1.4.0

1.4.0

Added

• full-image/ROI sliding-window segmentation inference for images larger than a training tile, with reflect padding, Hann-blended softmax stitching, spacing-aware resampling, and fold ensembling. (#75)
• dense point-detection support for cell/nucleus centroid detection: dataset_type: detection, DetectionManifest, DetectionHead, point CSV supervision, Gaussian peak heatmaps, NMS peak extraction, per-class threshold tuning, and class-aware F1@δ metrics. (#76)
• detection docs plus dense and slide-level walkthrough notebooks. (#77)

Changed

• reworked multi-encoder dense composites from top-level encoders: to composite:, with explicit concat resolution/grid controls and per-member
  normalization/window settings.
• bumped slide2vec[fm] to >=4.6.4. (#79)

Fixed

• fixed dense composite grid composition so decoder/detection paths concatenate at token-grid resolution correctly. (#78)