| library_name: pytorch | |
| datasets: | |
| - NAIL-HNU/eAP-dataset | |
| - NAIL-HNU/GarlTTC-dataset | |
| tags: | |
| - ttc | |
| - time-to-collision | |
| - event-camera | |
| - rgb-event | |
| - multimodal | |
| - autonomous-driving | |
| - pytorch | |
| # GarlTTC Model | |
| This repository stages checkpoints for the GarlTTC release. | |
| Dataset dependencies: | |
| - `NAIL-HNU/eAP-dataset` | |
| - `NAIL-HNU/GarlTTC-dataset` | |
| Primary checkpoint: | |
| - `paper_ours_full.pth` | |
| Branch pretraining checkpoints: | |
| - `paper_visual_only_lhr.pth` | |
| - `paper_event_only_lhr.pth` | |
| Reference metrics are stored in `metrics/paper_test12.json`. If a local release | |
| verification run is available, its raw output can be staged as `metrics/test.json`. | |
| Ablation checkpoints are included under `ablation/` for paper table reproduction. | |
| Use the matching YAML files under `configs/ablation/`. | |