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import numpy as np

n_classes = 10
class_matrix = np.eye(n_classes)
"""
class_matrix should be obtained as below:
array([[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
       [0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
       [0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 1, 0, 0, 0, 0, 0, 0],

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import numpy as np

"""
In this gist, I demonstrate the simple ways to
convert between 2 colorspace representation of images 
mutually(RGB, BGR).
"""
CONVERSION_ORDER = [2, 1, 0]

def convert_channel(img):

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datagen = ImageDataGenerator(
        featurewise_center=True, # set input mean to 0 over the dataset
        samplewise_center=False, # set each sample mean to 0
        featurewise_std_normalization=True, # divide inputs by std of the dataset
        samplewise_std_normalization=False, # divide each input by its std
        zca_whitening=False, # apply ZCA whitening
        rotation_range=20, # randomly rotate images in the range (degrees, 0 to 180)
        width_shift_range=0.2, # randomly shift images horizontally (fraction of total width)
        height_shift_range=0.2, # randomly shift images vertically (fraction of total height)
        horizontal_flip=True, # randomly flip images

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from keras.preprocessing.image import ImageDataGenerator,standardize,random_transform
# input generator with standardization on
datagenX = ImageDataGenerator(
    featurewise_center=True,
    featurewise_std_normalization=True,
    featurewise_standardize_axis=(0, 2, 3),
    rotation_range=180,
    width_shift_range=0.2,
    height_shift_range=0.2,
    horizontal_flip=True,

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https://keras.io/preprocessing/image/

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#1. Install libstdc++6
sudo apt-get install libstdc++6

#2. Copy to envs/tensorflow/bin/../lib/
cp /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /home/username/anaconda/envs/tensorflow/bin/../lib/

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from keras.models import Sequential
from keras.layers import Dense
from keras.utils.io_utils import HDF5Matrix
import numpy as np

def create_dataset():
    import h5py
    X = np.random.randn(200,10).astype('float32')
    y = np.random.randint(0, 2, size=(200,1))
    f = h5py.File('test.h5', 'w')

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Warning message: Duplicate key in file "/home/username/.matplotlib/matplotlibrc", line #2


>>> Solution:
Just go to the file "/home/username/.matplotlib/matplotlibrc" and
Remove the duplicate key

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ssh-keygen - t rsa

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## Download file from the url
https://www.anaconda.com/download/#macos

## Run the graphical installer

## Install Tensorflow version 1.6
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py3-none-any.whl

## Install Keras
pip install keras