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det_r50_db++_icdar15.yml
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Global:
debug: false
use_gpu: true
epoch_num: 1000
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/det_r50_icdar15/
save_epoch_step: 200
eval_batch_step:
- 0
- 2000
cal_metric_during_train: false
pretrained_model: ./pretrain_models/ResNet50_dcn_asf_synthtext_pretrained
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: doc/imgs_en/img_10.jpg
save_res_path: ./checkpoints/det_db/predicts_db.txt
Architecture:
model_type: det
algorithm: DB++
Transform: null
Backbone:
name: ResNet
layers: 50
dcn_stage: [False, True, True, True]
Neck:
name: DBFPN
out_channels: 256
use_asf: True
Head:
name: DBHead
k: 50
Loss:
name: DBLoss
balance_loss: true
main_loss_type: BCELoss
alpha: 5
beta: 10
ohem_ratio: 3
Optimizer:
name: Momentum
momentum: 0.9
lr:
name: DecayLearningRate
learning_rate: 0.007
epochs: 1000
factor: 0.9
end_lr: 0
weight_decay: 0.0001
PostProcess:
name: DBPostProcess
thresh: 0.3
box_thresh: 0.6
max_candidates: 1000
unclip_ratio: 1.5
Metric:
name: DetMetric
main_indicator: hmean
Train:
dataset:
name: SimpleDataSet
data_dir: ./train_data/icdar2015/text_localization/
label_file_list:
- ./train_data/icdar2015/text_localization/train_icdar2015_label.txt
ratio_list:
- 1.0
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- DetLabelEncode: 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: 10
keep_ratio: true
- MakeShrinkMap:
shrink_ratio: 0.4
min_text_size: 8
- MakeBorderMap:
shrink_ratio: 0.4
thresh_min: 0.3
thresh_max: 0.7
- NormalizeImage:
scale: 1./255.
mean:
- 0.48109378172549
- 0.45752457890196
- 0.40787054090196
std:
- 1.0
- 1.0
- 1.0
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: 4
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: ./train_data/icdar2015/text_localization
label_file_list:
- ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- DetLabelEncode: null
- DetResizeForTest:
image_shape:
- 1152
- 2048
- NormalizeImage:
scale: 1./255.
mean:
- 0.48109378172549
- 0.45752457890196
- 0.40787054090196
std:
- 1.0
- 1.0
- 1.0
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