Closed nitish11 closed 8 years ago
This is potentially related to https://groups.google.com/forum/#!topic/cmu-openface/O029A5QQDm0. Torch temporarily had an issue that caused the network to always output the same value regardless of the input that has been fixed in the latest version. Can you re-install Torch or the nn/cunn packages?
luarocks install nn
# If using CUDA
luarocks install cunn
@bamos :+1: thanks. The issue was in latest torch build. Follow the below commands.
git clone https://github.com/torch/distro.git ~/torch
cd ~/torch
git checkout f95379d8512ab96939b0d797c489bbaedf7fa313
git submodule update --init --recursive
./install-deps
./install.sh
. ~/.bashrc
luarocks install dpnn
Check Torch 7 Scientific Computer Framework with cuDNN. http://jetsonhacks.com/2015/05/20/torch-7-scientific-computer-framework-with-cudnn-nvidia-jetson-tk1/
Context of the issue.
I am setting up a sample example environment on NVIDIA Jetson tegra.
I am not getting any error in building. I am getting error in output. The representations coming out from deep net trained model are not as expected.
Command executed :
root@tegra-ubuntu:/home/ubuntu/face-recognition/openface# ./demos/classifier.py infer ./models/openface/celeb-classifier.nn4.small2.v1.pkl images/examples/{carell,adams,lennon}*
Actual behavior.
OS and hardware information.