Image Step 2: Create a utility function and encoder to make each element of our dataset compatible for tf.Example. Arguments; directory: Directory where the data is located. TensorFlow Dataset On Line 32 we begin to loop over dataset type, image paths, and output directory. IMAGE_SHAPE = (224, 224) # (height, width) in no. Setup. To train a Tensorflow Object Detection model, you need to create TFRecords, which uses the following: 1. Download notebook. And this class has a flow_from_directory function that handles the preparation of the training and validation data for us with ease. tensorflow dataset tf.keras.preprocessing.image_dataset_from_directory - TensorFlow …
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