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data | ||
data_temp | ||
*.sh | ||
wandb | ||
*_old.py | ||
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# Copyright (c) Microsoft Corporation. All rights reserved. | ||
# Licensed under the MIT License. | ||
import os.path as osp | ||
import os | ||
import numpy as np | ||
import pickle | ||
import logging | ||
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def get_raw_bodies_data(skes_path, ske_name, frames_drop_skes, frames_drop_logger): | ||
""" | ||
Get raw bodies data from a skeleton sequence. | ||
Each body's data is a dict that contains the following keys: | ||
- joints: raw 3D joints positions. Shape: (num_frames x 25, 3) | ||
- colors: raw 2D color locations. Shape: (num_frames, 25, 2) | ||
- interval: a list which stores the frame indices of this body. | ||
- motion: motion amount (only for the sequence with 2 or more bodyIDs). | ||
Return: | ||
a dict for a skeleton sequence with 3 key-value pairs: | ||
- name: the skeleton filename. | ||
- data: a dict which stores raw data of each body. | ||
- num_frames: the number of valid frames. | ||
""" | ||
ske_file = osp.join(skes_path, ske_name + '.skeleton') | ||
assert osp.exists(ske_file), 'Error: Skeleton file %s not found' % ske_file | ||
# Read all data from .skeleton file into a list (in string format) | ||
print('Reading data from %s' % ske_file[-29:]) | ||
with open(ske_file, 'r') as fr: | ||
str_data = fr.readlines() | ||
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num_frames = int(str_data[0].strip('\r\n')) | ||
frames_drop = [] | ||
bodies_data = dict() | ||
valid_frames = -1 # 0-based index | ||
current_line = 1 | ||
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for f in range(num_frames): | ||
num_bodies = int(str_data[current_line].strip('\r\n')) | ||
current_line += 1 | ||
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if num_bodies == 0: # no data in this frame, drop it | ||
frames_drop.append(f) # 0-based index | ||
continue | ||
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valid_frames += 1 | ||
joints = np.zeros((num_bodies, 25, 3), dtype=np.float32) | ||
colors = np.zeros((num_bodies, 25, 2), dtype=np.float32) | ||
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for b in range(num_bodies): | ||
bodyID = str_data[current_line].strip('\r\n').split()[0] | ||
current_line += 1 | ||
num_joints = int(str_data[current_line].strip('\r\n')) # 25 joints | ||
current_line += 1 | ||
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for j in range(num_joints): | ||
temp_str = str_data[current_line].strip('\r\n').split() | ||
joints[b, j, :] = np.array(temp_str[:3], dtype=np.float32) | ||
colors[b, j, :] = np.array(temp_str[5:7], dtype=np.float32) | ||
current_line += 1 | ||
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if bodyID not in bodies_data: # Add a new body's data | ||
body_data = dict() | ||
body_data['joints'] = joints[b] # ndarray: (25, 3) | ||
body_data['colors'] = colors[b, np.newaxis] # ndarray: (1, 25, 2) | ||
body_data['interval'] = [valid_frames] # the index of the first frame | ||
else: # Update an already existed body's data | ||
body_data = bodies_data[bodyID] | ||
# Stack each body's data of each frame along the frame order | ||
body_data['joints'] = np.vstack((body_data['joints'], joints[b])) | ||
body_data['colors'] = np.vstack((body_data['colors'], colors[b, np.newaxis])) | ||
pre_frame_idx = body_data['interval'][-1] | ||
body_data['interval'].append(pre_frame_idx + 1) # add a new frame index | ||
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bodies_data[bodyID] = body_data # Update bodies_data | ||
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num_frames_drop = len(frames_drop) | ||
assert num_frames_drop < num_frames, \ | ||
'Error: All frames data (%d) of %s is missing or lost' % (num_frames, ske_name) | ||
if num_frames_drop > 0: | ||
frames_drop_skes[ske_name] = np.array(frames_drop, dtype=np.int) | ||
frames_drop_logger.info('{}: {} frames missed: {}\n'.format(ske_name, num_frames_drop, | ||
frames_drop)) | ||
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# Calculate motion (only for the sequence with 2 or more bodyIDs) | ||
if len(bodies_data) > 1: | ||
for body_data in bodies_data.values(): | ||
body_data['motion'] = np.sum(np.var(body_data['joints'], axis=0)) | ||
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return {'name': ske_name, 'data': bodies_data, 'num_frames': num_frames - num_frames_drop} | ||
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def get_raw_skes_data(): | ||
# # save_path = './data' | ||
# # skes_path = '/data/pengfei/NTU/nturgb+d_skeletons/' | ||
# stat_path = osp.join(save_path, 'statistics') | ||
# | ||
# skes_name_file = osp.join(stat_path, 'skes_available_name.txt') | ||
# save_data_pkl = osp.join(save_path, 'raw_skes_data.pkl') | ||
# frames_drop_pkl = osp.join(save_path, 'frames_drop_skes.pkl') | ||
# | ||
# frames_drop_logger = logging.getLogger('frames_drop') | ||
# frames_drop_logger.setLevel(logging.INFO) | ||
# frames_drop_logger.addHandler(logging.FileHandler(osp.join(save_path, 'frames_drop.log'))) | ||
# frames_drop_skes = dict() | ||
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skes_name = np.loadtxt(skes_name_file, dtype=str) | ||
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num_files = skes_name.size | ||
print('Found %d available skeleton files.' % num_files) | ||
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raw_skes_data = [] | ||
frames_cnt = np.zeros(num_files, dtype=np.int) | ||
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for (idx, ske_name) in enumerate(skes_name): | ||
bodies_data = get_raw_bodies_data(skes_path, ske_name, frames_drop_skes, frames_drop_logger) | ||
raw_skes_data.append(bodies_data) | ||
frames_cnt[idx] = bodies_data['num_frames'] | ||
if (idx + 1) % 1000 == 0: | ||
print('Processed: %.2f%% (%d / %d)' % \ | ||
(100.0 * (idx + 1) / num_files, idx + 1, num_files)) | ||
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with open(save_data_pkl, 'wb') as fw: | ||
pickle.dump(raw_skes_data, fw, pickle.HIGHEST_PROTOCOL) | ||
np.savetxt(osp.join(save_path, 'raw_data', 'frames_cnt.txt'), frames_cnt, fmt='%d') | ||
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print('Saved raw bodies data into %s' % save_data_pkl) | ||
print('Total frames: %d' % np.sum(frames_cnt)) | ||
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with open(frames_drop_pkl, 'wb') as fw: | ||
pickle.dump(frames_drop_skes, fw, pickle.HIGHEST_PROTOCOL) | ||
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if __name__ == '__main__': | ||
save_path = './' | ||
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skes_path = '../nturgbd_raw/nturgb+d_skeletons/' | ||
stat_path = osp.join(save_path, 'statistics') | ||
if not osp.exists('./raw_data'): | ||
os.makedirs('./raw_data') | ||
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skes_name_file = osp.join(stat_path, 'skes_available_name.txt') | ||
save_data_pkl = osp.join(save_path, 'raw_data', 'raw_skes_data.pkl') | ||
frames_drop_pkl = osp.join(save_path, 'raw_data', 'frames_drop_skes.pkl') | ||
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frames_drop_logger = logging.getLogger('frames_drop') | ||
frames_drop_logger.setLevel(logging.INFO) | ||
frames_drop_logger.addHandler(logging.FileHandler(osp.join(save_path, 'raw_data', 'frames_drop.log'))) | ||
frames_drop_skes = dict() | ||
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get_raw_skes_data() | ||
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with open(frames_drop_pkl, 'wb') as fw: | ||
pickle.dump(frames_drop_skes, fw, pickle.HIGHEST_PROTOCOL) | ||
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