From 18270e5fa9c68f042475c35022d69a36eaf2373b Mon Sep 17 00:00:00 2001 From: Alessandro Cauduro Date: Sat, 11 Apr 2020 20:08:51 -0300 Subject: [PATCH] readme correction --- README.md | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 698905a..f0308bb 100644 --- a/README.md +++ b/README.md @@ -17,10 +17,7 @@ You will need the following to make it work: Linux host OS / Win 10 NVidia fast GPU (GTX 1080, GTX 1080i, Titan, etc ...) Fast Desktop CPU (Quad Core or more) - Webcam - Anaconda Environment (https://www.anaconda.com/distribution/) - # 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). @@ -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. 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 @@ -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 @@ -157,7 +156,6 @@ For better results, look into the webcam when starting the program or when press ### 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. - ### Multiple GPU If you have more than one GPU, you might need to set some environment variables: