readme correction

pull/4/head
Alessandro Cauduro 4 years ago
parent 3ef5b58d00
commit 18270e5fa9

@ -17,10 +17,7 @@ You will need the following to make it work:
Linux host OS / Win 10 Linux host OS / Win 10
NVidia fast GPU (GTX 1080, GTX 1080i, Titan, etc ...) NVidia fast GPU (GTX 1080, GTX 1080i, Titan, etc ...)
Fast Desktop CPU (Quad Core or more) Fast Desktop CPU (Quad Core or more)
Webcam Webcam
Anaconda Environment (https://www.anaconda.com/distribution/)
# Clone this repository # Clone this repository
Don't forget to use the *--recurse-submodules* parameter to checkout all dependencies. In Windows you might need to install a [Git Client](https://git-scm.com/download/win). Don't forget to use the *--recurse-submodules* parameter to checkout all dependencies. In Windows you might need to install a [Git Client](https://git-scm.com/download/win).
@ -38,11 +35,10 @@ Install the latest Nvidia video driver then the Deep Learning infrastructure:
* [cuDNN](https://developer.nvidia.com/cudnn) version for CUDA 10.1 - you will need to register to download it. * [cuDNN](https://developer.nvidia.com/cudnn) version for CUDA 10.1 - you will need to register to download it.
Other versions might work, but I haven't tested them. Other versions might work, but I haven't tested them.
## Usage # Install Anaconda Environment
Put in the `/media` directory the images in jpg/png you want to play with. Squared images that have just a face filling most of the space will work better. * [Anaconda Environment](https://www.anaconda.com/distribution/)
# Setup Windows Version # Setup Windows Version
@ -123,6 +119,9 @@ $ v4l2-ctl --list-formats -d /dev/video1
``` ```
## Images
Put in the `/media` directory the images in jpg/png you want to play with. Squared images that have just a face filling most of the space will work better.
# Run the program # Run the program
@ -157,7 +156,6 @@ For better results, look into the webcam when starting the program or when press
### Slow ### Slow
If it is running slow, check that it is running on the GPU by looking at the TASK MANAGER under Windows and NVidia Control Panel for Linux. If it is running slow, check that it is running on the GPU by looking at the TASK MANAGER under Windows and NVidia Control Panel for Linux.
### Multiple GPU ### Multiple GPU
If you have more than one GPU, you might need to set some environment variables: If you have more than one GPU, you might need to set some environment variables:

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