125 lines
2.9 KiB
YAML
125 lines
2.9 KiB
YAML
|
Global:
|
||
|
|
use_gpu: false
|
||
|
|
epoch_num: 5
|
||
|
|
log_smooth_window: 20
|
||
|
|
print_batch_step: 1
|
||
|
|
save_model_dir: ./output/db_mv3/
|
||
|
|
save_epoch_step: 1200
|
||
|
|
# evaluation is run every 2000 iterations
|
||
|
|
eval_batch_step: [0, 400]
|
||
|
|
cal_metric_during_train: False
|
||
|
|
pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
|
||
|
|
checkpoints:
|
||
|
|
save_inference_dir:
|
||
|
|
use_visualdl: False
|
||
|
|
infer_img: doc/imgs_en/img_10.jpg
|
||
|
|
save_res_path: ./output/det_db/predicts_db.txt
|
||
|
|
|
||
|
|
Architecture:
|
||
|
|
model_type: det
|
||
|
|
algorithm: DB
|
||
|
|
Transform:
|
||
|
|
Backbone:
|
||
|
|
name: ResNet #MobileNetV3
|
||
|
|
layers: 50
|
||
|
|
Neck:
|
||
|
|
name: DBFPN
|
||
|
|
out_channels: 256
|
||
|
|
Head:
|
||
|
|
name: DBHead
|
||
|
|
k: 50
|
||
|
|
|
||
|
|
Loss:
|
||
|
|
name: DBLoss
|
||
|
|
balance_loss: true
|
||
|
|
main_loss_type: DiceLoss
|
||
|
|
alpha: 5 #5
|
||
|
|
beta: 10 #10
|
||
|
|
ohem_ratio: 3
|
||
|
|
|
||
|
|
Optimizer:
|
||
|
|
name: Adam #Momentum
|
||
|
|
#momentum: 0.9
|
||
|
|
beta1: 0.9
|
||
|
|
beta2: 0.999
|
||
|
|
lr:
|
||
|
|
learning_rate: 0.001
|
||
|
|
regularizer:
|
||
|
|
name: 'L2'
|
||
|
|
factor: 0
|
||
|
|
|
||
|
|
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: # load image
|
||
|
|
img_mode: BGR
|
||
|
|
channel_first: False
|
||
|
|
- DetLabelEncode: # Class handling label
|
||
|
|
- Resize:
|
||
|
|
# size: [640, 640]
|
||
|
|
- MakeBorderMap:
|
||
|
|
shrink_ratio: 0.4
|
||
|
|
thresh_min: 0.3
|
||
|
|
thresh_max: 0.7
|
||
|
|
- MakeShrinkMap:
|
||
|
|
shrink_ratio: 0.4
|
||
|
|
min_text_size: 8
|
||
|
|
- NormalizeImage:
|
||
|
|
scale: 1./255.
|
||
|
|
mean: [0.485, 0.456, 0.406]
|
||
|
|
std: [0.229, 0.224, 0.225]
|
||
|
|
order: 'hwc'
|
||
|
|
- ToCHWImage:
|
||
|
|
- KeepKeys:
|
||
|
|
keep_keys: ['image', 'threshold_map', 'threshold_mask', 'shrink_map', 'shrink_mask'] # the order of the dataloader list
|
||
|
|
loader:
|
||
|
|
shuffle: False
|
||
|
|
drop_last: False
|
||
|
|
batch_size_per_card: 1
|
||
|
|
num_workers: 0
|
||
|
|
use_shared_memory: False
|
||
|
|
|
||
|
|
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: # load image
|
||
|
|
img_mode: BGR
|
||
|
|
channel_first: False
|
||
|
|
- DetLabelEncode: # Class handling label
|
||
|
|
- DetResizeForTest:
|
||
|
|
image_shape: [736, 1280]
|
||
|
|
- NormalizeImage:
|
||
|
|
scale: 1./255.
|
||
|
|
mean: [0.485, 0.456, 0.406]
|
||
|
|
std: [0.229, 0.224, 0.225]
|
||
|
|
order: 'hwc'
|
||
|
|
- ToCHWImage:
|
||
|
|
- KeepKeys:
|
||
|
|
keep_keys: ['image', 'shape', 'polys', 'ignore_tags']
|
||
|
|
loader:
|
||
|
|
shuffle: False
|
||
|
|
drop_last: False
|
||
|
|
batch_size_per_card: 1 # must be 1
|
||
|
|
num_workers: 0
|
||
|
|
use_shared_memory: False
|