Cannot convert yolo-v4-tf model

[leandrosansilva]

I am trying to download and convert the yolo-v4-tf model, but the conversion fails.

Here is how you can reproduce the error (I am on a clean, fresh install of Ubuntu 24.04 on amd64):

pip install openvino-dev tensorflow
omz_downloader --name yolo-v4-tf
omz_converter --name yolo-v4-tf

Pip install reports:

Installing collected packages: openvino-telemetry, namex, libclang, flatbuffers, wrapt, urllib3, typing-extensions, termcolor, tensorboard-data-server, six, pyyaml, pygments, protobuf, packaging, opt-einsum, numpy, networkx, mdurl, MarkupSafe, markdown, idna, grpcio, gast, defusedxml, charset-normalizer, certifi, absl-py, werkzeug, requests, optree, openvino, ml-dtypes, markdown-it-py, h5py, google-pasta, astunparse, tensorboard, rich, openvino-dev, keras, tensorflow
Successfully installed MarkupSafe-3.0.2 absl-py-2.1.0 astunparse-1.6.3 certifi-2025.1.31 charset-normalizer-3.4.1 defusedxml-0.7.1 flatbuffers-25.2.10 gast-0.6.0 google-pasta-0.2.0 grpcio-1.70.0 h5py-3.13.0 idna-3.10 keras-3.8.0 libclang-18.1.1 markdown-3.7 markdown-it-py-3.0.0 mdurl-0.1.2 ml-dtypes-0.4.1 namex-0.0.8 networkx-3.1 numpy-1.26.4 openvino-2024.6.0 openvino-dev-2024.6.0 openvino-telemetry-2025.0.1 opt-einsum-3.4.0 optree-0.14.0 packaging-24.2 protobuf-5.29.3 pygments-2.19.1 pyyaml-6.0.2 requests-2.32.3 rich-13.9.4 six-1.17.0 tensorboard-2.18.0 tensorboard-data-server-0.7.2 tensorflow-2.18.0 termcolor-2.5.0 typing-extensions-4.12.2 urllib3-2.3.0 werkzeug-3.1.3 wrapt-1.17.2

And this is the error that happens:

========== Running pre-convert script for yolo-v4-tf
Pre-convert command: /usr/bin/python3 -- /usr/local/lib/python3.12/dist-packages/omz_tools/models/public/yolo-v4-tf/pre-convert.py -- /public/yolo-v4-tf /public/yolo-v4-tf

2025-02-25 20:34:58.539189: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2025-02-25 20:34:58.541510: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2025-02-25 20:34:58.547794: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1740515698.557939    4813 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1740515698.561121    4813 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2025-02-25 20:34:58.572535: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Loading weights.
Weights Header:  0 2 5 [32032000]
Parsing Darknet config.
Creating Keras model.
Parsing section net_0
Parsing section convolutional_0
/public/yolo-v4-tf/keras-YOLOv3-model-set/tools/model_converter/convert.py:406: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  _main(parser.parse_args())
conv2d bn mish (3, 3, 3, 32)
Traceback (most recent call last):
  File "/public/yolo-v4-tf/keras-YOLOv3-model-set/tools/model_converter/convert.py", line 406, in <module>
    _main(parser.parse_args())
  File "/public/yolo-v4-tf/keras-YOLOv3-model-set/tools/model_converter/convert.py", line 235, in _main
    conv_layer = (Conv2D(
                  ^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/keras/src/layers/convolutional/conv2d.py", line 109, in __init__
    super().__init__(
  File "/usr/local/lib/python3.12/dist-packages/keras/src/layers/convolutional/base_conv.py", line 107, in __init__
    super().__init__(activity_regularizer=activity_regularizer, **kwargs)
  File "/usr/local/lib/python3.12/dist-packages/keras/src/layers/layer.py", line 287, in __init__
    raise ValueError(
ValueError: Unrecognized keyword arguments passed to Conv2D: {'weights': [array([[[[-4.95470554e-01,  1.86482286e+00,  1.32324263e-01,
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Traceback (most recent call last):
  File "/usr/local/lib/python3.12/dist-packages/omz_tools/models/public/yolo-v4-tf/pre-convert.py", line 40, in <module>
    main()
  File "/usr/local/lib/python3.12/dist-packages/omz_tools/models/public/yolo-v4-tf/pre-convert.py", line 30, in main
    subprocess.run([sys.executable, '--',
  File "/usr/lib/python3.12/subprocess.py", line 571, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['/usr/bin/python3', '--', '/public/yolo-v4-tf/keras-YOLOv3-model-set/tools/model_converter/convert.py', '/public/yolo-v4-tf/keras-YOLOv3-model-set/cfg/yolov4.cfg', '/public/yolo-v4-tf/yolov4.weights', '/public/yolo-v4-tf/yolo-v4.savedmodel', '--yolo4_reorder']' returned non-zero exit status 1.

FAILED:
yolo-v4-tf