With function bellow using ImageDataGenerator and after that flow_from_directory. It’s gonna solve shuffle problem which exist when we predict with model using test_generator as data, giving us Y which is not matching to his pair X import math import numpy as np number_of_examples = len(test_generator.filenames) number_of_generator_calls = math.ceil(number_of_examples / (1.0 * batch_size)) x_final = np.empty((0,… Continue reading Image DataGenerator getting X and Y for each picture
Category: Image processing
Best pre-trained model
NASNet je najbolji model? https://towardsdatascience.com/how-to-choose-the-best-keras-pre-trained-model-for-image-classification-b850ca4428d4