[YOLOX-X] [Faster-RCNN] Error when outputting to h5 file. AttributeError: 'numpy.dtype[int64]' object has no attribute 'item'

[PINTO0309]

Issue Type

Others

onnx2tf version number

1.5.28

onnx version number

1.13.0

tensorflow version number

2.10.0

Download URL for ONNX

https://s3.ap-northeast-2.wasabisys.com/temp-models/onnx2tf_146/yolox_x.onnx
https://github.com/PINTO0309/onnx2tf/releases/download/1.1.28/faster_rcnn-10.onnx

Parameter Replacement JSON

N/A

Description

1. Persnal
2. Error when outputting to Keras(h5) file

   onnx2tf -i yolox_x.onnx -oh5
   

   'numpy.dtype[int64]' object has no attribute 'item'
     File "/home/xxxxx/git/onnx2tf/onnx2tf/onnx2tf.py", line 744, in convert
       model.save(f'{output_folder_path}/{output_file_name}_float32.h5')
     File "/home/xxxxx/git/onnx2tf/onnx2tf/onnx2tf.py", line 1735, in main
       model = convert(
     File "/home/xxxxx/git/onnx2tf/onnx2tf/onnx2tf.py", line 1786, in <module>
       main()
   AttributeError: 'numpy.dtype[int64]' object has no attribute 'item'
   

   The problem does not occur in YOLOX-S. Thus, I see a problem on the part of Post-Process.
   https://s3.ap-northeast-2.wasabisys.com/temp-models/onnx2tf_146/yolox_s.onnx

[PINTO0309]

I found that any place that uses np.dtype for the value Cast causes it to Abort. Therefore, I added a process to convert all of them to tf.dtype.