OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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26 lines
906 B
26 lines
906 B
from argparse import ArgumentParser |
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from mmdet.apis import inference_detector, init_detector, show_result_pyplot |
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def main(): |
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parser = ArgumentParser() |
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parser.add_argument('img', help='Image file') |
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parser.add_argument('config', help='Config file') |
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parser.add_argument('checkpoint', help='Checkpoint file') |
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parser.add_argument( |
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'--device', default='cuda:0', help='Device used for inference') |
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parser.add_argument( |
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'--score-thr', type=float, default=0.3, help='bbox score threshold') |
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args = parser.parse_args() |
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# build the model from a config file and a checkpoint file |
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model = init_detector(args.config, args.checkpoint, device=args.device) |
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# test a single image |
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result = inference_detector(model, args.img) |
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# show the results |
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show_result_pyplot(model, args.img, result, score_thr=args.score_thr) |
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if __name__ == '__main__': |
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main()
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