url) {
return new Promise((resolve, reject) => {
const http = new XMLHttpRequest();
http.open("GET", url, true);
http.responseType = "blob";
http.onreadystatechange = function () {
if (http.readyState === XMLHttpRequest.DONE && (http.status === 200 || http.status === 0)) {
resolve(this.response);
}
};
http.onerror = reject;
http.send();
});
}
export function findTagsInBuffer(file, selectedTags = AvailableTags) {
const dataView = new DataView(file),
length = file.byteLength,
exifTags = selectedTags.reduce((result, selectedTag) => {
const exifTag = Object.keys(ExifTags).filter(tag => ExifTags[tag] === selectedTag)[0];
if (exifTag) {
result[exifTag] = selectedTag;
}
return result;
}, {});
let offset = 2,
marker;
if ((dataView.getUint8(0) !== 0xFF) || (dataView.getUint8(1) !== 0xD8)) {
return false;
}
while (offset < length) {
if (dataView.getUint8(offset) !== 0xFF) {
return false;
}
marker = dataView.getUint8(offset + 1);
if (marker === 0xE1) {
return readEXIFData(dataView, offset + 4, exifTags);
} else {
offset += 2 + dataView.getUint16(offset + 2);
}
}
}
function readEXIFData(file, start, exifTags) {
if (getStringFromBuffer(file, start, 4) !== "Exif") {
return false;
}
const tiffOffset = start + 6;
let bigEnd,
tags;
if (file.getUint16(tiffOffset) === 0x4949) {
bigEnd = false;
} else if (file.getUint16(tiffOffset) === 0x4D4D) {
bigEnd = true;
} else {
return false;
}
if (file.getUint16(tiffOffset + 2, !bigEnd) !== 0x002A) {
return false;
}
const firstIFDOffset = file.getUint32(tiffOffset + 4, !bigEnd);
if (firstIFDOffset < 0x00000008) {
return false;
}
tags = readTags(file, tiffOffset, tiffOffset + firstIFDOffset, exifTags, bigEnd);
return tags;
}
function readTags(file, tiffStart, dirStart, strings, bigEnd) {
const entries = file.getUint16(dirStart, !bigEnd),
tags = {};
for (let i = 0; i < entries; i++) {
const entryOffset = dirStart + i * 12 + 2,
tag = strings[file.getUint16(entryOffset, !bigEnd)];
if (tag) {
tags[tag] = readTagValue(file, entryOffset, tiffStart, dirStart, bigEnd);
}
}
return tags;
}
function readTagValue(file, entryOffset, tiffStart, dirStart, bigEnd) {
const type = file.getUint16(entryOffset + 2, !bigEnd),
numValues = file.getUint32(entryOffset + 4, !bigEnd);
switch (type) {
case 3:
if (numValues === 1) {
return file.getUint16(entryOffset + 8, !bigEnd);
}
}
}
function getStringFromBuffer(buffer, start, length) {
let outstr = "";
for (let n = start; n < start + length; n++) {
outstr += String.fromCharCode(buffer.getUint8(n));
}
return outstr;
}

@ -1,122 +0,0 @@
import {
imageRef,
grayAndHalfSampleFromCanvasData,
computeGray
} from '../common/cv_utils';
const TO_RADIANS = Math.PI / 180;
function adjustCanvasSize(canvas, targetSize) {
if (canvas.width !== targetSize.x) {
if (ENV.development) {
console.log("WARNING: canvas-size needs to be adjusted");
}
canvas.width = targetSize.x;
}
if (canvas.height !== targetSize.y) {
if (ENV.development) {
console.log("WARNING: canvas-size needs to be adjusted");
}
canvas.height = targetSize.y;
}
}
var FrameGrabber = {};
FrameGrabber.create = function(inputStream, canvas) {
var _that = {},
_streamConfig = inputStream.getConfig(),
_video_size = imageRef(inputStream.getRealWidth(), inputStream.getRealHeight()),
_canvasSize = inputStream.getCanvasSize(),
_size = imageRef(inputStream.getWidth(), inputStream.getHeight()),
topRight = inputStream.getTopRight(),
_sx = topRight.x,
_sy = topRight.y,
_canvas,
_ctx = null,
_data = null;
_canvas = canvas ? canvas : document.createElement("canvas");
_canvas.width = _canvasSize.x;
_canvas.height = _canvasSize.y;
_ctx = _canvas.getContext("2d");
_data = new Uint8Array(_size.x * _size.y);
if (ENV.development) {
console.log("FrameGrabber", JSON.stringify({
size: _size,
topRight: topRight,
videoSize: _video_size,
canvasSize: _canvasSize
}));
}
/**
* Uses the given array as frame-buffer
*/
_that.attachData = function(data) {
_data = data;
};
/**
* Returns the used frame-buffer
*/
_that.getData = function() {
return _data;
};
/**
* Fetches a frame from the input-stream and puts into the frame-buffer.
* The image-data is converted to gray-scale and then half-sampled if configured.
*/
_that.grab = function() {
var doHalfSample = _streamConfig.halfSample,
frame = inputStream.getFrame(),
drawable = frame,
drawAngle = 0,
ctxData;
if (drawable) {
adjustCanvasSize(_canvas, _canvasSize);
if (_streamConfig.type === 'ImageStream') {
drawable = frame.img;
if (frame.tags && frame.tags.orientation) {
switch (frame.tags.orientation) {
case 6:
drawAngle = 90 * TO_RADIANS;
break;
case 8:
drawAngle = -90 * TO_RADIANS;
break;
}
}
}
if (drawAngle !== 0) {
_ctx.translate(_canvasSize.x / 2, _canvasSize.y / 2);
_ctx.rotate(drawAngle);
_ctx.drawImage(drawable, -_canvasSize.y / 2, -_canvasSize.x / 2, _canvasSize.y, _canvasSize.x);
_ctx.rotate(-drawAngle);
_ctx.translate(-_canvasSize.x / 2, -_canvasSize.y / 2);
} else {
_ctx.drawImage(drawable, 0, 0, _canvasSize.x, _canvasSize.y);
}
ctxData = _ctx.getImageData(_sx, _sy, _size.x, _size.y).data;
if (doHalfSample){
grayAndHalfSampleFromCanvasData(ctxData, _size, _data);
} else {
computeGray(ctxData, _data, _streamConfig);
}
return true;
} else {
return false;
}
};
_that.getSize = function() {
return _size;
};
return _that;
};
export default FrameGrabber;

@ -1,71 +0,0 @@
import {findTagsInObjectURL} from './exif_helper';
var ImageLoader = {};
ImageLoader.load = function(directory, callback, offset, size, sequence) {
var htmlImagesSrcArray = new Array(size),
htmlImagesArray = new Array(htmlImagesSrcArray.length),
i,
img,
num;
if (sequence === false) {
htmlImagesSrcArray[0] = directory;
} else {
for ( i = 0; i < htmlImagesSrcArray.length; i++) {
num = (offset + i);
htmlImagesSrcArray[i] = directory + "image-" + ("00" + num).slice(-3) + ".jpg";
}
}
htmlImagesArray.notLoaded = [];
htmlImagesArray.addImage = function(image) {
htmlImagesArray.notLoaded.push(image);
};
htmlImagesArray.loaded = function(loadedImg) {
var notloadedImgs = htmlImagesArray.notLoaded;
for (var x = 0; x < notloadedImgs.length; x++) {
if (notloadedImgs[x] === loadedImg) {
notloadedImgs.splice(x, 1);
for (var y = 0; y < htmlImagesSrcArray.length; y++) {
var imgName = htmlImagesSrcArray[y].substr(htmlImagesSrcArray[y].lastIndexOf("/"));
if (loadedImg.src.lastIndexOf(imgName) !== -1) {
htmlImagesArray[y] = {img: loadedImg};
break;
}
}
break;
}
}
if (notloadedImgs.length === 0) {
if (ENV.development) {
console.log("Images loaded");
}
if (sequence === false) {
findTagsInObjectURL(directory, ['orientation'])
.then(tags => {
htmlImagesArray[0].tags = tags;
callback(htmlImagesArray);
}).catch(e => {
console.log(e);
callback(htmlImagesArray);
});
} else {
callback(htmlImagesArray);
}
}
};
for ( i = 0; i < htmlImagesSrcArray.length; i++) {
img = new Image();
htmlImagesArray.addImage(img);
addOnloadHandler(img, htmlImagesArray);
img.src = htmlImagesSrcArray[i];
}
};
function addOnloadHandler(img, htmlImagesArray) {
img.onload = function() {
htmlImagesArray.loaded(this);
};
}
export default (ImageLoader);

@ -1,330 +0,0 @@
import ImageLoader from './image_loader';
var InputStream = {};
InputStream.createVideoStream = function(video) {
var that = {},
_config = null,
_eventNames = ['canrecord', 'ended'],
_eventHandlers = {},
_calculatedWidth,
_calculatedHeight,
_topRight = {x: 0, y: 0},
_canvasSize = {x: 0, y: 0};
function initSize() {
var width = video.videoWidth,
height = video.videoHeight;
_calculatedWidth =
_config.size ? width / height > 1 ? _config.size : Math.floor((width / height) * _config.size) : width;
_calculatedHeight =
_config.size ? width / height > 1 ? Math.floor((height / width) * _config.size) : _config.size : height;
_canvasSize.x = _calculatedWidth;
_canvasSize.y = _calculatedHeight;
}
that.getRealWidth = function() {
return video.videoWidth;
};
that.getRealHeight = function() {
return video.videoHeight;
};
that.getWidth = function() {
return _calculatedWidth;
};
that.getHeight = function() {
return _calculatedHeight;
};
that.setWidth = function(width) {
_calculatedWidth = width;
};
that.setHeight = function(height) {
_calculatedHeight = height;
};
that.setInputStream = function(config) {
_config = config;
video.src = (typeof config.src !== 'undefined') ? config.src : '';
};
that.ended = function() {
return video.ended;
};
that.getConfig = function() {
return _config;
};
that.setAttribute = function(name, value) {
video.setAttribute(name, value);
};
that.pause = function() {
video.pause();
};
that.play = function() {
video.play();
};
that.setCurrentTime = function(time) {
if (_config.type !== "LiveStream") {
video.currentTime = time;
}
};
that.addEventListener = function(event, f, bool) {
if (_eventNames.indexOf(event) !== -1) {
if (!_eventHandlers[event]) {
_eventHandlers[event] = [];
}
_eventHandlers[event].push(f);
} else {
video.addEventListener(event, f, bool);
}
};
that.clearEventHandlers = function() {
_eventNames.forEach(function(eventName) {
var handlers = _eventHandlers[eventName];
if (handlers && handlers.length > 0) {
handlers.forEach(function(handler) {
video.removeEventListener(eventName, handler);
});
}
});
};
that.trigger = function(eventName, args) {
var j,
handlers = _eventHandlers[eventName];
if (eventName === 'canrecord') {
initSize();
}
if (handlers && handlers.length > 0) {
for ( j = 0; j < handlers.length; j++) {
handlers[j].apply(that, args);
}
}
};
that.setTopRight = function(topRight) {
_topRight.x = topRight.x;
_topRight.y = topRight.y;
};
that.getTopRight = function() {
return _topRight;
};
that.setCanvasSize = function(size) {
_canvasSize.x = size.x;
_canvasSize.y = size.y;
};
that.getCanvasSize = function() {
return _canvasSize;
};
that.getFrame = function() {
return video;
};
return that;
};
InputStream.createLiveStream = function(video) {
video.setAttribute("autoplay", true);
var that = InputStream.createVideoStream(video);
that.ended = function() {
return false;
};
return that;
};
InputStream.createImageStream = function() {
var that = {};
var _config = null;
var width = 0,
height = 0,
frameIdx = 0,
paused = true,
loaded = false,
imgArray = null,
size = 0,
offset = 1,
baseUrl = null,
ended = false,
calculatedWidth,
calculatedHeight,
_eventNames = ['canrecord', 'ended'],
_eventHandlers = {},
_topRight = {x: 0, y: 0},
_canvasSize = {x: 0, y: 0};
function loadImages() {
loaded = false;
ImageLoader.load(baseUrl, function(imgs) {
imgArray = imgs;
if (imgs[0].tags && imgs[0].tags.orientation) {
switch (imgs[0].tags.orientation) {
case 6:
case 8:
width = imgs[0].img.height;
height = imgs[0].img.width;
break;
default:
width = imgs[0].img.width;
height = imgs[0].img.height;
}
} else {
width = imgs[0].img.width;
height = imgs[0].img.height;
}
calculatedWidth =
_config.size ? width / height > 1 ? _config.size : Math.floor((width / height) * _config.size) : width;
calculatedHeight =
_config.size ? width / height > 1 ? Math.floor((height / width) * _config.size) : _config.size : height;
_canvasSize.x = calculatedWidth;
_canvasSize.y = calculatedHeight;
loaded = true;
frameIdx = 0;
setTimeout(function() {
publishEvent("canrecord", []);
}, 0);
}, offset, size, _config.sequence);
}
function publishEvent(eventName, args) {
var j,
handlers = _eventHandlers[eventName];
if (handlers && handlers.length > 0) {
for ( j = 0; j < handlers.length; j++) {
handlers[j].apply(that, args);
}
}
}
that.trigger = publishEvent;
that.getWidth = function() {
return calculatedWidth;
};
that.getHeight = function() {
return calculatedHeight;
};
that.setWidth = function(newWidth) {
calculatedWidth = newWidth;
};
that.setHeight = function(newHeight) {
calculatedHeight = newHeight;
};
that.getRealWidth = function() {
return width;
};
that.getRealHeight = function() {
return height;
};
that.setInputStream = function(stream) {
_config = stream;
if (stream.sequence === false) {
baseUrl = stream.src;
size = 1;
} else {
baseUrl = stream.src;
size = stream.length;
}
loadImages();
};
that.ended = function() {
return ended;
};
that.setAttribute = function() {};
that.getConfig = function() {
return _config;
};
that.pause = function() {
paused = true;
};
that.play = function() {
paused = false;
};
that.setCurrentTime = function(time) {
frameIdx = time;
};
that.addEventListener = function(event, f) {
if (_eventNames.indexOf(event) !== -1) {
if (!_eventHandlers[event]) {
_eventHandlers[event] = [];
}
_eventHandlers[event].push(f);
}
};
that.setTopRight = function(topRight) {
_topRight.x = topRight.x;
_topRight.y = topRight.y;
};
that.getTopRight = function() {
return _topRight;
};
that.setCanvasSize = function(canvasSize) {
_canvasSize.x = canvasSize.x;
_canvasSize.y = canvasSize.y;
};
that.getCanvasSize = function() {
return _canvasSize;
};
that.getFrame = function() {
var frame;
if (!loaded){
return null;
}
if (!paused) {
frame = imgArray[frameIdx];
if (frameIdx < (size - 1)) {
frameIdx++;
} else {
setTimeout(function() {
ended = true;
publishEvent("ended", []);
}, 0);
}
}
return frame;
};
return that;
};
export default InputStream;

@ -0,0 +1,317 @@
/* jshint undef: true, unused: true, browser:true, devel: true */
/* global define */
define(["image_loader"], function(ImageLoader) {
"use strict";
var InputStream = {};
InputStream.createVideoStream = function(video) {
var that = {},
_config = null,
_eventNames = ['canrecord', 'ended'],
_eventHandlers = {},
_calculatedWidth,
_calculatedHeight,
_topRight = {x: 0, y: 0},
_canvasSize = {x: 0, y: 0};
function initSize() {
var width = video.videoWidth,
height = video.videoHeight;
_calculatedWidth = _config.size ? width/height > 1 ? _config.size : Math.floor((width/height) * _config.size) : width;
_calculatedHeight = _config.size ? width/height > 1 ? Math.floor((height/width) * _config.size) : _config.size : height;
_canvasSize.x = _calculatedWidth;
_canvasSize.y = _calculatedHeight;
}
that.getRealWidth = function() {
return video.videoWidth;
};
that.getRealHeight = function() {
return video.videoHeight;
};
that.getWidth = function() {
return _calculatedWidth;
};
that.getHeight = function() {
return _calculatedHeight;
};
that.setWidth = function(width) {
_calculatedWidth = width;
};
that.setHeight = function(height) {
_calculatedHeight = height;
};
that.setInputStream = function(config) {
_config = config;
video.src = (typeof config.src !== 'undefined') ? config.src : '';
};
that.ended = function() {
return video.ended;
};
that.getConfig = function() {
return _config;
};
that.setAttribute = function(name, value) {
video.setAttribute(name, value);
};
that.pause = function() {
video.pause();
};
that.play = function() {
video.play();
};
that.setCurrentTime = function(time) {
if (_config.type !== "LiveStream")
video.currentTime = time;
};
that.addEventListener = function(event, f, bool) {
if (_eventNames.indexOf(event) !== -1) {
if (!_eventHandlers[event]) {
_eventHandlers[event] = [];
}
_eventHandlers[event].push(f);
} else {
video.addEventListener(event, f, bool);
}
};
that.clearEventHandlers = function() {
_eventNames.forEach(function(eventName) {
var handlers = _eventHandlers[eventName];
if (handlers && handlers.length > 0) {
handlers.forEach(function(handler) {
video.removeEventListener(eventName, handler);
});
}
});
};
that.trigger = function(eventName, args) {
var j,
handlers = _eventHandlers[eventName];
if (eventName === 'canrecord') {
initSize();
}
if (handlers && handlers.length > 0) {
for ( j = 0; j < handlers.length; j++) {
handlers[j].apply(that, args);
}
}
};
that.setTopRight = function(topRight) {
_topRight.x = topRight.x;
_topRight.y = topRight.y;
};
that.getTopRight = function() {
return _topRight;
};
that.setCanvasSize = function(size) {
_canvasSize.x = size.x;
_canvasSize.y = size.y;
};
that.getCanvasSize = function() {
return _canvasSize;
};
that.getFrame = function() {
return video;
};
return that;
};
InputStream.createLiveStream = function(video) {
video.setAttribute("autoplay", true);
var that = InputStream.createVideoStream(video);
that.ended = function() {
return false;
};
return that;
};
InputStream.createImageStream = function() {
var that = {};
var _config = null;
var width = 0,
height = 0,
frameIdx = 0,
paused = true,
loaded = false,
imgArray = null,
size = 0,
offset = 1,
baseUrl = null,
ended = false,
calculatedWidth,
calculatedHeight,
_eventNames = ['canrecord', 'ended'],
_eventHandlers = {},
_topRight = {x: 0, y: 0},
_canvasSize = {x: 0, y: 0};
function loadImages() {
loaded = false;
ImageLoader.load(baseUrl, function(imgs) {
imgArray = imgs;
width = imgs[0].width;
height = imgs[0].height;
calculatedWidth = _config.size ? width/height > 1 ? _config.size : Math.floor((width/height) * _config.size) : width;
calculatedHeight = _config.size ? width/height > 1 ? Math.floor((height/width) * _config.size) : _config.size : height;
_canvasSize.x = calculatedWidth;
_canvasSize.y = calculatedHeight;
loaded = true;
frameIdx = 0;
setTimeout(function() {
publishEvent("canrecord", []);
}, 0);
}, offset, size, _config.sequence);
}
function publishEvent(eventName, args) {
var j,
handlers = _eventHandlers[eventName];
if (handlers && handlers.length > 0) {
for ( j = 0; j < handlers.length; j++) {
handlers[j].apply(that, args);
}
}
}
that.trigger = publishEvent;
that.getWidth = function() {
return calculatedWidth;
};
that.getHeight = function() {
return calculatedHeight;
};
that.setWidth = function(width) {
calculatedWidth = width;
};
that.setHeight = function(height) {
calculatedHeight = height;
};
that.getRealWidth = function() {
return width;
};
that.getRealHeight = function() {
return height;
};
that.setInputStream = function(stream) {
_config = stream;
if (stream.sequence === false) {
baseUrl = stream.src;
size = 1;
} else {
baseUrl = stream.src;
size = stream.length;
}
loadImages();
};
that.ended = function() {
return ended;
};
that.setAttribute = function() {};
that.getConfig = function() {
return _config;
};
that.pause = function() {
paused = true;
};
that.play = function() {
paused = false;
};
that.setCurrentTime = function(time) {
frameIdx = time;
};
that.addEventListener = function(event, f) {
if (_eventNames.indexOf(event) !== -1) {
if (!_eventHandlers[event]) {
_eventHandlers[event] = [];
}
_eventHandlers[event].push(f);
}
};
that.setTopRight = function(topRight) {
_topRight.x = topRight.x;
_topRight.y = topRight.y;
};
that.getTopRight = function() {
return _topRight;
};
that.setCanvasSize = function(size) {
_canvasSize.x = size.x;
_canvasSize.y = size.y;
};
that.getCanvasSize = function() {
return _canvasSize;
};
that.getFrame = function() {
var frame;
if (!loaded){
return null;
}
if (!paused) {
frame = imgArray[frameIdx];
if (frameIdx < (size - 1)) {
frameIdx++;
} else {
setTimeout(function() {
ended = true;
publishEvent("ended", []);
}, 0);
}
}
return frame;
};
return that;
};
return (InputStream);
});

@ -1,607 +0,0 @@
import ImageWrapper from '../common/image_wrapper';
import {
calculatePatchSize,
otsuThreshold,
hsv2rgb,
cluster,
topGeneric,
imageRef,
halfSample,
computeImageArea
} from '../common/cv_utils';
import ArrayHelper from '../common/array_helper';
import ImageDebug from '../common/image_debug';
import Rasterizer from './rasterizer';
import Tracer from './tracer';
import skeletonizer from './skeletonizer';
const vec2 = {
clone: require('gl-vec2/clone'),
dot: require('gl-vec2/dot'),
scale: require('gl-vec2/scale'),
transformMat2: require('gl-vec2/transformMat2')
};
const mat2 = {
copy: require('gl-mat2/copy'),
create: require('gl-mat2/create'),
invert: require('gl-mat2/invert')
}
var _config,
_currentImageWrapper,
_skelImageWrapper,
_subImageWrapper,
_labelImageWrapper,
_patchGrid,
_patchLabelGrid,
_imageToPatchGrid,
_binaryImageWrapper,
_patchSize,
_canvasContainer = {
ctx: {
binary: null
},
dom: {
binary: null
}
},
_numPatches = {x: 0, y: 0},
_inputImageWrapper,
_skeletonizer;
function initBuffers() {
var skeletonImageData;
if (_config.halfSample) {
_currentImageWrapper = new ImageWrapper({
x: _inputImageWrapper.size.x / 2 | 0,
y: _inputImageWrapper.size.y / 2 | 0
});
} else {
_currentImageWrapper = _inputImageWrapper;
}
_patchSize = calculatePatchSize(_config.patchSize, _currentImageWrapper.size);
_numPatches.x = _currentImageWrapper.size.x / _patchSize.x | 0;
_numPatches.y = _currentImageWrapper.size.y / _patchSize.y | 0;
_binaryImageWrapper = new ImageWrapper(_currentImageWrapper.size, undefined, Uint8Array, false);
_labelImageWrapper = new ImageWrapper(_patchSize, undefined, Array, true);
skeletonImageData = new ArrayBuffer(64 * 1024);
_subImageWrapper = new ImageWrapper(_patchSize,
new Uint8Array(skeletonImageData, 0, _patchSize.x * _patchSize.y));
_skelImageWrapper = new ImageWrapper(_patchSize,
new Uint8Array(skeletonImageData, _patchSize.x * _patchSize.y * 3, _patchSize.x * _patchSize.y),
undefined, true);
_skeletonizer = skeletonizer((typeof window !== 'undefined') ? window : (typeof self !== 'undefined') ? self : global, {
size: _patchSize.x
}, skeletonImageData);
_imageToPatchGrid = new ImageWrapper({
x: (_currentImageWrapper.size.x / _subImageWrapper.size.x) | 0,
y: (_currentImageWrapper.size.y / _subImageWrapper.size.y) | 0
}, undefined, Array, true);
_patchGrid = new ImageWrapper(_imageToPatchGrid.size, undefined, undefined, true);
_patchLabelGrid = new ImageWrapper(_imageToPatchGrid.size, undefined, Int32Array, true);
}
function initCanvas() {
if (_config.useWorker || typeof document === 'undefined') {
return;
}
_canvasContainer.dom.binary = document.createElement("canvas");
_canvasContainer.dom.binary.className = "binaryBuffer";
if (ENV.development && _config.debug.showCanvas === true) {
document.querySelector("#debug").appendChild(_canvasContainer.dom.binary);
}
_canvasContainer.ctx.binary = _canvasContainer.dom.binary.getContext("2d");
_canvasContainer.dom.binary.width = _binaryImageWrapper.size.x;
_canvasContainer.dom.binary.height = _binaryImageWrapper.size.y;
}
/**
* Creates a bounding box which encloses all the given patches
* @returns {Array} The minimal bounding box
*/
function boxFromPatches(patches) {
var overAvg,
i,
j,
patch,
transMat,
minx =
_binaryImageWrapper.size.x,
miny = _binaryImageWrapper.size.y,
maxx = -_binaryImageWrapper.size.x,
maxy = -_binaryImageWrapper.size.y,
box,
scale;
// draw all patches which are to be taken into consideration
overAvg = 0;
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
overAvg += patch.rad;
if (ENV.development && _config.debug.showPatches) {
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary, {color: "red"});
}
}
overAvg /= patches.length;
overAvg = (overAvg * 180 / Math.PI + 90) % 180 - 90;
if (overAvg < 0) {
overAvg += 180;
}
overAvg = (180 - overAvg) * Math.PI / 180;
transMat = mat2.copy(mat2.create(), [Math.cos(overAvg), Math.sin(overAvg), -Math.sin(overAvg), Math.cos(overAvg)]);
// iterate over patches and rotate by angle
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
for ( j = 0; j < 4; j++) {
vec2.transformMat2(patch.box[j], patch.box[j], transMat);
}
if (ENV.development && _config.debug.boxFromPatches.showTransformed) {
ImageDebug.drawPath(patch.box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#99ff00', lineWidth: 2});
}
}
// find bounding box
for ( i = 0; i < patches.length; i++) {
patch = patches[i];
for ( j = 0; j < 4; j++) {
if (patch.box[j][0] < minx) {
minx = patch.box[j][0];
}
if (patch.box[j][0] > maxx) {
maxx = patch.box[j][0];
}
if (patch.box[j][1] < miny) {
miny = patch.box[j][1];
}
if (patch.box[j][1] > maxy) {
maxy = patch.box[j][1];
}
}
}
box = [[minx, miny], [maxx, miny], [maxx, maxy], [minx, maxy]];
if (ENV.development && _config.debug.boxFromPatches.showTransformedBox) {
ImageDebug.drawPath(box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#ff0000', lineWidth: 2});
}
scale = _config.halfSample ? 2 : 1;
// reverse rotation;
transMat = mat2.invert(transMat, transMat);
for ( j = 0; j < 4; j++) {
vec2.transformMat2(box[j], box[j], transMat);
}
if (ENV.development && _config.debug.boxFromPatches.showBB) {
ImageDebug.drawPath(box, {x: 0, y: 1}, _canvasContainer.ctx.binary, {color: '#ff0000', lineWidth: 2});
}
for ( j = 0; j < 4; j++) {
vec2.scale(box[j], box[j], scale);
}
return box;
}
/**
* Creates a binary image of the current image
*/
function binarizeImage() {
otsuThreshold(_currentImageWrapper, _binaryImageWrapper);
_binaryImageWrapper.zeroBorder();
if (ENV.development && _config.debug.showCanvas) {
_binaryImageWrapper.show(_canvasContainer.dom.binary, 255);
}
}
/**
* Iterate over the entire image
* extract patches
*/
function findPatches() {
var i,
j,
x,
y,
moments,
patchesFound = [],
rasterizer,
rasterResult,
patch;
for (i = 0; i < _numPatches.x; i++) {
for (j = 0; j < _numPatches.y; j++) {
x = _subImageWrapper.size.x * i;
y = _subImageWrapper.size.y * j;
// seperate parts
skeletonize(x, y);
// Rasterize, find individual bars
_skelImageWrapper.zeroBorder();
ArrayHelper.init(_labelImageWrapper.data, 0);
rasterizer = Rasterizer.create(_skelImageWrapper, _labelImageWrapper);
rasterResult = rasterizer.rasterize(0);
if (ENV.development && _config.debug.showLabels) {
_labelImageWrapper.overlay(_canvasContainer.dom.binary, Math.floor(360 / rasterResult.count),
{x: x, y: y});
}
// calculate moments from the skeletonized patch
moments = _labelImageWrapper.moments(rasterResult.count);
// extract eligible patches
patchesFound = patchesFound.concat(describePatch(moments, [i, j], x, y));
}
}
if (ENV.development && _config.debug.showFoundPatches) {
for ( i = 0; i < patchesFound.length; i++) {
patch = patchesFound[i];
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary,
{color: "#99ff00", lineWidth: 2});
}
}
return patchesFound;
}
/**
* Finds those connected areas which contain at least 6 patches
* and returns them ordered DESC by the number of contained patches
* @param {Number} maxLabel
*/
function findBiggestConnectedAreas(maxLabel){
var i,
sum,
labelHist = [],
topLabels = [];
for ( i = 0; i < maxLabel; i++) {
labelHist.push(0);
}
sum = _patchLabelGrid.data.length;
while (sum--) {
if (_patchLabelGrid.data[sum] > 0) {
labelHist[_patchLabelGrid.data[sum] - 1]++;
}
}
labelHist = labelHist.map(function(val, idx) {
return {
val: val,
label: idx + 1
};
});
labelHist.sort(function(a, b) {
return b.val - a.val;
});
// extract top areas with at least 6 patches present
topLabels = labelHist.filter(function(el) {
return el.val >= 5;
});
return topLabels;
}
/**
*
*/
function findBoxes(topLabels, maxLabel) {
var i,
j,
sum,
patches = [],
patch,
box,
boxes = [],
hsv = [0, 1, 1],
rgb = [0, 0, 0];
for ( i = 0; i < topLabels.length; i++) {
sum = _patchLabelGrid.data.length;
patches.length = 0;
while (sum--) {
if (_patchLabelGrid.data[sum] === topLabels[i].label) {
patch = _imageToPatchGrid.data[sum];
patches.push(patch);
}
}
box = boxFromPatches(patches);
if (box) {
boxes.push(box);
// draw patch-labels if requested
if (ENV.development && _config.debug.showRemainingPatchLabels) {
for ( j = 0; j < patches.length; j++) {
patch = patches[j];
hsv[0] = (topLabels[i].label / (maxLabel + 1)) * 360;
hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary,
{color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
}
}
}
return boxes;
}
/**
* Find similar moments (via cluster)
* @param {Object} moments
*/
function similarMoments(moments) {
var clusters = cluster(moments, 0.90);
var topCluster = topGeneric(clusters, 1, function(e) {
return e.getPoints().length;
});
var points = [], result = [];
if (topCluster.length === 1) {
points = topCluster[0].item.getPoints();
for (var i = 0; i < points.length; i++) {
result.push(points[i].point);
}
}
return result;
}
function skeletonize(x, y) {
_binaryImageWrapper.subImageAsCopy(_subImageWrapper, imageRef(x, y));
_skeletonizer.skeletonize();
// Show skeleton if requested
if (ENV.development && _config.debug.showSkeleton) {
_skelImageWrapper.overlay(_canvasContainer.dom.binary, 360, imageRef(x, y));
}
}
/**
* Extracts and describes those patches which seem to contain a barcode pattern
* @param {Array} moments
* @param {Object} patchPos,
* @param {Number} x
* @param {Number} y
* @returns {Array} list of patches
*/
function describePatch(moments, patchPos, x, y) {
var k,
avg,
eligibleMoments = [],
matchingMoments,
patch,
patchesFound = [],
minComponentWeight = Math.ceil(_patchSize.x / 3);
if (moments.length >= 2) {
// only collect moments which's area covers at least minComponentWeight pixels.
for ( k = 0; k < moments.length; k++) {
if (moments[k].m00 > minComponentWeight) {
eligibleMoments.push(moments[k]);
}
}
// if at least 2 moments are found which have at least minComponentWeights covered
if (eligibleMoments.length >= 2) {
matchingMoments = similarMoments(eligibleMoments);
avg = 0;
// determine the similarity of the moments
for ( k = 0; k < matchingMoments.length; k++) {
avg += matchingMoments[k].rad;
}
// Only two of the moments are allowed not to fit into the equation
// add the patch to the set
if (matchingMoments.length > 1
&& matchingMoments.length >= (eligibleMoments.length / 4) * 3
&& matchingMoments.length > moments.length / 4) {
avg /= matchingMoments.length;
patch = {
index: patchPos[1] * _numPatches.x + patchPos[0],
pos: {
x: x,
y: y
},
box: [
vec2.clone([x, y]),
vec2.clone([x + _subImageWrapper.size.x, y]),
vec2.clone([x + _subImageWrapper.size.x, y + _subImageWrapper.size.y]),
vec2.clone([x, y + _subImageWrapper.size.y])
],
moments: matchingMoments,
rad: avg,
vec: vec2.clone([Math.cos(avg), Math.sin(avg)])
};
patchesFound.push(patch);
}
}
}
return patchesFound;
}
/**
* finds patches which are connected and share the same orientation
* @param {Object} patchesFound
*/
function rasterizeAngularSimilarity(patchesFound) {
var label = 0,
threshold = 0.95,
currIdx = 0,
j,
patch,
hsv = [0, 1, 1],
rgb = [0, 0, 0];
function notYetProcessed() {
var i;
for ( i = 0; i < _patchLabelGrid.data.length; i++) {
if (_patchLabelGrid.data[i] === 0 && _patchGrid.data[i] === 1) {
return i;
}
}
return _patchLabelGrid.length;
}
function trace(currentIdx) {
var x,
y,
currentPatch,
idx,
dir,
current = {
x: currentIdx % _patchLabelGrid.size.x,
y: (currentIdx / _patchLabelGrid.size.x) | 0
},
similarity;
if (currentIdx < _patchLabelGrid.data.length) {
currentPatch = _imageToPatchGrid.data[currentIdx];
// assign label
_patchLabelGrid.data[currentIdx] = label;
for ( dir = 0; dir < Tracer.searchDirections.length; dir++) {
y = current.y + Tracer.searchDirections[dir][0];
x = current.x + Tracer.searchDirections[dir][1];
idx = y * _patchLabelGrid.size.x + x;
// continue if patch empty
if (_patchGrid.data[idx] === 0) {
_patchLabelGrid.data[idx] = Number.MAX_VALUE;
continue;
}
if (_patchLabelGrid.data[idx] === 0) {
similarity = Math.abs(vec2.dot(_imageToPatchGrid.data[idx].vec, currentPatch.vec));
if (similarity > threshold) {
trace(idx);
}
}
}
}
}
// prepare for finding the right patches
ArrayHelper.init(_patchGrid.data, 0);
ArrayHelper.init(_patchLabelGrid.data, 0);
ArrayHelper.init(_imageToPatchGrid.data, null);
for ( j = 0; j < patchesFound.length; j++) {
patch = patchesFound[j];
_imageToPatchGrid.data[patch.index] = patch;
_patchGrid.data[patch.index] = 1;
}
// rasterize the patches found to determine area
_patchGrid.zeroBorder();
while (( currIdx = notYetProcessed()) < _patchLabelGrid.data.length) {
label++;
trace(currIdx);
}
// draw patch-labels if requested
if (ENV.development && _config.debug.showPatchLabels) {
for ( j = 0; j < _patchLabelGrid.data.length; j++) {
if (_patchLabelGrid.data[j] > 0 && _patchLabelGrid.data[j] <= label) {
patch = _imageToPatchGrid.data[j];
hsv[0] = (_patchLabelGrid.data[j] / (label + 1)) * 360;
hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary,
{color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
}
}
return label;
}
export default {
init: function(inputImageWrapper, config) {
_config = config;
_inputImageWrapper = inputImageWrapper;
initBuffers();
initCanvas();
},
locate: function() {
var patchesFound,
topLabels,
boxes;
if (_config.halfSample) {
halfSample(_inputImageWrapper, _currentImageWrapper);
}
binarizeImage();
patchesFound = findPatches();
// return unless 5% or more patches are found
if (patchesFound.length < _numPatches.x * _numPatches.y * 0.05) {
return null;
}
// rasterrize area by comparing angular similarity;
var maxLabel = rasterizeAngularSimilarity(patchesFound);
if (maxLabel < 1) {
return null;
}
// search for area with the most patches (biggest connected area)
topLabels = findBiggestConnectedAreas(maxLabel);
if (topLabels.length === 0) {
return null;
}
boxes = findBoxes(topLabels, maxLabel);
return boxes;
},
checkImageConstraints: function(inputStream, config) {
var patchSize,
width = inputStream.getWidth(),
height = inputStream.getHeight(),
halfSample = config.halfSample ? 0.5 : 1,
size,
area;
// calculate width and height based on area
if (inputStream.getConfig().area) {
area = computeImageArea(width, height, inputStream.getConfig().area);
inputStream.setTopRight({x: area.sx, y: area.sy});
inputStream.setCanvasSize({x: width, y: height});
width = area.sw;
height = area.sh;
}
size = {
x: Math.floor(width * halfSample),
y: Math.floor(height * halfSample)
};
patchSize = calculatePatchSize(config.patchSize, size);
if (ENV.development) {
console.log("Patch-Size: " + JSON.stringify(patchSize));
}
inputStream.setWidth(Math.floor(Math.floor(size.x / patchSize.x) * (1 / halfSample) * patchSize.x));
inputStream.setHeight(Math.floor(Math.floor(size.y / patchSize.y) * (1 / halfSample) * patchSize.y));
if ((inputStream.getWidth() % patchSize.x) === 0 && (inputStream.getHeight() % patchSize.y) === 0) {
return true;
}
throw new Error("Image dimensions do not comply with the current settings: Width (" +
width + " )and height (" + height +
") must a multiple of " + patchSize.x);
}
};

@ -1,195 +0,0 @@
import Tracer from './tracer';
/**
* http://www.codeproject.com/Tips/407172/Connected-Component-Labeling-and-Vectorization
*/
var Rasterizer = {
createContour2D: function() {
return {
dir: null,
index: null,
firstVertex: null,
insideContours: null,
nextpeer: null,
prevpeer: null
};
},
CONTOUR_DIR: {
CW_DIR: 0,
CCW_DIR: 1,
UNKNOWN_DIR: 2
},
DIR: {
OUTSIDE_EDGE: -32767,
INSIDE_EDGE: -32766
},
create: function(imageWrapper, labelWrapper) {
var imageData = imageWrapper.data,
labelData = labelWrapper.data,
width = imageWrapper.size.x,
height = imageWrapper.size.y,
tracer = Tracer.create(imageWrapper, labelWrapper);
return {
rasterize: function(depthlabel) {
var color,
bc,
lc,
labelindex,
cx,
cy,
colorMap = [],
vertex,
p,
cc,
sc,
pos,
connectedCount = 0,
i;
for ( i = 0; i < 400; i++) {
colorMap[i] = 0;
}
colorMap[0] = imageData[0];
cc = null;
for ( cy = 1; cy < height - 1; cy++) {
labelindex = 0;
bc = colorMap[0];
for ( cx = 1; cx < width - 1; cx++) {
pos = cy * width + cx;
if (labelData[pos] === 0) {
color = imageData[pos];
if (color !== bc) {
if (labelindex === 0) {
lc = connectedCount + 1;
colorMap[lc] = color;
bc = color;
vertex = tracer.contourTracing(cy, cx, lc, color, Rasterizer.DIR.OUTSIDE_EDGE);
if (vertex !== null) {
connectedCount++;
labelindex = lc;
p = Rasterizer.createContour2D();
p.dir = Rasterizer.CONTOUR_DIR.CW_DIR;
p.index = labelindex;
p.firstVertex = vertex;
p.nextpeer = cc;
p.insideContours = null;
if (cc !== null) {
cc.prevpeer = p;
}
cc = p;
}
} else {
vertex = tracer
.contourTracing(cy, cx, Rasterizer.DIR.INSIDE_EDGE, color, labelindex);
if (vertex !== null) {
p = Rasterizer.createContour2D();
p.firstVertex = vertex;
p.insideContours = null;
if (depthlabel === 0) {
p.dir = Rasterizer.CONTOUR_DIR.CCW_DIR;
} else {
p.dir = Rasterizer.CONTOUR_DIR.CW_DIR;
}
p.index = depthlabel;
sc = cc;
while ((sc !== null) && sc.index !== labelindex) {
sc = sc.nextpeer;
}
if (sc !== null) {
p.nextpeer = sc.insideContours;
if (sc.insideContours !== null) {
sc.insideContours.prevpeer = p;
}
sc.insideContours = p;
}
}
}
} else {
labelData[pos] = labelindex;
}
} else if (labelData[pos] === Rasterizer.DIR.OUTSIDE_EDGE
|| labelData[pos] === Rasterizer.DIR.INSIDE_EDGE) {
labelindex = 0;
if (labelData[pos] === Rasterizer.DIR.INSIDE_EDGE) {
bc = imageData[pos];
} else {
bc = colorMap[0];
}
} else {
labelindex = labelData[pos];
bc = colorMap[labelindex];
}
}
}
sc = cc;
while (sc !== null) {
sc.index = depthlabel;
sc = sc.nextpeer;
}
return {
cc: cc,
count: connectedCount
};
},
debug: {
drawContour: function(canvas, firstContour) {
var ctx = canvas.getContext("2d"),
pq = firstContour,
iq,
q,
p;
ctx.strokeStyle = "red";
ctx.fillStyle = "red";
ctx.lineWidth = 1;
if (pq !== null) {
iq = pq.insideContours;
} else {
iq = null;
}
while (pq !== null) {
if (iq !== null) {
q = iq;
iq = iq.nextpeer;
} else {
q = pq;
pq = pq.nextpeer;
if (pq !== null) {
iq = pq.insideContours;
} else {
iq = null;
}
}
switch (q.dir) {
case Rasterizer.CONTOUR_DIR.CW_DIR:
ctx.strokeStyle = "red";
break;
case Rasterizer.CONTOUR_DIR.CCW_DIR:
ctx.strokeStyle = "blue";
break;
case Rasterizer.CONTOUR_DIR.UNKNOWN_DIR:
ctx.strokeStyle = "green";
break;
}
p = q.firstVertex;
ctx.beginPath();
ctx.moveTo(p.x, p.y);
do {
p = p.next;
ctx.lineTo(p.x, p.y);
} while (p !== q.firstVertex);
ctx.stroke();
}
}
}
};
}
};
export default Rasterizer;

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