calc DeepLab receptive field

calc.py

#!/usr/bin/env python
# net architecture of http://ccvl.stat.ucla.edu/ccvl/DeepLab/train.prototxt
# format: [kernel, stride]
deep_lab_vgg = [
    # 1
    [3, 1], 
    [3, 1], 
    [2, 2],
    # 2
    [3, 1], 
    [3, 1], 
    [2, 2],
    # 3
    [3, 1], 
    [3, 1], 
    [3, 1], 
    [2, 2],
    # 4
    [3, 1], 
    [3, 1], 
    [3, 1], 
    [2, 1],
    # 5
    [5, 1], 
    [5, 1],
    [5, 1], 
    [3, 1],
    # fc6, kernel=4, hole=4
    [13, 1]
]

# K: composed kernel, also the receptive field 
# S: composed stride
K, S = 1, 1
for i in range(len(deep_lab_vgg)):
    k, s = deep_lab_vgg[i]
    K = (k-1) * S + K
    S = S * s
    print 'layer:', i, deep_lab_vgg[i], '[', K, S, ']'

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