| # VESPER evaluation code |
|
|
| Minimal code to evaluate a vision-language model on VESPER. It queries the model |
| through an OpenAI-compatible chat-completions API, labels each answer as stop or |
| continue with an LLM judge, and reports the paper's metrics. |
|
|
| ## Setup |
|
|
| ```bash |
| cd code |
| pip install -r requirements.txt |
| export VLM_API_BASE="https://your-provider.example" # /v1/chat/completions is appended |
| export VLM_API_KEY="<your-api-key>" |
| ``` |
|
|
| If your endpoint's path does not end in `/v1/chat/completions`, pass the full URL |
| with `--api-url`. Model names are passed through unchanged, so use the names your |
| provider expects. |
|
|
| ## Usage |
|
|
| Run the commands from this `code/` directory. The annotations and clips are in the |
| parent directory. |
|
|
| ```bash |
| # 1. Query the model under the four prompt conditions. |
| python -m evaluation.run_inference \ |
| --scenarios ../benchmark.json \ |
| --model gemini-2.5-pro \ |
| --output-dir ./eval_results |
| |
| # 2. Label each answer with the LLM judge. The paper used GPT-5.2. |
| python -m evaluation.run_judge \ |
| --output-dir ./eval_results \ |
| --judge-model gpt-5.2 |
| |
| # 3. Report dangerous (D) and safe (S) accuracy and Geo = sqrt(D * S). |
| python -m evaluation.summarize_results \ |
| --output-dir ./eval_results |
| ``` |
|
|
| ## Settings used in the paper |
|
|
| | Models | Visual input | |
| |---|---| |
| | Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash | the whole clip as one video (`--input-mode gemini_video`, chosen automatically) | |
| | GPT-5.1 | 32 frames (`--input-mode openai_frames --max-frames 32`) | |
| | Claude Sonnet 4.6 | 16 frames (`--input-mode openai_frames --max-frames 16`) | |
| | Kimi K2.5 | 10 frames (`--input-mode openai_frames --max-frames 10`) | |
|
|
| - `--input-mode auto`, the default, sends frames to models whose name contains |
| `gpt-` or `/gpt`, and the whole clip to every other model. The whole clip goes |
| as a base64 `data:video/mp4` URL in an `image_url` part; if your endpoint does |
| not accept video that way, use `--input-mode openai_frames`. |
| - Frames are spread evenly from the first to the last frame of the clip. |
| - Model requests carry only the model name and the messages. Each judge request |
| sends `temperature: 0` and `max_tokens: 64`. |
|
|
| ## License |
|
|
| The code is released under the |
| [NVIDIA OneWay Noncommercial License](https://developer.download.nvidia.com/licenses/NVIDIA-OneWay-Noncommercial-License-22Mar2022.pdf); |
| see [LICENSE](LICENSE). It may be used non-commercially, meaning for research or |
| evaluation purposes only. The dataset in the parent directory is covered by the |
| NVIDIA Evaluation Dataset License Agreement. |
|
|
