PoseDetection/posedetection/ at release-4.13.0 · nateholland.bsky.social/PoseDetection · Tangled

nateholland.bsky.social / PoseDetection

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PoseDetection / posedetection /

at release-4.13.0 1 folder 1 file

virtualintern chore: bump version to 4.13.0 2mo ago

perf: parallel pose+object detection + CPU+XNNPACK default on Android On Samsung SM-A366B the GPU delegate offloaded only 26/685 YOLO26n ops; the CPU↔GPU roundtrip tax dominated, and in BOTH mode the GPU also contended with the pose pipeline. Flipping the default to CPU+XNNPACK (setUseXNNPACK(true) is required on tensorflow-lite-support 0.5.0, otherwise pure CPU is ~100× slower) raised BOTH-mode FPS 8.8 → 9.9. Removing the even/odd alternation in CameraView.android.kt activated the already-existing `poseExecutor` parallel path in Utils.android.kt, so in BOTH mode each camera frame now runs both detectors concurrently instead of every other frame. Net: effective per-detector rate doubled. numThreads dropped 4 → 3 for the object interpreter so concurrent pose + object don't oversubscribe the 8-core CPU. Runtime override preserved: `adb shell setprop debug.tflite.delegate GPU|NNAPI|CPU`. Combined with tonight's INT8 baseline re-export, on-device BOTH-mode FPS went 8.77 → 16.02 (+83%) with effective object-detection rate rising from ~4.4 to ~16 FPS. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2 months ago

build.gradle.kts

chore: bump version to 4.13.0 Android CPU+XNNPACK default delegate + parallel pose/object detection. Backwards-compatible — public API unchanged, Android inference behavior changed significantly (semver minor bump). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2 months ago