Spaces:
Build error
Build error
import argparse | |
import os | |
from pathlib import Path | |
import mmcv | |
from mmcv import Config, DictAction | |
from mmdet.core.utils import mask2ndarray | |
from mmdet.core.visualization import imshow_det_bboxes | |
from mmdet.datasets.builder import build_dataset | |
def parse_args(): | |
parser = argparse.ArgumentParser(description='Browse a dataset') | |
parser.add_argument('config', help='train config file path') | |
parser.add_argument( | |
'--skip-type', | |
type=str, | |
nargs='+', | |
default=['DefaultFormatBundle', 'Normalize', 'Collect'], | |
help='skip some useless pipeline') | |
parser.add_argument( | |
'--output-dir', | |
default=None, | |
type=str, | |
help='If there is no display interface, you can save it') | |
parser.add_argument('--not-show', default=False, action='store_true') | |
parser.add_argument( | |
'--show-interval', | |
type=float, | |
default=2, | |
help='the interval of show (s)') | |
parser.add_argument( | |
'--cfg-options', | |
nargs='+', | |
action=DictAction, | |
help='override some settings in the used config, the key-value pair ' | |
'in xxx=yyy format will be merged into config file. If the value to ' | |
'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' | |
'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' | |
'Note that the quotation marks are necessary and that no white space ' | |
'is allowed.') | |
args = parser.parse_args() | |
return args | |
def retrieve_data_cfg(config_path, skip_type, cfg_options): | |
cfg = Config.fromfile(config_path) | |
if cfg_options is not None: | |
cfg.merge_from_dict(cfg_options) | |
# import modules from string list. | |
if cfg.get('custom_imports', None): | |
from mmcv.utils import import_modules_from_strings | |
import_modules_from_strings(**cfg['custom_imports']) | |
train_data_cfg = cfg.data.train | |
train_data_cfg['pipeline'] = [ | |
x for x in train_data_cfg.pipeline if x['type'] not in skip_type | |
] | |
return cfg | |
def main(): | |
args = parse_args() | |
cfg = retrieve_data_cfg(args.config, args.skip_type, args.cfg_options) | |
dataset = build_dataset(cfg.data.train) | |
progress_bar = mmcv.ProgressBar(len(dataset)) | |
for item in dataset: | |
filename = os.path.join(args.output_dir, | |
Path(item['filename']).name | |
) if args.output_dir is not None else None | |
gt_masks = item.get('gt_masks', None) | |
if gt_masks is not None: | |
gt_masks = mask2ndarray(gt_masks) | |
imshow_det_bboxes( | |
item['img'], | |
item['gt_bboxes'], | |
item['gt_labels'], | |
gt_masks, | |
class_names=dataset.CLASSES, | |
show=not args.not_show, | |
wait_time=args.show_interval, | |
out_file=filename, | |
bbox_color=(255, 102, 61), | |
text_color=(255, 102, 61)) | |
progress_bar.update() | |
if __name__ == '__main__': | |
main() | |