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[DOCS] old fix for yolo article 22.3 (#23934)

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Karol Blaszczak 2024-04-10 12:13:43 +02:00 committed by GitHub
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docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
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@ -39,13 +39,20 @@ This section explains how to convert the YOLOv4 Keras model from the [repository
python keras-YOLOv3-model-set/tools/model_converter/convert.py <path_to_cfg_file>/yolov4-tiny.cfg <path_to_weights>/yolov4-tiny.weights <saved_model_dir>
```
4. Run Model Optimizer to converter the model from the TensorFlow 2 format to an IR:
4. Run Model Optimizer to convert the model from the TensorFlow 2 format to an IR:
> **NOTE**: Before you run the conversion, make sure you have installed all the Model Optimizer dependencies for TensorFlow 2.
> ```sh
> mo --saved_model_dir yolov4 --output_dir models/IRs --input_shape [1,608,608,3] --model_name yolov4
> ```
If you get errors, you may need to add the additional step to divide the input by 255:
```sh
--scale_values=image_input[255]
```
## <a name="yolov3-to-ir"></a>Converting YOLOv3 Model to the OpenVINO format
There are several public versions of TensorFlow YOLOv3 model implementation available on GitHub. This section explains how to convert YOLOv3 model from