GTimothee

img_path = outDirPath + 'images/' + imgName
img = cv2.imread(img_path, cv2.IMREAD_COLOR)

'''FIRST VERSION'''
mask = cv2.cvtColor(mask, cv2.COLOR_RGB2GRAY)
dest = cv2.bitwise_and(img, img, mask = mask)

for coordinates in coordinatesList:
        coords = coordinates[:len(coordinates)-1]
        #ANCIEN

GTimothee

from os import walk

f = []
for (dirpath, dirnames, filenames) in walk(mypath):
    f.extend(filenames)
    break

GTimothee

try:
        os.chdir(datasetPath)
        zipf = zipfile.ZipFile('./../pascal_voc_dataset.zip', 'a', zipfile.ZIP_DEFLATED)
        zipdir('ImageSets/', zipf)
        zipdir('JPEGImages/', zipf)
        zipdir('SegmentationClass/', zipf)
        zipf.close()
        os.chdir('../')
        print('[INFO] Archive successfully built.')
    except:

GTimothee

base = os.path.basename(imagePath)
fileName = os.path.splitext(base)[0]

os.path.isdir(dataPath)
shutil.copyfile(imagePath, newImgPath)
os.makedirs(datasetPath)

if os.path.isdir(datasetPath):
  shutil.rmtree(datasetPath, ignore_errors=True)

GTimothee

if __name__ == "__main__":
    with open('somefile.txt', 'a') as the_file:
        the_file.write('Hello\n')

GTimothee

import argparse

def manage_args():
    parser = argparse.ArgumentParser()
    #positional args
    parser.add_argument("input_img", help="input image which mask has been computed", type=str)
    parser.add_argument("input_mask", help="semantic segmentation mask computed from the input image", type=str)
    parser.add_argument("output_dir", help="output directory where the result will be saved", type=str)
    
    '''