Table of Contents
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""" | |
Create train, valid, test iterators for CIFAR-10 [1]. | |
Easily extended to MNIST, CIFAR-100 and Imagenet. | |
[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4 | |
""" | |
import torch | |
import numpy as np |
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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from matplotlib import pyplot as plt | |
import cv2 | |
img = cv2.imread('/Users/mustafa/test.jpg') | |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
plt.imshow(gray) | |
plt.title('my picture') | |
plt.show() |
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# top-most EditorConfig file | |
root = true | |
# Unix-style newlines with a newline ending every file | |
[*] | |
charset = utf-8 | |
trim_trailing_whitespace = true | |
end_of_line = lf | |
insert_final_newline = true |
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from keras import backend as K, initializers, regularizers, constraints | |
from keras.engine.topology import Layer | |
def dot_product(x, kernel): | |
""" | |
Wrapper for dot product operation, in order to be compatible with both | |
Theano and Tensorflow | |
Args: |
C++ code style written in markdown.
Astyle code automatic formatting settings
You can use clang-format too.
Use tools like vera++
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## Pre-requisite: You have to know your last commit message from your deleted branch. | |
git reflog | |
# Search for message in the list | |
# a901eda HEAD@{18}: commit: <last commit message> | |
# Now you have two options, either checkout revision or HEAD | |
git checkout a901eda | |
# Or | |
git checkout HEAD@{18} |
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{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', |