updat

README.md

@@ -44,14 +44,19 @@ git clone https://huggingface.co/datasets/haopt/prox-e-shapetalk-benchmark
 Once downloaded, plug this benchmark directly into the Prox-E unified evaluation pipeline to compute metric scores (e.g., l-GD, LPIPS, DINO-I, FID, PFD, CLIP, and VQA):
 
 ```bash
-python -m evals.run_eval \
-  --pred_dir /path/to/your/pred_meshes/ \
-  --gt_dir haopt/prox-e-shapetalk-benchmark/input_shapes/ \
-  --instructions_json haopt/prox-e-shapetalk-benchmark/instructions.json \
-  --output_dir /path/to/eval_output_directory/
+python -m evals.main \
+  --pred_dir <flat folder of pred .glb/.obj/.ply> \
+  --input_dir prox-e-shapetalk-benchmark/input_shapes \
+  --instructions_json prox-e-shapetalk-benchmark/instructions.json \
+  --input_render_dir prox-e-shapetalk-benchmark/rendered_images \
+  --input_pcd_dir prox-e-shapetalk-benchmark/point_cloud \
+  --output_dir <eval_run_dir> \
+  --device cuda:0 \
+  --metrics identity quality fidelity \
+  --enable_vqa
 ```
 
-Refer to the official [Prox-E GitHub repository](https://github.com/etaisella/Prox-E) for setup and full usage options!
+Refer to the official [Prox-E repo](https://github.com/etaisella/Prox-E/tree/main/evals) for setup and full usage options!
 
 ## 📜 Citation
 If you use this benchmark dataset in your work, please cite the Prox-E paper: