Image crop
Asked on 06/17/2025
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Apple's WWDC sessions have covered various aspects of image cropping and processing. Here are some highlights from the sessions:
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BNNS Graph: The session "What’s new in BNNS Graph" discusses how to perform image cropping using the BNNSGraph Builder API. It explains how to define pixel buffers and use the slice operation to crop images efficiently without copying data. This is particularly useful for pre-processing images before passing them to machine learning models. You can learn more about this in the BNNSGraphBuilder chapter.
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Vision Framework: In the session "Discover Swift enhancements in the Vision framework," there's a focus on using the
generateObjectnessBasedSaliencyImageRequestto identify the main subjects in an image and create a crop around them. This approach is useful for generating thumbnails and optimizing image processing with Swift concurrency. More details can be found in the Optimize with Swift Concurrency chapter. -
HDR Image Processing: The session "Use HDR for dynamic image experiences in your app" covers applying filters like the stretch crop filter to HDR images. This involves warping images and ensuring consistent tone mapping across different displays. You can explore this topic further in the Edit strategies chapter.
These sessions provide insights into different techniques and APIs for image cropping and processing, leveraging Apple's latest technologies and frameworks.
What’s new in BNNS Graph
The BNNS Graph Builder API now enables developers to write graphs of operations using the familiar Swift language to generate pre- and post-processing routines and small machine-learning models. BNNS compiles graphs ahead of execution and supports real-time and latency-sensitive use cases such as audio processing. In this session, we revisit last year’s bit-crusher example and simplify the Swift component by removing the reliance on a separate Python file and instead implement the audio effect entirely in Swift. The BNNS Graph Builder API is also suited to pre-processing image data before passing that data to a machine learning model. The session also includes a demonstration of clipping the transparent pixels from an image with an alpha channel.
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.
Build compelling spatial photo and video experiences
Learn how to adopt spatial photos and videos in your apps. Explore the different types of stereoscopic media and find out how to capture spatial videos in your iOS app on iPhone 15 Pro. Discover the various ways to detect and present spatial media, including the new QuickLook Preview Application API in visionOS. And take a deep dive into the metadata and stereo concepts that make a photo or video spatial.