mirrors
/
deep-person-reid
mirror of https://github.com/KaiyangZhou/deep-person-reid.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

update readme

pull/119/head
KaiyangZhou 2018-11-09 18:06:16 +00:00
parent 6d162f4578
commit f355b4d532
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
README.md
View File

@ -1,6 +1,6 @@
<div align="center"> <p align="center">
<img src="imgs/deep-person-reid-logo.png" alt="logo" width="70%"> <img src="imgs/deep-person-reid-logo.png" alt="logo" width="200">
</div> </p>
## Introduction ## Introduction
deep-person-reid is a [pytorch](http://pytorch.org/)-based framework for training deep person re-identification models. deep-person-reid is a [pytorch](http://pytorch.org/)-based framework for training deep person re-identification models.
@ -145,9 +145,9 @@ Note that `--load-weights` will discard layer weights that do not match the mode
#### Visualize ranked results #### 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). 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"> <p align="center">
<img src="imgs/ranked_results.jpg" alt="ranked_results" width="70%"> <img src="imgs/ranked_results.jpg" alt="ranked_results" width="300">
</div> </p>
## Misc ## Misc