VNect -- Tensorflow version

This is not an official implementation. If you find any question regarding to this project please directly contact to me or open an issue.

Environments

1.Download model, put them in folder models/weights
2.Edit demo settings in shell script, --device --demo_type --model_file --test_img --plot_2d --plot_3d
3.If you have OpenGL, you can run run_demo_tf_gl.sh for faster rendering of 3d joints. Otherwise, run run_demo_tf.sh

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
models		models
test_imgs		test_imgs
utils		utils
README.md		README.md
caffe_weights_to_pickle.py		caffe_weights_to_pickle.py
demo.py		demo.py
demo_gl.py		demo_gl.py
demo_multithread.py		demo_multithread.py
demo_tf.py		demo_tf.py
demo_tf_gl.py		demo_tf_gl.py
pkl_compare.py		pkl_compare.py
plotly_test.py		plotly_test.py
pyqt_test.py		pyqt_test.py
read_hand_json.py		read_hand_json.py
run_demo_tf.sh		run_demo_tf.sh
run_demo_tf_gl.sh		run_demo_tf_gl.sh
utils.py		utils.py
utils.pyc		utils.pyc
vispy_test.py		vispy_test.py