dog-qiuqiu's Stars
pjreddie/darknet
Convolutional Neural Networks
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
dog-qiuqiu/Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
cmdbug/YOLOv5_NCNN
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
dog-qiuqiu/Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
pnnx/pnnx
PyTorch Neural Network eXchange
dog-qiuqiu/Ultralight-SimplePose
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
giswangsj/RvParallaxImageView
RvParallaxImageView用在recyclerview的item中,它可以随着recyclerview进行视差效果的移动,进而可以在一个小区域的item中展示一个完整的图片。适用于在recyclerview的item中显示大的广告图。
dog-qiuqiu/simple-rknn2
The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588
dog-qiuqiu/Android_NCNN_yolov4-tiny
yolov4-tiny ncnn android sample
maxuehao/caffe
Add yolov3 upsampler layer