X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=pysvrt.git;a=blobdiff_plain;f=README.md;h=22348325516a792103d96b15f54eb182d7b862df;hp=cb77899c768cf5d2567e9bbc817858cc41e00db4;hb=664f39333e0ae1ed2dccc6ec15e6c458dc8af935;hpb=1a92e486e3ac15239a23e373ba38939399e93827

diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -26,24 +26,25 @@ slow as 40 on a 4GHz i7-6700K.
 ## Vignette sets ##
 
 The file [`svrtset.py`](https://fleuret.org/git-extract/pysvrt/svrtset.py) implements the classes `VignetteSet` and
-`CompressedVignetteSet` with the following constructor
+`CompressedVignetteSet` both with a constructor
 
 ```
 __init__(problem_number, nb_samples, batch_size, cuda = False, logger = None)
 ```
 
-and the following method to return one batch
+and a method
 
 ```
 (torch.FloatTensor, torch.LongTensor) get_batch(b)
 ```
 
-as a pair composed of a 4d 'input' Tensor (i.e. single channel 128x128
-images), and a 1d 'target' Tensor (i.e. Boolean labels).
+which returns a pair composed of a 4d 'input' Tensor (i.e. single
+channel 128x128 images), and a 1d 'target' Tensor (i.e. Boolean
+labels).
 
 ## Low-level functions ##
 
-The main function for genering vignettes is
+The main function for generating vignettes is
 
 ```
 torch.ByteTensor svrt.generate_vignettes(int problem_number, torch.LongTensor labels)