101 lines
2.2 KiB
YAML
101 lines
2.2 KiB
YAML
Global:
|
|
use_gpu: true
|
|
epoch_num: 72
|
|
log_smooth_window: 20
|
|
print_batch_step: 10
|
|
save_model_dir: ./output/rec/ic15/
|
|
save_epoch_step: 3
|
|
# evaluation is run every 2000 iterations
|
|
eval_batch_step: [0, 2000]
|
|
cal_metric_during_train: True
|
|
pretrained_model:
|
|
checkpoints:
|
|
save_inference_dir: ./
|
|
use_visualdl: False
|
|
infer_img: doc/imgs_words_en/word_10.png
|
|
# for data or label process
|
|
character_dict_path: ppocr/utils/ic15_dict.txt
|
|
character_type: ch
|
|
max_text_length: 25
|
|
infer_mode: False
|
|
use_space_char: False
|
|
save_res_path: ./output/rec/predicts_ic15.txt
|
|
|
|
Optimizer:
|
|
name: Adam
|
|
beta1: 0.9
|
|
beta2: 0.999
|
|
lr:
|
|
learning_rate: 0.0005
|
|
regularizer:
|
|
name: 'L2'
|
|
factor: 0
|
|
|
|
Architecture:
|
|
model_type: rec
|
|
algorithm: CRNN
|
|
Transform:
|
|
Backbone:
|
|
name: MobileNetV3
|
|
scale: 0.5
|
|
model_name: large
|
|
Neck:
|
|
name: SequenceEncoder
|
|
encoder_type: rnn
|
|
hidden_size: 96
|
|
Head:
|
|
name: CTCHead
|
|
fc_decay: 0
|
|
|
|
Loss:
|
|
name: CTCLoss
|
|
|
|
PostProcess:
|
|
name: CTCLabelDecode
|
|
|
|
Metric:
|
|
name: RecMetric
|
|
main_indicator: acc
|
|
|
|
Train:
|
|
dataset:
|
|
name: SimpleDataSet
|
|
data_dir: ./train_data/ic15_data/
|
|
label_file_list: ["./train_data/ic15_data/rec_gt_train.txt"]
|
|
transforms:
|
|
- DecodeImage: # load image
|
|
img_mode: BGR
|
|
channel_first: False
|
|
- CTCLabelEncode: # Class handling label
|
|
- RecResizeImg:
|
|
image_shape: [3, 32, 100]
|
|
- KeepKeys:
|
|
keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
|
|
loader:
|
|
shuffle: True
|
|
batch_size_per_card: 256
|
|
drop_last: True
|
|
num_workers: 8
|
|
use_shared_memory: False
|
|
|
|
Eval:
|
|
dataset:
|
|
name: SimpleDataSet
|
|
data_dir: ./train_data/ic15_data
|
|
label_file_list: ["./train_data/ic15_data/rec_gt_test.txt"]
|
|
transforms:
|
|
- DecodeImage: # load image
|
|
img_mode: BGR
|
|
channel_first: False
|
|
- CTCLabelEncode: # Class handling label
|
|
- RecResizeImg:
|
|
image_shape: [3, 32, 100]
|
|
- KeepKeys:
|
|
keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
|
|
loader:
|
|
shuffle: False
|
|
drop_last: False
|
|
batch_size_per_card: 256
|
|
num_workers: 4
|
|
use_shared_memory: False
|