add instructions for sensereid
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DATASETS.md
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DATASETS.md
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@ -10,6 +10,8 @@ If you wanna store datasets in another directory, you need to specify `--root pa
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Please do not call image dataset when running video reid scripts, otherwise error would occur, and vice versa.
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### Image ReID
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**Market1501** [7]:
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1. Download dataset to `data/` from http://www.liangzheng.org/Project/project_reid.html.
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2. Extract dataset and rename to `market1501`. The data structure would look like:
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@ -93,6 +95,20 @@ prid450s/
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```
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**SenseReID** [32]:
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1. Create `sensereid/` under `data/` or your custom data dir.
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2. Download dataset from this [link](https://drive.google.com/file/d/0B56OfSrVI8hubVJLTzkwV2VaOWM/view) and extract to `sensereid/`. The final folder structure should look like
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```
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sensereid/
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SenseReID/
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test_probe/
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test_gallery/
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```
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3. The command for using SenseReID is `-d sensereid`. Note that SenseReID is for test purpose only so training images are unavailable. Please use `--evaluate` along with `-d sensereid`.
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### Video ReID
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**MARS** [8]:
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1. Create a directory named `mars/` under `data/`.
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2. Download dataset to `data/mars/` from http://www.liangzheng.com.cn/Project/project_mars.html.
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@ -27,6 +27,7 @@ Image reid datasets:
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- GRID [29]
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- CUHK01 [30]
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- PRID450S [31]
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- SenseReID [32]
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Video reid datasets:
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- MARS [8]
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@ -141,4 +142,5 @@ Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017.](https:
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[28] [Gray et al. Evaluating appearance models for recognition, reacquisition, and tracking. PETS 2007.](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.331.7285&rep=rep1&type=pdf) <br />
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[29] [Loy et al. Multi-camera activity correlation analysis. CVPR 2009.](https://ieeexplore.ieee.org/document/5206827/) <br />
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[30] [Li et al. Human Reidentification with Transferred Metric Learning. ACCV 2012.](http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf) <br />
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[31] [Roth et al. Mahalanobis Distance Learning for Person Re-Identification. PR 2014.](https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf) <br />
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[31] [Roth et al. Mahalanobis Distance Learning for Person Re-Identification. PR 2014.](https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf) <br />
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[32] [Zhao et al. Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. CVPR 2017.](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf) <br />
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