spatial-temporal-mem-models

Spatial-Temporal Memory System - Model Weights

This repository contains pre-trained model weights for the Spatial-Temporal Memory System.

Directory Structure

weights/
├── Depth-Anything-V2/      # Depth-Anything-V2 checkpoints
├── DUSt3R/                 # DUSt3R pose / reconstruction checkpoints
├── Fast-ReID/              # Re-identification checkpoints
├── GroundingDINO/          # Open-vocabulary detection checkpoints
├── Metric3D/               # Metric depth checkpoints
├── Qwen3-Embedding-8B/     # Large text embedding model
├── RAFT/                   # Optical flow checkpoints
├── SAM2/                   # SAM2 segmentation checkpoints
├── checkpoints/            # ViPE / auxiliary checkpoints
├── dinov2/                 # DINOv2 local weights
├── droid_slam/             # DROID-SLAM related weights
├── geocalib/               # Geo calibration weights
├── sam3/                   # SAM3 local bundle
├── osnet_x0_25_msmt17.pt   # Lightweight ReID checkpoint
└── yolov8n.pt              # Lightweight YOLO checkpoint

Usage

Download weights using the provided script:

bash scripts/download_weights_from_hf.sh

Or manually with huggingface-cli:

huggingface-cli download sealical/spatial-temporal-mem-models --local-dir weights/

Notes

• This mirror follows the project's current weights/ layout.
• Some folders contain very large checkpoints and model bundles intended for local sync rather than GitHub storage.
• If you only need a smaller public subset, use bash scripts/download_weights.sh.

License

Model weights are subject to their original licenses. Please check individual model repositories for details.