AI (42) 썸네일형 리스트형 3-6. Hello Image Segmentation 참고: https://docs.openvino.ai/2024/notebooks/hello-segmentation-with-output.html Hello Image Segmentation — OpenVINO™ documentationHello Image Segmentation This Jupyter notebook can be launched on-line, opening an interactive environment in a browser window. You can also make a local installation. Choose one of the following options: A very basic introduction to using segmentation moddocs.openvin.. 3-5. Hello Image Classification 참조: https://docs.openvino.ai/2024/notebooks/hello-world-with-output.html Hello Image Classification — OpenVINO™ documentationHello Image Classification This Jupyter notebook can be launched on-line, opening an interactive environment in a browser window. You can also make a local installation. Choose one of the following options: This basic introduction to OpenVINO™ shows howdocs.openvino.ai 이번 .. 3-4. Hello Object Detection 참조: https://docs.openvino.ai/2024/notebooks/hello-detection-with-output.html Hello Object Detection — OpenVINO™ documentationHello Object Detection This Jupyter notebook can be launched on-line, opening an interactive environment in a browser window. You can also make a local installation. Choose one of the following options: A very basic introduction to using object detection mdocs.openvino.ai .. 3-3. Frame interpolation using FILM and OpenVINO 참고: https://docs.openvino.ai/2024/notebooks/film-slowmo-with-output.html Frame interpolation using FILM and OpenVINO — OpenVINO™ documentationFrame interpolation using FILM and OpenVINO This Jupyter notebook can be launched after a local installation only. Frame interpolation is the process of synthesizing in-between images from a given set of images. The technique is often used for temporal up-.. 3-2. Colorize grayscale images using DDColor and OpenVINO 참고: https://docs.openvino.ai/2024/notebooks/ddcolor-image-colorization-with-output.html Colorize grayscale images using DDColor and OpenVINO — OpenVINO™ documentationColorize grayscale images using DDColor and OpenVINO This Jupyter notebook can be launched after a local installation only. Image colorization is the process of adding color to grayscale images. Initially captured in black and white.. 3-1. 3D Human Pose Estimation with OpenVINO 참조: https://docs.openvino.ai/2024/notebooks/3D-pose-estimation-with-output.html Live 3D Human Pose Estimation with OpenVINO — OpenVINO™ documentationMain Processing Function Run 3D pose estimation on the specified source. It could be either a webcam feed or a video file. def run_pose_estimation(source=0, flip=False, use_popup=False, skip_frames=0): """ 2D image as input, using OpenVINO as infere.. 3. OpenVINO 실습 참조: https://docs.openvino.ai/2024/learn-openvino/interactive-tutorials-python.html Interactive Tutorials (Python) — OpenVINO™ documentationInteractive Tutorials (Python) Jupyter notebooks show how to use various OpenVINO features to run optimized deep learning inference with Python. Notebooks with and buttons can be run in the browser, no installation required. Just choose a tutorial and clicdoc.. 2. OpenVINO 설치 참조: https://docs.openvino.ai/2024/get-started/install-openvino/install-openvino-archive-windows.html -- OpenVINO 설치 --앞에서 설치 준비는 다 했으므로 이제 OpenVINO를 설치해보자.글을 쓰는 지금 현재는 2024년 7월이고 이때 최근 공식버젼은 2024.2.0 이다 아래에서 다운로드 받을 수 있다.https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.2/windows/ storage.openvinotoolkit.org storage.openvinotoolkit.org 여기서 sha256 파일도 있는데 이건 다운받은 파일이 제대로 되었는.. 이전 1 2 3 4 5 6 다음
