rpotter6298
708fbc70ce
- Introduced `bridge_attention_ceiling_check.py` for variance decomposition analysis on bridge attention configurations. - Added `bridge_attention_readout.py` to perform per-tower gate and contribution readouts, including AUC sanity checks. - Created multiple JSON configuration files for backbone replication experiments, including anonymous CV variants and basic backbones. - Implemented sensitivity experiments to evaluate the impact of axial length inclusion and EfficientNetV2-M performance at higher resolutions. - Added a memory probe script to assess GPU memory usage during training with EfficientNetV2-M.
40 lines
1.8 KiB
JSON
40 lines
1.8 KiB
JSON
[
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{
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"_note": "F2 block 2 — GT disc-contour crop. R50 refugelike, image-only, single-eye, patient-grouped 5-fold CV. Each input image is cropped to a square bbox centred on the GT disc contour with margin=2.5 (matching v3 phase 2 imageonly_resnet50_gtcrop_2.5). The crop happens in original image coords before the standard 256-resize + 224-center-crop transform pipeline runs. Eyes with no contour file fall back to the un-cropped full image.",
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"run_name": "experiments/backbone_replication/gtcrop_refugelike",
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"reps": 10,
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"tower_overrides": {
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"img": {
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"args": {
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"backbone": "refugelike",
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"freeze_ratio": 0.0,
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"crop_source": "gt",
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"crop_kwargs": { "margin": 2.5, "expert": 1 }
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}
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}
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}
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},
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{
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"_note": "F2 block 2 — U-Net disc-mask crop. R50 refugelike, image-only, single-eye, patient-grouped 5-fold CV. Each input image is cropped to a square bbox centred on the U-Net-predicted disc mask with margin=2.5 (matching v3 phase 2 imageonly_resnet50_unetcrop_2.5). U-Net is loaded from the base REFUGE checkpoint and NOT fine-tuned per fold (finetune_epochs=0) to keep this an apples-to-apples preprocessing-only ablation. Eyes where U-Net predicts no disc fall back to the un-cropped full image.",
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"run_name": "experiments/backbone_replication/unetcrop_refugelike",
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"reps": 10,
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"tower_overrides": {
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"img": {
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"args": {
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"backbone": "refugelike",
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"freeze_ratio": 0.0,
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"crop_source": "unet",
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"crop_kwargs": {
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"margin": 2.5,
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"weights_path": "models/v2/refuge/segmentation/per_image/best.pt",
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"unet_size": 512,
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"threshold": 0.5,
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"finetune_epochs": 0
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}
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}
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}
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}
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}
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]
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