logging.info(tl_expt.string_dict(params, desc='PARAMETERS'))
list_img_paths = sorted(
[p for p in glob.glob(params['path_images']) if os.path.isfile(p)])
logging.info('found images: %i' % len(list_img_paths))
if not os.path.isdir(params['path_output']):
os.mkdir(params['path_output'])
img_mean = compute_mean_image(list_img_paths)
_wrapper_object = partial(perform_orientation_swap,
path_out=params['path_output'],
img_template=img_mean)
dir_name = os.path.dirname(params['path_images'])
iterate = tl_expt.WrapExecuteSequence(_wrapper_object,
list_img_paths,
nb_jobs=params['nb_jobs'],
desc=dir_name)
list(iterate)
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
logging.info('running...')
params = r_match.arg_parse_params(DEFAULT_PARAMS)
main(params)
logging.info('DONE')
:param {str: str} params:
"""
logging.info('running...')
logging.info(tl_expt.string_dict(params, desc='PARAMETERS'))
list_imgs = sorted(
[p for p in glob.glob(params['path_images']) if os.path.isfile(p)])
logging.info('found images: %i' % len(list_imgs))
if not os.path.isdir(params['path_output']):
os.mkdir(params['path_output'])
wrapper_object = partial(perform_orientation_swap,
path_out=params['path_output'])
dir_name = os.path.dirname(params['path_images'])
iterate = tl_expt.WrapExecuteSequence(wrapper_object,
list_imgs,
nb_jobs=params['nb_jobs'],
desc=dir_name)
list(iterate)
logging.info('DONE')
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
params = r_match.arg_parse_params(PARAMS)
main(params)
