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Added storage compression / decompression functions to prepare for sets of 1M samples.
[pysvrt.git]
/
README.md
diff --git
a/README.md
b/README.md
index
450ccd2
..
adae280
100644
(file)
--- a/
README.md
+++ b/
README.md
@@
-6,7
+6,7
@@
framework.
The main function is
```
The main function is
```
-torch.ByteTensor generate_vignettes(int problem_number, torch.LongTensor labels)
+torch.ByteTensor
svrt.
generate_vignettes(int problem_number, torch.LongTensor labels)
```
where
```
where
@@
-32,5
+32,5
@@
make -j -k
should generate an image example.png in the current directory.
Note that the image generation does not take advantage of GPUs or
should generate an image example.png in the current directory.
Note that the image generation does not take advantage of GPUs or
-multi-core, and can be as
slow as 40 vignettes per second s on a 4GHz
-i7-6700K.
+multi-core, and can be as
fast as 10,000 vignettes per second and as
+
slow as 40 on a 4GHz
i7-6700K.