WhXl
commented
3 years ago I fix this question! config.yaml
project: deblur_gan experiment_desc: fpn
train: files_a: &FILES_A /home/wx/dataset/DeblurGan激烈湍流/deblurganv2/train/blur/.png files_b: &FILES_B /home/wx/dataset/DeblurGan激烈湍流/deblurganv2/train/sharp/.png size: &SIZE 320 crop: random preload: &PRELOAD false preload_size: &PRELOAD_SIZE 0 bounds: [0, .9] scope: geometric corrupt: &CORRUPT
- name: cutout prob: 0.5 num_holes: 3 max_h_size: 25 max_w_size: 25
- name: jpeg quality_lower: 70 quality_upper: 90
- name: motion_blur
- name: median_blur
- name: gamma
- name: rgb_shift
- name: hsv_shift
- name: sharpen
val: files_a: &FILES_C /home/wx/dataset/DeblurGan激烈湍流/deblurganv2/val/blur/.png files_b: &FILES_D /home/wx/dataset/DeblurGan激烈湍流/deblurganv2/val/sharp/.png size: SIZE scope: geometric crop: center preload: PRELOAD preload_size: PRELOAD_SIZE bounds: [.9, 1] corrupt: CORRUPT
phase: train warmup_num: 3 model: g_name: fpn_inception blocks: 9 d_name: double_gan # may be no_gan, patch_gan, double_gan, multi_scale d_layers: 3 content_loss: perceptual adv_lambda: 0.001 disc_loss: wgan-gp learn_residual: True norm_layer: instance dropout: True
num_epochs: 200 train_batches_per_epoch: 1000 val_batches_per_epoch: 100 batch_size: 1 image_size: [320, 320]
optimizer: name: adam lr: 0.0001 scheduler: name: linear start_epoch: 50 min_lr: 0.0000001
I get this question!!! yaml.parser.ParserError: while parsing a block mapping in "config/config.yaml", line 6, column 3 expected, but found ''
in "config/config.yaml", line 7, column 21
config.yaml
project: deblur_gan experiment_desc: fpn
train: files_a: &FILES_A ./deblurganv3/train/blur/.png files_b: FILES_A ./deblurganv3/train/sharp/*.png size: &SIZE 320 crop: random preload: &PRELOAD false preload_size: &PRELOAD_SIZE 0 bounds: [0, .9] scope: geometric corrupt: &CORRUPT
val: files_a: &FILES_A ./deblurganv3/val/blur/.png files_b: FILES_A .deblurganv3/val/sharp/.png size: SIZE scope: geometric crop: center preload: PRELOAD preload_size: PRELOAD_SIZE bounds: [.9, 1] corrupt: *CORRUPT
phase: train warmup_num: 3 model: g_name: fpn_inception blocks: 9 d_name: double_gan # may be no_gan, patch_gan, double_gan, multi_scale d_layers: 3 content_loss: perceptual adv_lambda: 0.001 disc_loss: wgan-gp learn_residual: True norm_layer: instance dropout: True
num_epochs: 200 train_batches_per_epoch: 1000 val_batches_per_epoch: 100 batch_size: 1 image_size: [320, 320]
optimizer: name: adam lr: 0.0001 scheduler: name: linear start_epoch: 50 min_lr: 0.0000001
dataset tree deblurganv3 ├── train │ ├── blur │ │ ├── 0_0.png │ │ ├── 0_1.png │ │ ├── 0_2.png │ │ ├── 0_3.png │ │ ├── 0_4.png │ │ ├── 0_5.png │ │ ├── 0_6.png │ │ ├── 0_7.png │ │ ├── 0_8.png │ │ └── 0_9.png │ └── sharp │ ├── 0_0.png │ ├── 0_1.png │ ├── 0_2.png │ ├── 0_3.png │ ├── 0_4.png │ ├── 0_5.png │ ├── 0_6.png │ ├── 0_7.png │ ├── 0_8.png │ └── 0_9.png └── val ├── blur │ ├── 0_0.png │ ├── 0_1.png │ ├── 0_2.png │ ├── 0_3.png │ ├── 0_4.png │ ├── 0_5.png │ ├── 0_6.png │ ├── 0_7.png │ ├── 0_8.png │ └── 0_9.png └── sharp ├── 0_0.png ├── 0_1.png ├── 0_2.png ├── 0_3.png ├── 0_4.png ├── 0_5.png ├── 0_6.png ├── 0_7.png ├── 0_8.png └── 0_9.png