load_weights error --> downgrade protobuf

[thajmoha-PARC]

`$ python load_weights.py Traceback (most recent call last): File "load_weights.py", line 4, in from yolov3_tf2.models import YoloV3, YoloV3Tiny File "C:\Users\tmohamad\Desktop\yolov3_deepsort\yolov3_tf2\models.py", line 4, in
import tensorflow as tf File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow__init.py", line 98, in from tensorflow_core import * File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core__init.py", line 40, in from tensorflow.python.tools import module_util as _module_util File "", line 983, in _find_and_load File "", line 959, in _find_and_load_unlocked File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow__init.py", line 50, in getattr__ module = self._load() File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow\init__.py", line 44, in _load module = _importlib.import_module(self.name) File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\importlib__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\python__init__.py", line 52, in from tensorflow.core.framework.graph_pb2 import * File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\graph_pb2.py", line 16, in from tensorflow.core.framework import node_def_pb2 as tensorflow_dot_core_dot_framework_dot_nodedefpb2 File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\node_def_pb2.py", line 16, in from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attrvaluepb2 File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\attr_value_pb2.py", line 16, in from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensorpb2 File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\tensor_pb2.py", line 16, in from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resourcehandle__pb2 File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\resource_handle_pb2.py", line 16, in from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensorshapepb2 File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\tensorflow_core\core\framework\tensor_shape_pb2.py", line 42, in serialized_options=None, file=DESCRIPTOR), File "C:\Users\tmohamad\Miniconda3\envs\tracker-cpu\lib\site-packages\google\protobuf\descriptor.py", line 560, in new__ _message.Message._CheckCalledFromGeneratedFile() TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are:

1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates`

solution: pip install protobuf==3.20.0