feat(detection): route Apple Silicon YOLO to Neural Engine (NPU)#142
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feat(detection): route Apple Silicon YOLO to Neural Engine (NPU)#142
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On Apple Silicon, force CoreML compute_units to CPU_AND_NE so object detection runs on the 16-core Neural Engine instead of GPU, leaving GPU free for LLM/VLM inference. Changes: - env_config.py: add compute_units field to BackendSpec, MPS defaults to cpu_and_ne, monkey-patch coremltools.MLModel during YOLO load - detect.py: report compute_units in ready event - SKILL.md: add compute_units parameter, update acceleration table - test_env_config_ane.py: 15 unit tests for NPU logic
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On Apple Silicon, force CoreML compute_units to CPU_AND_NE so object detection runs on the 16-core Neural Engine instead of GPU, leaving GPU free for LLM/VLM inference.
Changes: