feat: Add support for .mlpackage formal models #2
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…izations, and UX clarity (#1) * Add test target and Core ML pipeline coverage * Add test hooks for video detection timing * Fix test imports and Vision observation setup * Fix Vision pipeline test invocation * Link test target to app product * Add bundle loader to test target * Handle compiled model resource in tests * Document expected precisionRecallCurves warning * tests: Coverage before framework improvements * feat: Modernise CoreML loading & inference for stateful models, safer optimizations, and UX clarity * refact: Split test into behaviour related suites * chore: Bump macos and xcode versions * chore: Change CI to only run on PR
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Disclaimer: I've never written a line of Swift or followed a tutorial on it in my life. This code was developed with the help of gpt-4-turbo-0125 and compiles and runs on XCode 15.2.
Changes
.mlpackagealongside the already supported.mlmodelfile format.info.plistUTTypefor the.mlpackagetoConstants.swiftInitializer for conditional binding must have Optional type, not CGRectinDetectionView.swiftonGeometryReadergetVideoRectwithout conditional bindingTesting
Tested with a yolov8x.mlpackage generated using
yolo export model=yolov8x.pt format=coreml nms=truethrough the latestultralyticspackageBuilt Application
My unofficial version 1.0.3