| # STRANGE-Bench generation code: two environments, with the versions used for this release; the CPU stages | |
| # (0, 4, 6) and the tests run in either. | |
| # | |
| # (a) generation environment: stages 1 and 2, SAM 3 audit of stage 5. | |
| # Python 3.12, torch 2.11 (CUDA 13.0), diffusers 0.32.0, transformers 4.46.3, accelerate 1.13.0, numpy 2.4.4 | |
| torch>=2.4 | |
| diffusers>=0.32 | |
| transformers>=4.46 | |
| accelerate>=1.0 | |
| safetensors>=0.5 | |
| numpy>=2.0 | |
| scipy>=1.10 | |
| Pillow>=10 | |
| opencv-python>=4.8 | |
| pycocotools>=2.0.7 | |
| tqdm>=4.65 | |
| # SAM 3 (package version 0.1.0), installed from its repository: | |
| # pip install git+https://github.com/facebookresearch/sam3.git | |
| # | |
| # (b) MMDetection environment: stage 3 (Grounding DINO lean audit) and the OWLv2 audit of stage 5. | |
| # Python 3.8, torch 2.4.1 (CUDA 12.1), transformers 4.46.3, and | |
| # mmengine==0.10.7 mmcv==2.1.0 mmdet==3.3.0 (mim install mmengine "mmcv==2.1.0" "mmdet==3.3.0") | |
| # | |
| # Tests (CPU): pytest | |