Cosmetics.

[pysvrt.git] / test-svrt.py

diff --git a/test-svrt.py b/test-svrt.py
index 92fc554..5f38fa9 100755 (executable)
--- a/test-svrt.py
+++ b/test-svrt.py
@@ -24,16 +24,29 @@
 import time
 
 import torch
+import torchvision
 
 from torch import optim
 from torch import FloatTensor as Tensor
 from torch.autograd import Variable
 from torch import nn
 from torch.nn import functional as fn
+
 from torchvision import datasets, transforms, utils
 
-from _ext import svrt
+import svrt
+
+labels = torch.LongTensor(12).zero_()
+labels.narrow(0, 0, labels.size(0)//2).fill_(1)
+
+x = svrt.generate_vignettes(4, labels)
+
+print('compression factor {:f}'.format(x.storage().size() / svrt.compress(x.storage()).size()))
+
+x = x.view(x.size(0), 1, x.size(1), x.size(2))
+
+x.div_(255)
 
-train_set = svrt.generate_vignettes(12, 1234)
+torchvision.utils.save_image(x, 'example.png')
 
-print(str(type(train_set)), train_set.size())
+print('Wrote example.png')