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@ -29,7 +29,7 @@ python PathNet/train_ours.py
``` ```
### 2.3 Visualizing the Results ### 2.3 Visualizing the Results
Once the model converges, you can visualize it. A pretrained model is provided [here](https://drive.google.com/file/d/13o9flu4yo451FzMRhiEFF8PYq2dcNoDo/view?usp=sharing): Once the model converges, you can visualize it:
```bash ```bash
cd ~/DPtraj/deepPathPlan cd ~/DPtraj/deepPathPlan
@ -42,7 +42,7 @@ python PathNet/visualizer_tojit.py
To check similar results in table Table.S1 and Fig.S2 of Supplementary Materials, we provide:<br> To check similar results in table Table.S1 and Fig.S2 of Supplementary Materials, we provide:<br>
1. Detailed eval log [`model.pkl.txt`](deepPathPlan/models/model.pkl.txt). 1. Detailed eval log [`model.pkl.txt`](deepPathPlan/models/model.pkl.txt).
2. Detailed training log [`model.pklStep.txt`](deepPathPlan/models/model.pklStep.txt). 2. Detailed training log [`model.pklStep.txt`](deepPathPlan/models/model.pklStep.txt).
3. Reproduced model [`model.pkl`](deepPathPlan/models/model.pkl). 3. Reproduced model [`model.pkl`](https://drive.google.com/file/d/13o9flu4yo451FzMRhiEFF8PYq2dcNoDo/view?usp=sharing).
> **Note:** > **Note:**
> Please note that slight differences in the results compared to the paper are normal, due to variations in training configuration and package versions.<br> > Please note that slight differences in the results compared to the paper are normal, due to variations in training configuration and package versions.<br>