def __list_dirs(self, root_dir, dataset):
img_list = list()
label_list = list()
image_dir = os.path.join(root_dir, dataset, 'image')
label_dir = os.path.join(root_dir, dataset, 'label')
for file_name in os.listdir(label_dir):
image_name = '.'.join(file_name.split('.')[:-1])
label_path = os.path.join(label_dir, file_name)
img_path = ImageHelper.imgpath(image_dir, image_name)
if not os.path.exists(label_path) or img_path is None:
Log.warn('Label Path: {} not exists.'.format(label_path))
continue
img_list.append(img_path)
label_list.append(label_path)
if dataset == 'train' and self.configer.get('data', 'include_val'):
image_dir = os.path.join(root_dir, 'val/image')
label_dir = os.path.join(root_dir, 'val/label')
for file_name in os.listdir(label_dir):
image_name = '.'.join(file_name.split('.')[:-1])
label_path = os.path.join(label_dir, file_name)
img_path = ImageHelper.imgpath(image_dir, image_name)
if not os.path.exists(label_path) or img_path is None:
Log.warn('Label Path: {} not exists.'.format(label_path))
continue
img_list.append(img_path)
label_list.append(label_path)
return img_list, label_list
def __list_dirs(self, root_dir, dataset):
imgA_list = list()
imgB_list = list()
imageA_dir = os.path.join(root_dir, dataset, 'imageA')
imageB_dir = os.path.join(root_dir, dataset, 'imageB')
for file_name in os.listdir(imageA_dir):
image_name = '.'.join(file_name.split('.')[:-1])
imgA_path = ImageHelper.imgpath(imageA_dir, image_name)
imgB_path = ImageHelper.imgpath(imageB_dir, image_name)
if not os.path.exists(imgA_path) or not os.path.exists(imgB_path):
Log.warn('Img Path: {} not exists.'.format(imgA_path))
continue
imgA_list.append(imgA_path)
imgB_list.append(imgB_path)
if dataset == 'train' and self.configer.get('data', 'include_val'):
imageA_dir = os.path.join(root_dir, 'val/imageA')
imageB_dir = os.path.join(root_dir, 'val/imageB')
for file_name in os.listdir(imageA_dir):
image_name = '.'.join(file_name.split('.')[:-1])
imgA_path = ImageHelper.imgpath(imageA_dir, image_name)
imgB_path = ImageHelper.imgpath(imageB_dir, image_name)
if not os.path.exists(imgA_path) or not os.path.exists(
imgB_path):
Log.warn('Img Path: {} not exists.'.format(imgA_path))
continue
imgA_list.append(imgA_path)
imgB_list.append(imgB_path)
return imgA_list, imgB_list
def __list_dirs(self, root_dir, dataset):
img_list = list()
json_list = list()
mask_list = list()
image_dir = os.path.join(root_dir, dataset, 'image')
json_dir = os.path.join(root_dir, dataset, 'json')
mask_dir = os.path.join(root_dir, dataset, 'mask')
for file_name in os.listdir(json_dir):
image_name = '.'.join(file_name.split('.')[:-1])
mask_path = os.path.join(mask_dir, '{}.png'.format(image_name))
img_path = ImageHelper.imgpath(image_dir, image_name)
json_path = os.path.join(json_dir, file_name)
if not os.path.exists(json_path) or img_path is None:
Log.warn('Json Path: {} not exists.'.format(json_path))
continue
json_list.append(json_path)
mask_list.append(mask_path)
img_list.append(img_path)
if dataset == 'train' and self.configer.get('data', 'include_val'):
image_dir = os.path.join(root_dir, 'val/image')
json_dir = os.path.join(root_dir, 'val/json')
mask_dir = os.path.join(root_dir, 'val/mask')
for file_name in os.listdir(json_dir):
image_name = '.'.join(file_name.split('.')[:-1])
mask_path = os.path.join(mask_dir, '{}.png'.format(image_name))
img_path = ImageHelper.imgpath(image_dir, image_name)
json_path = os.path.join(json_dir, file_name)
if not os.path.exists(json_path) or img_path is None:
Log.warn('Json Path: {} not exists.'.format(json_path))
continue
json_list.append(json_path)
mask_list.append(mask_path)
img_list.append(img_path)
return img_list, json_list, mask_list