# 慈濟大學醫學資訊學系 智慧醫療工作坊(2023/11/17) ## 利用邊緣運算工具OpenVINO快速搭建智慧醫療應用(快速指令表) 講師:歐尼克斯實境互動工作室 許哲豪(Jack Hsu)博士 2023/11/17 整理製作 ### Intel OpenVINO常用網頁 1. [Intel OpenVINO Documents](https://docs.openvino.ai/) 2. [Intel OpenVINO Download](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html ) 3. [Intel OpenVINO Notebooks Github](https://github.com/openvinotoolkit/openvino_notebooks) 4. [Intel OpenVINO Storage - Notebooks](https://storage.openvinotoolkit.org/repositories/openvino_notebooks/) 5. [Intel OpenVINO - Open Model Zoo](https://docs.openvino.ai/2023.1/model_zoo.html) (註:已停止維護但仍何使用) ### 安裝Intel OpenVINO Notebooks到本地端 (Windows版本) 參考網頁:https://github.com/openvinotoolkit/openvino_notebooks/wiki/Windows 1. Install Python 安裝3.8版以上64位元版本 2. Install Git 3. Install C++ Redistributable (For Python >3.8) 4. Install the Notebooks 5. 創建虛擬環境 python -m venv openvino_env 6. 啟動虛擬環境 openvino_env\Scripts\activate 7. 複製儲存庫並進入該路徑 git clone --depth=1 https://github.com/openvinotoolkit/openvino_notebooks.git cd openvino_notebooks 8. 更新Python安裝工具並安裝套件包(約數十分鐘,視網速而定) python -m pip install --upgrade pip wheel setuptools pip install -r requirements.txt 9. **新增環境變數,在Path下加入,以免程式執行時找不到相關DLL** X:\openvino_env\Lib\site-packages\openvino\libs\ 10. 執行Notebooks (全部範例都一起載入) jupyter lab notebooks ### 影像分類 * [影像標註工具 LableImg](https://github.com/HumanSignal/labelImg) * [練習用資料集-人臉、狗臉、貓臉](https://github.com/OmniXRI/Yolov4-tiny_Colab_User_Datasets/blob/main/my_dataset.zip ) * 免費資料集及模型庫 * [Papers with code](https://paperswithcode.com/) * [機器之心 SOTA](https://sota.jiqizhixin.com/datasets) * [Kaggle](https://www.kaggle.com/) * [Roboflow](https://roboflow.com/) * [OpenVINO Notebooks - Hello Image Classification](https://docs.openvino.ai/2023.1/notebooks/001-hello-world-with-output.html) * [OpenVINO - Automatic Device Selection](https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_supported_plugins_AUTO.html) ### 物件偵測 * [物件偵測 - 人臉偵測範例](https://colab.research.google.com/github/OmniXRI/OpenVINO2022_on_Colab_Samples/blob/main/OpenVINO_Face_Detection_on_Colab.ipynb) * [物件偵測 - YOLOv8物件偵測範例](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/230-yolov8-optimization/230-yolov8-object-detection.ipynb ) * [物件偵測 - 網路攝影機即時物件偵測範例(本地端)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb ) ### 影像分割 * [Hello Image Segmentation](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/003-hello-segmentation/003-hello-segmentation.ipynb) * [Convert and Optimize YOLOv8 instance segmentation model with OpenVINO™](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/230-yolov8-optimization/230-yolov8-instance-segmentation.ipynb) * [Image Background Removal with U^2-Net and OpenVINO™](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb) ### 參考文獻及學習資源 * [Intel OpenVINO Toolkit (YOUTUBE)](https://www.youtube.com/watch?v=kY9nZbX1DWM&list=PLg-UKERBljNxdIQir1wrirZJ50yTp4eHv) * [Intel OpenVINO Toolkit (Meduim)](https://medium.com/@openvino) * [歐尼克斯實境互動工作室─系列發文─OpenVINO](https://hackmd.io/@OmniXRI-Jack/series_articles#OpenVINO%E7%B3%BB%E5%88%97) * [MakerPRO─OpenVINO專欄](https://makerpro.cc/openvino-column/) * [Intel OpenVINO DevCup 2021精彩回顧(實作組)](https://makerpro.cc/intel-devcup/popular-vote-for-practice-group/) * [CAVEDU教育團隊技術部落格](https://blog.cavedu.com/?s=openvino) * [Edge AI Taiwan邊緣智能交流區](https://www.facebook.com/groups/edgeaitw) * [NTUST Edge AI 人工智慧與邊緣運算實務](https://omnixri.blogspot.com/p/ntust-edge-ai.html) * [OmniXRI Github - OpenVINO2022_on_Colab_Samples](https://github.com/OmniXRI/OpenVINO2022_on_Colab_Samples)
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