ATC_YOLOv3_from_tf_Ascend310 python implementation for inference process

This implementation (https://www.hiascend.com/en/software/modelzoo/detail/1/5c3ec43f66ba455a9992fff905c6d687) of yolov3 with darknet backbone  based in this Tensorflow implementation https://github.com/wizyoung/YOLOv3_TensorFlow  has two .om models and 1 .pb model files.

yolov3_framework_tensorflow_aipp_1_batch_1_input_fp16_output_FP32.om

yolov3_framework_tensorflow_aipp_1_batch_4_input_fp16_output_FP32.om

yolov3_tf.pb

Considering the fact that the original tensorflow implementation use just ckpt files to performe inference. Exist some python implementation (pre process and pos process functions)  to perform inference using these .om files for Atlas200DK?

Thanks for your support