3 open source projects by dog-qiuqiu

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

✭ 1,566

c Cuda C++python CMake Batchfile deep-learning computer-vision object-detection cnn face-detection yolo yolov3 cv darknet mobilenetv2 landmark-detection landmark mnn ncnn mobilenet-yolo ncnn-model mnn-framework

2. Yolo Fastest

⚡️ Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

✭ 1,100

3. Android ncnn yolov4 Tiny

yolov4-tiny ncnn android sample

✭ 27

1-3 of 3 user projects