Spaces:
Running
on
L40S
Running
on
L40S
File size: 3,445 Bytes
d7e58f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is
# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is authorized to grant you that right.
# Any use of the computer program without a valid license is prohibited and
# liable to prosecution.
#
# Copyright©2019 Max-Planck-Gesellschaft zur Förderung
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute
# for Intelligent Systems and the Max Planck Institute for Biological
# Cybernetics. All rights reserved.
#
# Contact: [email protected]
from __future__ import print_function
import os
import os.path as osp
import pickle
import argparse
import numpy as np
def merge_models(smplh_fn,
mano_left_fn,
mano_right_fn,
output_folder='output'):
with open(smplh_fn, 'rb') as body_file:
body_data = pickle.load(body_file)
with open(mano_left_fn, 'rb') as lhand_file:
lhand_data = pickle.load(lhand_file)
with open(mano_right_fn, 'rb') as rhand_file:
rhand_data = pickle.load(rhand_file)
out_fn = osp.split(smplh_fn)[1]
output_data = body_data.copy()
output_data['hands_componentsl'] = lhand_data['hands_components']
output_data['hands_componentsr'] = rhand_data['hands_components']
output_data['hands_coeffsl'] = lhand_data['hands_coeffs']
output_data['hands_coeffsr'] = rhand_data['hands_coeffs']
output_data['hands_meanl'] = lhand_data['hands_mean']
output_data['hands_meanr'] = rhand_data['hands_mean']
for key, data in output_data.iteritems():
if 'chumpy' in str(type(data)):
output_data[key] = np.array(data)
else:
output_data[key] = data
out_path = osp.join(output_folder, out_fn)
print(out_path)
print('Saving to {}'.format(out_path))
with open(out_path, 'wb') as output_file:
pickle.dump(output_data, output_file)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--smplh-fn',
dest='smplh_fn',
required=True,
type=str,
help='The path to the SMPLH model')
parser.add_argument('--mano-left-fn',
dest='mano_left_fn',
required=True,
type=str,
help='The path to the left hand MANO model')
parser.add_argument('--mano-right-fn',
dest='mano_right_fn',
required=True,
type=str,
help='The path to the right hand MANO model')
parser.add_argument('--output-folder',
dest='output_folder',
required=True,
type=str,
help='The path to the output folder')
args = parser.parse_args()
smplh_fn = args.smplh_fn
mano_left_fn = args.mano_left_fn
mano_right_fn = args.mano_right_fn
output_folder = args.output_folder
if not osp.exists(output_folder):
print('Creating directory: {}'.format(output_folder))
os.makedirs(output_folder)
merge_models(smplh_fn, mano_left_fn, mano_right_fn, output_folder)
|