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Added links.
author
Francois Fleuret
<francois@fleuret.org>
Mon, 19 Jun 2017 12:46:02 +0000
(14:46 +0200)
committer
Francois Fleuret
<francois@fleuret.org>
Mon, 19 Jun 2017 12:46:02 +0000
(14:46 +0200)
README.md
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b/README.md
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README.md
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README.md
@@
-13,7
+13,9
@@
make -j -k
./test-svrt.py
```
./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
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 ##
## 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
```
`CompressedVignetteSet` with the following constructor
```
@@
-83,7
+85,8
@@
See vignette_set.py for a class CompressedVignetteSet using it.
# Testing convolution networks #
# 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.