3 open source projects by ppogg

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

✭ 1,230

python C++Makefile c CMake shell pytorch transformer android-app tensorrt mnn mobilenet ncnn tflite shufflenetv2 onnxruntime yolov5 repvgg pplcnet openvivo picodet

2. ncnn-yolov4-int8

NCNN+Int8+YOLOv4 quantitative modeling and real-time inference

✭ 20

C++real-time int8 ncnn yolov4

3. YOLO-Streaming

Push-pull streaming and Web display of YOLO series

✭ 56

python HTML flask web stream dnn yolov3 onnxruntime yolov4 yolov5 yolox

1-3 of 3 user projects