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KaiyangZhou 2018-11-09 18:06:16 +00:00
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<div align="center">
<img src="imgs/deep-person-reid-logo.png" alt="logo" width="70%">
</div>
<p align="center">
<img src="imgs/deep-person-reid-logo.png" alt="logo" width="200">
</p>
## Introduction
deep-person-reid is a [pytorch](http://pytorch.org/)-based framework for training deep person re-identification models.
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#### Visualize ranked results
Ranked results can be visualized via `--visualize-ranks`, which works along with `--evaluate`. Ranked images will be saved in `save_dir/ranked_results` where `save_dir` is the directory you specify with `--save-dir`. This function is implemented in [torchreid/utils/reidtools.py](torchreid/utils/reidtools.py).
<div align="center">
<img src="imgs/ranked_results.jpg" alt="ranked_results" width="70%">
</div>
<p align="center">
<img src="imgs/ranked_results.jpg" alt="ranked_results" width="300">
</p>
## Misc