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Computer-Vision-Optimizing-Yolo
aburiz · PyTorch
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Overview
Name
Computer-Vision-Optimizing-Yolo
Author
aburiz
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
The goal was to create an intelligent system capable of identifying objects and manipulating them accordingly. This experimental write-up documents my journey through setting up YOLO (You Only Look Once) models, optimizing performance with NCNN, and interfacing with a robotic arm to achieve seamles
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
20realmanrobot-hand-eye-calibrationnot in seedmasterhow-oneoccnot in seedsergionr2-racingrobotnot in seedgabrielnhn-ros2-line-followernot in seedvivek1795-gesture-controlled-robotic-arm-in-mujoconot in seedlogesh1516-mycobot-280jn-descriptionnot in seedcrm-uam-visionracenot in seeddavide-ciraolo-fischertechnik-3d-robot-webcam-gestures-systemnot in seedbobbycephy-robot-gripper-cameranot in seedsamyukamtam-hexapodnot in seedtx-leo-camera-calibration-handeye-calibrationnot in seedflexiv-camera-modulenot in seeddavidea97-multi-camera-hand-eye-calibrationnot in seedrensauce-3ugersip-group3not in seedfpj-gaoge-finsrov-an-underwater-camera-based-multi-robot-platformnot in seedsallu-786-ros2-mcp-web-portalnot in seedsiddhant-135-sacrid-vision-pipelinenot in seeddobot-vx500-smart-cameranot in seedargymats-thesis-delta-robotnot in seedislamahmedes43-gochase2not in seed
Compatible environments
0No environments list Computer-Vision-Optimizing-Yolo yet.
Datasets that reference this policy
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