#253 · Primary category: Computer Vision

edgeyolo

anchor-free ascend computer-vision deep-learning edge-computing mnn object-detection object-detector onnx pytorch rk3588 rk3588s rknn tensorrt yolo

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

Project last updated:04/20/26

GitHub Stars

528

Forks

71

Contributors

1

License

Apache-2.0

Why we included this project

EdgeYOLO is an anchor-free detector built for boards that can't handle a full-size GPU model. The repo ships pretrained COCO and VisDrone weights and walks you through training, quantized exports, and C++ inference on Jetson with TensorRT, RK3588 with RKNN, MNN, OpenVINO, Ascend, and Horizon J5. A Docker image standardizes the environment, so you don't waste days wiring separate tools together. Model sizes run from small to larger, letting you compromise between accuracy and frame rate based on your hardware. If you're prototyping on drones or embedded boxes and want a single-stage detector that actually runs, this one.

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