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