MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
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Updated
Feb 6, 2021 - C
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library
The Upscayl backend powered by the NCNN framework and Real-ESRGAN architecture.
The style transfer android example
CAIN, Channel Attention Is All You Need for Video Frame Interpolation implemented with ncnn library
A demo of real-time face recognition on Android.
可在浏览器和微信小程序中使用的人脸识别算法. This is a WASM implementation of the Retinaface face detection algorithm.
An example for porting nerual network to vapoursynth.
This project can easily test the ncnn model and even deploy ncnn projects on python to speed up
Conversion of YOLOv2_tiny from Caffe to NCNN, and tested under NCNN
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