object-detection-edge

SKILLFlujo de trabajocomunidad
v0.0.0rahulbachinaUnknownActualizado hace 2 mFuente →

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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hace 2 mÚltima actualización
Skill
Autorrahulbachina
Versión0.0.0
LicenciaUnknown
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
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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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