label_images.py
0a3dbd2fe33eDan_master_thesis

label_images.py
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			from crop import *
			from imutils import paths
			import argparse
			import os

			parser = argparse.ArgumentParser(description='Labeling tools')
			parser.add_argument('--dir', help='Directory containing the images')
			parser.add_argument('--batch_size', type=int, help='Number of images to be processed\
			starting from 0')

			args = vars(parser.parse_args())
			imagePaths = sorted([os.path.join(args['dir'], f) for f in os.listdir(args['dir']) \
			if os.path.isfile(os.path.join(args['dir'], f))])
			#imagePaths = sorted(list(paths.list_images(args["dir"])))

			imagedir = imagePaths[0].split(os.path.sep)
			imagedir = os.sep.join(imagedir[:-1])
			PV_dir = imagedir + '/PV'
			PV_label_dir = imagedir + '/PV'+'/labels'
			NOPV_dir = imagedir + '/noPV'

			#Create the directories if they do not exist
			if not os.path.exists(PV_dir):
			os.makedirs(PV_dir)
			if not os.path.exists(PV_label_dir):
			os.makedirs(PV_label_dir)
			if not os.path.exists(NOPV_dir):
			os.makedirs(NOPV_dir)


			for image in imagePaths[0:args["batch_size"]]:
			# _ = input('Do you want to quit?')
			# if _ == 'y':
			# break
			# else:
			if(not image.endswith('.DS_Store')):
			print(image)
			crop = Crop(image)
			crop.do_crop()