pose2sim/Pose2Sim/Utilities/c3d_to_trc.py

128 lines
4.9 KiB
Python
Raw Normal View History

2023-07-19 17:37:20 +08:00
#! /usr/bin/env python
# -*- coding: utf-8 -*-
'''
##################################################
## Convert c3d files to trc ##
##################################################
Converts c3d files to trc files.
2023-09-07 18:22:15 +08:00
Beware that it only allows you to retrieve 3D points, you won't get analog data nor computed data such as angles or powers with this code.
2023-07-19 17:37:20 +08:00
2023-09-07 18:22:15 +08:00
N.B.: First install c3d: `pip install c3d`
2023-07-19 17:37:20 +08:00
Usage:
from Pose2Sim.Utilities import c3d_to_trc; c3d_to_trc.c3d_to_trc_func(r'<input_c3d_file>')
2023-09-21 23:39:28 +08:00
python -m c3d_to_trc -i input_c3d_file
python -m c3d_to_trc -i input_c3d_file -o output_c3d_file
2023-07-19 17:37:20 +08:00
'''
## INIT
import c3d
import numpy as np
import argparse
## AUTHORSHIP INFORMATION
__author__ = "David Pagnon"
__copyright__ = "Copyright 2021, Pose2Sim"
__credits__ = ["David Pagnon"]
__license__ = "BSD 3-Clause License"
2024-02-06 00:49:10 +08:00
__version__ = '0.6'
2023-07-19 17:37:20 +08:00
__maintainer__ = "David Pagnon"
__email__ = "contact@david-pagnon.com"
__status__ = "Development"
## FUNCTIONS
def c3d_to_trc_func(*args):
'''
Convert c3d to trc
/!\ Only point data are retrieved. Analog data (force plates, emg) and
computed data (angles, powers, etc) will be lost.
Usage:
import c3d_to_trc; c3d_to_trc.c3d_to_trc_func(r'<input_c3d_file>')
2023-09-21 23:39:28 +08:00
c3d_to_trc -i input_c3d_file
c3d_to_trc -i input_c3d_file -o output_c3d_file
2023-07-19 17:37:20 +08:00
'''
try:
c3d_path = args[0]['input'] # invoked with argparse
if args[0]['output'] == None:
trc_path = c3d_path.replace('.c3d', '.trc')
else:
trc_path = args[0]['output']
except:
c3d_path = args[0] # invoked as a function
trc_path = c3d_path.replace('.c3d', '.trc')
# c3d header
reader = c3d.Reader(open(c3d_path, 'rb'))
items_header = str(reader.header).split('\n')
items_header_list = [item.strip().split(': ') for item in items_header]
label_item = [item[0] for item in items_header_list]
value_item = [item[1] for item in items_header_list]
header_c3d = dict(zip(label_item, value_item))
2023-10-30 18:28:42 +08:00
# unit
for k1 in reader.group_items():
if k1[0]=='POINT':
for k2 in k1[1].param_items():
if k2[0]=='UNITS':
if 'mm' in k2[1].bytes[:].decode('utf-8'):
unit = 'mm'
unit_scale= 0.001
else:
unit = 'm'
unit_scale= 1 # mm
2023-07-19 17:37:20 +08:00
# c3d data: reads 3D points (no analog data) and takes off computed data
labels = reader.point_labels
index_labels_markers = [i for i, s in enumerate(labels) if 'Angle' not in s and 'Power' not in s and 'Force' not in s and 'Moment' not in s and 'GRF' not in s]
labels_markers = [labels[ind] for ind in index_labels_markers]
# trc header
header0_str = 'PathFileType\t4\t(X/Y/Z)\t' + trc_path
header1 = {}
header1['DataRate'] = str(int(float(header_c3d['frame_rate'])))
header1['CameraRate'] = header1['DataRate']
header1['NumFrames'] = str(int(header_c3d['last_frame']) - int(header_c3d['first_frame']) + 1)
header1['NumMarkers'] = str(len(labels_markers))
2023-10-30 18:28:42 +08:00
header1['Units'] = unit
2023-07-19 17:37:20 +08:00
header1['OrigDataRate'] = header1['DataRate']
header1['OrigDataStartFrame'] = header_c3d['first_frame']
header1['OrigNumFrames'] = header1['NumFrames']
header1_str1 = '\t'.join(header1.keys())
header1_str2 = '\t'.join(header1.values())
header2_str1 = 'Frame#\tTime\t' + '\t\t\t'.join([item.strip() for item in labels_markers]) + '\t\t'
header2_str2 = '\t\t'+'\t'.join(['X{i}\tY{i}\tZ{i}'.format(i=i+1) for i in range(int(header1['NumMarkers']))])
header_trc = '\n'.join([header0_str, header1_str1, header1_str2, header2_str1, header2_str2])
with open(trc_path, 'w') as trc_o:
trc_o.write(header_trc+'\n')
# trc data
index_data_markers = np.sort(np.concatenate([np.array(index_labels_markers)*3, np.array(index_labels_markers)*3+1, np.array(index_labels_markers)*3+2]))
t0 = int(float(header_c3d['first_frame'])) / int(float(header_c3d['frame_rate']))
tf = int(float(header_c3d['last_frame'])) / int(float(header_c3d['frame_rate']))
trc_time = np.linspace(t0, tf, num=(int(header_c3d['last_frame']) - int(header_c3d['first_frame']) + 1))
for n, (i, points, _) in enumerate(list(reader.read_frames())):
2023-10-30 18:28:42 +08:00
c3d_line = np.concatenate([item[:3] for item in points])*unit_scale
2023-07-19 17:37:20 +08:00
c3d_line_markers = c3d_line[index_data_markers]
trc_line = '{i}\t{t}\t'.format(i=i, t=trc_time[n]) + '\t'.join(map(str,c3d_line_markers))
trc_o.write(trc_line+'\n')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input', required = True, help='c3d input file name')
parser.add_argument('-o', '--output', required=False, help='trc output file name')
args = vars(parser.parse_args())
c3d_to_trc_func(args)