Push-T diffusion policy checkpoints
Two Push-T diffusion policy checkpoints with a minimal inference script.
Files
original.ckptโ original checkpointedited.ptโ edited checkpointstats_sfp.npzโ normalization stats (obs / action min/max)inference.pyโ inference script
Quick start
pip install torch diffusers pygame pymunk shapely scikit-image imageio gym numpy
git clone https://github.com/columbia-ai-robotics/streaming_flow_policy.git
python inference.py --ckpt original.ckpt --stats stats_sfp.npz \
--sfp-repo streaming_flow_policy/ --n-seeds 50
python inference.py --ckpt edited.pt --stats stats_sfp.npz \
--sfp-repo streaming_flow_policy/ --n-seeds 50 --save-mp4 rollout.mp4
Prints success rate and mode distribution; optional --save-mp4 renders the first successful rollout.
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