compressImage
Generated on 3/5/2025
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The concept of "compressImage" isn't directly mentioned in the provided context. However, the session titled "Bring your machine learning and AI models to Apple silicon" discusses various techniques for model compression, which could be relevant if you're interested in compressing models that handle image data.
In this session, several techniques are discussed, such as palletization, quantization, and pruning, which are used to reduce the size of machine learning models. These techniques can be applied to models that process images, potentially making them more efficient for deployment on devices with limited resources like iPhones or iPads.
For more detailed information on model compression techniques, you can refer to the session Bring your machine learning and AI models to Apple silicon (02:47).
Use HDR for dynamic image experiences in your app
Discover how to read and write HDR images and process HDR content in your app. Explore the new supported HDR image formats and advanced methods for displaying HDR images. Find out how HDR content can coexist with your user interface — and what to watch out for when adding HDR image support to your app.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
Optimize your 3D assets for spatial computing
Dive into an end-to-end workflow for optimized 3D asset creation. Discover best practices for optimizing meshes, materials, and textures in your digital content creation tool. Learn how to harness shader graph, baking, and material instances to enhance your 3D scene while optimizing performance. Take advantage of native tools to work more effectively with your assets and improve your app’s performance.
Discover area mode for Object Capture
Discover how area mode for Object Capture enables new 3D capture possibilities on iOS by extending the functionality of Object Capture to support capture and reconstruction of an area. Learn how to optimize the quality of iOS captures using the new macOS sample app for reconstruction, and find out how to view the final results with Quick Look on Apple Vision Pro, iPhone, iPad or Mac. Learn about improvements to 3D reconstruction, including a new API that allows you to create your own custom image processing pipelines.
Discover Swift enhancements in the Vision framework
The Vision Framework API has been redesigned to leverage modern Swift features like concurrency, making it easier and faster to integrate a wide array of Vision algorithms into your app. We’ll tour the updated API and share sample code, along with best practices, to help you get the benefits of this framework with less coding effort. We’ll also demonstrate two new features: image aesthetics and holistic body pose.
Analyze heap memory
Dive into the basis for your app’s dynamic memory: the heap! Explore how to use Instruments and Xcode to measure, analyze, and fix common heap issues. We’ll also cover some techniques and best practices for diagnosing transient growth, persistent growth, and leaks in your app.