From: Francois Fleuret Date: Mon, 19 Jun 2017 12:46:02 +0000 (+0200) Subject: Added links. X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=1a92e486e3ac15239a23e373ba38939399e93827;p=pysvrt.git Added links. --- diff --git a/README.md b/README.md index f4e07af..cb77899 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,9 @@ make -j -k ./test-svrt.py ``` -should generate an image example.png in the current directory. +should generate an image +[`example.png`](https://fleuret.org/git-extract/pysvrt/example.png) in +the current directory. Note that the image generation does not take advantage of GPUs or multi-core, and can be as fast as 10,000 vignettes per second and as @@ -23,7 +25,7 @@ slow as 40 on a 4GHz i7-6700K. ## Vignette sets ## -The svrtset.py implements the classes `VignetteSet` and +The file [`svrtset.py`](https://fleuret.org/git-extract/pysvrt/svrtset.py) implements the classes `VignetteSet` and `CompressedVignetteSet` with the following constructor ``` @@ -83,7 +85,8 @@ See vignette_set.py for a class CompressedVignetteSet using it. # Testing convolution networks # -The file `cnn-svrt.py` provides the implementation of two deep -networks designed by Afroze Baqapuri during an internship at Idiap, -and allows to train them with several millions vignettes on a PC with -16Gb and a GPU with 8Gb. +The file +[`cnn-svrt.py`](https://fleuret.org/git-extract/pysvrt/cnn-svrt.py) +provides the implementation of two deep networks designed by Afroze +Baqapuri during an internship at Idiap, and allows to train them with +several millions vignettes on a PC with 16Gb and a GPU with 8Gb.