Person Re-identification

Last update: Jun 17, 2021

Related tags

Deep Learning hcmus-person-reid

Overview

Person Re-identification

Final project of Computer Vision

Table of content

Person Re-identification

Students:

Name	Student ID	Email
Nguyen Hoang Quan	18120145	[email protected]
Le Minh Khoa	18120415	[email protected]

Proposed method

Dataset

Market-1501

Dataset preparation

Download raw dataset

Download Market-1501 via Google Drive: link

Set dataset path

In config.json file, change root value to dataset path.

Train

Config

Check config.json file for training configuration.

Run

Run python main.py to start training.

Evaluation

Methods	Train feature	Test feature	Rank-1	Rank-5	mAP
Baseline	Global	Global	83.28	94.18	65.96
Baseline	Local	Local	80.20	92.76	59.66
Baseline	Global, Local	Global	84.14	93.97	67.58
Baseline	Global, Local	Local	86.37	95.10	68.68
Baseline + Identity Loss	Global, Local	Global	83.55	93.35	67.66
Baseline + Identity Loss	Global, Local	Local	84.23	93.62	63.99
Baseline + Identity Loss + Random Flip	Global, Local	Global	85.42	93.97	69.34
Baseline + Identity Loss + Random Flip	Global, Local	Local	86.82	94.89	67.59
Re-ranking	Global, Local	Global	87.47	92.96	82.90
Re-ranking + Identity Loss	Global, Local	Global	86.19	92.76	81.27
Re-ranking + Identity loss + Random Flip	Global, Local	Global	87.50	92.93	82.68

Person Re-identification

Related tags

Overview

Person Re-identification

Table of content

Students:

Proposed method

Dataset

Dataset preparation

Download raw dataset

Set dataset path

Train

Config

Run

Evaluation

Owner

Nguyễn Hoàng Quân

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