Merge branch 'main' into rerank

openvinotoolkit · Mar 26, 2024 · bbf1560 · bbf1560
2 parents 56cf739 + e2ec5ab
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diff --git a/.ci/dev-requirements.txt b/.ci/dev-requirements.txt
@@ -3,7 +3,7 @@
 # black==21.8 requires typing-extensions>3.10 which is incompatible
 # with other packages
 -r ../requirements.txt
-black==21.7b0               # format Python code
+black==24.3.0               # format Python code
 isort                       # sort imports
 jupyterlab-code-formatter   # format code in notebooks in Jupyter Lab
 jupyterlab-git              # checkout and commit code in Jupyter Lab

diff --git a/.ci/ignore_pip_conflicts.txt b/.ci/ignore_pip_conflicts.txt
@@ -3,6 +3,7 @@ notebooks/109-performance-tricks/109-throughput-tricks.ipynb  # ultralytics<=8.0
 notebooks/123-detectron2-to-openvino/123-detectron2-to-openvino.ipynb # detectron2@https://github.com/facebookresearch/detectron2
 notebooks/122-quantizing-model-with-accuracy-control/122-yolov8-quantization-with-accuracy-control.ipynb  # ultralytics==8.0.43
 notebooks/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb # timm==0.4.12, install Segmenter requirements
+notebooks/211-speech-to-text/211-speech-to-text.ipynb # numpy<1.24
 notebooks/212-pyannote-speaker-diarization/212-pyannote-speaker-diarization.ipynb  # pyannote-audio@https://github.com/eaidova/pyannote-audio
 notebooks/230-yolov8-optimization/230-yolov8-instance-segmentation.ipynb  # ultralytics==8.0.43
 notebooks/230-yolov8-optimization/230-yolov8-keypoint-detection.ipynb  # ultralytics==8.0.159
@@ -18,4 +19,5 @@ notebooks/273-stable-zephyr-3b-chatbot/273-stable-zephyr-3b-chatbot.ipynb # inst
 notebooks/279-mobilevlm-language-assistant/279-mobilevlm-language-assistant.ipynb # transformers<4.35
 notebooks/280-depth-anything/280-depth-anything.ipynb # install requirements.txt after clone repo
 notebooks/285-surya-line-level-text-detection/285-surya-line-level-text-detection.ipynb # requires python >=3.9
-notebooks/289-mobileclip-video-search/289-mobileclip-video-search.ipynb # install requirements.txt inside
+notebooks/289-mobileclip-video-search/289-mobileclip-video-search.ipynb # install requirements.txt inside
+notebooks/291-stable-diffusion-keras-cv/291-stable-diffusion-keras-cv.ipynb # requires python >=3.9
diff --git a/.ci/ignore_treon_docker.txt b/.ci/ignore_treon_docker.txt
@@ -54,6 +54,7 @@
 284-openvoice
 285-surya-line-level-text-detection
 286-instant-id
+291-stable-diffusion-keras-cv
 301-tensorflow-training-openvino
 305-tensorflow-quantization-aware-training
 404-style-transfer-webcam
diff --git a/.ci/ignore_treon_linux.txt b/.ci/ignore_treon_linux.txt
@@ -57,4 +57,5 @@
 284-openvoice
 285-surya-line-level-text-detection
 286-instant-id
+291-stable-diffusion-keras-cv
 404-style-transfer-webcam
diff --git a/.ci/ignore_treon_mac.txt b/.ci/ignore_treon_mac.txt
@@ -57,4 +57,5 @@
 285-surya-line-level-text-detection
 286-instant-id
 288-grounded-segment-anything
+291-stable-diffusion-keras-cv
 404-style-transfer-webcam
diff --git a/.ci/ignore_treon_win.txt b/.ci/ignore_treon_win.txt
@@ -55,3 +55,4 @@
 284-openvoice
 285-surya-line-level-text-detection
 286-instant-id
+291-stable-diffusion-keras-cv
diff --git a/.ci/spellcheck/.pyspelling.wordlist.txt b/.ci/spellcheck/.pyspelling.wordlist.txt
@@ -7,6 +7,7 @@ activations
 adaptively
 adas
 ADE
+adversarially
 aeroplane
 affective
 ai
@@ -209,6 +210,7 @@ enum
 et
 Evol
 EVS
+facto
 fastcomposer
 FastComposer
 FastSAM
@@ -325,6 +327,7 @@ Kalman
 kbps
 KD
 keras
+KerasCV
 keypoint
 keypoints
 KiTS
@@ -377,6 +380,7 @@ LSTM
 Luo
 LVLM
 macOS
+Magika
 Mahalanobis
 Mapillary
 Markovian

diff --git a/.github/workflows/treon.yml b/.github/workflows/treon.yml
@@ -122,11 +122,11 @@ jobs:
     - name: Download long loading models
       run: |
           mkdir notebooks/203-meter-reader/model
-          curl -o notebooks/203-meter-reader/model/meter_det_model.tar.gz 'https://bj.bcebos.com/paddlex/examples2/meter_reader/meter_det_model.tar.gz'
-          curl -o notebooks/203-meter-reader/model/meter_seg_model.tar.gz 'https://bj.bcebos.com/paddlex/examples2/meter_reader/meter_seg_model.tar.gz'
+          curl -o notebooks/203-meter-reader/model/meter_det_model.tar.gz 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/meter-reader/meter_det_model.tar.gz'
+          curl -o notebooks/203-meter-reader/model/meter_seg_model.tar.gz 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/meter-reader/meter_seg_model.tar.gz'
           mkdir notebooks/405-paddle-ocr-webcam/model
-          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_det_infer.tar 'https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar'
-          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_rec_infer.tar 'https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar'
+          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_det_infer.tar 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/paddle-ocr/ch_PP-OCRv3_det_infer.tar'
+          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_rec_infer.tar 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/paddle-ocr/ch_PP-OCRv3_rec_infer.tar'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip

diff --git a/.github/workflows/treon_precommit.yml b/.github/workflows/treon_precommit.yml
@@ -38,7 +38,7 @@ jobs:
       fail-fast: true
       matrix:
         os: [ubuntu-20.04, windows-2019, macos-12]
-        python: ["3.8", "3.9", "3.10"]
+        python: ["3.10", "3.9", "3.8"]
     steps:
 
     #### Installation/preparation ####
@@ -157,11 +157,11 @@ jobs:
     - name: Download long loading models
       run: |
           mkdir notebooks/203-meter-reader/model
-          curl -o notebooks/203-meter-reader/model/meter_det_model.tar.gz 'https://bj.bcebos.com/paddlex/examples2/meter_reader/meter_det_model.tar.gz'
-          curl -o notebooks/203-meter-reader/model/meter_seg_model.tar.gz 'https://bj.bcebos.com/paddlex/examples2/meter_reader/meter_seg_model.tar.gz'
+          curl -o notebooks/203-meter-reader/model/meter_det_model.tar.gz 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/meter-reader/meter_det_model.tar.gz'
+          curl -o notebooks/203-meter-reader/model/meter_seg_model.tar.gz 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/meter-reader/meter_seg_model.tar.gz'
           mkdir notebooks/405-paddle-ocr-webcam/model
-          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_det_infer.tar 'https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar'
-          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_rec_infer.tar 'https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar'
+          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_det_infer.tar 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/paddle-ocr/ch_PP-OCRv3_det_infer.tar'
+          curl -o notebooks/405-paddle-ocr-webcam/model/ch_PP-OCRv3_rec_infer.tar 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/models/paddle-ocr/ch_PP-OCRv3_rec_infer.tar'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip

diff --git a/...101-tensorflow-classification-to-openvino/101-tensorflow-classification-to-openvino.ipynb b/...101-tensorflow-classification-to-openvino/101-tensorflow-classification-to-openvino.ipynb
@@ -11,7 +11,8 @@
     "This short tutorial shows how to convert a TensorFlow [MobileNetV3](https://docs.openvino.ai/2024/omz_models_model_mobilenet_v3_small_1_0_224_tf.html) image classification model to OpenVINO [Intermediate Representation](https://docs.openvino.ai/2024/documentation/openvino-ir-format/operation-sets.html) (OpenVINO IR) format, using [Model Conversion API](https://docs.openvino.ai/2024/openvino-workflow/model-preparation.html). After creating the OpenVINO IR, load the model in [OpenVINO Runtime](https://docs.openvino.ai/2024/openvino-workflow/running-inference.html) and do inference with a sample image.  \n",
     "\n",
     "\n",
-    "#### Table of contents:\n\n",
+    "#### Table of contents:\n",
+    "\n",
     "- [Imports](#Imports)\n",
     "- [Settings](#Settings)\n",
     "- [Download model](#Download-model)\n",
@@ -33,8 +34,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import platform\n",
     "# Install openvino package\n",
-    "%pip install -q \"openvino>=2023.1.0\""
+    "%pip install -q \"openvino>=2023.1.0\" \"opencv-python\"\n",
+    "if platform.system() != \"Windows\":\n",
+    "    %pip install -q \"matplotlib>=3.4\"\n",
+    "else:\n",
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "%pip install -q \"tensorflow-macos>=2.5; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version > '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow-macos>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version <= '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version > '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version <= '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version > '3.8'\"\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform != 'darwin' and python_version <= '3.8'\"\n",
+    "%pip install -q tf_keras tensorflow_hub"
    ]
   },
   {
@@ -66,9 +79,13 @@
     }
    ],
    "source": [
+    "import os\n",
     "import time\n",
     "from pathlib import Path\n",
     "\n",
+    "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"2\"\n",
+    "os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\"\n",
+    "\n",
     "import cv2\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
@@ -462,7 +479,7 @@
    "toc_visible": true
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -476,7 +493,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.4"
   },
   "openvino_notebooks": {
    "imageUrl": "https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg",
@@ -494,4 +511,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/notebooks/101-tensorflow-classification-to-openvino/README.md b/notebooks/101-tensorflow-classification-to-openvino/README.md
@@ -13,4 +13,6 @@ The notebook shows how to convert the [TensorFlow MobileNetV3 model](https://www
 
 ## Installation Instructions
 
-If you have not installed all required dependencies, follow the [Installation Guide](../../README.md).
+This is a self-contained example that relies solely on its own code.</br>
+We recommend  running the notebook in a virtual environment. You only need a Jupyter server to start.
+For details, please refer to [Installation Guide](../../README.md).
diff --git a/notebooks/118-optimize-preprocessing/118-optimize-preprocessing.ipynb b/notebooks/118-optimize-preprocessing/118-optimize-preprocessing.ipynb
@@ -26,7 +26,8 @@
    "metadata": {},
    "source": [
     "\n",
-    "#### Table of contents:\n\n",
+    "#### Table of contents:\n",
+    "\n",
     "- [Settings](#Settings)\n",
     "- [Imports](#Imports)\n",
     "    - [Setup image and device](#Setup-image-and-device)\n",
@@ -65,8 +66,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import platform\n",
     "# Install openvino package\n",
-    "%pip install -q \"openvino>=2023.1.0\" tensorflow opencv-python matplotlib"
+    "%pip install -q \"openvino>=2023.1.0\" opencv-python\n",
+    "if platform.system() != \"Windows\":\n",
+    "    %pip install -q \"matplotlib>=3.4\"\n",
+    "else:\n",
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "\n",
+    "%pip install -q \"tensorflow-macos>=2.5; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version > '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow-macos>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version <= '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version > '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version <= '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version > '3.8'\"\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version <= '3.8'\"\n"
    ]
   },
   {
@@ -97,8 +110,12 @@
    ],
    "source": [
     "import time\n",
+    "import os\n",
     "from pathlib import Path\n",
     "\n",
+    "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"2\"\n",
+    "os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\"\n",
+    "\n",
     "import cv2\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
@@ -789,7 +806,7 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -803,7 +820,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.4"
   },
   "openvino_notebooks": {
    "imageUrl": "",
@@ -827,4 +844,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/notebooks/118-optimize-preprocessing/README.md b/notebooks/118-optimize-preprocessing/README.md
@@ -18,4 +18,6 @@ The tutorial consists of the following steps:
 
 ## Installation Instructions
 
-If you have not installed all required dependencies, follow the [Installation Guide](../../README.md).
+This is a self-contained example that relies solely on its own code.</br>
+We recommend  running the notebook in a virtual environment. You only need a Jupyter server to start.
+For details, please refer to [Installation Guide](../../README.md).
diff --git a/...rflow-object-detection-to-openvino/120-tensorflow-instance-segmentation-to-openvino.ipynb b/...rflow-object-detection-to-openvino/120-tensorflow-instance-segmentation-to-openvino.ipynb
@@ -57,7 +57,14 @@
     "if platform.system() != \"Windows\":\n",
     "    %pip install -q \"matplotlib>=3.4\"\n",
     "else:\n",
-    "    %pip install -q \"matplotlib>=3.4,<3.7\""
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "\n",
+    "%pip install -q \"tensorflow-macos>=2.5; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version > '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow-macos>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version <= '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version > '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version <= '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version > '3.8'\"\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform != 'darwin' and python_version <= '3.8'\""
    ]
   },
   {
@@ -890,7 +897,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.4"
   },
   "openvino_notebooks": {
    "imageUrl": "https://github.com/itrushkin/openvino_notebooks/assets/76161256/b0acc7bb-92c7-4c83-9484-84a8e1b798b7",

diff --git a/...tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb b/...tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb
@@ -58,7 +58,13 @@
     "if platform.system() != \"Windows\":\n",
     "    %pip install -q \"matplotlib>=3.4\"\n",
     "else:\n",
-    "    %pip install -q \"matplotlib>=3.4,<3.7\""
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "%pip install -q \"tensorflow-macos>=2.5; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version > '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow-macos>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version <= '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version > '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version <= '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version > '3.8'\"\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform != 'darwin' and python_version <= '3.8'\""
    ]
   },
   {
@@ -920,7 +926,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.4"
   },
   "openvino_notebooks": {
    "imageUrl": "https://github.com/openvinotoolkit/openvino_notebooks/assets/41733560/f9b59be1-1d2f-4e13-9678-67205be78841",

diff --git a/...uantizing-model-with-accuracy-control/122-yolov8-quantization-with-accuracy-control.ipynb b/...uantizing-model-with-accuracy-control/122-yolov8-quantization-with-accuracy-control.ipynb
@@ -644,8 +644,8 @@
     "ov_config = {}\n",
     "if \"GPU\" in device.value or (\"AUTO\" in device.value and \"GPU\" in core.available_devices):\n",
     "    ov_config = {\"GPU_DISABLE_WINOGRAD_CONVOLUTION\": \"YES\"}\n",
-    "quantized_compiled_model = core.compile_model(model=quantized_model, device.value, ov_config)\n",
-    "compiled_ov_model = core.compile_model(model=ov_model, device.value, ov_config)\n",
+    "quantized_compiled_model = core.compile_model(quantized_model, device.value, ov_config)\n",
+    "compiled_ov_model = core.compile_model(ov_model, device.value, ov_config)\n",
     "\n",
     "pt_result = validation_ac(compiled_ov_model, data_loader, validator)\n",
     "quantized_result = validation_ac(quantized_compiled_model, data_loader, validator)\n",

diff --git a/notebooks/126-tensorflow-hub/126-tensorflow-hub.ipynb b/notebooks/126-tensorflow-hub/126-tensorflow-hub.ipynb
@@ -80,13 +80,21 @@
    "source": [
     "import platform\n",
     "\n",
-    "%pip install -q tensorflow_hub tensorflow pillow numpy\n",
+    "%pip install -q pillow numpy\n",
     "%pip install -q \"openvino>=2023.2.0\"\n",
     "\n",
     "if platform.system() != \"Windows\":\n",
     "    %pip install -q \"matplotlib>=3.4\"\n",
     "else:\n",
-    "    %pip install -q \"matplotlib>=3.4,<3.7\""
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "\n",
+    "%pip install -q \"tensorflow-macos>=2.5; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version > '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow-macos>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version <= '3.8'\" # macOS M1 and M2\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version > '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform == 'darwin' and platform_machine != 'arm64' and python_version <= '3.8'\" # macOS x86\n",
+    "%pip install -q \"tensorflow>=2.5; sys_platform != 'darwin' and python_version > '3.8'\"\n",
+    "%pip install -q \"tensorflow>=2.5,<=2.12.0; sys_platform != 'darwin' and python_version <= '3.8'\"\n",
+    "%pip install -q tf_keras tensorflow_hub"
    ]
   },
   {
@@ -108,6 +116,7 @@
     "import os\n",
     "from urllib.request import urlretrieve\n",
     "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"2\"\n",
+    "os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\"\n",
     "\n",
     "import tensorflow_hub as hub\n",
     "import tensorflow as tf\n",
@@ -683,7 +692,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -697,7 +706,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.4"
   },
   "openvino_notebooks": {
    "imageUrl": "",