diff --git a/README.md b/README.md index 3ae65e0..cbf1a2b 100755 --- a/README.md +++ b/README.md @@ -87,18 +87,26 @@ python train_vid_model_xent.py -d mars -a resnet50 --evaluate --resume saved-mod ``` **Note** that `--test-batch` in video reid represents number of tracklets. If you set this argument to 2, and sample 15 images per tracklet, the resulting number of images per batch is 2*15=30. Adjust this argument according to your GPU memory. -## Visualize ranked results + + +## Visualizing ranked results Ranked results can be visualized via `--vis-ranked-res`, 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`.
- train + train
+ +## Issue Before raising an issue, please have a look at the [history issues](https://github.com/KaiyangZhou/deep-person-reid/issues) where you may find answers. If those answers do not solve your problem, raise a new issue (choose an informative title) and include the following details in your question: (1) environmental settings, e.g. python version, torch/torchvision version, etc. (2) command that leads to the errors. (3) screenshot of error logs if available. If you find any errors in the code, please inform me by opening a new issue. + + ## Citation Please link this project in your paper. + + ## References [1] [He et al. Deep Residual Learning for Image Recognition. CVPR 2016.](https://arxiv.org/abs/1512.03385)
[2] [Yu et al. The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. arXiv:1711.08106.](https://arxiv.org/abs/1711.08106)