How do I use computer vision?

Generated on 7/31/2024

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To use computer vision in your apps, you can leverage the Vision framework provided by Apple. Here are some key points and steps to get started:

  1. Introduction to Vision Framework:

    • Vision is a framework that offers computer vision APIs for developers to create apps with capabilities like face detection, text recognition, body pose tracking, and more. It supports 18 different languages for text recognition and includes features like hand pose tracking (Discover Swift enhancements in the Vision framework).
  2. New Vision API:

  3. Getting Started with Vision:

    • Everything in Vision begins with a request. A request is a question you ask of an image, such as detecting faces, recognizing text, or identifying objects. For example, you can use detectFaceRectanglesRequest to find faces or recognizeTextRequest to understand text (Discover Swift enhancements in the Vision framework).
  4. Example Use Case:

    • To illustrate, if you want to build a grocery store application to scan barcodes, you can use the detectBarcodesRequest. You create the request, perform it on the image, and handle the barcode observations produced (Discover Swift enhancements in the Vision framework).
  5. Optimizing with Swift Concurrency:

    • For best performance, especially when processing multiple images, you can use Swift concurrency. This allows you to process batches of images simultaneously. For example, you can crop images to their main subjects using generateObjectnessBasedSaliencyImageRequest (Discover Swift enhancements in the Vision framework).
  6. Updating Existing Vision Applications:

    • To update an existing Vision application to use the new API, you need to adopt the new request and observation types, replace completion handlers with async/await syntax, and handle observations directly from the perform call (Discover Swift enhancements in the Vision framework).

For more detailed information and examples, you can refer to the session Discover Swift enhancements in the Vision framework.