object-detection-edge

SKILLWorkflowcommunauté
v0.0.0rahulbachinaUnknownMis à jour il y a 2 moisSource →

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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il y a 2 moisDernière mise à jour
Skill
Auteurrahulbachina
Version0.0.0
LicenceUnknown
CatégorieWorkflow
Formatsskill.md
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Claude✓ Pris en charge
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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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