GFCamera

Install

Dependencies

You need dependencies below.

• python3
• tensorflow 1.4.1+
• opencv3, protobuf, python3-tk
• slidingwindow
  • https://github.com/adamrehn/slidingwindow
  • I copied from the above git repo to modify few things.

Pre-Install Jetson case

$ sudo apt-get install libllvm-7-ocaml-dev libllvm7 llvm-7 llvm-7-dev llvm-7-doc llvm-7-examples llvm-7-runtime
$ export LLVM_CONFIG=/usr/bin/llvm-config-7 

Install

Clone the repo and install 3rd-party libraries.

$ git clone https://github.com/Jrebort/GF_camera
$ cd GF_camera
$ pip3 install -r requirements.txt

Build c++ library for post processing. See : https://github.com/ildoonet/tf-pose-estimation/tree/master/tf_pose/pafprocess

$ cd tf_pose/pafprocess
$ swig -python -c++ pafprocess.i && python3 setup.py build_ext --inplace

Package Install

Alternatively, you can install this repo as a shared package using pip.

$ git clone https://github.com/Jrebort/GF_camera
$ cd GF_camera
$ python setup.py install  # Or, `pip install -e .`

pre-process images of pose

We provide a dataset of pose which is pre-process by our estimator. You can get it at: https://pan.baidu.com/s/1A3nLiz8shgcQWxvSQxptaw Then unzip it in path: './pose_images/'

Inference

Realtime Process

$ python run.py --model=mobilenet_thin --resize=432x368 --camera=0

Apply TensoRT

$ python run.py --model=mobilenet_thin --resize=432x368 --camera=0 --tensorrt=True

KeyPoints schematic diagram