python-3.xtensorflowkerasjupyter-notebookconv-neural-network

Load several Images without label in keras cnn

I have several .jpeg images with different names, that I want to load into a cnn in a jupyter notebook to have them classified. The only way I found was:

test_image = image.load_img("name_of_picute.jpeg",target_size=(64,64))
test_image = image.img_to_array(test_image)
test_image = np.expand_dims(test_image, axis=0)
result = cnn.predict(test_image)

All the other things found at the Keras API like tf.keras.preprocessing.image_dataset_from_directory()seems to only work on labeled data. Sadly I can't "simply" iterate over the name of the pictures a they are named differently, is there a way to predict all of them at once without naming every single picture?

Thanks for yout help,

Nick

Solution

  • The solutiontf.keras.preprocessing.image_dataset_from_directory can be updated to return the dataset and the image_path as explained here -> https://stackoverflow.com/a/63725072/4994352