Craft object detection - #173

Merged

fredericboisnard merged 48 commits into

deel-ai:masterfrom

fredericboisnard:craft_object_detection

Jul 27, 2026

Commits on Apr 1, 2026

ci : add torchvision & overcomplete dependencies
fredericboisnard
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3a05762

Commits on Jun 12, 2026

fix: support multi-channel in sensitivity attribution methods
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1a2a339
feat: add progress output during GSA mask computation
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e2261db
chore: reorganize object detection utilities into package structure
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3da7320
feat: add object detection box formatters and managers
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49572bc
feat: add box model wrappers for object detection
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442e893
viz: add plot_image_detections utility for object detection visualization
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42512a0
viz: add option to disable normalization of heatmaps
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7185259
feat: add latent extractor class
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4380594
feat: add requires_grad in TorchWrapper
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2b8ddb1
feat: make Factorization dataclass fields optional for object detection CRAFT
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94b911e
feat: add gradient checking utilities for object detection
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7ff7bca
feat: add holistic CRAFT for object detection
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0b43f21
feat: introduce StructuredPrediction protocol for HolisticCraft
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e7c8aa8
feat: add classifier formatters and ClassifierTensor for holistic CRAFT
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dbc54a9
refactor: replace ClassifierFormatter with ClassifierTensor.from_predictions

Agustin-Picard
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89593f5
ci: update tox.ini to take into account the new torch tests
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0313955
feat: add NMF factorizer to support other kinds of NMF
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d546207
feat: add support for Overcomplete factorizer
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aec9aa5
fix: NMF differentiable encoding in tf & torch factorizer

Agustin-Picard
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381e79f
feat: switch from PGD to restartable FISTA for faster convergence

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225d6de

Commits on Jul 27, 2026

doc: add documentation for Holistic CRAFT
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61e54da
tests: fix test_cole.py
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cc7307e
fix: replace deprecated matplotlib.cm.get_cmap() with matplotlib.colormaps[]
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c739752
chore(packaging): publish xplique[torch] extra and expand tox torch matrix

Agustin-Picard
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1c9a729
fix(attributions): forward kwargs and correct GSA channel handling

Agustin-Picard
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633d935
fix(classification): build validated one-hot targets in classifier tensors

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71fcf67
refactor(prediction): separate filter() from attribution target construction
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0f7f400
fix(gradients): independent VJP probes and safer TorchWrapper autograd

Agustin-Picard
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c718529
fix(object-detection): padded-detection contract in operator

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54b3aae
fix(object-detection): box managers, formatters, and multi-box tensors

Agustin-Picard
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277250e
fix(object-detection): wrappers and shared padded stacking helper

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1b37f69
fix(plots): 2D heatmap resize and OD heatmap extent

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2cd5906
fix(concepts): latent extractors (TF/Torch) Functional cuts, device sync, structured batching

Agustin-Picard
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4485952
fix(concepts): Holistic CRAFT token shapes, Factorization field order, invalid-shape errors

Agustin-Picard
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af31b7b
test: harden fixtures, determinism, and graph-mode assertions

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9cc69ff
fix(plots): reject empty inputs in plot_images_detections

Agustin-Picard
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b956caf
fix(object-detection): compare enum members and stop requiring format_predictions

Agustin-Picard
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d650c4b
fix(classification): deprecate len() and enforce rank on classifier tensors

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8305b29
fix(concepts): tighten HolisticCraft fitted check and estimator defaults

Agustin-Picard
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c1d4091
fix(plots): add protections in plot_image_detections().
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a8729ed
fix: add warning if not enough data for NMF
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d84836b
fix(docs): fix docstring in holistic craft to get the doc to build succesfully

Agustin-Picard
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521cb58
feat(object_detection): add support for batch_size > 1 in HolisticCraft for object detection models

Agustin-Picard
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b59c49b
fix: clone in-memory Lambda layers for relu overrides

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3b1a0c9
fix: bundle MACO spectrum for offline initialization

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69d4388
chore: use bump-my-version instead of bump2version
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4954f18
Bump version: 1.5.2 → 2.0.0
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86cd269