LSH9832/edgeyolo

an edge-real-time anchor-free object detector with decent performance

PythonC++CMakecomputer-visiondeep-learningpytorchyoloobject-detectiontensorrtedge-computingonnxanchor-freeobject-detector
This is stars and forks stats for /LSH9832/edgeyolo repository. As of 02 May, 2024 this repository has 309 stars and 48 forks.

EdgeYOLO: anchor-free, edge-friendly 简体中文 1 Intro 2 Updates 3 Coming Soon 4 Models 5 Quick Start $\quad$5.1 setup $\quad$5.2 inference $\quad$5.3 train $\quad$5.4 evaluate $\quad$5.5 export onnx & tensorrt 6 Cite EdgeYOLO 7 Bugs found currently Tool Recommendation: SAM(Segment Anything Model) assisted labeling tools: SAMLabeler Pro,multi-person remote labeling is supported. 工具推荐: 使用SAM(Segment Anything Model) 辅助的图像标注工具: SAMLabeler Pro,支持多人同时远程标注 Intro In embeded device such as Nvidia Jetson AGX...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
receyuki/nas-toolsPythonHTMLJavaScript367+4814+4
FighterTunnel/tunnelLuaShellC280370
FMInference/FlexGenPythonShell8.6k04900
miguelgrinberg/microdotPythonOther8030870
mobarski/ask-my-pdfPythonOther48701830
Sjb4243/SRPJupyter NotebookRShell0090
Bywalks/DarkAngelRubyPythonShell5090660
chrisbra/Recover.vimVim ScriptPythonMakefile2400250
raspberrypi/picoprobeCCMake51401430
mortbopet/RipesC++AssemblyCMake2.1k+122490