Add notebook with TF2 Object Detection model conversion OOB with MO Python API (openvinotoolkit#1154)

* Add readme

* Add notebook for TF2 OD conversion to OpenVINO

* Update gitignore

* Apply suggestions from code review

Co-authored-by: Ryan Loney <ryanloney@gmail.com>

* Add 120 notebook to main readme

* Remove line breaks  from pip install command

* Add colab badge to notebook readme

* Add binder and colab badges to main readme

* Update wording in notebook readme

* Format notebook

* Change kernel spec in notebook

* Fix quotes in pip install command

* Remove TF version from notebook and readme

* Rename notebook and directory

* Add TF OD API description

* Add model inputs and outputs description

* Add next steps section

* Rename 120 notebook

* Rename 101 notebook

---------

Co-authored-by: Ryan Loney <ryanloney@gmail.com>

Author: yatarkan

.gitignore

@@ -101,7 +101,12 @@ dmypy.json
 
 # Notebook temporal files
 notebooks/*/output/**
+notebooks/*/model/**
+notebooks/*/data/**
 
 # cache directory
 notebooks/cache/*
 
+# Local pip cache directories
+pipcache/
+pipcache_openvino/

README.md

@@ -89,7 +89,7 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
 
 | Notebook | Description                                                                                                                 |
 | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |:----------------------------------------------------------------------------------------------------------------------------|
-| [101-tensorflow-to-openvino](notebooks/101-tensorflow-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-to-openvino%2F101-tensorflow-to-openvino.ipynb) | Convert TensorFlow models to OpenVINO IR                                                                                    |
+| [101-tensorflow-classification-to-openvino](notebooks/101-tensorflow-classification-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-classification-to-openvino%2F101-tensorflow-classification-to-openvino.ipynb) | Convert TensorFlow models to OpenVINO IR                                                                                    |
 | [102-pytorch-onnx-to-openvino](notebooks/102-pytorch-onnx-to-openvino/) | Convert PyTorch models to OpenVINO IR                                                                                       |
 | [103-paddle-to-openvino](notebooks/103-paddle-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F103-paddle-to-openvino%2F103-paddle-to-openvino-classification.ipynb) | Convert PaddlePaddle models to OpenVINO IR                                                                                  |
 | [104-model-tools](notebooks/104-model-tools/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F104-model-tools%2F104-model-tools.ipynb) | Download, convert and benchmark models from Open Model Zoo                                                                  |
@@ -107,6 +107,7 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
 | [117-model-server](notebooks/117-model-server/)| Introduction to model serving with OpenVINO™ Model Server (OVMS)                                                            |
 | [118-optimize-preprocessing](notebooks/118-optimize-preprocessing/)| Improve performance of image preprocessing step                                                                             |
 | [119-tflite-to-openvino](notebooks/119-tflite-to-openvino/) | Convert TensorFlow Lite models to OpenVINO IR                                                                                                            |
+| [120-tensorflow-object-detection-to-openvino](notebooks/120-tensorflow-object-detection-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F120-tensorflow-object-detection-to-openvino%2F120-tensorflow-object-detection-to-openvino.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/120-tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb) | Convert TensorFlow Object Detection models to OpenVINO IR                                                                                                            |
 
 <div id='-model-demos'/>
 

README_cn.md

@@ -81,7 +81,7 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 
 | Notebook | Description | 
 | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | 
-| [101-tensorflow-to-openvino](notebooks/101-tensorflow-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-to-openvino%2F101-tensorflow-to-openvino.ipynb) | 转换 TensorFlow模型为OpenVINO IR | 
+| [101-tensorflow-classification-to-openvino](notebooks/101-tensorflow-classification-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-classification-to-openvino%2F101-tensorflow-classification-to-openvino.ipynb) | 转换 TensorFlow模型为OpenVINO IR | 
 | [102-pytorch-onnx-to-openvino](notebooks/102-pytorch-onnx-to-openvino/) | 转换PyTorch模型为OpenVINO IR | 
 | [103-paddle-to-openvino](notebooks/103-paddle-to-openvino/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F103-paddle-to-openvino%2F103-paddle-to-openvino-classification.ipynb) | 转换PaddlePaddle模型为OpenVINO IR | 
 | [104-model-tools](notebooks/104-model-tools/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F104-model-tools%2F104-model-tools.ipynb) | 从Open Model Zoo进行模型下载，转换以及进行基线测试 | 

notebooks/001-hello-world/001-hello-world.ipynb

@@ -10,7 +10,7 @@
     "\n",
     "This basic introduction to OpenVINO™ shows how to do inference with an image classification model.\n",
     "\n",
-    "A pre-trained [MobileNetV3 model](https://docs.openvino.ai/2023.0/omz_models_model_mobilenet_v3_small_1_0_224_tf.html) from [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo/) is used in this tutorial. For more information about how OpenVINO IR models are created, refer to the [TensorFlow to OpenVINO](../101-tensorflow-to-openvino/101-tensorflow-to-openvino.ipynb) tutorial."
+    "A pre-trained [MobileNetV3 model](https://docs.openvino.ai/2023.0/omz_models_model_mobilenet_v3_small_1_0_224_tf.html) from [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo/) is used in this tutorial. For more information about how OpenVINO IR models are created, refer to the [TensorFlow to OpenVINO](../101-tensorflow-classification-to-openvino/101-tensorflow-classification-to-openvino.ipynb) tutorial."
    ]
   },
   {

notebooks/002-openvino-api/002-openvino-api.ipynb

@@ -115,7 +115,7 @@
     "An OpenVINO IR (Intermediate Representation) model consists of an `.xml` file, containing information about network topology, and a `.bin` file, containing the weights and biases binary data. Models in OpenVINO IR format are obtained by using Model Optimizer tool. The `read_model()` function expects the `.bin` weights file to have the same filename and be located in the same directory as the `.xml` file: `model_weights_file == Path(model_xml).with_suffix(\".bin\")`. If this is the case, specifying the weights file is optional. If the weights file has a different filename, it can be specified using the `weights` parameter in `read_model()`.\n",
     "\n",
     "The OpenVINO [Model Optimizer](https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html#doxid-openvino-docs-m-o-d-g-deep-learning-model-optimizer-dev-guide) tool is used to convert models to OpenVINO IR format. Model Optimizer reads the original model and creates an OpenVINO IR model (.xml and .bin files) so inference can be performed without delays due to format conversion. Optionally, Model Optimizer can adjust the model to be more suitable for inference, for example, by alternating input shapes, embedding preprocessing and cutting training parts off.\n",
-    "For information on how to convert your existing TensorFlow, PyTorch or ONNX model to OpenVINO IR format with Model Optimizer, refer to the [tensorflow-to-openvino](../101-tensorflow-to-openvino/101-tensorflow-to-openvino.ipynb) and [pytorch-onnx-to-openvino](../102-pytorch-onnx-to-openvino/102-pytorch-onnx-to-openvino.ipynb) notebooks. "
+    "For information on how to convert your existing TensorFlow, PyTorch or ONNX model to OpenVINO IR format with Model Optimizer, refer to the [tensorflow-to-openvino](../101-tensorflow-classification-to-openvino/101-tensorflow-classification-to-openvino.ipynb) and [pytorch-onnx-to-openvino](../102-pytorch-onnx-to-openvino/102-pytorch-onnx-to-openvino.ipynb) notebooks. "
    ]
   },
   {

notebooks/101-tensorflow-to-openvino/101-tensorflow-to-openvino.ipynb notebooks/101-tensorflow-classification-to-openvino/101-tensorflow-classification-to-openvino.ipynb

@@ -1,6 +1,6 @@
 # TensorFlow to OpenVINO™ Model Conversion Tutorial
 
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-to-openvino%2F101-tensorflow-to-openvino.ipynb)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-classification-to-openvino%2F101-tensorflow-classification-to-openvino.ipynb)
 
 <img src="https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg" width=300>