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@aaronpolhamus
aaronpolhamus / map_clsloc.txt
Created May 12, 2016 01:21
Image net classes + labels
n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat
@yrevar
yrevar / imagenet1000_clsidx_to_labels.txt
Last active October 8, 2024 09:04
text: imagenet 1000 class idx to human readable labels (Fox, E., & Guestrin, C. (n.d.). Coursera Machine Learning Specialization.)
{0: 'tench, Tinca tinca',
1: 'goldfish, Carassius auratus',
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
3: 'tiger shark, Galeocerdo cuvieri',
4: 'hammerhead, hammerhead shark',
5: 'electric ray, crampfish, numbfish, torpedo',
6: 'stingray',
7: 'cock',
8: 'hen',
9: 'ostrich, Struthio camelus',
@KeremTurgutlu
KeremTurgutlu / nn_interpolate.py
Last active May 22, 2023 18:19
Nearest Neighbor Interpolation in Numpy
from collections import Counter
def nn_interpolate(A, new_size):
"""
Nearest Neighbor Interpolation, Step by Step
"""
# get sizes
old_size = A.shape
# calculate row and column ratios