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Add configs/tisage_dfutissue.yaml

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  1. configs/tisage_dfutissue.yaml +35 -0
configs/tisage_dfutissue.yaml ADDED
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+ dataset: dfutissue
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+ data_root: data/DFUTissue
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+ nclass: 4
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+ crop_size: 98
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+ epochs: 100
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+ batch_size: 2
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+ lr: 5.0e-06
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+ lr_multi: 20.0
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+ criterion:
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+ name: CELoss
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+ kwargs:
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+ ignore_index: 255
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+ conf_thresh: 0.95
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+ model: dpt
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+ backbone: dinov2_base
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+ lock_backbone: true
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+
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+ # MedSigLIP pseudo-label calibration (enable with --medsiglip flag)
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+ medsiglip_alpha: 0.2
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+ medsiglip_n_segments: 64 # SLIC target superpixel count
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+ medsiglip_context_margin: 2 # pixels to expand superpixel crop bbox
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+ medsiglip_recompute_every: 5
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+ medsiglip_gate_conf: 0.9
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+ medsiglip_classifier_path: method/checkpoints/pretrained/medsiglip_head_dfutissue.pt
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+ medsiglip_embed_batch_size: 32 # MedSigLIP image-embedding batch size (classifier prior mode)
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+ medsiglip_soft_beta: 0.5 # blend weight for soft KL distillation (if --medsiglip-soft-label)
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+ medsiglip_use_multiscale: true
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+ medsiglip_coarse_n_segments: 32
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+ medsiglip_coarse_min_size: 80
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+ medsiglip_fine_n_segments: 128
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+ medsiglip_fine_min_size: 40
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+ medsiglip_prior_beta: 0.5 # fine-weight in multiscale prior logit fusion
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+ medsiglip_adaptive_alpha: true
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+ medsiglip_conf_weighted_kl: true
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+ medsiglip_use_hard_conf_mask_for_kl: false # optional conf-thresh mask on top of weighted KL