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- batch_size = 32
- dirpath = os.path.dirname(__file__)
- classes = os.listdir('training_data')
- num_classes = len(classes)
- validation_size = 0.2
- img_size = 128
- num_channels = 3
- train_path='training_data'
- data = dataUtility.read_train_sets(train_path, img_size, classes, validation_size=validation_size)
- print("Number of files in Training-set:\t\t{}".format(len(data.train.labels)))
- print("Number of files in Validation-set:\t{}".format(len(data.valid.labels)))
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