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training:
optimizer: 'SGD'
lr: 0.01
momentum: 0.9
weight_decay: 0.0001
lr_gamma: 0.1
lr_step: 200000
network:
input_type: 'raw-demosaic'
noise: true
noise_maxstep: 1
model: 'Quad_L2Net'
loss_type: 'HARD_CONTRASTIVE'
photaug: true
resize: 480
use_corr_n: 512
det:
corr_weight: true
safe_radius: 12
kpt_n: 512
score_thld: -1
edge_thld: 10
nms_size: 3
eof_size: 5 |