demo.mp4
We are actively organizing and cleaning up the full codebase (training, inference, evaluation).
The repository will be continuously updated in the coming weeks — please stay tuned for:
- 🛠️ Full training scripts
- 📦 Data preparation tools
- 📈 Evaluation pipelines
- 🔖 Additional pre-trained models for different datasets
You can find the released pre-trained checkpoints here:
👉 Flow-Anything Checkpoints
conda create --name SEA-RAFT python=3.10.13
conda activate SEA-RAFT
pip install -r requirements.txt
python infer.py \
--input [path to images] \
--out [path to save] \
--cfg config/eval/sintel-M.json \
--model [path to ckpt]
-
Data generation and pre-training code
(including dataset preprocessing, augmentation, and full training pipeline) -
Inference and evaluation code on Point Tracking tasks
(standardized pipelines for Point Tracking benchmarks and visualization) -
Clean inference-optimized code
(lightweight, modular implementation specifically designed for fast deployment & real-time inference)
Thank you for your interest and support! ⭐️
Feel free to open an issue if you have any questions or suggestions.