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@ -18,7 +18,7 @@ pip install -r requirements.txt
## 2. Reproducing the Model
### 2.1 Download Training Data
Please download, unzip and place the [Data](https://drive.google.com/file/d/1uuQsWTBYMzHI0RcXgpFg6Ft-3lf6-fRD/view?usp=drive_link) as the directory `~/totalData`.
Please download, unzip and place the [Data](https://drive.google.com/file/d/1uuQsWTBYMzHI0RcXgpFg6Ft-3lf6-fRD/view?usp=drive_link) as the directory `~/totalData`. The completed dataset is suggested for reproducing the model as we found rich data makes performances better.
### 2.2 Training
You can easily retrain the model by running `PathNet/train_ours.py`: