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杨志伟's Projects

ai-toolbox icon ai-toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

alphapose icon alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

cver icon cver

making progress day by day

dataaugmentation_forobjectdetect icon dataaugmentation_forobjectdetect

本仓库主要包含了针对目标检测数据集的增强手段和源码:图像的旋转,镜像,裁剪,亮度/对比度的变换等

dcnv2 icon dcnv2

Deformable Convolutional Networks v2 with Pytorch

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

fcos icon fcos

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

horeid icon horeid

[CVPR2020] High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

hrnet-fcos icon hrnet-fcos

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

hrnet-object-detection icon hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

mcmot icon mcmot

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and re-id

norfair icon norfair

Lightweight Python library for adding real-time 2D object tracking to any detector.

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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