OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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68 lines
1.8 KiB
68 lines
1.8 KiB
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 |
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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=int, |
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default=999, |
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help='the interval of show (ms)') |
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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): |
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cfg = Config.fromfile(config_path) |
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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) |
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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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mmcv.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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class_names=dataset.CLASSES, |
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show=not args.not_show, |
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out_file=filename, |
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wait_time=args.show_interval) |
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progress_bar.update() |
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if __name__ == '__main__': |
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main()
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