物体検出の学習実行前にエラーが出てしまう。

リンク内容とリンク内容を参考に物体検出を試みています。

train.pyを実行しようとしたらこのようなエラーが出てしまいました。

Using TensorFlow backend.
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2022-05-30 19:05:25.009512: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2022-05-30 19:05:25.124296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: NVIDIA GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.392
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.30GiB
2022-05-30 19:05:25.124469: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2022-05-30 19:05:25.409431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-05-30 19:05:25.409587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0
2022-05-30 19:05:25.410535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N
2022-05-30 19:05:25.411125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3004 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
Create YOLOv3 model with 9 anchors and 6 classes.
Traceback (most recent call last):
  File "train.py", line 192, in <module>
    _main()
  File "train.py", line 35, in _main
    freeze_body=2, weights_path='model_data/yolo_weights.h5') # make sure you know what you freeze
  File "train.py", line 122, in create_model
    model_body.load_weights(weights_path, by_name=True, skip_mismatch=True)
  File "C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\keras\engine\saving.py", line 492, in load_wrapper
    return load_function(*args, **kwargs)
  File "C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\keras\engine\network.py", line 1227, in load_weights
    reshape=reshape)
  File "C:\Users\isl\Anaconda3\envs\yolov3\lib\site-packages\keras\engine\saving.py", line 1262, in load_weights_from_hdf5_group_by_name
    original_keras_version = f.attrs['keras_version'].decode('utf8')
AttributeError: 'str' object has no attribute 'decode'