Update README.md

geometric_fusion/README.md

 # Geometric Fusion
-![geometric_fusion](assets/model.png)
+
+<p align="center"> <img src="assets/model.png"> </p>
+
+Geometric Fusion consists of multi-scale image-to-LiDAR and LiDAR-to-image feature projections (inspired by [ContFuse](https://openaccess.thecvf.com/content_ECCV_2018/papers/Ming_Liang_Deep_Continuous_Fusion_ECCV_2018_paper.pdf)). This is equivalent to replacing the transformers in TransFuser with geometry-based feature projections.
+
+## Training
+```Shell
+CUDA_VISIBLE_DEVICES=<gpu_id> python3 train.py --id geometric_fusion --batch_size 56
+```
+
+## Evaluation
+Update ```leaderboard/scripts/run_evaluation.sh``` to include the following.
+```
+export ROUTES=leaderboard/data/evaluation_routes/routes_town05_long.xml
+export TEAM_AGENT=leaderboard/team_code/geometric_fusion_agent.py
+export TEAM_CONFIG=model_ckpt/geometric_fusion
+export CHECKPOINT_ENDPOINT=results/geometric_fusion_result.json
+export SCENARIOS=leaderboard/data/scenarios/town05_all_scenarios.json
+```