cd ~/deep_hand_pose/ && mkdir build && pushd build && cmake .. && make -j16 && popd
create the directory where results will be stored
mkdir out
now run the pre-trained model on the NYU dataset!
examples/deep_hand_pose/train.sh
Deep Hand Base License and Citation
The license is the same as caffe from which this is derived. Please see below.
If you find this useful, relevant citations would be
@article{supancic2015depth,
title={Depth-based hand pose estimation: methods, data, and challenges},
author={Supancic III, James Steven and Rogez, Gregory and Yang, Yi and Shotton, Jamie and Ramanan, Deva},
journal={arXiv preprint arXiv:1504.06378},
year={2015}
}
and
@article{oberweger2015hands,
title={Hands Deep in Deep Learning for Hand Pose Estimation},
author={Oberweger, Markus and Wohlhart, Paul and Lepetit, Vincent},
journal={arXiv preprint arXiv:1502.06807},
year={2015}
}
Caffe
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.
Check out the project site for all the details like
Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.
Happy brewing!
Caffe License and Citation
Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.
Please cite Caffe in your publications if it helps your research:
@article{jia2014caffe,
Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
Journal = {arXiv preprint arXiv:1408.5093},
Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
Year = {2014}
}