Merge DeltaFlow into codebase #21
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* conf(optimization-based): update all config files. * todo: update model file, double check with yancong and Qingwen confirm that: icp-flow results can be reproduced and tested.
* hotfix(ssf): bug fixes in seflow+ssf as ssf concat two pc and forget to - index.
* add data with lidar_id and lidar_dt * add flow_instances for afterward easy deltaflow update.
* tested with demo good, need double check the results on av2 and update the training time & weight link also.
* it could be a good reference for users to extract other data into h5 files etc.
- update from DeltaFlow. - align some format with copilot comments. * update other submodule repo to align the lr changed.
… trainining setup.
* add some notes
…ed rm ground mask also.
align with paper.
* checked with trained weight.
update README to show the progress.
to avoid killed during eval.
* update av2_mode to data_mode. * revert back for zod process file * runner metric is good in last version as it's range_bucket have different meaning.
Kin-Zhang
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Sep 28, 2025
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this should be have a note to readers as previously it's 100x100 evaluation = 50m evaluation range
* we only evaluated points on non-ground point. * no need print ssf_metrics since our train range is out of evaluation.
Kin-Zhang
commented
Sep 29, 2025
Kin-Zhang
commented
Sep 29, 2025
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some things need added into tools:
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* for easy sharing score afterward etc. * update docs about upcoming works also.
* add readh5 and create_eval_pkl
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DeltaFlow got accepted by NeurIPS 2025 and it's spotlighted! 🎉🎉🎉 Now I'm working on releasing the code.
Please check the progress in the DeltaFlow repo now: https://github.com/Kin-Zhang/DeltaFlow
Once it's ready, I will merge it into the codebase with the full README.