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Junhao Liang bb6cd5149a 1.0.0 official release (#18 )

* fix bug in fix_BN

* gaitgl OUMVLP support.

* update ./doc/3.advance_usage.md Cross-Dataset Evalution & Data Agumentation

* update config

* update docs.3

* update docs.3

* add loss doc and gather input decorator

* refine the create model doc

* support rearrange directory of unzipped OUMVLP

* fix some bugs in loss_aggregator.py

* refine docs and little fix

* add oumvlp pretreatment description

* pretreatment dataset fix oumvlp description

* add gaitgl oumvlp result

* assert gaitgl input size

* add pipeline

* update the readme.

* update pipeline and readme

* Corrigendum.

* add logo and remove path

* update new logo

* Update README.md

* modify logo size

Co-authored-by: 12131100 <12131100@mail.sustech.edu.cn>
Co-authored-by: noahshen98 <77523610+noahshen98@users.noreply.github.com>
Co-authored-by: Noah <595311942@qq.com>

2021-12-08 20:05:28 +08:00

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Prepare dataset

Suppose you have downloaded the original dataset, we need to preprocess the data and save it as pickle file. Remember to set your path to the root of processed dataset in config/*.yaml.

Preprocess

CASIA-B

Download URL: http://www.cbsr.ia.ac.cn/GaitDatasetB-silh.zip

Original

CASIA-B
    001 (subject)
        bg-01 (type)
            000 (view)
                001-bg-01-000-001.png (frame)
                001-bg-01-000-002.png (frame)
                ......
            ......
        ......
    ......

Run python misc/pretreatment.py --input_path CASIA-B --output_path CASIA-B-pkl

Processed

CASIA-B-pkl
    001 (subject)
        bg-01 (type)
                000 (view)
                    000.pkl (contains all frames)
            ......
        ......
    ......

OUMVLP

Step1: Download URL: http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html

Step2: Unzip the dataset, you will get a structure directory like:

Original

OUMVLP-raw
    Silhouette_000-00 (view-sequence)
        00001 (subject)
            0001.png (frame)
            0002.png (frame)
            ......
        00002
            0001.png (frame)
            0002.png (frame)
            ......
        ......
    Silhouette_000-01
        00001
            0001.png (frame)
            0002.png (frame)
            ......
        00002
            0001.png (frame)
            0002.png (frame)
            ......
        ......
    Silhouette_015-00
        ......
    Silhouette_015-01
        ......
    ......

Step3 : To rearrange directory of OUMVLP dataset, turning to id-type-view structure, Run

python misc/rearrange_OUMVLP.py --input_path OUMVLP-raw --output_path OUMVLP-rearrange

Step4: Transforming images to pickle file, run

python misc/pretreatment.py --input_path OUMVLP-rearrange --output_path OUMVLP-pkl

Processed

OUMVLP-pkl
    00001 (subject)
        00 (sequence)
            000 (view)
                000.pkl (contains all frames)
            015 (view)
                015.pkl (contains all frames)
            ...
        01 (sequence)
            000 (view)
                000.pkl (contains all frames)
            015 (view)
                015.pkl (contains all frames)
            ......
    00002 (subject)
        ......
    ......

Split dataset

You can use the partition file in misc/partitions directly, or you can create yours. Remember to set your path to the partition file in config/*.yaml.

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Prepare dataset

Preprocess

Split dataset

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