Merge pull request #7 from openvinotoolkit/main

Updating from upstream

Author: sawradip

.ci/test_notebooks.py

@@ -35,18 +35,18 @@ def test_readme():
     """
     Test that all notebooks have a README file and exist in the Notebooks README
     """
-    notebooks_readme_path = Path("notebooks/README.md")
+    notebooks_readme_path = Path("README.md")
     notebooks_readme = notebooks_readme_path.read_text(encoding="utf-8")
     for item in Path("notebooks").iterdir():
         if item.is_dir():
             # item is a notebook directory
-            notebook_dir = item.relative_to("notebooks")
+            notebook_dir = item.relative_to(Path("notebooks"))
             if str(notebook_dir)[0].isdigit():
                 assert "README.md" in [
                     filename.name for filename in item.iterdir()
                 ], f"README not found in {item}"
                 assert (
-                    str(notebook_dir) in notebooks_readme
+                    str(item.relative_to(notebooks_readme_path.parent)) in notebooks_readme
                 ), f"{item} not found in notebooks README: {notebooks_readme_path}"
 
 

.docker/Pipfile

@@ -54,7 +54,6 @@ torch = {index = "pytorch-wheels", version = "==1.13.1+cpu"}
 torchmetrics = ">=0.11.0"
 torchvision = {index = "pytorch-wheels", version = "==0.14.1+cpu"}
 transformers = ">=4.21.1"
-yaspin = "*"
 
 [dev-packages]
 

.docker/Pipfile.lock

@@ -69,17 +69,7 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 ### ⌚ 转换 & 优化 
 
 解释如何使用OpenVINO工具进行模型优化和量化的教程。
-	
-| [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) |  [102-pytorch-onnx-to-openvino](notebooks/102-pytorch-onnx-to-openvino/) | [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) | [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) | 
-| -------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |  
-| 转换TensorFlow模型为OpenVINO IR | 转换PyTorch模型为OpenVINO IR | 转换PaddlePaddle模型为OpenVINO IR | 从Open Model Zoo进行模型下载，转换以及进行基线测试  | 
-| <img src="https://user-images.githubusercontent.com/15709723/127779167-9d33dcc6-9001-4d74-a089-8248310092fe.png" width=250> | <img src="https://user-images.githubusercontent.com/15709723/127779246-32e7392b-2d72-4a7d-b871-e79e7bfdd2e9.png" width=300 > | <img src="https://user-images.githubusercontent.com/15709723/127779326-dc14653f-a960-4877-b529-86908a6f2a61.png" width=300>  | <img src="https://user-images.githubusercontent.com/10940214/157541917-c5455105-b0d9-4adf-91a7-fbc142918015.png" width=150>  |
-	
-更多有趣的notebooks在这里！ 
 
-<p>
-<details>
-<summary> 点击这里查看完整列表!  </summary> 
 
 | Notebook | Description | 
 | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | 
@@ -98,27 +88,15 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [115-async-api](notebooks/115-async-api/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb) | 使用异步执行改进数据流水线 |
 | [116-sparsity-optimization](notebooks/116-sparsity-optimization/)| 提高稀疏Transformer模型的性能 |
 | [117-model-server](notebooks/117-model-server/)| OpenVINO模型服务（OVMS）介绍 |
-</details>
-</p>
+| [118-optimize-preprocessing](notebooks/118-optimize-preprocessing/)| 提升图片预处理性能 |
 
 <div id='-model-demos'/>
 
 ### 🎯 模型演示
 
 演示对特定模型的推理。
-	
-| [225-stable-diffusion-text-to-image](notebooks/225-stable-diffusion-text-to-image/)| [227-whisper-subtitles-generation](notebooks/227-whisper-subtitles-generation/)| [230-yolov8-optimization](notebooks/230-yolov8-optimization/) |  [231-instruct-pix2pix-image-editing](notebooks/231-instruct-pix2pix-image-editing/)|  
-| --------------------------------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- | 
-| 用Stable Diffusion由文本生成图像 | 通过OpenAI Whisper和OpenVINO进行字幕生成 | 使用NNCF PTQ API优化YOLOv8 | InstructPix2Pix图片编辑 |
-| <img src=https://user-images.githubusercontent.com/29454499/216524089-ed671fc7-a78b-42bf-aa96-9f7c791a9419.png width=225>| <img src=https://user-images.githubusercontent.com/29454499/204548693-1304ef33-c790-490d-8a8b-d5766acb6254.png  width=225> | <img src = "https://user-images.githubusercontent.com/29454499/212105105-f61c8aab-c1ff-40af-a33f-d0ed1fccc72e.png" width=225> | <img src=https://user-images.githubusercontent.com/29454499/219943222-d46a2e2d-d348-4259-8431-37cf14727eda.png width=750> |
-	
-更多有趣的notebooks在这里！
 
-<p>
-<details>
-<summary> 点击这里查看完整列表！ </summary>
-	
-	
+
 | Notebook | Description | Preview |
 | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 | [201-vision-monodepth](notebooks/201-vision-monodepth/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F201-vision-monodepth%2F201-vision-monodepth.ipynb) | 利用图像和视频进行单目深度估计 | <img src="https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif" width=250> |
@@ -149,8 +127,10 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [229-distilbert-sequence-classification](notebooks/229-distilbert-sequence-classification/)<br> | 利用OpenVINO进行句子分类 | <img src = "https://user-images.githubusercontent.com/95271966/206130638-d9847414-357a-4c79-9ca7-76f4ae5a6d7f.png" width=225> |
 | [230-yolov8-optimization](notebooks/230-yolov8-optimization/)<br> |使用NNCF PTQ API优化YOLOv8 | <img src = "https://user-images.githubusercontent.com/29454499/212105105-f61c8aab-c1ff-40af-a33f-d0ed1fccc72e.png" width=225> |
 |[231-instruct-pix2pix-image-editing](notebooks/231-instruct-pix2pix-image-editing/)<br>| 利用InstructPix2Pix进行图像编辑 | <img src=https://user-images.githubusercontent.com/29454499/219943222-d46a2e2d-d348-4259-8431-37cf14727eda.png width=225> |
-</details>
-</p>
+|[232-clip-language-saliency-map](notebooks/232-clip-language-saliency-map/)<br>|  基于CLIP和OpenVINO™的视觉语言显著性检测 | <img src=https://user-images.githubusercontent.com/29454499/218967961-9858efd5-fff2-4eb0-bde9-60852f4b31cb.JPG width=225> | 
+|[233-blip-visual-language-processing](notebooks/233-blip-visual-language-processing/)<br>| 基于BLIP和OpenVINO™的视觉问答与图片注释 | <img src=https://user-images.githubusercontent.com/29454499/221933762-4ff32ecb-5e5d-4484-80e1-e9396cb3c511.png width=225> |
+|[234-encodec-audio-compression](notebooks/234-encodec-audio-compression/)<br>| # 基于EnCodec和OpenVINO™的音频压缩 | <img src=https://github.com/facebookresearch/encodec/raw/main/thumbnail.png width=225> |
+|[235-controlnet-stable-diffusion](notebooks/235-controlnet-stable-diffusion/)<br>| # 使用ControlNet状态调节Stable Diffusion 实现文字生成图片 | <img src=https://user-images.githubusercontent.com/29454499/224541412-9d13443e-0e42-43f2-8210-aa31820c5b44.png width=225> |
 
 <div id='-model-training'/>
 
@@ -169,17 +149,6 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 ### 📺 实时演示
 在网络摄像头或视频文件上运行的实时推理演示。
 
-| [401-object-detection-webcam](notebooks/401-object-detection-webcam/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F401-object-detection-webcam%2F401-object-detection.ipynb) | [403-action-recognition-webcam](notebooks/403-action-recognition-webcam/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F403-action-recognition-webcam%2F403-action-recognition-webcam.ipynb) | [404-style-transfer-webcam](notebooks/404-style-transfer-webcam/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F404-style-transfer-webcam%2F404-style-transfer.ipynb) | [405-paddle-ocr-webcam](notebooks/405-paddle-ocr-webcam/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F405-paddle-ocr-webcam%2F405-paddle-ocr-webcam.ipynb) |
-| -------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------- | --------------------------------------------------------------------------- |
-|使用网络摄像头或视频文件进行目标检测  |  使用网络摄像头或视频文件进行动作识别 | 使用网络摄像头或视频文件进行样式变换| 使用网络摄像头或视频文件进行OCR |
-| <img src="https://user-images.githubusercontent.com/4547501/141471665-82b28c86-cf64-4bfe-98b3-c314658f2d96.gif" width=150> | <img src="https://user-images.githubusercontent.com/10940214/151552326-642d6e49-f5a0-4fc1-bf14-ae3f457e1fec.gif" width=200> | <img src="https://user-images.githubusercontent.com/109281183/203772234-f17a0875-b068-43ef-9e77-403462fde1f5.gif" width=300> | <img src="https://raw.githubusercontent.com/yoyowz/classification/master/images/paddleocr.gif" width=230> |
-
-更多有趣的notebooks在这里! 
-
-<p>
-<details>
-<summary> 点击这里查看完整列表! </summary>
-	
 
 | Notebook | Description | Preview |
 | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
@@ -192,19 +161,10 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [407-person-tracking-webcam](notebooks/407-person-tracking-webcam/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F407-person-tracking-webcam%2F407-person-tracking.ipynb) | 使用网络摄像头或视频文件进行人体跟踪 | <img src = "https://user-images.githubusercontent.com/91237924/210479548-b70dbbaa-5948-4e49-b48e-6cb6613226da.gif" width=225> |
 
 
-</details>
-</p>
-
 如果你遇到了问题，请查看[故障排除](#-troubleshooting), [常见问题解答](#-faq) 或者创建一个GitHub [discussion](https://github.com/openvinotoolkit/openvino_notebooks/discussions)。
 
 带有![binder logo](https://mybinder.org/badge_logo.svg) 按键的Notebooks可以在无需安装的情况下运行。[Binder](https://mybinder.org/) 是一项资源有限的免费在线服务。 如果享有获得最佳性能体验，请遵循[安装指南](#-installation-guide)在本地运行Notebooks。
 
-您将在这一部分中获得很多乐趣:
-
-| [Vision-monodepth](notebooks/201-vision-monodepth/) | [Object-detection-webcam](notebooks/401-object-detection-webcam/) | [Pose-estimation-webcam](notebooks/402-pose-estimation-webcam/) | [Action-recognition-webcam](notebooks/403-action-recognition-webcam/) | 
-| -------------------------------------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- | 
-| <img src="https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif" width=250> | <img src="https://user-images.githubusercontent.com/4547501/141471665-82b28c86-cf64-4bfe-98b3-c314658f2d96.gif" width=225> | <img src="https://user-images.githubusercontent.com/4547501/138267961-41d754e7-59db-49f6-b700-63c3a636fad7.gif" width=225>  | <img src="https://user-images.githubusercontent.com/10940214/151552326-642d6e49-f5a0-4fc1-bf14-ae3f457e1fec.gif" width=225> | 
-
 
 [![-----------------------------------------------------](https://user-images.githubusercontent.com/10940214/155750931-fc094349-b6ec-4e1f-9f9a-113e67941119.jpg)]()
 <div id='-system-requirements'/>
@@ -253,61 +213,49 @@ jupyter lab notebooks
 
 ## 🧹 清理
 
-<p>
-<details>
-<summary>停止Jupyter Kernel</summary>
+<div id='-shut-down-jupyter-kernel'>
+&#8226; 停止Jupyter Kernel
 
 按 Ctrl-c 结束 Jupyter session，会弹出一个提示框 Shutdown this Jupyter server (y/[n])? 输入 y 并按 回车。
-</details>
-</p>	
+</div>	
 
-<p>
-<details>
-<summary>注销虚拟环境</summary>
+<div id='-deactivate-virtual-environment'>
+&#8226; 注销虚拟环境
 
 注销虚拟环境：只需在激活了 openvino_env 的终端窗口中运行 deactivate 即可。
 
 重新激活环境：在Linux上运行 source openvino_env/bin/activate 或者在Windows上运行 openvino_env\Scripts\activate 即可，然后输入 jupyter lab 或 jupyter notebook 即可重新运行notebooks。
-</details>
-</p>	
+</div>	
 
-<p>
-<details>
-<summary>删除虚拟环境 _(可选)_</summary>
+<div id='-delete-virtual-environment'>
+&#8226; >删除虚拟环境 _(可选)_
 
 直接删除 openvino_env 目录即可删除虚拟环境：
-</details>
-</p>	
+</div>	
 
-<p>
-<details>
-<summary>Linux和macOS:</summary>
+<div id='-on-linux-and-macos'>
+&#8226; Linux和macOS:
 
 ```bash
 rm -rf openvino_env
 ```
-</details>
-</p>
+</div>	
 
-<p>
-<details>
-<summary>Windows:</summary>
+<div id='-on-windows'>
+&#8226; Windows:
 
 ```bash
 rmdir /s openvino_env
 ```
-</details>
-</p>
+</div>	
 
-<p>
-<details>
-<summary>从Jupyter中移除openvino_env Kernel</summary>
+<div id='-remove-openvino-env-kernel'>
+&#8226;从Jupyter中移除openvino_env Kernel
 
 ```bash
 jupyter kernelspec remove openvino_env
 ```
-</details>
-</p>
+</div>	
 
 [![-----------------------------------------------------](https://user-images.githubusercontent.com/10940214/155750931-fc094349-b6ec-4e1f-9f9a-113e67941119.jpg)]()
 <div id='-troubleshooting'/>

README.md

@@ -733,6 +733,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a9657dc5-9713-4d2b-a324-c8cd6195e79a",
    "metadata": {},
@@ -779,11 +780,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "48e0a860-c93c-4b93-a684-f53cd66ec2e3",
    "metadata": {},
    "source": [
-    "After running the previous cell, we know the model exists in the cache directory. We delete the compiled model and load it again. We measure the time it takes now."
+    "After running the previous cell, we know the model exists in the cache directory. Then, we delete the compiled model and load it again. Now, we measure the time it takes now."
    ]
   },
   {