我想在Tensorflow lite框架中使用yolov 4-tiny来计算视频中跨越虚拟线的对象。
我使用以下命令转换了从AlexeyAB's repo训练的暗网权重：

python save_model.py --weights yolov4-tiny.weights --output ./checkpoints/yolov4-tiny-608-tf --input_size 608 --model yolov4 --tiny --framework tflite

python convert_tflite.py --weights ./checkpoints/yolov4-tiny-608-tf --output ./checkpoints/yolov4-tiny-608.tflite

您可以找到convert_tflite.py here
第一个命令使用numpy==1.19.0成功执行。但是，第二个命令显示以下错误：

loc("batch_normalization/moving_mean"): error: is not immutable, try running tf-saved-model-optimize-global-tensors to prove tensors are immutable
Traceback (most recent call last):
  File "C:\Python37\lib\site-packages\tensorflow\lite\python\convert.py", line 213, in toco_convert_protos
    enable_mlir_converter)
  File "C:\Python37\lib\site-packages\tensorflow\lite\python\wrap_toco.py", line 38, in wrapped_toco_convert
    enable_mlir_converter)
Exception: <unknown>:0: error: loc("batch_normalization/moving_mean"): is not immutable, try running tf-saved-model-optimize-global-tensors to prove tensors are immutable

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "convert_tflite.py", line 76, in <module>
    app.run(main)
  File "C:\Python37\lib\site-packages\absl\app.py", line 303, in run
    _run_main(main, args)
  File "C:\Python37\lib\site-packages\absl\app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "convert_tflite.py", line 71, in main
    save_tflite()
  File "convert_tflite.py", line 45, in save_tflite
    tflite_model = converter.convert()
  File "C:\Python37\lib\site-packages\tensorflow\lite\python\lite.py", line 762, in convert
    result = _convert_saved_model(**converter_kwargs)
  File "C:\Python37\lib\site-packages\tensorflow\lite\python\convert.py", line 648, in convert_saved_model
    enable_mlir_converter=True)
  File "C:\Python37\lib\site-packages\tensorflow\lite\python\convert.py", line 216, in toco_convert_protos
    raise ConverterError(str(e))
tensorflow.lite.python.convert.ConverterError: <unknown>:0: error: loc("batch_normalization/moving_mean"): is not immutable, try running tf-saved-model-optimize-global-tensors to prove tensors are immutable

我尝试过其他版本的Tensorflow（2.2，2.3，2.4），但没有成功。我该怎么办？
这里提出了一个类似的问题：Tensorflow Issue 44790
以下是我的系统详细信息：Windows 10，x64 GeForce GTX 1060 NVIDIA驱动程序460.89 CUDA 11.0.3 CuDNN8.0.5.39Python 3.7.2