This is the python implementation of OpenVINO models.
The OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance.
We support these tasks.
| task | model |
|---|---|
| detect_face | face-detection-adas-0001 |
| emotion_recognition | emotions-recognition-retail-0003 |
| estimate_headpose | head-pose-estimation-adas-0001 |
| detect_body | person-detection-retail-0013 |
| estimate_humanpose | human-pose-estimation-0001 |
| estimate_3d_humanpose | human-pose-estimation-3d |
| detect_segmentation | instance-segmentation-seurity-0050 |
Computed results by models are as below.
Click HERE for installation instructions using docker.
Click HERE for installation instructions.
Notebook samples are HERE.
v0.0.1 (2019/08/24)
- Mac, Windows and Ubuntu are supported/
v0.0.2 (2019/01/04)
- 3d pose estimation, docker supported
v0.0.3 (2020/06/07)
- OpenVino 2020 R3 LTS version is based
This project is released under the Apache 2.0 license.