shiyuan0806's repositories

3DDFA_V2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV, 2020

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AICIty-reID-2020

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

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Awesome-Crowd-Counting

Awesome Crowd Counting

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cavaface.pytorch

:beers: :rocket: :city_sunset: face recognition project(pytorch)

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deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

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Deep-SORT-YOLOv4

People detection and optional tracking with Tensorflow backend.

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Deep3dPortrait

Deep 3D Portrait from a Single Image

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DM-Count

Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

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fast-reid

SOTA ReID Methods and Toolbox

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IBN-Net

Instance-Batch Normalization Networks (ECCV2018)

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light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

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lpcvc

[LPIRC 2019, ICCV 2019] Winner Solution for 4th LPCVC

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msba_reid

Official code for paper "MSBA: Multiple Scales, Branches and Attention Network With Bag of Tricks for Person Re-Identification"

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NAIC_Person_ReID_DMT

This is Top 3 Code for the Person ReID Compitition of NAIC

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ncnn

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

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PAA

A PyTorch implementation of the paper `Probabilistic Anchor Assignment with IoU Prediction for Object Detection` ECCV 2020 (https://arxiv.org/abs/2007.08103)

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PaddleClas

A treasure chest for image classification powered by PaddlePaddle

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PyRetri

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

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ReID-Survey

Deep Learning for Person Re-identification: A Survey and Outlook

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Silent-Face-Anti-Spoofing

静默活体检测(Silent-Face-Anti-Spoofing)

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Smoke-Detect-by-YoloV5

Yolov5 real time smoke detection system

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swa-tutorials-pytorch

Stochastic Weight Averaging Tutorials using pytorch.

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thor

thor: C++ helper library, for deep learning purpose

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TNN

TNN:由腾讯优图实验室打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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Ultra-Fast-Lane-Detection

The implementation of paper "Ultra Fast Structure-aware Deep Lane Detection"

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VisDA2020_Code_From_Top_Teams

The code from the top teams in the VisDA-2020 Challenge

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Yet-Another-reid-baseline

A simple baseline for Person ReID, it achieves 3rd place in VisDA2020 challenge.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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