如何像MNIST数据集一样创建图像数据集? [英] How to create a Image Dataset just like MNIST dataset?

问题描述

我有10000个BMP图像，其中包含一些手写数字.如果我想将数据馈送到神经网络，我该怎么办?对于MNIST数据集，我只需要写

(X_train, y_train), (X_test, y_test) = mnist.load_data()

我在python中使用Keras库.如何创建此类数据集?

解决方案

您可以编写一个函数来加载所有图像，如果所有图像都适合RAM，则将它们堆叠到一个numpy数组中，或者使用Keras ImageDataGenerator( https://gist.github.com/fchollet/0830affa1f7f19fd47b06d4cf89ed44d . /p>

I have 10000 BMP images of some handwritten digits. If i want to feed the datas to a neural network what do i need to do ? For MNIST dataset i just had to write

(X_train, y_train), (X_test, y_test) = mnist.load_data()

I am using Keras library in python . How can i create such dataset ?

解决方案

You can either write a function that loads all your images and stack them into a numpy array if all fits in RAM or use Keras ImageDataGenerator (https://keras.io/preprocessing/image/) which includes a function flow_from_directory. You can find an example here https://gist.github.com/fchollet/0830affa1f7f19fd47b06d4cf89ed44d.

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