--- a/rowit.py	Fri Mar 11 23:37:49 2022 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,76 +0,0 @@
-import numpy as np
-from skimage.util import view_as_windows, montage
-
-
-class WindowView(object):
-
-    def __init__(
-        self, img_shape, block_size, overlap_size
-    ):
-        self.img_shape = img_shape
-        self.block_size = block_size
-        self.overlap_size = overlap_size
-
-        self.step_size = block_size - overlap_size
-
-    def window_view_list(self, img, pad_mode='constant'):
-        half = int(self.overlap_size / 2)
-        img = np.pad(img, (
-            (half, self.padded_shape[0] - self.img_shape[0] - half), 
-            (half, self.padded_shape[1] - self.img_shape[1] - half),
-        ), mode=pad_mode)
-        
-        return self._window_view_list(img)
-    
-    def padding_mask(self):
-        half = int(self.overlap_size / 2)
-        padding_mask = np.ones(self.img_shape, dtype=np.bool)
-        padding_mask = np.pad(padding_mask, (
-            (half, self.padded_shape[0] - self.img_shape[0] - half), 
-            (half, self.padded_shape[1] - self.img_shape[1] - half),
-        ), mode='constant', constant_values=0)
-        return self._window_view_list(padding_mask)
-
-    def reconstruct(self, img_window_view_list):
-        grid_shape = self.window_view_shape[:2]
-
-        start = int(self.overlap_size / 2)
-        end = int(self.block_size - start)
-
-        img_window_view_list = img_window_view_list[..., start:end, start:end]
-
-        return montage(
-            img_window_view_list, grid_shape=grid_shape
-        )[:self.img_shape[0], :self.img_shape[1]]
-        
-    @property
-    def padded_shape(self):
-        padded_shape = np.array(self.img_shape) + self.overlap_size
-        n = np.ceil((padded_shape - self.block_size) / self.step_size)
-        padded_shape = (self.block_size + (n * self.step_size)).astype(np.int)
-        return tuple(padded_shape)
-
-    @property 
-    def window_view_shape(self):
-        return view_as_windows(
-            np.empty(self.padded_shape), 
-            self.block_size, self.step_size
-        ).shape
-
-    def _window_view_list(self, img):
-        return (
-            view_as_windows(img, self.block_size, self.step_size)
-                .reshape(-1, self.block_size, self.block_size)
-        )
-
-def crop_with_padding_mask(img, padding_mask, return_mask=False):
-    if np.all(padding_mask == 1):
-        return (img, padding_mask) if return_mask else img
-    (r_s, r_e), (c_s, c_e) = [
-        (i.min(), i.max() + 1)
-        for i in np.where(padding_mask == 1)
-    ]
-    padded = np.zeros_like(img)
-    img = img[r_s:r_e, c_s:c_e]
-    padded[r_s:r_e, c_s:c_e] = 1
-    return (img, padded) if return_mask else img
\ No newline at end of file