feat: add YOLO 2026 Coral TPU detection skill (Docker-based)#178
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feat: add YOLO 2026 Coral TPU detection skill (Docker-based)#178
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solderzzc
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Mar 24, 2026
solderzzc
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- Docker-only deployment for all platforms (Linux, macOS, Windows)
- Docker Desktop 4.35+ USB/IP for macOS/Windows USB passthrough
- YOLO26n Edge TPU model (INT8, 320x320, ~4ms inference)
- pycoral-based inference with CPU fallback
- JSONL stdin/stdout protocol (same as yolo-detection-2026)
- deploy.sh/deploy.bat for autonomous Docker image build
- Colab/Kaggle compilation script for Edge TPU model
- TPU device selector and clock speed config
- Docker-only deployment for all platforms (Linux, macOS, Windows) - Docker Desktop 4.35+ USB/IP for macOS/Windows USB passthrough - YOLO26n Edge TPU model (INT8, 320x320, ~4ms inference) - pycoral-based inference with CPU fallback - JSONL stdin/stdout protocol (same as yolo-detection-2026) - deploy.sh/deploy.bat for autonomous Docker image build - Colab/Kaggle compilation script for Edge TPU model - TPU device selector and clock speed config
- Docker deployment using official openvino/ubuntu22_runtime image - Supports Intel NCS2 (MYRIAD), Intel GPU (iGPU/Arc), and CPU - AUTO device selector lets OpenVINO pick best available - FP16/INT8/FP32 precision options - YOLO26n with Ultralytics OpenVINO backend - JSONL stdin/stdout protocol (same as yolo-detection-2026) - Colab script for model export (runs on any platform)
… update OpenVINO detect.py: - Add file_read timing metric (matches Coral TPU) - Add frame-not-found guard in main loop (empty detections response) - Add invalid JSON log message instead of silent continue OpenVINO SKILL.md: - Add description fields to all parameters - Add Platform Setup (Linux/macOS/Windows) section - Add Model section with compile instructions - Add Bounding Box Format section OpenVINO deploy.sh: - Add find_docker() function pattern - Add exit code 2 for partial success (CPU-only) - Add architecture to platform progress event - Add accelerator_found field in complete event OpenVINO deploy.bat: - Add Docker version reporting - Add device probe result checking New: scripts/compile_model.py - Local model export (--model, --size, --precision, --output) - FP16/INT8/FP32 via YOLO.export(format=openvino) README.md: - Add Coral TPU and OpenVINO to Skill Catalog (🧪 Testing) - Add Detection & Segmentation Skills architecture section - Add mermaid diagram showing native vs Docker detection paths - Add LLM-Assisted Skill Installation explanation
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