HybridModel-GradCAM / utils /swin_window.py
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import tensorflow as tf
def window_partition(x, window_size):
_, height, width, channels = x.shape
patch_num_y = height // window_size
patch_num_x = width // window_size
x = tf.reshape(
x, shape=(-1, patch_num_y, window_size, patch_num_x, window_size, channels)
)
x = tf.transpose(x, (0, 1, 3, 2, 4, 5))
windows = tf.reshape(x, shape=(-1, window_size, window_size, channels))
return windows
def window_reverse(windows, window_size, height, width, channels):
patch_num_y = height // window_size
patch_num_x = width // window_size
x = tf.reshape(
windows,
shape=(-1, patch_num_y, patch_num_x, window_size, window_size, channels),
)
x = tf.transpose(x, perm=(0, 1, 3, 2, 4, 5))
x = tf.reshape(x, shape=(-1, height, width, channels))
return x