|
|
Global: |
|
|
device: gpu |
|
|
epoch_num: &epoch_num 500 |
|
|
log_smooth_window: 20 |
|
|
print_batch_step: 100 |
|
|
output_dir: ./output/det_repsvtr_db |
|
|
save_epoch_step: [400, 25] |
|
|
eval_batch_step: |
|
|
- 0 |
|
|
- 1000 |
|
|
cal_metric_during_train: false |
|
|
checkpoints: |
|
|
pretrained_model: openocr_det_repvit_ch.pth |
|
|
save_inference_dir: null |
|
|
use_tensorboard: false |
|
|
infer_img: |
|
|
save_res_path: ./checkpoints/det_db/predicts_db.txt |
|
|
distributed: true |
|
|
model_type: det |
|
|
|
|
|
Architecture: |
|
|
algorithm: DB_mobile |
|
|
Backbone: |
|
|
name: RepSVTR_det |
|
|
Neck: |
|
|
name: RSEFPN |
|
|
out_channels: 96 |
|
|
shortcut: True |
|
|
Head: |
|
|
name: DBHead |
|
|
k: 50 |
|
|
|
|
|
Loss: |
|
|
name: DBLoss |
|
|
balance_loss: true |
|
|
main_loss_type: DiceLoss |
|
|
alpha: 5 |
|
|
beta: 10 |
|
|
ohem_ratio: 3 |
|
|
|
|
|
Optimizer: |
|
|
name: Adam |
|
|
lr: 0.001 |
|
|
weight_decay: 5.0e-05 |
|
|
filter_bias_and_bn: False |
|
|
|
|
|
LRScheduler: |
|
|
name: CosineAnnealingLR |
|
|
warmup_epoch: 2 |
|
|
|
|
|
PostProcess: |
|
|
name: DBPostProcess |
|
|
thresh: 0.3 |
|
|
box_thresh: 0.6 |
|
|
max_candidates: 1000 |
|
|
unclip_ratio: 1.5 |
|
|
score_mode: 'slow' |
|
|
|
|
|
Metric: |
|
|
name: DetMetric |
|
|
main_indicator: hmean |
|
|
|
|
|
Train: |
|
|
dataset: |
|
|
name: SimpleDataSet |
|
|
data_dir: ../icdar2015/text_localization/ |
|
|
label_file_list: |
|
|
- ../icdar2015/text_localization/train_icdar2015_label.txt |
|
|
ratio_list: [1.0] |
|
|
transforms: |
|
|
- DecodeImage: |
|
|
img_mode: BGR |
|
|
channel_first: false |
|
|
- DetLabelEncode: null |
|
|
- CopyPaste: null |
|
|
- IaaAugment: |
|
|
augmenter_args: |
|
|
- type: Fliplr |
|
|
args: |
|
|
p: 0.5 |
|
|
- type: Affine |
|
|
args: |
|
|
rotate: |
|
|
- -10 |
|
|
- 10 |
|
|
- type: Resize |
|
|
args: |
|
|
size: |
|
|
- 0.5 |
|
|
- 3 |
|
|
- EastRandomCropData: |
|
|
size: |
|
|
- 640 |
|
|
- 640 |
|
|
max_tries: 50 |
|
|
keep_ratio: true |
|
|
- MakeBorderMap: |
|
|
shrink_ratio: 0.4 |
|
|
thresh_min: 0.3 |
|
|
thresh_max: 0.7 |
|
|
total_epoch: *epoch_num |
|
|
- MakeShrinkMap: |
|
|
shrink_ratio: 0.4 |
|
|
min_text_size: 8 |
|
|
total_epoch: *epoch_num |
|
|
- NormalizeImage: |
|
|
scale: 1./255. |
|
|
mean: |
|
|
- 0.485 |
|
|
- 0.456 |
|
|
- 0.406 |
|
|
std: |
|
|
- 0.229 |
|
|
- 0.224 |
|
|
- 0.225 |
|
|
order: hwc |
|
|
- ToCHWImage: null |
|
|
- KeepKeys: |
|
|
keep_keys: |
|
|
- image |
|
|
- threshold_map |
|
|
- threshold_mask |
|
|
- shrink_map |
|
|
- shrink_mask |
|
|
loader: |
|
|
shuffle: true |
|
|
drop_last: false |
|
|
batch_size_per_card: 8 |
|
|
num_workers: 8 |
|
|
|
|
|
Eval: |
|
|
dataset: |
|
|
name: SimpleDataSet |
|
|
data_dir: ../icdar2015/text_localization/ |
|
|
label_file_list: |
|
|
- ../icdar2015/text_localization/test_icdar2015_label.txt |
|
|
transforms: |
|
|
- DecodeImage: |
|
|
img_mode: BGR |
|
|
channel_first: false |
|
|
- DetLabelEncode: null |
|
|
- DetResizeForTest: |
|
|
|
|
|
|
|
|
|
|
|
limit_side_len: 960 |
|
|
limit_type: max |
|
|
- NormalizeImage: |
|
|
scale: 1./255. |
|
|
mean: |
|
|
- 0.485 |
|
|
- 0.456 |
|
|
- 0.406 |
|
|
std: |
|
|
- 0.229 |
|
|
- 0.224 |
|
|
- 0.225 |
|
|
order: hwc |
|
|
- ToCHWImage: null |
|
|
- KeepKeys: |
|
|
keep_keys: |
|
|
- image |
|
|
- shape |
|
|
- polys |
|
|
- ignore_tags |
|
|
loader: |
|
|
shuffle: false |
|
|
drop_last: false |
|
|
batch_size_per_card: 1 |
|
|
num_workers: 2 |
|
|
profiler_options: null |
|
|
|
