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2016_person_re-id

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

adaboost

串行集成学习方法 自适应增强 Adaboost

algorithm

算法刷题记录

algorithm-collection

算法题目汇总【力扣、剑指offer】

alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

ants

🐜🐜🐜 ants is a high-performance and low-cost goroutine pool in Go, inspired by fasthttp./ ants 是一个高性能且低损耗的 goroutine 池。

converter

database table to golang struct (table to struct) converter with cli and go lib support

decisiontree

决策树实现 ID3算法 信息增益计算

deep-learning-project-template

A best practice for deep learning project template architecture.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dissecting-person-re-id-from-the-viewpoint-of-viewpoint

Project page of "Dissecting-Person-Re-identification-from-the-Viewpoint-of-Viewpoint, cvpr2019"

dogsvscats

图像二分类问题 猫狗大战 pytorch CNN

flaskconnectajax

Flask与ajax（jQuery）交互的几种方法：post、get、getJSON、load、ajax

gobgp

BGP implemented in the Go Programming Language

hello-world

Just another repository

iccv19_attribute

Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.

ide-baseline-market-1501

ID-discriminative Embedding (IDE) for Person Re-identification

k-means

knn

K近邻算法

kuhn_munkres_algorithm

KM算法的python实现

motdt

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

mtmc

Fork of https://github.com/ergysr/DeepCC, but not same. There are some changes.

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

open-reid

Open source person re-identification library in python

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pnda

Release notes and resources for building PNDA

pnda-guide

Documentation on how to set up and use PNDA