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- # Copyright (c) OpenMMLab. All rights reserved.
- from argparse import ArgumentParser
-
- from mmdet3d.apis import (inference_mono_3d_detector, init_model,
- show_result_meshlab)
-
-
- def main():
- parser = ArgumentParser()
- parser.add_argument('image', help='image file')
- parser.add_argument('ann', help='ann file')
- parser.add_argument('config', help='Config file')
- parser.add_argument('checkpoint', help='Checkpoint file')
- parser.add_argument(
- '--device', default='cuda:0', help='Device used for inference')
- parser.add_argument(
- '--score-thr', type=float, default=0.15, help='bbox score threshold')
- parser.add_argument(
- '--out-dir', type=str, default='demo', help='dir to save results')
- parser.add_argument(
- '--show',
- action='store_true',
- help='show online visualization results')
- parser.add_argument(
- '--snapshot',
- action='store_true',
- help='whether to save online visualization results')
- args = parser.parse_args()
-
- # build the model from a config file and a checkpoint file
- model = init_model(args.config, args.checkpoint, device=args.device)
- # test a single image
- result, data = inference_mono_3d_detector(model, args.image, args.ann)
- # show the results
- show_result_meshlab(
- data,
- result,
- args.out_dir,
- args.score_thr,
- show=args.show,
- snapshot=args.snapshot,
- task='mono-det')
-
-
- if __name__ == '__main__':
- main()
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