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59 lines
2.1 KiB
Python

import os
import hyperlpr.detect as hyperDetect
import hyperlpr.config as hyperConfig
import cv2
import argparse
import sys
parser = argparse.ArgumentParser()
debugInfo = hyperConfig.configuration["global"]["debug"]
testPath = hyperConfig.configuration["detectTest"]["detectPath"]
outPath = hyperConfig.configuration["detectTest"]["outputPath"]
def drawBoundingBox(originImage,rect):
cv2.rectangle(originImage, (int(rect[0]), int(rect[1])), (int(rect[0] + rect[2]), int(rect[1] + rect[3])), (0, 0, 255), 2,
cv2.LINE_AA)
return originImage
#detect Plate in image batch
def detectPlateBatchTest(filepath):
for filename in os.listdir(filepath):
if filename.endswith(".jpg") or filename.endswith(".png"):
fileFullPath = os.path.join(filepath,filename)
image = cv2.imread(fileFullPath)
image_c = image.copy()
Plates = hyperDetect.detectPlateRough(image_c, image_c.shape[0], top_bottom_padding_rate=0.1)
pathName = filename.split('.')[0]
if debugInfo:
if len(Plates) != 0:
if os.path.exists(os.path.join(outPath,pathName)) == False:
os.mkdir(os.path.join(outPath,pathName))
for i,plate in enumerate(Plates):
rect = plate[1]
region = plate[2]
if debugInfo:
cv2.imwrite(os.path.join(outPath,pathName,"region_"+str(i)+"_"+pathName+".png"),region)
drawBoundingBox(image_c,rect)
if debugInfo:
cv2.imwrite(os.path.join(outPath,pathName,"out_"+pathName+".png"),image_c)
def main(args):
if args.type == 'batch':
detectPlateBatchTest(testPath)
else:
print "type: "+args.type+" not found!\n"
print parser.print_help()
def parse_arguments(argv):
parser.add_argument('--type',type=str,help='detect Plate type{batch},default is batch',default='batch')
return parser.parse_args(argv)
if __name__ == "__main__":
main(parse_arguments(sys.argv[1:]))
#detectPlateBatchTest(testPath)