Пример #1
0
import pyrender
import trimesh

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--pkl',
                        nargs='+',
                        type=str,
                        required=True,
                        help='The pkl files that will be read')

    args, remaining = parser.parse_known_args()

    pkl_paths = args.pkl

    args = parse_config(remaining)
    dtype = torch.float32
    use_cuda = args.get('use_cuda', True)
    if use_cuda and torch.cuda.is_available():
        device = torch.device('cuda')
    else:
        device = torch.device('cpu')

    print(args.get('model_folder'))
    model_params = dict(
        model_path=args.get('model_folder'),
        #  joint_mapper=joint_mapper,
        create_global_orient=True,
        create_body_pose=not args.get('use_vposer'),
        create_betas=True,
        create_left_hand_pose=True,
Пример #2
0
        data['keypoints'] = keyps
        print('Processing: {}'.format(data['img_path']))

        # init guess
        if setting['seq_start'] or not args.get('is_seq'):
            init_guess(setting, data, use_torso=True, **args)
        else:
            load_init(setting, data, results, use_torso=True, **args)

        fix_params(setting,
                   scale=setting['fixed_scale'],
                   shape=setting['fixed_shape'])
        # linear solve
        print("linear solve, to do...")
        # non-linear solve
        results = non_linear_solver(setting, data, **args)
        # save results
        save_results(setting, data, results, **args)

    elapsed = time.time() - start
    time_msg = time.strftime('%H hours, %M minutes, %S seconds',
                             time.gmtime(elapsed))
    print('Processing the data took: {}'.format(time_msg))


if __name__ == "__main__":

    sys.argv = ["", "--config=cfg_files\\fit_smpl.yaml"]
    args = parse_config()
    main(**args)
Пример #3
0
                             expr_prior=expr_prior,
                             body_pose_prior=body_pose_prior,
                             left_hand_prior=left_hand_prior,
                             right_hand_prior=right_hand_prior,
                             jaw_prior=jaw_prior,
                             angle_prior=angle_prior,
                             **args)

    elapsed = time.time() - start
    time_msg = time.strftime('%H hours, %M minutes, %S seconds',
                             time.gmtime(elapsed))
    print('Processing the data took: {}'.format(time_msg))


if __name__ == "__main__":
    DATA_FOLDER = "/media/psf/WVerbatim/data/mevolve/smplify-x/prox-data"
    OUTPUT_FOLDER = DATA_FOLDER + "/output"
    MODEL_FOLDER = "/media/psf/WVerbatim/data/mevolve/smplify-x/models"
    VPOSER_FOLDER = "/media/psf/WVerbatim/data/mevolve/smplify-x/vposer_v1_0"
    import sys
    argv = [
        "--config", SCRIPT_PATH + "/../cfg_files/fit_smpl.yaml", "--use_cuda",
        "0", "--interpenetration", "0", "--visualize", "0", "--interactive",
        "0", "--data_folder", DATA_FOLDER, "--output_folder", OUTPUT_FOLDER,
        "--visualize", "True", "--model_folder", MODEL_FOLDER, "--vposer_ckpt",
        VPOSER_FOLDER, "--gender", "male"
    ]
    #    argv=None
    args = parse_config(argv)
    main(**args)