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Global:
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debug: false
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use_gpu: true
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epoch_num: 200
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./json/rec/svtr_large/
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save_epoch_step: 10
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model:
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checkpoints:
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save_inference_dir:
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use_visualdl: false
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infer_img: doc/imgs_words/ch/word_1.jpg
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character_dict_path: ppocr/utils/ppocr_keys_v1.txt
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max_text_length: &max_text_length 40
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infer_mode: false
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use_space_char: true
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distributed: true
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save_res_path: ./json/rec/predicts_svtr_large.txt
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Optimizer:
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name: AdamW
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beta1: 0.9
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beta2: 0.99
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epsilon: 1.0e-08
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weight_decay: 0.05
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no_weight_decay_name: norm pos_embed char_node_embed pos_node_embed char_pos_embed vis_pos_embed
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one_dim_param_no_weight_decay: true
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lr:
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name: Cosine
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learning_rate: 0.00025 # 8gpus 64bs
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warmup_epoch: 5
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Architecture:
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model_type: rec
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algorithm: SVTR_LCNet
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Transform: null
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Backbone:
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name: SVTRNet
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img_size:
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- 48
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- 320
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out_char_num: 40
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out_channels: 512
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patch_merging: Conv
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embed_dim: [192, 256, 512]
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depth: [6, 6, 9]
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num_heads: [6, 8, 16]
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|
mixer: ['Conv','Conv','Conv','Conv','Conv','Conv','Conv','Conv','Conv','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global']
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local_mixer: [[5, 5], [5, 5], [5, 5]]
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last_stage: False
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|
prenorm: True
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|
Head:
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|
name: MultiHead
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use_pool: true
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use_pos: true
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head_list:
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|
- CTCHead:
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Neck:
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name: svtr
|
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|
dims: 256
|
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|
|
depth: 2
|
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|
|
hidden_dims: 256
|
|
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|
|
kernel_size: [1, 3]
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|
|
use_guide: True
|
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|
|
Head:
|
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|
|
|
fc_decay: 0.00001
|
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|
|
- NRTRHead:
|
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|
|
nrtr_dim: 512
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|
max_text_length: *max_text_length
|
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|
Loss:
|
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|
|
name: MultiLoss
|
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|
|
loss_config_list:
|
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|
|
- CTCLoss:
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|
|
- NRTRLoss:
|
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|
|
PostProcess:
|
|
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|
|
name: CTCLabelDecode
|
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|
|
Metric:
|
|
|
|
|
name: RecMetric
|
|
|
|
|
main_indicator: acc
|
|
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|
|
ignore_space: true
|
|
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|
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|
|
Train:
|
|
|
|
|
dataset:
|
|
|
|
|
name: SimpleDataSet
|
|
|
|
|
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
|
|
|
|
|
- RecAug:
|
|
|
|
|
- MultiLabelEncode:
|
|
|
|
|
gtc_encode: NRTRLabelEncode
|
|
|
|
|
- RecResizeImg:
|
|
|
|
|
image_shape: [3, 48, 320]
|
|
|
|
|
- KeepKeys:
|
|
|
|
|
keep_keys:
|
|
|
|
|
- image
|
|
|
|
|
- label_ctc
|
|
|
|
|
- label_gtc
|
|
|
|
|
- length
|
|
|
|
|
- valid_ratio
|
|
|
|
|
loader:
|
|
|
|
|
shuffle: true
|
|
|
|
|
batch_size_per_card: 64
|
|
|
|
|
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
|
|
|
|
|
- SVTRRecResizeImg:
|
|
|
|
|
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
|
