# -*- coding: utf-8 -*- # 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. All rights reserved. # # Contact: ps-license@tuebingen.mpg.de import json import os import os.path as osp import shutil import subprocess import numpy as np def run_openpose( video_file, output_folder, staf_folder, vis=False, ): pwd = os.getcwd() os.chdir(staf_folder) render = 1 if vis else 0 display = 2 if vis else 0 cmd = [ 'build/examples/openpose/openpose.bin', '--model_pose', 'BODY_21A', '--tracking', '1', '--render_pose', str(render), '--video', video_file, '--write_json', output_folder, '--display', str(display) ] print('Executing', ' '.join(cmd)) subprocess.call(cmd) os.chdir(pwd) def read_posetrack_keypoints(output_folder): people = dict() for idx, result_file in enumerate(sorted(os.listdir(output_folder))): json_file = osp.join(output_folder, result_file) data = json.load(open(json_file)) # print(idx, data) for person in data['people']: person_id = person['person_id'][0] joints2d = person['pose_keypoints_2d'] if person_id in people.keys(): people[person_id]['joints2d'].append(joints2d) people[person_id]['frames'].append(idx) else: people[person_id] = { 'joints2d': [], 'frames': [], } people[person_id]['joints2d'].append(joints2d) people[person_id]['frames'].append(idx) for k in people.keys(): people[k]['joints2d'] = np.array(people[k]['joints2d']).reshape( (len(people[k]['joints2d']), -1, 3) ) people[k]['frames'] = np.array(people[k]['frames']) return people def run_posetracker(video_file, staf_folder, posetrack_output_folder='/tmp', display=False): posetrack_output_folder = os.path.join( posetrack_output_folder, f'{os.path.basename(video_file)}_posetrack' ) # run posetrack on video run_openpose(video_file, posetrack_output_folder, vis=display, staf_folder=staf_folder) people_dict = read_posetrack_keypoints(posetrack_output_folder) shutil.rmtree(posetrack_output_folder) return people_dict