camenduru's picture
thanks to advimman ❤
3295322
location:
data_root_dir: /group-volume/User-Driven-Content-Generation/datasets/inpainting_data_root_final
out_root_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/experiments
tb_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/tb_logs
data:
batch_size: 10
val_batch_size: 2
num_workers: 3
train:
indir: ${location.data_root_dir}/train
out_size: 256
mask_gen_kwargs:
irregular_proba: 1
irregular_kwargs:
max_angle: 4
max_len: 200
max_width: 100
max_times: 5
min_times: 1
box_proba: 1
box_kwargs:
margin: 10
bbox_min_size: 30
bbox_max_size: 150
max_times: 4
min_times: 1
segm_proba: 0
transform_variant: distortions
dataloader_kwargs:
batch_size: ${data.batch_size}
shuffle: true
num_workers: ${data.num_workers}
val:
indir: ${location.data_root_dir}/val
img_suffix: .png
dataloader_kwargs:
batch_size: ${data.val_batch_size}
shuffle: false
num_workers: ${data.num_workers}
visual_test:
indir: ${location.data_root_dir}/korean_test
img_suffix: _input.png
pad_out_to_modulo: 32
dataloader_kwargs:
batch_size: 1
shuffle: false
num_workers: ${data.num_workers}
generator:
kind: pix2pixhd_multidilated
input_nc: 4
output_nc: 3
ngf: 64
n_downsampling: 3
n_blocks: 9
conv_kind: default
add_out_act: sigmoid
multidilation_kwargs:
comb_mode: cat_in
dilation_num: 4
discriminator:
kind: pix2pixhd_nlayer
input_nc: 3
ndf: 64
n_layers: 4
visualizer:
kind: directory
outdir: /group-volume/User-Driven-Content-Generation/e.logacheva/inpainting/experiments/e.logacheva_2021-09-23_11-53-00_train_ablv2_work_md_new/samples
key_order:
- image
- predicted_image
- discr_output_fake
- discr_output_real
- inpainted
rescale_keys:
- discr_output_fake
- discr_output_real
evaluator:
kind: default
inpainted_key: inpainted
integral_kind: ssim_fid100_f1
trainer:
kwargs:
gpus: -1
accelerator: ddp
max_epochs: 40
gradient_clip_val: 1
log_gpu_memory: None
limit_train_batches: 25000
val_check_interval: ${trainer.kwargs.limit_train_batches}
log_every_n_steps: 250
precision: 32
terminate_on_nan: false
check_val_every_n_epoch: 1
num_sanity_val_steps: 8
replace_sampler_ddp: false
benchmark: true
checkpoint_kwargs:
verbose: true
save_top_k: 5
save_last: true
period: 1
monitor: val_ssim_fid100_f1_total_mean
mode: max
run_title: new
training_model:
kind: default
visualize_each_iters: 1000
concat_mask: true
store_discr_outputs_for_vis: true
losses:
l1:
weight_missing: 0
weight_known: 10
perceptual:
weight: 0
adversarial:
kind: r1
weight: 10
gp_coef: 0.001
mask_as_fake_target: true
allow_scale_mask: true
feature_matching:
weight: 100
segm_pl:
weight: 30
weights_path: ${env:TORCH_HOME}
optimizers:
generator:
kind: adam
lr: 0.001
discriminator:
kind: adam
lr: 0.0001