Updated Unix installation (markdown)

Xucong Zhang 2019-03-20 13:54:55 +01:00
parent 2b39b4ce08
commit 56fc3c9df2

@ -27,8 +27,7 @@ Since we use convolutional neural networks as our model, the speed performance c
```
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run
chmod +x cuda_9.0.176_384.81_linux-run
sudo ./cuda_9.0.176_384.81_linux-run --override
sudo bash cuda_9.0.176_384.81_linux-run --override
```
Answer these questions as follows while installation begins:
- Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? n
@ -80,9 +79,9 @@ cd OpenFace
```
Open the file 'install.sh', and change the "BUILD_SHARED_LIBS=OFF" to "BUILD_SHARED_LIBS=ON" for OpenCV. Then run
```
./install.sh
yes | bash install.sh
```
**Warning:** It requires typing a "Y" in the middle of the installation. Do not leave it unattended. <br/>
<br/>
2. Download the necessary models:
Open the file "download_models.sh", set your OpenGaze root directory, which defualt value is "~/OpenGaze".<br/>
@ -109,7 +108,7 @@ Install general dependencies: <br/>
Download OpenGaze:<br/>
`git clone https://github.molgen.mpg.de/perceptual/opengaze.git`<br/>
Copy the customized layers from OpenGaze to caffe:<br/>
`cp -r opengaze/caffe-layers/include caffe/`
`cp -r opengaze/caffe-layers/include caffe/`<br/>
`cp -r opengaze/caffe-layers/src caffe/`<br/>
Compile:<br/>
```