Create hparams.yaml
Browse files
logs/blindsrsnf_aniso_naip_degraded_harm_large/version_1/hparams.yaml
ADDED
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| 1 |
+
data_module: !!python/object/new:easydict.EasyDict
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| 2 |
+
dictitems:
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| 3 |
+
args: &id003 !!python/object/new:easydict.EasyDict
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| 4 |
+
dictitems:
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| 5 |
+
channels: 4
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| 6 |
+
multi_spectral: true
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| 7 |
+
num_workers: 4
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| 8 |
+
rgb_range: 1
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| 9 |
+
scale: 4
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| 10 |
+
train: &id001 !!python/object/new:easydict.EasyDict
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| 11 |
+
dictitems:
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| 12 |
+
batch_size: 8
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| 13 |
+
data_cache: memory
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| 14 |
+
data_length: 32768
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| 15 |
+
data_path: load/naip/synthetic_naip
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| 16 |
+
harmonization: true
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| 17 |
+
hr_img_sz: 256
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| 18 |
+
state:
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| 19 |
+
batch_size: 8
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| 20 |
+
data_cache: memory
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| 21 |
+
data_length: 32768
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| 22 |
+
data_path: load/naip/synthetic_naip
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| 23 |
+
harmonization: true
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| 24 |
+
hr_img_sz: 256
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| 25 |
+
valid: &id002 !!python/object/new:easydict.EasyDict
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| 26 |
+
dictitems:
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| 27 |
+
data_first_k: 1
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| 28 |
+
hr_path: load/WorldStrat_png/test/HR
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| 29 |
+
lr_path: load/WorldStrat_png/test/LR
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| 30 |
+
state:
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| 31 |
+
data_first_k: 1
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| 32 |
+
hr_path: load/WorldStrat_png/test/HR
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| 33 |
+
lr_path: load/WorldStrat_png/test/LR
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| 34 |
+
state:
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| 35 |
+
channels: 4
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| 36 |
+
multi_spectral: true
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| 37 |
+
num_workers: 4
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| 38 |
+
rgb_range: 1
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| 39 |
+
scale: 4
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| 40 |
+
train: *id001
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| 41 |
+
valid: *id002
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| 42 |
+
name: BlindSRJIFUSGSDataModule
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| 43 |
+
state:
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| 44 |
+
args: *id003
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| 45 |
+
name: BlindSRJIFUSGSDataModule
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| 46 |
+
lit_model: !!python/object/new:easydict.EasyDict
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| 47 |
+
dictitems:
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| 48 |
+
args: &id016 !!python/object/new:easydict.EasyDict
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| 49 |
+
dictitems:
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| 50 |
+
blur_kernel: 21
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| 51 |
+
blur_type: aniso_gaussian
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| 52 |
+
contrast_loss_weight: 0.05
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| 53 |
+
dg_encoder: DegradationEncoder
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| 54 |
+
diffusion: &id009 !!python/object/new:easydict.EasyDict
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| 55 |
+
dictitems:
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| 56 |
+
beta_end: 0.02
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| 57 |
+
beta_start: 0.0001
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| 58 |
+
beta_type: cosine
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| 59 |
+
model_mean_type: xstart
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| 60 |
+
model_var_type: fixedlarge
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| 61 |
+
n_timestep: 1000
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| 62 |
+
t_encode_mode: continuous
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| 63 |
+
state:
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| 64 |
+
beta_end: 0.02
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| 65 |
+
beta_start: 0.0001
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| 66 |
+
beta_type: cosine
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| 67 |
+
model_mean_type: xstart
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| 68 |
+
model_var_type: fixedlarge
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| 69 |
+
n_timestep: 1000
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| 70 |
+
t_encode_mode: continuous
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| 71 |
+
diffusion_model: &id010 !!python/object/new:easydict.EasyDict
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| 72 |
+
dictitems:
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| 73 |
+
args: &id006 !!python/object/new:easydict.EasyDict
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| 74 |
+
dictitems:
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| 75 |
+
attn_strides: &id004
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| 76 |
+
- 16
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| 77 |
+
channel_mults: &id005
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| 78 |
+
- 1
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| 79 |
+
- 2
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| 80 |
+
- 2
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| 81 |
+
- 4
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| 82 |
+
- 8
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| 83 |
+
dropout: 0
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| 84 |
+
fold: 2
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| 85 |
+
in_channel: 3
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| 86 |
+
inner_channel: 64
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| 87 |
+
out_channel: 3
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| 88 |
+
res_blocks: 5
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| 89 |
+
state:
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| 90 |
+
attn_strides: *id004
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| 91 |
+
channel_mults: *id005
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| 92 |
+
dropout: 0
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| 93 |
+
fold: 2
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| 94 |
+
in_channel: 3
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| 95 |
+
inner_channel: 64
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| 96 |
+
out_channel: 3
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| 97 |
+
res_blocks: 5
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| 98 |
+
name: DiffUNetSR3Atom
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| 99 |
+
state:
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| 100 |
+
args: *id006
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| 101 |
+
name: DiffUNetSR3Atom
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| 102 |
+
ema: true
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| 103 |
+
ema_rate: 0.999
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| 104 |
+
encoder: &id011 !!python/object/new:easydict.EasyDict
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| 105 |
+
dictitems:
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| 106 |
+
args: &id007 !!python/object/new:easydict.EasyDict
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| 107 |
+
dictitems:
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| 108 |
+
num_block: 23
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| 109 |
+
num_feat: 64
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| 110 |
+
num_in_ch: 3
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| 111 |
+
num_out_ch: 3
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| 112 |
+
scale: 4
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| 113 |
+
state:
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| 114 |
+
num_block: 23
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| 115 |
+
num_feat: 64
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| 116 |
+
num_in_ch: 3
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| 117 |
+
num_out_ch: 3
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| 118 |
+
scale: 4
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| 119 |
+
is_train: true
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| 120 |
+
name: RRDBNet
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| 121 |
+
state:
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| 122 |
+
args: *id007
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| 123 |
+
is_train: true
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| 124 |
+
name: RRDBNet
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| 125 |
+
lambda_max: 4.0
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| 126 |
+
lambda_min: 0.2
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| 127 |
+
mean: &id012
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| 128 |
+
- 0.5
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| 129 |
+
- 0.5
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| 130 |
+
- 0.5
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| 131 |
+
noise: 25
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| 132 |
+
optimizer: &id013 !!python/object/new:easydict.EasyDict
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| 133 |
+
dictitems:
|
| 134 |
+
lr: 0.0001
|
| 135 |
+
lr_scheduler_gamma: 0.5
|
| 136 |
+
lr_scheduler_milestones: &id008
|
| 137 |
+
- 200
|
| 138 |
+
- 400
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| 139 |
+
- 600
|
| 140 |
+
- 800
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| 141 |
+
state:
|
| 142 |
+
lr: 0.0001
|
| 143 |
+
lr_scheduler_gamma: 0.5
|
| 144 |
+
lr_scheduler_milestones: *id008
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| 145 |
+
scale: 4
|
| 146 |
+
sig_max: 4.0
|
| 147 |
+
sig_min: 2.0
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| 148 |
+
std: &id014
|
| 149 |
+
- 0.5
|
| 150 |
+
- 0.5
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| 151 |
+
- 0.5
|
| 152 |
+
theta: 0.0
|
| 153 |
+
valid: &id015 !!python/object/new:easydict.EasyDict
|
| 154 |
+
dictitems:
|
| 155 |
+
blur_kernel: 21
|
| 156 |
+
blur_type: iso_gaussian
|
| 157 |
+
eta: 0
|
| 158 |
+
no_crop_border: false
|
| 159 |
+
noise: 0.0
|
| 160 |
+
scale: 4
|
| 161 |
+
sig: 1.2
|
| 162 |
+
skip: 50
|
| 163 |
+
test_Y: false
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| 164 |
+
state:
|
| 165 |
+
blur_kernel: 21
|
| 166 |
+
blur_type: iso_gaussian
|
| 167 |
+
eta: 0
|
| 168 |
+
no_crop_border: false
|
| 169 |
+
noise: 0.0
|
| 170 |
+
scale: 4
|
| 171 |
+
sig: 1.2
|
| 172 |
+
skip: 50
|
| 173 |
+
test_Y: false
|
| 174 |
+
state:
|
| 175 |
+
blur_kernel: 21
|
| 176 |
+
blur_type: aniso_gaussian
|
| 177 |
+
contrast_loss_weight: 0.05
|
| 178 |
+
dg_encoder: DegradationEncoder
|
| 179 |
+
diffusion: *id009
|
| 180 |
+
diffusion_model: *id010
|
| 181 |
+
ema: true
|
| 182 |
+
ema_rate: 0.999
|
| 183 |
+
encoder: *id011
|
| 184 |
+
lambda_max: 4.0
|
| 185 |
+
lambda_min: 0.2
|
| 186 |
+
mean: *id012
|
| 187 |
+
noise: 25
|
| 188 |
+
optimizer: *id013
|
| 189 |
+
scale: 4
|
| 190 |
+
sig_max: 4.0
|
| 191 |
+
sig_min: 2.0
|
| 192 |
+
std: *id014
|
| 193 |
+
theta: 0.0
|
| 194 |
+
valid: *id015
|
| 195 |
+
name: DiffBlindSR3AtomJIFModel
|
| 196 |
+
state:
|
| 197 |
+
args: *id016
|
| 198 |
+
name: DiffBlindSR3AtomJIFModel
|
| 199 |
+
trainer: !!python/object/new:easydict.EasyDict
|
| 200 |
+
dictitems:
|
| 201 |
+
check_val_every_n_epoch: 1
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| 202 |
+
max_epochs: 1000
|
| 203 |
+
pretrain_epochs: 0
|
| 204 |
+
save_period: 100
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| 205 |
+
save_top_k: 2
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| 206 |
+
state:
|
| 207 |
+
check_val_every_n_epoch: 1
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| 208 |
+
max_epochs: 1000
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| 209 |
+
pretrain_epochs: 0
|
| 210 |
+
save_period: 100
|
| 211 |
+
save_top_k: 2
|