Inference E.T. Chat on Charades-STA
January 17, 2025 ยท View on GitHub
The performance of E.T. Chat on full Charades-STA test set is as follows.
| Model | R1@0.3 | R1@0.5 | R1@0.7 | mIoU |
|---|---|---|---|---|
| E.T. Chat | 65.7 | 45.9 | 20.0 | 42.3 |
๐ฆ Data Preparation
Download Charades-STA dataset and organize it as follows.
ETBench
โโ data
โโ charades
โโ videos
โ โโ 0A8CF.mp4
โ โโ 0A8ZT.mp4
โ โโ ...
โโ charades_sta_train.txt
โโ charades_sta_test.txt
๐ Run Inference
Run the following command to inference E.T. Chat on Charades-STA dataset.
python etchat/eval/infer_charades.py \
--anno_path data/charades/charades_sta_test.txt \
--data_path data/charades/videos \
--pred_path charades_sta \
--model_path <path-to-model>
The model outputs would be saved in the charades_sta folder.
๐ฎ Compute Metrics
Run the following command to compute metrics.
python etchat/eval/eval_grounding.py charades_sta