multi_modality_demo.py

from argparse import ArgumentParser

from mmdet3d.apis import (inference_multi_modality_detector, init_detector,
                          show_result_meshlab)


def main():
    parser = ArgumentParser()
    parser.add_argument('pcd', help='Point cloud file')
    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=0.0, 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 visuliaztion results')
    parser.add_argument(
        '--snapshot',
        action='store_true',
        help='whether to save online visuliaztion results')
    args = parser.parse_args()

    # build the model from a config file and a checkpoint file
    model = init_detector(args.config, args.checkpoint, device=args.device)
    # test a single image
    result, data = inference_multi_modality_detector(model, args.pcd,
                                                     args.image, args.ann)
    # show the results
    show_result_meshlab(
        data,
        result,
        args.out_dir,
        args.score_thr,
        show=args.show,
        snapshot=args.snapshot)


if __name__ == '__main__':
    main()