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Official Repository for “CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models" [CVPR2025]

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CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models

Quick Start

Installation

All the images for CoSpace can be downloaded from Hugging Face. After successfully downloading the images, please keep the directory as follows:

src/
├── data/
│   ├── anno/
│   │   ├── direction.jsonl
│   │   ├── object.jsonl
│   │   └── ...
│   │
│   └── images/
│       ├── panorama_images/
│       ├── habitat_scenes/
│       ├── frames_30/
│       └── frames_45/
│
├── pipeline/
│   ├── scripts/
│   │   ├── pred_gpt.py
│   │   ├── pred_claude.py
│   │   └── ...
│   │
│   ├── pred.sh
│   ├── pred_and_eval.sh
│   ├── load_data.py
│   ├── prompt.py
│   ├── eval.py
│   └── utils.py
│
└── pipeline-single/
    └── ...

Evaluation

To evaluate on our CoSpace, you can directly run the provided scripts:

# Prediction
bash pred.sh

# Prediction and evaluation
bash pred_and_eval.sh

# Also, you can directly evaluate the prediction file
python eval.py --data_file path_to_the_prediction_file --save_dir result_save_directory

To evaluate a new model, please add your pred_{your_model}.py, and modify the eval.py to fit the output format.

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Official Repository for “CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models" [CVPR2025]

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