I am training for Object Detection using the Tensorflow Object Detection API Tutorial. here is the link:Tensorflow Object Detetction Docs Tutorial
but I am getting an error when I run: !python model_main_tf2.py --model_dir=/content/drive/MyDrive/colab/Tensorflow/workspace/training_demo/models/my_ssd_resnet50_v1_fpn --pipeline_config_path=/content/drive/MyDrive/colab/Tensorflow/workspace/training_demo/models/my_ssd_resnet50_v1_fpn/pipeline.config
and after I run that script I get this error: `AttributeError: in user code:
File "/usr/local/lib/python3.10/dist-packages/object_detection/data_decoders/tf_example_decoder.py", line 556, in decode *
tensors = decoder.decode(serialized_example, items=keys)
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 722, in decode *
outputs.append(handler.tensors_to_item(keys_to_tensors))
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 405, in tensors_to_item *
return self._decode(image_buffer, image_format)
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 453, in _decode *
image = control_flow_ops.case(
AttributeError: module 'tensorflow.python.ops.control_flow_ops' has no attribute 'case'`
has anyone any clue on what did I do wrong there? I followed the Tensorflow Object Detection Docs tutorial step by step but I still do not understand why is giving me that error.