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Added classes VignetteSet and CompressedVignetteSet to abstract the data-sets and...
[pysvrt.git]
/
README.md
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README.md
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README.md
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+6,7
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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
@@
-22,8
+22,15
@@
The returned ByteTensor has three dimensions:
# Installation and test #
# Installation and test #
+Executing
+
```
make -j -k
```
make -j -k
-./built.py
./test-svrt.py
```
./test-svrt.py
```
+
+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 fast as 10,000 vignettes per second and as
+slow as 40 on a 4GHz i7-6700K.