def _dataset_parser_with_slide()

in src/train.py [0:0]

• 14 lines of code
• 1 McCabe index (conditional complexity)

def _dataset_parser_with_slide(value):
    image_feature_description = {
        'label': tf.io.FixedLenFeature([], tf.int64),
        'image_raw': tf.io.FixedLenFeature([], tf.string),
        'slide_string': tf.io.FixedLenFeature([], tf.string)
    }
    example = tf.io.parse_single_example(value, image_feature_description)
    image = tf.io.decode_raw(example['image_raw'], tf.float32)
    image = tf.cast(image, tf.float32)
    image.set_shape([DEPTH * HEIGHT * WIDTH])
    image = tf.cast(tf.reshape(image, [HEIGHT, WIDTH, DEPTH]), tf.float32)
    label = tf.cast(example['label'], tf.int32)
    slide = example['slide_string']

    return image, label, slide