520e8fb57b890a7249334d9e90c9ad209d0b849f,modules.py,retina,extract_patch,#retina#,73

Before Change

            if self.exceeds(from_x, to_x, from_y, to_y, T):
                pad_dims = [
                    (0, 0), (size//2+1, size//2+1),
                    (size//2+1, size//2+1), (0, 0),
                ]
                p = p.numpy()
                p = np.pad(p, pad_dims, mode="constant")
                p = torch.from_numpy(p)

                // add correction factor
                from_x += (size//2+1)

After Change

            from_y, to_y = patch_y[i], patch_y[i] + size

            // cast to ints
            from_x, to_x = from_x.data[0], to_x.data[0]
            from_y, to_y = from_y.data[0], to_y.data[0]

            // pad tensor in case exceeds

Instances