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Huizhou

Xiangrong Chen

Expert
@ppogg

Hello, I'm pogg. I will record some interesting experiment here.

YOLOv5-Lite. 🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

2.5k

Retinaface_Ghost. This is a project based on retinaface face detection, including ghostnet and mobilenetv3

84

AutoLabelImg. Auto-labelimg based on YOLOv5-5.0 & YOLOv5-Lite

83

YOLO-Streaming. Push-pull streaming and Web display of YOLO series

80

onnx-scrfd-flask. onnx+onnxruntime+scrfd+flask+web

39

Deepstream-Box. deepstream + cuda，yolo26，yolo-master，yolo11，yolov8，sam，transformer, etc.

26

ncnn-yolov4-int8. NCNN+Int8+YOLOv4 quantitative modeling and real-time inference

24

ncnn-android-v5lite. C++

18

YOLOv8-rknnPool. 173FPS with YOLOv8n ( officical model )

2

ppogg.

1