Mohit Lamba MohitLamba94
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MohitLamba94
/ Experimental_Receptive_Field.py
Last active
July 21, 2020 10:22
This python file finds the numerical/experimental receptive field of any complicated CNN.
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| import numpy as np | |
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| import torch.nn.init as init | |
| import imageio | |
| def downshuffle(var,r): | |
| b,c,h,w = var.size() | |
| out_channel = c*(r**2) |
MohitLamba94
/ getColourfulness.m
Last active
March 11, 2024 13:48
— forked from zabela/getColourfulness.m
Algorithm to measure images colourfulness, adapted from "Measuring colourfulness in natural images" (Hasler and Susstrunk, 2003) http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf
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| function C = getColourfulness( im ) | |
| % | |
| % C = getColourfulness( im ) | |
| % | |
| % MATLAB algorithm implementation of the | |
| % "Measuring colourfulness in natural images" | |
| % (Hasler and Susstrunk, 2003) | |
| % | |
| % Input: | |
| % im - image in RGB |