qinghua2016's starred repositories

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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sonnet

TensorFlow-based neural network library

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espnet

End-to-End Speech Processing Toolkit

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Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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mobilenetv3

mobilenetv3 with pytorch,provide pre-train model

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pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

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video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

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OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

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learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

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3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

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DCL

Destruction and Construction Learning for Fine-grained Image Recognition

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mtcnn_ncnn

基于ncnn框架搭建win及android端的MTCNN人脸检测工程

Object-detection

Object detection project for real-time (webcam) and offline (video processing) application.

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ArcFaceDemo

ArcSoft Free SDK demo,support ArcFace2.1, ArcFace2.0, ArcFace1.2

EdgeNets

This repository contains the source code of our work on designing efficient CNNs for computer vision

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gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

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pytorch-StarGAN-VC

Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

ncnnforandroid_objectiondetection_Mobilenetssd

:fire:利用Mobilenetssd目标检测框架,ncnn前向推理,android项目

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

tracking-python3

In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.

Lucas-Kanade-tracking-and-Correlation-Filters

An implementation of several tracking algorithms based on Lucas Kanade algorithms

Language:PythonLicense:MITStargazers:47Issues:1Issues:3

Lucas-Kanade-Tracker

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

mxnet-wgan

mxnet implement for Conditional Wasserstein GAN

ncnn

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

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kaldi

This is now the official location of the Kaldi project.

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marytts

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

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