- Learning Microsoft Cognitive Services
- Leif Larsen
- 202字
- 2021-08-13 15:40:15
Analyze an image using the Computer Vision API
The Computer Vision API allows us to process an image and retrieve information about it. It relies on advanced algorithms to analyze the content of the image in different ways, based on our needs.
Throughout this section, we will learn how to take advantage of this API. We will look at the different ways to analyze an image through standalone examples. Some of the features we will cover will also be incorporated into our end-to-end application in a later chapter.
Calling any of the APIs will return one of the following response codes:
Code Description
200 Information of the extracted features in JSON format.
400 Typically, this means bad request. It may be an invalid image URL, an image that is too small or too large, an invalid image format, or any other errors to do with the request body.
415 Unsupported media type.
500 Possible errors may include a failure to process the image, image processing timing out, or an internal server error.
推薦閱讀
- 零點起飛學Xilinx FPG
- Learning SQL Server Reporting Services 2012
- Learning AngularJS Animations
- 基于Proteus和Keil的C51程序設計項目教程（第2版）：理論、仿真、實踐相融合
- 精選單片機設計與制作30例（第2版）
- Manage Partitions with GParted How-to
- 單片機系統設計與開發教程
- Machine Learning Solutions
- 圖解計算機組裝與維護
- Learning Microsoft Cognitive Services
- 電腦軟硬件維修寶典
- Unreal Development Kit Game Programming with UnrealScript：Beginner's Guide
- 電腦組裝與維修實戰
- SOA架構：服務和微服務分析及設計（原書第2版）
- 3D打印：從全面了解到親手制作（全彩版）