Unable to Understand the Results of Human Pose Estimation Demo
Content Type: Product Information & Documentation | Article ID: 000059322 | Last Reviewed: 05/20/2022
Executed the Human Pose Estimation Demo with:
python human_pose_estimation.py -m human-pose-estimation-0004.xml -i <input_path> -at ae -d CPU -r
Cannot comprehend the output.
When using -r command line option, the demo will print raw detection results.
Output represents 17 keypoints for each person, followed by confidence.
The print of raw inference results is implemented by the following piece of code in Line 160-164 human_pose_estimation_demo.py:
def print_raw_results(poses, scores):
log.info('Poses:')
for pose, pose_score in zip(poses, scores):
pose_str = ' '.join('({:.2f}, {:.2f}, {:.2f})'.format(p[0], p[1], p[2]) for p in pose)
log.info('{} | {:.2f}'.format(pose_str, pose_score))
Format for the raw inference results are as follows:
# 2 is for x, y and 1 is for joint confidence
self.pose = np.zeros((num_joints, 2 + 1 + tag_size), dtype=np.float32)
scores = np.asarray([i[:, 2].mean() for i in ans])
Refer to Running Human Pose Estimation Python Demo
Refer to decoder_ae.py for details on how to decode model output for OpenVINO™ 2021.2 release.
Refer to models class for details on how to decode model output for OpenVINO™ 2021.3 release.
Number of printed raw detection results is dependent on the number of keypoints detected by the model used.