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Last active September 1, 2017 14:59
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OpenPose on Ubuntu 16.04 with GeForce GTX 750
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openpose.md

https://github.com/CMU-Perceptual-Computing-Lab/openpose

https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md

$ nvidia-smi
Fri Sep  1 06:57:58 2017       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 750     Off  | 0000:01:00.0      On |                  N/A |
| 30%   35C    P8     1W /  38W |    720MiB /  1992MiB |     12%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0      1226    G   /usr/lib/xorg/Xorg                             554MiB |
|    0      2060    G   compiz                                          22MiB |
|    0      4248    G   ...el-token=4B65CE4504E8A2FF5010D4DBF73FD9D7   135MiB |
|    0      9767    G   rviz                                             6MiB |
+-----------------------------------------------------------------------------+

Could kill rviz and chrome to free up more gpu, how to reduce xorg usage?

Cuda

currently have libcudart7.5, so will have to do manual compilation.

Going to download cudnn for cuda 7.5

 tar xvf cudnn-7.5-linux-x64-v5.1.tgz 
cuda/include/cudnn.h
cuda/lib64/libcudnn.so
cuda/lib64/libcudnn.so.5
cuda/lib64/libcudnn.so.5.1.10
cuda/lib64/libcudnn_static.a
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