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comet:
display_size: 25
im_per_row:
d: 3
m: 4
p: 4
s: 3
rows_per_log: 5
tags: []
data:
check_samples: false
files:
base: /network/tmp1/ccai/data/omnigan/twitter/
train:
r: /network/tmp1/ccai/data/omnigan/twitter/train_r.json
rf: /network/tmp1/ccai/data/omnigan/twitter/train_rf.json
s: /network/tmp1/ccai/data/omnigan/twitter/train_s.json
val:
r: /network/tmp1/ccai/data/omnigan/twitter/val_r.json
rf: /network/tmp1/ccai/data/omnigan/twitter/val_rf_labelbox.json
s: /network/tmp1/ccai/data/omnigan/twitter/val_s.json
loaders:
batch_size: 6
num_workers: 6
shuffle: false
max_samples: -1
normalization: default
transforms:
- ignore: false
name: hflip
p: 0.5
- ignore: false
keep_aspect_ratio: true
name: resize
new_size: 640
- height: 600
ignore: false
name: crop
width: 600
- ignore: false
name: resize
new_size: 640
dis:
default:
get_intermediate_features: false
init_gain: 0.2
init_type: kaiming
input_nc: 3
n_layers: 4
ndf: 64
norm: instance
num_D: 1
use_sigmoid: false
flip_prob: 0.05
m:
architecture: base
gan_type: WGAN_norm
get_intermediate_features: false
init_gain: 0.2
init_type: kaiming
input_nc: 3
multi_level: false
n_layers: 4
ndf: 64
norm: instance
num_D: 1
use_sigmoid: false
wgan_clamp_lower: -0.01
wgan_clamp_upper: 0.01
opt:
beta1: 0.5
lr:
default: 0.001
lr_gamma: 0.5
lr_milestones: 15
lr_policy: step
lr_step_size: 30
optimizer: ExtraAdam
p:
get_intermediate_features: true
init_gain: 0.2
init_type: kaiming
input_nc: 3
n_layers: 4
ndf: 64
norm: batch
num_D: 3
use_local_discriminator: false
use_sigmoid: false
s:
gan_type: WGAN_norm
get_intermediate_features: false
init_gain: 0.2
init_type: kaiming
input_nc: 3
n_layers: 4
ndf: 64
norm: instance
num_D: 1
use_sigmoid: false
wgan_clamp_lower: -0.01
wgan_clamp_upper: 0.01
soft_shift: 0.2
domains:
- rf
gen:
d:
activ: lrelu
conv_norm: batch
init_gain: 0.01
init_type: normal
n_downsample: 3
n_res: 1
n_upsample: 3
output_dim: 1
pad_type: reflect
proj_dim: 32
res_dim: 2048
res_norm: batch
deeplabv2:
nblocks:
- 3
- 4
- 23
- 3
pretrained_model: /network/tmp1/ccai/data/omnigan/pretrained_models/DeepLab_resnet_pretrained_imagenet.pth
use_pretrained: true
default:
activ: lrelu
conv_norm: spectral
init_gain: 0.2
init_type: xavier
n_downsample: 3
n_res: 1
n_upsample: 3
pad_type: reflect
proj_dim: 32
res_dim: 2048
res_norm: spectral
encoder:
activ: lrelu
architecture: deeplabv2
conv_norm: spectral
dim: 32
init_gain: 0.2
init_type: xavier
input_dim: 3
n_downsample: 3
n_res: 0
n_upsample: 3
norm: spectral
pad_type: reflect
proj_dim: 32
res_dim: 2048
res_norm: spectral
m:
activ: lrelu
conv_norm: spectral
init_gain: 0.2
init_type: xavier
loss: gan
n_downsample: 3
n_res: 1
n_upsample: 3
output_dim: 1
pad_type: reflect
proj_dim: 32
res_dim: 2048
res_norm: spectral
use_advent: true
use_ground_intersection: true
use_minent: true
use_minent_var: true
opt:
beta1: 0.5
lr:
default: 0.0005
lr_gamma: 0.5
lr_milestones: 15
lr_policy: step
lr_step_size: 30
optimizer: ExtraAdam
p:
activ: relu
conv_norm: spectral
init_gain: 0.2
init_type: kaiming
latent_dim: 640
loss: gan
n_downsample: 3
n_interm_res: 11
n_res: 1
n_upsample: 3
no_z: true
output_dim: 3
pad_type: reflect
paste_original_content: true
proj_dim: 32
res_dim: 2048
res_norm: spectral
spade_kernel_size: 3
spade_n_up: 7
spade_param_free_norm: instance
spade_use_spectral_norm: true
use_final_shortcut: false
s:
activ: lrelu
conv_norm: spectral
init_gain: 0.2
init_type: xavier
n_downsample: 3
n_res: 1
n_upsample: 3
num_classes: 11
output_dim: 11
pad_type: reflect
proj_dim: 32
res_dim: 2048
res_norm: spectral
upsample_featuremaps: false
use_advent: true
use_minent: true
use_pseudo_labels: false
load_paths:
m: none
p: none
output_path: /miniscratch/schmidtv/vicc/omnigan/runs/painter/default (2)
tasks:
- p
train:
auto_resume: true
epochs: 10000
fid:
batch_size: 50
dims: 2048
n_images: 57
lambdas:
C: 1
G:
classifier: 1
d:
gml: 0.5
main: 1
m:
bce: 1
gi: 0.05
tv: 1
p:
context: 0
dm: 1
featmatch: 10
gan: 1
reconstruction: 0
tv: 0
vgg: 10
s:
advent: 0.001
crossent: 1
crossent_pseudo: 0.001
minent: 0.001
advent:
WGAN_gp: 10
adv_aux: 0.0
adv_main: 1.0
dis_aux: 0.0
dis_main: 1.0
ent_aux: 0.0
ent_main: 0.5
ent_var: 0.1
latent_domain_adaptation: false
log_level: 2
resume: false
save_n_epochs: 1
val:
store_images: false
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