object-detection-edge

SKILLWorkflowCommunity
v0.0.0rahulbachinaUnknownAktualisiert vor 2 Mon.Quelle →

Use when deploying object detection on robot edge hardware (Jetson, Coral, Raspberry Pi) — selecting and training YOLO-family models, TensorRT/INT8 quantization, hitting fps/latency budgets, building custom datasets for robot viewpoints, adding multi-object tracking (SORT/ByteTrack), and estimating

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vor 2 Mon.Letzte Aktualisierung
Skill
Autorrahulbachina
Version0.0.0
LizenzUnknown
KategorieWorkflow
Formateskill.md
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Kompatibilität
Claude✓ Unterstützt
Cursor
Copilot
ChatGPT
Gemini
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Use when deploying object detection on robot edge hardware (Jetson, Coral, Raspberry Pi) — selecting and training YOLO-family models, TensorRT/INT8 quantization, hitting fps/latency budgets, building custom datasets for robot viewpoints, adding multi-object tracking (SORT/ByteTrack), and estimating object distance from bounding boxes. Provides exact export/quantization workflows, parameter startin

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