[DOCS] Update Interactive Tutorials (#17598)

docs/get_started.md

@@ -94,10 +94,10 @@ Model Compression and Quantization
 
 Use OpenVINO’s model compression tools to reduce your model’s latency and memory footprint while maintaining good accuracy.
 
-* Tutorial - `OpenVINO Post-Training Model Quantization <notebooks/111-detection-quantization-with-output.html>`__
+* Tutorial - `OpenVINO Post-Training Model Quantization <https://docs.openvino.ai/nightly/notebooks/111-yolov5-quantization-migration-with-output.html>`__
-* Tutorial - `Quantization-Aware Training in TensorFlow with OpenVINO NNCF <notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__
+* Tutorial - `Quantization-Aware Training in TensorFlow with OpenVINO NNCF <https://docs.openvino.ai/nightly/notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__
-* Tutorial - `Quantization-Aware Training in PyTorch with NNCF <notebooks/302-pytorch-quantization-aware-training-with-output.html>`__
+* Tutorial - `Quantization-Aware Training in PyTorch with NNCF <https://docs.openvino.ai/nightly/notebooks/302-pytorch-quantization-aware-training-with-output.html>`__
-* :doc:`Model Optimization Guide <openvino_docs_model_optimization_guide>`
+* `Model Optimization Guide <https://docs.openvino.ai/nightly/notebooks/openvino_docs_model_optimization_guide.html>`__
 
 Automated Device Configuration
 ------------------------------

docs/nbdoc/consts.py

@@ -8,7 +8,7 @@ repo_owner = "openvinotoolkit"
 
 repo_name = "openvino_notebooks"
 
-artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230424220807/dist/rst_files/"
+artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230517220809/dist/rst_files/"
 
 blacklisted_extensions = ['.xml', '.bin']
 

docs/tutorials.md

@@ -119,7 +119,9 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
    | `106-auto-device <notebooks/106-auto-device-with-output.html>`__ |br| |n106|                                                 | Demonstrates how to use AUTO Device                                                                                              |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
-   | `107-speech-recognition-quantization <notebooks/107-speech-recognition-quantization-with-output.html>`__                     | Optimize and quantize a pre-trained Wav2Vec2 speech model                                                                        |
+   | `107-speech-recognition-quantization <notebooks/107-speech-recognition-quantization-data2vec-with-output.html>`__            | Optimize and quantize a pre-trained Data2Vec speech model                                                                        |
+   +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
+   | `107-speech-recognition-quantization <notebooks/107-speech-recognition-quantization-wav2vec2-with-output.html>`__            | Optimize and quantize a pre-trained Wav2Vec2 speech model                                                                        |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
    | `108-gpu-device <notebooks/108-gpu-device-with-output.html>`__                                                               | Working with GPUs in OpenVINO™                                                                                                   |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
@@ -127,7 +129,7 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
    | `110-ct-segmentation-quantize <notebooks/110-ct-segmentation-quantize-with-output.html>`__ |br| |n110|                       | Quantize a kidney segmentation model and show live inference                                                                     |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
-   | `111-detection-quantization <notebooks/111-detection-quantization-with-output.html>`__ |br| |n111|                           | Quantize an object detection model                                                                                               |
+   | `111-yolov5-quantization-migration <notebooks/111-yolov5-quantization-migration-with-output.html>`__                         | Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF)                                |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
    | `112-pytorch-post-training-quantization-nncf <notebooks/112-pytorch-post-training-quantization-nncf-with-output.html>`__     | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning)      |
    +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
@@ -203,7 +205,7 @@ Demos that demonstrate inference on a particular model.
    +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
    | `222-vision-image-colorization <notebooks/222-vision-image-colorization-with-output.html>`__ |br| |n222|                      | Use pre-trained models to colorize black & white images using OpenVINO                                                                     | |n222-img1|                               |
    +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
-   | `223-gpt2-text-prediction <notebooks/223-gpt2-text-prediction-with-output.html>`__                                            | Use GPT-2 to perform text prediction on an input sequence                                                                                  | |n223-img1|                               |
+   | `223-text-prediction <notebooks/223-text-prediction-with-output.html>`__                                                      | Use pretrained models to perform text prediction on an input sequence                                                                      | |n223-img1|                               |
    +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
    | `224-3D-segmentation-point-clouds <notebooks/224-3D-segmentation-point-clouds-with-output.html>`__                            | Process point cloud data and run 3D Part Segmentation with OpenVINO                                                                        | |n224-img1|                               |
    +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
@@ -492,8 +494,6 @@ Made with `contributors-img <https://contrib.rocks>`__.
    :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F106-auto-device%2F106-auto-device.ipynb
 .. |n110| image:: https://mybinder.org/badge_logo.svg
    :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F110-ct-segmentation-quantize%2F110-ct-scan-live-inference.ipynb
-.. |n111| image:: https://mybinder.org/badge_logo.svg
-   :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F111-detection-quantization%2F111-detection-quantization.ipynb
 .. |n113| image:: https://mybinder.org/badge_logo.svg
    :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F113-image-classification-quantization%2F113-image-classification-quantization.ipynb
 .. |n114| image:: https://mybinder.org/badge_logo.svg

tools/pot/README.md

@@ -43,7 +43,7 @@ OpenVINO provides several examples to demonstrate the POT optimization workflow:
   * [Quantization of Image Classification model](https://docs.openvino.ai/latest/pot_configs_examples_README.html)
 * API tutorials:
   * [Quantization of Image Classification model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/301-tensorflow-training-openvino)
-  * [Quantization of Object Detection model from Model Zoo](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-detection-quantization)
+  * [Quantization of Object Detection model from Model Zoo](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration)
   * [Quantization of Segmentation model for medical data](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/110-ct-segmentation-quantize)
   * [Quantization of BERT for Text Classification](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/105-language-quantize-bert)
 * API examples:

tools/pot/docs/DefaultQuantizationUsage.md

@@ -177,7 +177,7 @@ Examples
 * Tutorials:
 
   * `Quantization of Image Classification model <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/301-tensorflow-training-openvino>`__
-  * `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-detection-quantization>`__
+  * `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration>`__
   * `Quantization of Segmentation model for medical data <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/110-ct-segmentation-quantize>`__
   * `Quantization of BERT for Text Classification <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/105-language-quantize-bert>`__
 

tools/pot/docs/Introduction.md

@@ -39,10 +39,8 @@ try using :doc:`Quantization-aware Training <qat_introduction>` to increase its
 | **Post-Training Quantization Quick Start Examples:**
 | Try out these interactive Jupyter Notebook examples to learn the POT API and see post-training quantization in action:
 
-* `Quantization of Image Classification Models with POT <notebooks/113-image-classification-quantization-with-output.html>`__.
+* `Quantization of Image Classification Models with POT <https://docs.openvino.ai/nightly/notebooks/113-image-classification-quantization-with-output.html>`__.
-* `Object Detection Quantization with POT <notebooks/111-detection-quantization-with-output.html>`__.
+* `Object Detection Quantization with POT <https://docs.openvino.ai/nightly/notebooks/111-yolov5-quantization-migration-with-output.html>`__.
-
-
 
 Quantizing Models with POT
 ####################################### 

tools/pot/openvino/tools/pot/algorithms/quantization/default/README.md

@@ -127,7 +127,7 @@ Additional Resources
 Tutorials:
 
 * `Quantization of Image Classification model <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/301-tensorflow-training-openvino>`__
-* `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-detection-quantization>`__
+* `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration>`__
 * `Quantization of Segmentation model for medical data <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/110-ct-segmentation-quantize>`__
 * `Quantization of BERT for Text Classification <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/105-language-quantize-bert>`__
 

tools/pot/openvino/tools/pot/api/samples/README.md

@@ -68,7 +68,7 @@ See the tutorials
 ####################
 
 * `Quantization of Image Classification model <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/301-tensorflow-training-openvino>`__
-* `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-detection-quantization)>`__
+* `Quantization of Object Detection model from Model Zoo <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration)>`__
 * `Quantization of Segmentation model for medical data <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/110-ct-segmentation-quantize>`__
 * `Quantization of BERT for Text Classification <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/105-language-quantize-bert>`__