Small python 3 tool to load the MNIST dataset from keras and save each entry to a .png file using matplotlib. This might be helpful if you are building a neural network for handwriting detection using the MNIST dataset and want to look at the numbers represented by the data quickly.
python3 main.py [destination dir] [mode] [start index] [end index]
where destination dir must be a valid directory name (default: ./mnist_images/)
(if it does not exist, it will be created)
mode must be either test or train (default: test)
start index must be an integer (default: 0)
end index must be an integer (default: 50)
python3 main.py ./mnist_images/ test 0 5This will create 5 png files in ./mnist_images/ containing the first 5 handwritten numbers of the MNIST dataset
.
├── main.py
└── mnist_images
└── test
├── mnist_test_0-7.png
├── mnist_test_1-2.png
├── mnist_test_2-1.png
├── mnist_test_3-0.png
└── mnist_test_4-4.png
The resulting images are created using matplotlib and look like the following: (mnist_test_0-7.png)
