Refactor: LensDataset and WrapperDataset for Cleaner Data Handling#151
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Apprentice2907 wants to merge 6 commits intoML4SCI:mainfrom
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Refactor: LensDataset and WrapperDataset for Cleaner Data Handling#151Apprentice2907 wants to merge 6 commits intoML4SCI:mainfrom
Apprentice2907 wants to merge 6 commits intoML4SCI:mainfrom
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…rs Classification DeepLense)
…ssing with Multiple Paths
nikhilchhokar
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Mar 3, 2026
Adds rsp_pipeline/ as a complementary approach to the existing Butler-based RIPPLe pipeline. Targets the public Rubin Science Platform web endpoints — no local LSST stack required. Components: - RubinTAPClient: ADQL cone-search on DP0.2/DP1 catalog via pyvo TAP - RubinSIAClient: SIA v2 cutout retrieval per band (g/r/i) - Normaliser: asinh/minmax/zscore (asinh default for lens arc preservation) - CutoutExtractor: resize + multi-band stacking to (C, 64, 64) float32 - RubinLensDataset: drop-in PyTorch Dataset compatible with LensDataset (ML4SCI#151) - build_deeplense_transforms: rotation-aware torchvision augmentation pipeline - YAML config, I/O helpers, 21 offline unit tests, end-to-end notebook Complements RIPPLe (Butler/USDF) by covering the TAP+SIA access path for researchers using data.lsst.cloud without a local stack.
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Closes #123
What was changed
if label == 0: image = image[0]with configurable npy_index_mapsimsiam.py, utils/inference.py, self_supervised/examples/byol/load_pretrained_byol.py
Testing