code: def dataset(self):
      return tf.data.Dataset.from_generator(
          lambda: self,
          output_signature=(
              tf.TensorSpec(
                  shape=(None, 608, 608, 3), dtype=tf.float32
              ),
              tf.TensorSpec(shape=(None, None, 5), dtype=tf.float32),
          ),
      ).prefetch(tf.data.AUTOTUNE)
  
file_path: DALI/docs/examples/use_cases/tensorflow/yolov4/src/np/pipeline.py
imports: from .coco import COCO
  import numpy
  import tensorflow
  import os
  import cv2
  import random
label_desc: Use image node_id 9 for calling the YOLOv4PipelineNumpy obj's underlying member method code with example usage: obj.dataset() and returns: tf