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- io:
- logdir: logs/
- datadir: I:/datasets/wirenet_1000
- resume_from:
- num_workers: 8
- tensorboard_port: 6000
- validation_interval: 300
- model:
- image:
- mean: [109.730, 103.832, 98.681]
- stddev: [22.275, 22.124, 23.229]
- batch_size: 4
- batch_size_eval: 2
- # backbone multi-task parameters
- head_size: [[2], [1], [2]]
- loss_weight:
- jmap: 8.0
- lmap: 0.5
- joff: 0.25
- lpos: 1
- lneg: 1
- boxes: 1.0
- # backbone parameters
- backbone: fasterrcnn_resnet50
- # backbone: unet
- depth: 4
- num_stacks: 1
- num_blocks: 1
- # sampler parameters
- ## static sampler
- n_stc_posl: 300
- n_stc_negl: 40
- ## dynamic sampler
- n_dyn_junc: 300
- n_dyn_posl: 300
- n_dyn_negl: 80
- n_dyn_othr: 600
- # LOIPool layer parameters
- n_pts0: 32
- n_pts1: 8
- # line verification network parameters
- dim_loi: 128
- dim_fc: 1024
- # maximum junction and line outputs
- n_out_junc: 250
- n_out_line: 2500
- # additional ablation study parameters
- use_cood: 0
- use_slop: 0
- use_conv: 0
- # junction threashold for evaluation (See #5)
- eval_junc_thres: 0.008
- optim:
- name: Adam
- lr: 4.0e-4
- amsgrad: True
- weight_decay: 1.0e-4
- max_epoch: 1000
- lr_decay_epoch: 10
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