You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
117 lines
2.4 KiB
YAML
117 lines
2.4 KiB
YAML
Global:
|
|
use_gpu: true
|
|
epoch_num: 5
|
|
log_smooth_window: 20
|
|
print_batch_step: 50
|
|
save_model_dir: ./json/rec/rec_satrn/
|
|
save_epoch_step: 1
|
|
# evaluation is run every 5000 iterations
|
|
eval_batch_step: [0, 5000]
|
|
cal_metric_during_train: False
|
|
pretrained_model:
|
|
checkpoints:
|
|
save_inference_dir:
|
|
use_visualdl: False
|
|
infer_img:
|
|
# for data or label process
|
|
character_dict_path: ppocr/utils/dict90.txt
|
|
max_text_length: 25
|
|
infer_mode: False
|
|
use_space_char: False
|
|
rm_symbol: True
|
|
save_res_path: ./json/rec/predicts_satrn.txt
|
|
|
|
Optimizer:
|
|
name: Adam
|
|
beta1: 0.9
|
|
beta2: 0.999
|
|
lr:
|
|
name: Piecewise
|
|
decay_epochs: [3, 4]
|
|
values: [0.0003, 0.00003, 0.000003]
|
|
regularizer:
|
|
name: 'L2'
|
|
factor: 0
|
|
|
|
Architecture:
|
|
model_type: rec
|
|
algorithm: SATRN
|
|
Backbone:
|
|
name: ShallowCNN
|
|
in_channels: 3
|
|
hidden_dim: 256
|
|
Head:
|
|
name: SATRNHead
|
|
enc_cfg:
|
|
n_layers: 6
|
|
n_head: 8
|
|
d_k: 32
|
|
d_v: 32
|
|
d_model: 256
|
|
n_position: 100
|
|
d_inner: 1024
|
|
dropout: 0.1
|
|
dec_cfg:
|
|
n_layers: 6
|
|
d_embedding: 256
|
|
n_head: 8
|
|
d_model: 256
|
|
d_inner: 1024
|
|
d_k: 32
|
|
d_v: 32
|
|
max_seq_len: 25
|
|
start_idx: 91
|
|
|
|
Loss:
|
|
name: SATRNLoss
|
|
|
|
PostProcess:
|
|
name: SATRNLabelDecode
|
|
|
|
Metric:
|
|
name: RecMetric
|
|
main_indicator: acc
|
|
|
|
Train:
|
|
dataset:
|
|
name: LMDBDataSet
|
|
data_dir: ./train_data/data_lmdb_release/training/
|
|
transforms:
|
|
- DecodeImage: # load image
|
|
img_mode: BGR
|
|
channel_first: False
|
|
- SATRNLabelEncode: # Class handling label
|
|
- SVTRRecResizeImg:
|
|
image_shape: [3, 32, 100]
|
|
padding: False
|
|
- KeepKeys:
|
|
keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order
|
|
loader:
|
|
shuffle: True
|
|
batch_size_per_card: 128
|
|
drop_last: True
|
|
num_workers: 8
|
|
use_shared_memory: False
|
|
|
|
Eval:
|
|
dataset:
|
|
name: LMDBDataSet
|
|
data_dir: ./train_data/data_lmdb_release/evaluation/
|
|
transforms:
|
|
- DecodeImage: # load image
|
|
img_mode: BGR
|
|
channel_first: False
|
|
- SATRNLabelEncode: # Class handling label
|
|
- SVTRRecResizeImg:
|
|
image_shape: [3, 32, 100]
|
|
padding: False
|
|
- KeepKeys:
|
|
keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order
|
|
|
|
loader:
|
|
shuffle: False
|
|
drop_last: False
|
|
batch_size_per_card: 128
|
|
num_workers: 4
|
|
use_shared_memory: False
|