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Browse files- config/config.yaml +94 -0
config/config.yaml
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data:
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# TODO: Update this path for your HPC cluster, e.g.:
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# root: "/scratch/$USER/immunogold_data/Gold Particle Labelling"
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root: "/Users/mpcr/Downloads/Max Planck Data/Gold Particle Labelling"
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analyzed_dir: "analyzed synapses"
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test_dir: "labeled replica - Test Data from Synapses"
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synapse_ids: ["S1", "S4", "S7", "S8", "S13", "S15", "S22", "S25", "S27", "S29"]
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# S7 and S15 have no 6nm annotations — exclude from 6nm evaluation
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incomplete_6nm: ["S7", "S15"]
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raw_dir: "data/raw"
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annotation_dir: "data/annotations"
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weights_dir: "weights"
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patch_size: 512
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stride: 2
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bead_classes: ["6nm", "12nm"]
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heatmap:
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sigmas:
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6nm: 1.0
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12nm: 1.5
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model:
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backbone: "resnet50"
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pretrained_weights: "weights/cem500k_mocov2_resnet50.pth.tar"
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cem500k_url: "https://zenodo.org/records/6453140/files/cem500k_mocov2_resnet50_200ep.pth.tar?download=1"
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bifpn_channels: 128
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bifpn_rounds: 2
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num_classes: 2
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training:
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batch_size: 8
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n_seeds: 5
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n_snapshot_epochs: [150, 170, 190]
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hard_mining_fraction: 0.7
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copy_paste_per_class: 5
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phases:
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phase1:
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epochs: 60
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lr: 1.0e-3
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weight_decay: 1.0e-4
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freeze_encoder: true
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phase2:
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epochs: 60
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lr_layer3: 1.0e-5
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lr_layer4: 5.0e-5
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lr_decoder: 5.0e-4
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weight_decay: 1.0e-4
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phase3:
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epochs: 80
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lr_stem: 1.0e-6
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lr_layer1: 5.0e-6
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lr_layer2: 1.0e-5
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lr_layer3: 5.0e-5
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lr_layer4: 1.0e-4
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lr_decoder: 2.0e-4
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weight_decay: 1.0e-4
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eta_min: 1.0e-7
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loss:
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focal_alpha: 2
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focal_beta: 4
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lambda_offset: 1.0
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early_stopping:
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patience: 20
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monitor: "val_f1_mean"
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postprocessing:
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nms_kernel_size:
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6nm: 3
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12nm: 5
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confidence_threshold_sweep:
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start: 0.05
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stop: 0.95
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step: 0.01
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mask_filter_margin_px: 5
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cross_class_nms_distance_px: 8
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evaluation:
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match_radii_px:
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6nm: 9
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12nm: 15
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loocv_val_offset: 1
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tta:
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enabled: true
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n_geometric: 8 # D4 group: 4 rotations x 2 reflections
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intensity_factors: [0.9, 1.1]
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ensemble:
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n_seeds: 5
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snapshot_epochs: [150, 170, 190]
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# Total ensemble members per fold: 5 seeds x 3 snapshots = 15
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