Update window_sizes.rst
@@ -115,10 +115,10 @@ x 76``-pixel prediction when the input size is ``100 x 100``, we have to adjust
the sampling step of the grid window sampler so that all input spatial
locations get evaluated by the network.
-Therefore, for the grid window sampler,
+Therefore,
-1. we would like to have ``100 x 100``-pixel window generated with a step size
- of ``76`` in both directions;
+1. for the grid window sampler, we would like to have ``100 x 100``-pixel
+ window generated with a step size of ``76`` in both directions;
2. for the window aggregation, the spatial coordinates of the ``76 x 76``-pixel
window should be adjusted, for example, from the input's window coordinates
@@ -132,7 +132,6 @@ The follow figure shows `input` image window sampling with the configurations::
# in the input source section
spatial_window_size = (100, 100)
-
# in the [NETWORK] section
volume_padding_size = (50, 50)
volume_padding_mode = 'constant'
@@ -184,7 +183,7 @@ Other features
2.5D windows
~~~~~~~~~~~~
-Examples in the previous are in 2-D, but the idea generalises to 3D input::
+Examples in the previous section are in 2-D, but the idea generalises to 3D input::
spatial_window_size = (h, w, d)
