Generative Adversarial Networks Projects

Loading the samples

To train the DCGAN network, we need to load the dataset in memory and we need to define a mechanism to load batches of memory. Perform the following steps to load the dataset:

1. Start by loading all images that you cropped, resized, and saved in the cropped folder. Specify the path of the directory correctly, so that the glob.glob method can create a list of all files in it. To read an image, use the imread method from the scipy.misc module. The following code shows the different steps to load all images inside the directory:

# Loading imagesall_images = []for index, filename in enumerate(glob.glob('/Path/to/cropped/images/directory/*.*')):    image = imread(filename, flatten=False, mode='RGB')    all_images.append(image)