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ch_PP-OCRv4_rec.yml
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ch_PP-OCRv4_rec.yml
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Global:
device: gpu
epoch_num: 200
log_smooth_window: 20
print_batch_step: 10
output_dir: ./output/rec/rec_ppocr_v4
eval_epoch_step: [0, 1]
cal_metric_during_train: true
pretrained_model:
checkpoints:
use_tensorboard: false
infer_mode: false
infer_img: doc/imgs_words/ch/word_1.jpg
character_dict_path: &character_dict_path torchocr/utils/ppocr_keys_v1.txt
max_text_length: &max_text_length 25
use_space_char: &use_space_char true
Export:
export_dir:
export_shape: [ 1, 3, 48, 320 ]
dynamic_axes: [ 0, 2, 3 ]
Optimizer:
name: Adam
lr: 0.001
weight_decay: 3.0e-05
LRScheduler:
name: CosineAnnealingLR
warmup_epoch: 5
Architecture:
model_type: rec
algorithm: SVTR_LCNet
Transform:
Backbone:
name: PPLCNetV3
scale: 0.95
Head:
name: MultiHead
head_list:
- CTCHead:
Neck:
name: svtr
dims: 120
depth: 2
hidden_dims: 120
kernel_size: [1, 3]
use_guide: True
- NRTRHead:
nrtr_dim: 384
max_text_length: *max_text_length
Loss:
name: MultiLoss
loss_config_list:
- CTCLoss:
- NRTRLoss:
PostProcess:
name: CTCLabelDecode
character_dict_path: *character_dict_path
use_space_char: *use_space_char
Metric:
name: RecMetric
main_indicator: acc
Train:
dataset:
name: MultiScaleDataSet
ds_width: false
data_dir: ./train_data/
ext_op_transform_idx: 1
label_file_list:
- ./train_data/train_list.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecConAug:
prob: 0.5
ext_data_num: 2
image_shape: [48, 320, 3]
max_text_length: *max_text_length
- RecAug:
- MultiLabelEncode:
gtc_encode: NRTRLabelEncode
- KeepKeys:
keep_keys:
- image
- label_ctc
- label_gtc
- length
- valid_ratio
sampler:
name: MultiScaleSampler
scales: [[320, 32], [320, 48], [320, 64]]
first_bs: &bs 192
fix_bs: false
divided_factor: [8, 16] # w, h
is_training: True
loader:
shuffle: true
batch_size_per_card: *bs
drop_last: true
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: ./train_data
label_file_list:
- ./train_data/val_list.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- MultiLabelEncode:
gtc_encode: NRTRLabelEncode
- RecResizeImg:
image_shape: [3, 48, 320]
- KeepKeys:
keep_keys:
- image
- label_ctc
- label_gtc
- length
- valid_ratio
loader:
shuffle: false
drop_last: false
batch_size_per_card: 128
num_workers: 4