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This commit is contained in:
Christoph Oberhofer
2016-03-29 12:08:57 +02:00
parent ce81e9169c
commit da08ae3eaf
27 changed files with 268 additions and 196 deletions
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src/common/cluster.js
+4 -1
View File
@@ -1,4 +1,7 @@
import {vec2} from 'gl-matrix';
const vec2 = {
clone: require('gl-vec2/clone'),
dot: require('gl-vec2/dot')
}
/**
* Creates a cluster for grouping similar orientations of datapoints
*/
src/common/cv_utils.js
+52 -51
View File
@@ -1,15 +1,18 @@
import Cluster2 from './cluster';
import ArrayHelper from './array_helper';
import {vec2, vec3} from 'gl-matrix';
var CVUtils = {};
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
*/
CVUtils.imageRef = function(x, y) {
export function imageRef(x, y) {
var that = {
x: x,
y: y,
@@ -32,7 +35,7 @@ CVUtils.imageRef = function(x, y) {
* Computes an integral image of a given grayscale image.
* @param imageDataContainer {ImageDataContainer} the image to be integrated
*/
CVUtils.computeIntegralImage2 = function(imageWrapper, integralWrapper) {
export function computeIntegralImage2(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
@@ -75,7 +78,7 @@ CVUtils.computeIntegralImage2 = function(imageWrapper, integralWrapper) {
}
};
CVUtils.computeIntegralImage = function(imageWrapper, integralWrapper) {
export function computeIntegralImage(imageWrapper, integralWrapper) {
var imageData = imageWrapper.data;
var width = imageWrapper.size.x;
var height = imageWrapper.size.y;
@@ -97,7 +100,7 @@ CVUtils.computeIntegralImage = function(imageWrapper, integralWrapper) {
}
};
CVUtils.thresholdImage = function(imageWrapper, threshold, targetWrapper) {
export function thresholdImage(imageWrapper, threshold, targetWrapper) {
if (!targetWrapper) {
targetWrapper = imageWrapper;
}
@@ -108,7 +111,7 @@ CVUtils.thresholdImage = function(imageWrapper, threshold, targetWrapper) {
}
};
CVUtils.computeHistogram = function(imageWrapper, bitsPerPixel) {
export function computeHistogram(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
@@ -124,7 +127,7 @@ CVUtils.computeHistogram = function(imageWrapper, bitsPerPixel) {
return hist;
};
CVUtils.sharpenLine = function(line) {
export function sharpenLine(line) {
var i,
length = line.length,
left = line[0],
@@ -141,7 +144,7 @@ CVUtils.sharpenLine = function(line) {
return line;
};
CVUtils.determineOtsuThreshold = function(imageWrapper, bitsPerPixel) {
export function determineOtsuThreshold(imageWrapper, bitsPerPixel) {
if (!bitsPerPixel) {
bitsPerPixel = 8;
}
@@ -171,7 +174,7 @@ CVUtils.determineOtsuThreshold = function(imageWrapper, bitsPerPixel) {
var vet = [0], p1, p2, p12, k, m1, m2, m12,
max = (1 << bitsPerPixel) - 1;
hist = CVUtils.computeHistogram(imageWrapper, bitsPerPixel);
hist = computeHistogram(imageWrapper, bitsPerPixel);
for ( k = 1; k < max; k++) {
p1 = px(0, k);
p2 = px(k + 1, max);
@@ -191,16 +194,16 @@ CVUtils.determineOtsuThreshold = function(imageWrapper, bitsPerPixel) {
return threshold << bitShift;
};
CVUtils.otsuThreshold = function(imageWrapper, targetWrapper) {
var threshold = CVUtils.determineOtsuThreshold(imageWrapper);
export function otsuThreshold(imageWrapper, targetWrapper) {
var threshold = determineOtsuThreshold(imageWrapper);
CVUtils.thresholdImage(imageWrapper, threshold, targetWrapper);
thresholdImage(imageWrapper, threshold, targetWrapper);
return threshold;
};
// local thresholding
CVUtils.computeBinaryImage = function(imageWrapper, integralWrapper, targetWrapper) {
CVUtils.computeIntegralImage(imageWrapper, integralWrapper);
export function computeBinaryImage(imageWrapper, integralWrapper, targetWrapper) {
computeIntegralImage(imageWrapper, integralWrapper);
if (!targetWrapper) {
targetWrapper = imageWrapper;
@@ -241,7 +244,7 @@ CVUtils.computeBinaryImage = function(imageWrapper, integralWrapper, targetWrapp
}
};
CVUtils.cluster = function(points, threshold, property) {
export function cluster(points, threshold, property) {
var i, k, cluster, point, clusters = [];
if (!property) {
@@ -270,7 +273,7 @@ CVUtils.cluster = function(points, threshold, property) {
return clusters;
};
CVUtils.Tracer = {
export const Tracer = {
trace: function(points, vec) {
var iteration, maxIterations = 10, top = [], result = [], centerPos = 0, currentPos = 0;
@@ -340,10 +343,10 @@ CVUtils.Tracer = {
}
};
CVUtils.DILATE = 1;
CVUtils.ERODE = 2;
export const DILATE = 1;
export const ERODE = 2;
CVUtils.dilate = function(inImageWrapper, outImageWrapper) {
export function dilate(inImageWrapper, outImageWrapper) {
var v,
u,
inImageData = inImageWrapper.data,
@@ -370,7 +373,7 @@ CVUtils.dilate = function(inImageWrapper, outImageWrapper) {
}
};
CVUtils.erode = function(inImageWrapper, outImageWrapper) {
export function erode(inImageWrapper, outImageWrapper) {
var v,
u,
inImageData = inImageWrapper.data,
@@ -397,7 +400,7 @@ CVUtils.erode = function(inImageWrapper, outImageWrapper) {
}
};
CVUtils.subtract = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
export function subtract(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
@@ -411,7 +414,7 @@ CVUtils.subtract = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
}
};
CVUtils.bitwiseOr = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
export function bitwiseOr(aImageWrapper, bImageWrapper, resultImageWrapper) {
if (!resultImageWrapper) {
resultImageWrapper = aImageWrapper;
}
@@ -425,7 +428,7 @@ CVUtils.bitwiseOr = function(aImageWrapper, bImageWrapper, resultImageWrapper) {
}
};
CVUtils.countNonZero = function(imageWrapper) {
export function countNonZero(imageWrapper) {
var length = imageWrapper.data.length, data = imageWrapper.data, sum = 0;
while (length--) {
@@ -434,7 +437,7 @@ CVUtils.countNonZero = function(imageWrapper) {
return sum;
};
CVUtils.topGeneric = function(list, top, scoreFunc) {
export function topGeneric(list, top, scoreFunc) {
var i, minIdx = 0, min = 0, queue = [], score, hit, pos;
for ( i = 0; i < top; i++) {
@@ -463,18 +466,18 @@ CVUtils.topGeneric = function(list, top, scoreFunc) {
return queue;
};
CVUtils.grayArrayFromImage = function(htmlImage, offsetX, ctx, array) {
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;
CVUtils.computeGray(ctxData, array);
computeGray(ctxData, array);
};
CVUtils.grayArrayFromContext = function(ctx, size, offset, array) {
export function grayArrayFromContext(ctx, size, offset, array) {
var ctxData = ctx.getImageData(offset.x, offset.y, size.x, size.y).data;
CVUtils.computeGray(ctxData, array);
computeGray(ctxData, array);
};
CVUtils.grayAndHalfSampleFromCanvasData = function(canvasData, size, outArray) {
export function grayAndHalfSampleFromCanvasData(canvasData, size, outArray) {
var topRowIdx = 0;
var bottomRowIdx = size.x;
var endIdx = Math.floor(canvasData.length / 4);
@@ -507,7 +510,7 @@ CVUtils.grayAndHalfSampleFromCanvasData = function(canvasData, size, outArray) {
}
};
CVUtils.computeGray = function(imageData, outArray, config) {
export function computeGray(imageData, outArray, config) {
var l = (imageData.length / 4) | 0,
i,
singleChannel = config && config.singleChannel === true;
@@ -524,7 +527,7 @@ CVUtils.computeGray = function(imageData, outArray, config) {
}
};
CVUtils.loadImageArray = function(src, callback, canvas) {
export function loadImageArray(src, callback, canvas) {
if (!canvas) {
canvas = document.createElement('canvas');
}
@@ -538,7 +541,7 @@ CVUtils.loadImageArray = function(src, callback, canvas) {
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);
computeGray(data, array);
this.callback(array, {
x: this.width,
y: this.height
@@ -551,7 +554,7 @@ CVUtils.loadImageArray = function(src, callback, canvas) {
* @param inImg {ImageWrapper} input image to be sampled
* @param outImg {ImageWrapper} to be stored in
*/
CVUtils.halfSample = function(inImgWrapper, outImgWrapper) {
export function halfSample(inImgWrapper, outImgWrapper) {
var inImg = inImgWrapper.data;
var inWidth = inImgWrapper.size.x;
var outImg = outImgWrapper.data;
@@ -573,7 +576,7 @@ CVUtils.halfSample = function(inImgWrapper, outImgWrapper) {
}
};
CVUtils.hsv2rgb = function(hsv, rgb) {
export function hsv2rgb(hsv, rgb) {
var h = hsv[0],
s = hsv[1],
v = hsv[2],
@@ -611,7 +614,7 @@ CVUtils.hsv2rgb = function(hsv, rgb) {
return rgb;
};
CVUtils._computeDivisors = function(n) {
export function _computeDivisors(n) {
var largeDivisors = [],
divisors = [],
i;
@@ -627,7 +630,7 @@ CVUtils._computeDivisors = function(n) {
return divisors.concat(largeDivisors);
};
CVUtils._computeIntersection = function(arr1, arr2) {
function _computeIntersection(arr1, arr2) {
var i = 0,
j = 0,
result = [];
@@ -646,11 +649,11 @@ CVUtils._computeIntersection = function(arr1, arr2) {
return result;
};
CVUtils.calculatePatchSize = function(patchSize, imgSize) {
var divisorsX = this._computeDivisors(imgSize.x),
divisorsY = this._computeDivisors(imgSize.y),
export function calculatePatchSize(patchSize, imgSize) {
var divisorsX = _computeDivisors(imgSize.x),
divisorsY = _computeDivisors(imgSize.y),
wideSide = Math.max(imgSize.x, imgSize.y),
common = this._computeIntersection(divisorsX, divisorsY),
common = _computeIntersection(divisorsX, divisorsY),
nrOfPatchesList = [8, 10, 15, 20, 32, 60, 80],
nrOfPatchesMap = {
"x-small": 5,
@@ -687,15 +690,15 @@ CVUtils.calculatePatchSize = function(patchSize, imgSize) {
optimalPatchSize = findPatchSizeForDivisors(common);
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors(this._computeDivisors(wideSide));
optimalPatchSize = findPatchSizeForDivisors(_computeDivisors(wideSide));
if (!optimalPatchSize) {
optimalPatchSize = findPatchSizeForDivisors((this._computeDivisors(desiredPatchSize * nrOfPatches)));
optimalPatchSize = findPatchSizeForDivisors((_computeDivisors(desiredPatchSize * nrOfPatches)));
}
}
return optimalPatchSize;
};
CVUtils._parseCSSDimensionValues = function(value) {
export function _parseCSSDimensionValues(value) {
var dimension = {
value: parseFloat(value),
unit: value.indexOf("%") === value.length - 1 ? "%" : "%"
@@ -704,7 +707,7 @@ CVUtils._parseCSSDimensionValues = function(value) {
return dimension;
};
CVUtils._dimensionsConverters = {
export const _dimensionsConverters = {
top: function(dimension, context) {
if (dimension.unit === "%") {
return Math.floor(context.height * (dimension.value / 100));
@@ -727,13 +730,13 @@ CVUtils._dimensionsConverters = {
}
};
CVUtils.computeImageArea = function(inputWidth, inputHeight, area) {
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 = CVUtils._parseCSSDimensionValues(value),
calculated = CVUtils._dimensionsConverters[key](parsed, context);
parsed = _parseCSSDimensionValues(value),
calculated = _dimensionsConverters[key](parsed, context);
result[key] = calculated;
return result;
@@ -746,5 +749,3 @@ CVUtils.computeImageArea = function(inputWidth, inputHeight, area) {
sh: parsedArea.bottom - parsedArea.top
};
};
export default CVUtils;
src/common/image_wrapper.js
+5 -3
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@@ -1,7 +1,9 @@
import SubImage from './subImage';
import CVUtils from '../common/cv_utils';
import {hsv2rgb} from '../common/cv_utils';
import ArrayHelper from '../common/array_helper';
import {vec2} from 'gl-matrix';
const vec2 = {
clone: require('gl-vec2/clone'),
};
/**
* Represents a basic image combining the data and size.
@@ -335,7 +337,7 @@ ImageWrapper.prototype.overlay = function(canvas, scale, from) {
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);
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];
src/decoder/bresenham.js
-15
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@@ -1,4 +1,3 @@
import CVUtils from '../common/cv_utils';
import ImageWrapper from '../common/image_wrapper';
var Bresenham = {};
@@ -90,20 +89,6 @@ Bresenham.getBarcodeLine = function(imageWrapper, p1, p2) {
};
};
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
src/input/camera_access.js
+1 -3
View File
@@ -1,6 +1,4 @@
const merge = require('lodash/object/merge');
const pick = require('lodash/object/pick');
const mapKeys = require('lodash/object/mapKeys');
import {merge, pick} from 'lodash';
var streamRef,
loadedDataHandler;
src/input/frame_grabber.js
+9 -5
View File
@@ -1,13 +1,17 @@
import CVUtils from '../common/cv_utils';
import {
imageRef,
grayAndHalfSampleFromCanvasData,
computeGray
} from '../common/cv_utils';
var FrameGrabber = {};
FrameGrabber.create = function(inputStream, canvas) {
var _that = {},
_streamConfig = inputStream.getConfig(),
_video_size = CVUtils.imageRef(inputStream.getRealWidth(), inputStream.getRealHeight()),
_video_size = imageRef(inputStream.getRealWidth(), inputStream.getRealHeight()),
_canvasSize = inputStream.getCanvasSize(),
_size = CVUtils.imageRef(inputStream.getWidth(), inputStream.getHeight()),
_size = imageRef(inputStream.getWidth(), inputStream.getHeight()),
topRight = inputStream.getTopRight(),
_sx = topRight.x,
_sy = topRight.y,
@@ -55,9 +59,9 @@ FrameGrabber.create = function(inputStream, canvas) {
_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);
grayAndHalfSampleFromCanvasData(ctxData, _size, _data);
} else {
CVUtils.computeGray(ctxData, _data, _streamConfig);
computeGray(ctxData, _data, _streamConfig);
}
return true;
} else {
src/locator/barcode_locator.js
+33 -14
View File
@@ -1,11 +1,30 @@
import ImageWrapper from '../common/image_wrapper';
import CVUtils from '../common/cv_utils';
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';
import {vec2, mat2} from 'gl-matrix';
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,
@@ -41,7 +60,7 @@ function initBuffers() {
_currentImageWrapper = _inputImageWrapper;
}
_patchSize = CVUtils.calculatePatchSize(_config.patchSize, _currentImageWrapper.size);
_patchSize = calculatePatchSize(_config.patchSize, _currentImageWrapper.size);
_numPatches.x = _currentImageWrapper.size.x / _patchSize.x | 0;
_numPatches.y = _currentImageWrapper.size.y / _patchSize.y | 0;
@@ -117,7 +136,7 @@ function boxFromPatches(patches) {
}
overAvg = (180 - overAvg) * Math.PI / 180;
transMat = mat2.clone([Math.cos(overAvg), Math.sin(overAvg), -Math.sin(overAvg), Math.cos(overAvg)]);
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++) {
@@ -178,7 +197,7 @@ function boxFromPatches(patches) {
* Creates a binary image of the current image
*/
function binarizeImage() {
CVUtils.otsuThreshold(_currentImageWrapper, _binaryImageWrapper);
otsuThreshold(_currentImageWrapper, _binaryImageWrapper);
_binaryImageWrapper.zeroBorder();
if (_config.showCanvas) {
_binaryImageWrapper.show(_canvasContainer.dom.binary, 255);
@@ -309,7 +328,7 @@ function findBoxes(topLabels, maxLabel) {
for ( j = 0; j < patches.length; j++) {
patch = patches[j];
hsv[0] = (topLabels[i].label / (maxLabel + 1)) * 360;
CVUtils.hsv2rgb(hsv, rgb);
hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary,
{color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
@@ -324,8 +343,8 @@ function findBoxes(topLabels, maxLabel) {
* @param {Object} moments
*/
function similarMoments(moments) {
var clusters = CVUtils.cluster(moments, 0.90);
var topCluster = CVUtils.topGeneric(clusters, 1, function(e) {
var clusters = cluster(moments, 0.90);
var topCluster = topGeneric(clusters, 1, function(e) {
return e.getPoints().length;
});
var points = [], result = [];
@@ -339,12 +358,12 @@ function similarMoments(moments) {
}
function skeletonize(x, y) {
_binaryImageWrapper.subImageAsCopy(_subImageWrapper, CVUtils.imageRef(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, CVUtils.imageRef(x, y));
_skelImageWrapper.overlay(_canvasContainer.dom.binary, 360, imageRef(x, y));
}
}
@@ -496,7 +515,7 @@ function rasterizeAngularSimilarity(patchesFound) {
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);
hsv2rgb(hsv, rgb);
ImageDebug.drawRect(patch.pos, _subImageWrapper.size, _canvasContainer.ctx.binary,
{color: "rgb(" + rgb.join(",") + ")", lineWidth: 2});
}
@@ -521,7 +540,7 @@ export default {
boxes;
if (_config.halfSample) {
CVUtils.halfSample(_inputImageWrapper, _currentImageWrapper);
halfSample(_inputImageWrapper, _currentImageWrapper);
}
binarizeImage();
@@ -557,7 +576,7 @@ export default {
// calculate width and height based on area
if (inputStream.getConfig().area) {
area = CVUtils.computeImageArea(width, height, 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;
@@ -569,7 +588,7 @@ export default {
y: Math.floor(height * halfSample)
};
patchSize = CVUtils.calculatePatchSize(config.patchSize, size);
patchSize = calculatePatchSize(config.patchSize, size);
if (ENV.development) {
console.log("Patch-Size: " + JSON.stringify(patchSize));
}
src/locator/skeletonizer.js
+1 -3
View File
@@ -198,12 +198,10 @@ function Skeletonizer(stdlib, foreign, buffer) {
done = ((sum | 0) == 0 | 0);
} while (!done);
}
return {
skeletonize: skeletonize
};
}
/* @preserve ASM END */
export default Skeletonizer;
/* eslint-enable eqeqeq*/
/* @preserve ASM END */
src/quagga.js
+5 -4
View File
@@ -6,13 +6,14 @@ import BarcodeDecoder from './decoder/barcode_decoder';
import Events from './common/events';
import CameraAccess from './input/camera_access';
import ImageDebug from './common/image_debug';
import {vec2} from 'gl-matrix';
import ResultCollector from './analytics/result_collector';
import Config from './config/config';
import InputStream from 'input_stream';
import FrameGrabber from 'frame_grabber';
const merge = require('lodash/object/merge');
import {merge} from 'lodash';
const vec2 = {
clone: require('gl-vec2/clone')
};
var _inputStream,
_framegrabber,
@@ -364,7 +365,7 @@ function initWorker(cb) {
function workerInterface(factory) {
/* eslint-disable no-undef*/
if (factory) {
var Quagga = factory();
var Quagga = factory().default;
if (!Quagga) {
self.postMessage({'event': 'error', message: 'Quagga could not be created'});
return;
src/reader/i2of5_reader.js
+1 -1
View File
@@ -1,5 +1,5 @@
import BarcodeReader from './barcode_reader';
const merge = require('lodash/object/merge');
import {merge} from 'lodash';
function I2of5Reader(opts) {
opts = merge(getDefaulConfig(), opts);