aaronyking,github

A windows caffe implementation of YOLO detection network

Samples for TensorRT/Deepstream for Tesla & Jetson

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

FeatherCNN is a high performance inference engine for convolutional neural networks.

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

Face Technology Repository

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Face Recognition Project on MXNet

An open source library for face detection in images. The face detection speed can reach 1500FPS.

A Libtorch implementation of the YOLO v3 object detection algorithm

A face recognition solution on mobile device.

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

A caffe implementation of MobileNet-YOLO detection network

ncnn is a high-performance neural network inference framework optimized for the mobile platform

This research aims at simply deploying deeplearning on mobile devices, with low complexity and high speed.

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Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

TensorRT for Yolov3

TensorRT Net Wrapper

微信小程序示例教程（豆瓣电影）精简版本，老版本：https://github.com/zce/weapp-demo

aaronyking Goto Github PK