baseline.yaml
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seed: 3407
dataset:
name: 'ReconData'
args:
data_root: '/data1/lxl/data/ocr/generate1108'
train_anno_file: '/data1/lxl/data/ocr/generate1108/train.csv'
val_anno_file: '/data1/lxl/data/ocr/generate1108/val.csv'
fixed_size: 512
dataloader:
batch_size: 8
num_workers: 16
pin_memory: true
collate_fn: 'base_collate_fn'
model:
name: 'Unet'
args:
encoder_name: 'resnet50'
encoder_weights: 'imagenet'
in_channels: 3
classes: 3
activation: 'tanh'
solver:
name: 'BaseSolver'
args:
epoch: 30
optimizer:
name: 'Adam'
args:
lr: !!float 1e-4
weight_decay: !!float 5e-5
lr_scheduler:
name: 'StepLR'
args:
step_size: 15
gamma: 0.1
loss:
name: 'L1Loss'
args:
reduction: 'mean'
logger:
log_root: '/data1/lxl/code/ocr/removal/log'
suffix: 'residual'
metric:
name: 'Recon'