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Add retinanet convert doc (#6342)

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docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_RetinaNet_From_Tensorflow.md Normal file
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# Converting RetinaNet Model from TensorFlow* to the Intermediate Representation {#openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_RetinaNet_From_Tensorflow}
This tutorial explains how to convert RetinaNet model to the Intermediate Representation (IR).
[Public RetinaNet model](https://github.com/fizyr/keras-retinanet) does not contain pretrained TensorFlow\* weights.
To convert this model to the TensorFlow\* format, you can use [Reproduce Keras* to TensorFlow* Conversion tutorial](https://docs.openvinotoolkit.org/latest/omz_models_model_retinanet_tf.html).
After you convert the model to TensorFlow* format, run the Model Optimizer command below:
```sh
python mo.py --input "input_1[1 1333 1333 3]" --input_model retinanet_resnet50_coco_best_v2.1.0.pb --data_type FP32 --transformations_config ./extensions/front/tf/retinanet.json
```
Where `transformations_config` command-line parameter specifies the configuration json file containing model conversion hints for the Model Optimizer.
The json file contains some parameters that need to be changed if you train the model yourself. It also contains information on how to match endpoints
to replace the subgraph nodes. After the model is converted to IR, the output nodes will be replaced with DetectionOutput layer.

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<tab type="user" title="Converting DeepSpeech Model from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_DeepSpeech_From_Tensorflow"/> <tab type="user" title="Converting DeepSpeech Model from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_DeepSpeech_From_Tensorflow"/>
<tab type="user" title="Converting Language Model on One Billion Word Benchmark from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_lm_1b_From_Tensorflow"/> <tab type="user" title="Converting Language Model on One Billion Word Benchmark from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_lm_1b_From_Tensorflow"/>
<tab type="user" title="Converting TensorFlow* Object Detection API Models" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_Object_Detection_API_Models"/> <tab type="user" title="Converting TensorFlow* Object Detection API Models" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_Object_Detection_API_Models"/>
<tab type="user" title="Converting RetinaNet Model from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_RetinaNet_From_Tensorflow"/>
<tab type="user" title="Converting TensorFlow*-Slim Image Classification Model Library Models" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_Slim_Library_Models"/> <tab type="user" title="Converting TensorFlow*-Slim Image Classification Model Library Models" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_Slim_Library_Models"/>
<tab type="user" title="Converting CRNN Model from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_CRNN_From_Tensorflow"/> <tab type="user" title="Converting CRNN Model from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_CRNN_From_Tensorflow"/>
<tab type="user" title="Converting GNMT from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_GNMT_From_Tensorflow"/> <tab type="user" title="Converting GNMT from TensorFlow" url="@ref openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_GNMT_From_Tensorflow"/>