在Tensorflow==2.5中使用model_zoo的faster_rcnn_resnet101_v1_640x640_coco17_tpu-8时遇到错误

问题描述

我正在使用 python 3.8 和 tensor flow=2.5，我想使用 faster_rcnn_resnet101_v1_640x640_coco17_tpu-8 模型进行对象检测，但我面临以下错误。

错误：

Traceback (most recent call last):
  File "Tensorflow\models\research\object_detection\model_main_tf2.py",line 113,in <module>
    tf.compat.v1.app.run()
  File "C:\Users\priyabrata\AppData\Roaming\Python\python38\site-packages\tensorflow\python\platform\app.py",line 40,in run
    _run(main=main,argv=argv,flags_parser=_parse_flags_tolerate_undef)
  File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\absl\app.py",line 303,in run
    _run_main(main,args)
  File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\absl\app.py",line 251,in _run_main
    sys.exit(main(argv))
  File "Tensorflow\models\research\object_detection\model_main_tf2.py",line 104,in main
    model_lib_v2.train_loop(
  File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\model_lib_v2.py",line 535,in train_loop
    detection_model = MODEL_BUILD_UTIL_MAP['detection_model_fn_base'](
  File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\builders\model_builder.py",line 1199,in build
    return build_func(getattr(model_config,Meta_architecture),is_training,File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\builders\model_builder.py",line 391,in _build_ssd_model
    _check_feature_extractor_exists(ssd_config.feature_extractor.type)
  File "C:\Users\priyabrata\anaconda3\envs\new_tfod_env\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\builders\model_builder.py",line 263,in _check_feature_extractor_exists
    raise ValueError('{} is not supported. See `model_builder.py` for features '
ValueError:  is not supported. See `model_builder.py` for features extractors compatible with different versions of Tensorflow

解决方法

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