[Caution] The behavior of RraspberryPi+NCS2 is very unstable.
[Caution] The behavior of Tensorflow Lite+CPU is unstable.
[Caution] May 06, 2019, The Google Edge TPU program and model are under construction.
[Info] Jun 08, 2020, I'm tuning the performance of the Tensorflow Lite model significantly. https://github.com/PINTO0309/PINTO_model_zoo/tree/master/07_mobilenetv2-poseestimation
This repository has its own implementation, impressed by ildoonet's achievements.
Thank you, ildoonet.
https://github.com/ildoonet/tf-pose-estimation.git
I will make his implementation even faster with CPU only.
- Ubuntu 16.04 x86_64
- OpenVINO 2019 R1.0.1
- Tensorflow v1.12.0 + Tensorflow Lite
- USB Camera
- Neural Compute Stick 2 (NCS2)
- Google Edge TPU
- Python 3.5
$ git clone https://github.com/PINTO0309/MobileNetV2-PoseEstimation.git
$ cd MobileNetV2-PoseEstimation
CPU - Sync Mode
$ python3 openvino-usbcamera-cpu-ncs2-sync.py -d CPU
CPU - Sync + Boost Mode
$ python3 openvino-usbcamera-cpu-ncs2-sync.py -d CPU -b True
NCS2 - Sync Mode
$ python3 openvino-usbcamera-cpu-ncs2-sync.py -d MYRIAD
CPU - Async Mode
$ python3 openvino-usbcamera-cpu-ncs2-async.py -d CPU
NCS2 - Async - Single Stick Mode
$ python3 openvino-usbcamera-cpu-ncs2-async.py -d MYRIAD
NCS2 - Async - Multi Stick Mode
$ python3 openvino-usbcamera-cpu-ncs2-async.py -d MYRIAD -numncs 2
NCS2 - Async - Single Stick + Boost Mode
$ python3 openvino-usbcamera-cpu-ncs2-async.py -d MYRIAD -b True
GPU (Intel HD series only) - Async - Boost Mode
$ python3 openvino-usbcamera-cpu-ncs2-async.py -d GPU -b True
https://github.com/ildoonet/tf-pose-estimation.git
https://www.tensorflow.org/api_docs/python/tf/image/resize_area
Python OpenCVの基礎 resieで画像サイズを変えてみる - Pythonの学習の過程とか - ピーハイ
Blurring and Smoothing - OpenCV with Python for Image and Video Analysis 8
https://www.learnopencv.com/deep-learning-based-human-pose-estimation-using-opencv-cpp-python/
https://teratail.com/questions/169393