Is there an error in transformations?

[huanglianghua]

Hi @bilylee , thanks for your fantastic work.

In the following code (here):

self.z_transform = Compose([RandomStretch(),
                                  CenterCrop((255 - 8, 255 - 8)),
                                  RandomCrop(255 - 2 * 8),
                                  CenterCrop((127, 127))])
self.x_transform = Compose([RandomStretch(),
                                  CenterCrop((255 - 8, 255 - 8)),
                                  RandomCrop(255 - 2 * 8), ])

The output z is 127 x 127, but output x is 239 x 239 not 255 x 255.

The response size with 239 x 239 is 15 x 15 but with 255 x 255 is 17 x 17.

17 x 17 is correct since it is exactly same as the response size in the inference stage.

Is this an error or so? (Although this will not report any error during training since the label size is directly deduced from response size!).

[shuida]

I have the same problem. Has it been solved?

[bilylee]

Hi,

During training, image patch with size 239 x 239 is cropped from the 255 x 255 input image for translation data augmentation. It won't affect tracking, since the Siamese network learns a similarity metric that is position agnostic.

Please also refer to #32

[shuida]

ok，thank you.