minor script changes
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@ -19,8 +19,8 @@
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Usage:
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from Pose2Sim.Utilities import reproj_from_trc_calib; reproj_from_trc_calib.reproj_from_trc_calib_func(r'<input_trc_file>', r'<input_calib_file>', '<output_format>', r'<output_file_root>')
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python -m reproj_from_trc_calib -t input_trc_file -c input_calib_file
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python -m reproj_from_trc_calib -t input_trc_file -c input_calib_file -f 'openpose' -u
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python -m reproj_from_trc_calib -t input_trc_file -c input_calib_file -f 'deeplabcut' -o output_file_root
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python -m reproj_from_trc_calib -t input_trc_file -c input_calib_file -o -u
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python -m reproj_from_trc_calib -t input_trc_file -c input_calib_file -d -o output_file_root
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'''
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@ -90,7 +90,7 @@ MODEL = Node("CHip", id=None, children=[
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]),
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])
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nb_joints = 17
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# nb_joints = 17
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# MODEL = Node("None", id=None, children=[
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# Node("Origin", id=0),
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# Node("Board1", id=1),
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@ -349,24 +349,26 @@ def reproj_from_trc_calib_func(**args):
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'hand_right_keypoints_3d':[]}]
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# write one json file per camera and per frame
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for cam, cam_dir in enumerate(cam_dirs):
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print('\n', cam)
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for frame in range(len(Q)):
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json_dict_copy = deepcopy(json_dict)
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data_proj_frame = data_proj[cam].iloc[row]['DavidPagnon']['person0']
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# store 2D keypoints and respect model keypoint order
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for (i,b) in zip(bodyparts_ids, bodyparts):
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print(repr(data_proj_frame[b].values))
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# print(repr(data_proj_frame[b].values))
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json_dict_copy['people'][0]['pose_keypoints_2d'][[i*3,i*3+1,i*3+2]] = np.append(data_proj_frame[b].values, 1)
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json_dict_copy['people'][0]['pose_keypoints_2d'] = json_dict_copy['people'][0]['pose_keypoints_2d'].tolist()
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# write json file
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json_file = os.path.join(cam_dir, f'{filename}_cam_{cam+1:02d}.{frame:05d}.json')
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with open(json_file, 'w') as js_f:
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js_f.write(json.dumps(json_dict_copy))
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print('Camera #', cam, 'done.')
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# Wrong format
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else:
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raise ValueError('output_format must be either "openpose" or "deeplabcut"')
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print(f'Reprojected points saved at {output_file_root}.')
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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@ -13,6 +13,8 @@
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Beware, it can be quite slow depending on the ccomplexity
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of the model and on the number of frames.
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Also, make sure that OpenSim is installed (e.g. via conda)
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Usage:
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from Pose2Sim.Utilities import trc_from_mot_osim; trc_from_mot_osim.trc_from_mot_osim_func(r'<input_mot_file>', r'<output_osim_file>', r'<output_trc_file>')
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python -m trc_from_mot_osim -m input_mot_file -o input_osim_file
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@ -68,7 +70,7 @@ def get_marker_positions(motion_data, model, in_degrees=True):
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marker_positions = []
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print('Time frame:')
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for n,t in enumerate(times):
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print(t, 's')
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print('t = ', t, 's')
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# put the model in the right position
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for coord in joint_angle_set_names:
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if in_degrees and not coord.endswith('_tx') and not coord.endswith('_ty') and not coord.endswith('_tz'):
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@ -159,6 +161,7 @@ def trc_from_mot_osim_func(*args):
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with open(trc_path, 'w') as trc_o:
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trc_o.write(header_trc+'\n')
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marker_positions_pd.to_csv(trc_path, header=False, sep = '\t', mode='a', index=False)
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print(f'trc file successfully saved as {trc_path}')
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if __name__ == '__main__':
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