Tensorflow read a large number of images? about create_tfrecords HOT 1 CLOSED

        #Load the files into one input queue
        images = tf.convert_to_tensor(image_files)
        annotations = tf.convert_to_tensor(annotation_files)
        input_queue = tf.train.slice_input_producer([images, annotations]) #Slice_input producer shuffles the data by default.

        #Decode the image and annotation raw content
        image = tf.read_file(input_queue[0])
        image = tf.image.decode_image(image, channels=3)

        #preprocess and batch up the image and annotation
        preprocessed_image, preprocessed_annotation = preprocess(image, annotation, image_height, image_width)
        images, annotations = tf.train.batch([preprocessed_image, preprocessed_annotation], batch_size=batch_size, allow_smaller_final_batch=True)