Mastering Computer Vision with TensorFlow 2.x

Loop function for importing multiple images and processing using TensorFlow Keras

This section describes how to import multiple images in a batch to process all of them together rather than importing them one by one. This is a critical skill to learn as, in most production applications, you will not be importing images one by one. The code for a loop function for importing and processing multiple images using TensorFlow Keras is as follows:

for image1 in images: i+=1 im = image.load_img(folder_path+image1, target_size=(224, 224)) img_data = image.img_to_array(im) img_data = np.expand_dims(img_data, axis=0)img_data = preprocess_input(img_data)resnet_feature = model_resnet.predict(img_data,verbose=0) label = decode_predictions(resnet_feature) ...