qinghua2016

qinghua2016's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.3k3156795.7k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.5k3304474.3k

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python26.2k1791304.9k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.3k1581.8k3.5k

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.8k4231931.3k

• espnet/espnet

  End-to-End Speech Processing Toolkit

  Language:Python8.6k1782.4k2.2k

• Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

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

  Language:Python7.2k1912661.5k

• modelscope/modelscope

  ModelScope: bring the notion of Model-as-a-Service to life.

  Language:Python7.2k78641742

• zihangdai/xlnet

  XLNet: Generalized Autoregressive Pretraining for Language Understanding

  Language:Python6.2k1702631.2k

• facebookresearch/encodec

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

  Language:Python3.5k5871310

• tianzhi0549/FCOS

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

  Language:Python3.3k59379629

• ronghuaiyang/arcface-pytorch

  Language:Python1.8k19114390

• xiaolai-sqlai/mobilenetv3

  mobilenetv3 with pytorch，provide pre-train model

  Language:Python1.7k2350341

• qfgaohao/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.

  Language:Python1.4k40172535

• kenshohara/video-classification-3d-cnn-pytorch

  Video classification tools using 3D ResNet

  Language:Python1.1k1963260

• zhmiao/OpenLongTailRecognition-OLTR

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

  Language:Python8512971129

• yl-1993/learn-to-cluster

  Learning to Cluster Faces (CVPR 2019, CVPR 2020)

  Language:Python7101686143

• ucbdrive/3d-vehicle-tracking

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

  Language:Python6642447134

• JDAI-CV/DCL

  Destruction and Construction Learning for Fine-grained Image Recognition

  Language:Python5901777158

• lbeaucourt/Object-detection

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

  Language:Python5154916215

• asdfqwrasdf/ArcFaceDemo

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

  Language:Java43317123174

• sacmehta/EdgeNets

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

  Language:Python412193782

• Zhongdao/gcn_clustering

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

  Language:Jupyter Notebook361104486

• hujinsen/pytorch-StarGAN-VC

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

  Language:Python24771256

• chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd

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

  Language:C++20051042

• jixing0415/caffe-mobilenet-v3

  Caffe Implementation of MobileNets V3

  1307792

• inayatkh/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.

  Language:Python1193430

• modelscope/kws-training-suite

  Language:Python9171218

• ziliHarvey/Lucas-Kanade-tracking-and-Correlation-Filters

  An implementation of several tracking algorithms based on Lucas Kanade algorithms

  Language:Python501314

• Avinash793/object-tracking-software

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

  Language:Python332112