计算机视觉三维视觉
Some days ago we announced the preview of Windows Vision Skills, a set of NuGet packages that make it easy for application developers to solve complex computer vision problems using a simple set of APIs.
几天前，我们宣布了Windows Vision Skills的预览版，这是一组NuGet软件包 ，使应用程序开发人员可以使用一组简单的API轻松解决复杂的计算机视觉问题。
Figure 1- From left to right, you are seeing in action the Object Detector, Skeletal Detector, and Emotion Recognizer skills.
图1-从左到右，您将看到对象检测器，骨骼检测器和情绪识别器的技能。
With Windows Vision Skills:
具备Windows视觉技能：
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An app developer can use out-of-box WinRT APIs to add pre-built vision skills like object detection, skeletal detection and face sentiment analysis in their Windows applications (.NET, Win32, and UWP).
应用程序开发人员可以使用现成的WinRT API在其Windows应用程序(.NET，Win32和UWP)中添加预建的视觉技能，例如对象检测，骨骼检测和面部表情分析。
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A computer vision developer can leverage hardware acceleration frameworks on Windows devices by packaging their solution as a Vision Skill – without worrying about low-level APIs.
计算机视觉开发人员可以通过将Windows解决方案打包为视觉技能来利用Windows设备上的硬件加速框架，而无需担心底层API。
All Windows Vision Skills inherit the base classes and interfaces in Microsoft.AI.Skills.SkillInterfacePreview. This open framework can easily be extended to work with existing machine learning frameworks and libraries such as OpenCV.
所有Windows视觉技能都继承Microsoft.AI.Skills.SkillInterfacePreview中的基类和接口。 可以轻松扩展此开放框架，使其与现有的机器学习框架和库(例如OpenCV)一起使用。
Windows Vision Skills complements existing Windows support for inference of ONNX models by utilizing WinMLfor local inferencing. The framework allows you to build intelligent applications while leveraging platform optimization.
Windows Vision Skills通过利用WinML进行本地推理来补充现有Windows支持ONNX模型的推理。 该框架允许您在利用平台优化的同时构建智能应用程序。
现在就开始！ (Get started now!)
Play around with samples or learn how to create your own Windows Vision Skills using our tutorials.
试玩示例，或使用我们的教程学习如何创建自己的Windows视觉技能。
Have a feature request or want to submit feedback? Find us on GitHub.
有功能要求或想提交反馈？ 在GitHub上找到我们。
计算机视觉三维视觉