axiom-ios-vision

To implement pose estimation using the Vision framework, you process live video streams to detect and track human body poses in real-time. This Skill handles sequence processing and tracks poses across video frames.

Subject segmentation on iOS isolates subjects from their backgrounds using the Vision framework. This Skill enables lifting subjects while excluding elements like hands, allowing precise object isolation for image manipulation.

The best way to recognize text and scan documents is using VisionKit and DataScannerViewController. This Skill facilitates OCR text recognition, barcode detection, and document scanning to extract structured data from physical documents.

Low confidence detections in the Vision framework often result from suboptimal image analysis conditions or coordinate conversion issues. This Skill addresses these common challenges and provides performance optimization techniques to improve detection accuracy.

Yes, you can detect people in a live camera feed and draw bounding boxes around them using the Vision framework. This Skill provides the implementation logic for detecting faces, people, and objects in both images and video streams.

Coordinate conversion issues arise when mapping normalized Vision framework detection coordinates to screen or view coordinates. This Skill provides solutions for accurately converting bounding box and pose landmark coordinates for UI rendering.