Utility function for calculating the shape of a conv output

vision
5

in case anyone else end’s up here…

"""
Utility function for computing output of convolutions
takes a tuple of (h,w) and returns a tuple of (h,w)
"""
def conv_output_shape(h_w, kernel_size=1, stride=1, pad=0, dilation=1):
    from math import floor
    if type(kernel_size) is not tuple:
        kernel_size = (kernel_size, kernel_size)
    h = floor( ((h_w[0] + (2 * pad) - ( dilation * (kernel_size[0] - 1) ) - 1 )/ stride) + 1)
    w = floor( ((h_w[1] + (2 * pad) - ( dilation * (kernel_size[1] - 1) ) - 1 )/ stride) + 1)
    return h, w
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