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config_en.md

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OPTIONAL PARAMETERS LIST

The following list can be viewed via --help

FLAG Supported script Use Defaults Note
-c ALL Specify configuration file to use None Please refer to the parameter introduction for configuration file usage
-o ALL set configuration options None Configuration using -o has higher priority than the configuration file selected with -c. E.g: -o Global.use_gpu=false

INTRODUCTION TO GLOBAL PARAMETERS OF CONFIGURATION FILE

Take rec_chinese_lite_train_v1.1.yml as an example

Parameter Use Default Note
algorithm Select algorithm to use Synchronize with configuration file For selecting model, please refer to the supported model list
use_gpu Set using GPU or not true \
epoch_num Maximum training epoch number 3000 \
log_smooth_window Sliding window size 20 \
print_batch_step Set print log interval 10 \
save_model_dir Set model save path output/{model_name} \
save_epoch_step Set model save interval 3 \
eval_batch_step Set the model evaluation interval 2000 or [1000, 2000] runing evaluation every 2000 iters or evaluation is run every 2000 iterations after the 1000th iteration
train_batch_size_per_card Set the batch size during training 256 \
test_batch_size_per_card Set the batch size during testing 256 \
image_shape Set input image size [3, 32, 100] \
max_text_length Set the maximum text length 25 \
character_type Set character type ch en/ch, the default dict will be used for en, and the custom dict will be used for ch
character_dict_path Set dictionary path ./ppocr/utils/ic15_dict.txt \
loss_type Set loss type ctc Supports two types of loss: ctc / attention
distort Set use distort false Support distort type ,read img_tools.py
use_space_char Wether to recognize space false Only support in character_type=ch mode
 label_list          | Set the angle supported by the direction classifier | ['0','180'] | Only valid in the direction classifier |

| reader_yml | Set the reader configuration file | ./configs/rec/rec_icdar15_reader.yml | \ | | pretrain_weights | Load pre-trained model path | ./pretrain_models/CRNN/best_accuracy | \ | | checkpoints | Load saved model path | None | Used to load saved parameters to continue training after interruption | | save_inference_dir | path to save model for inference | None | Use to save inference model |

INTRODUCTION TO READER PARAMETERS OF CONFIGURATION FILE

Take rec_chinese_reader.yml as an example:

Parameter Use Default Note
reader_function Select data reading method ppocr.data.rec.dataset_traversal,SimpleReader Support two data reading methods: SimpleReader / LMDBReader
num_workers Set the number of data reading threads 8 \
img_set_dir Image folder path ./train_data \
label_file_path Groundtruth file path ./train_data/rec_gt_train.txt \
infer_img Result folder path ./infer_img |

INTRODUCTION TO OPTIMIZER PARAMETERS OF CONFIGURATION FILE

Take rec_icdar15_train.yml as an example:

Parameter Use Default None
function Select Optimizer function pocr.optimizer,AdamDecay Only support Adam
base_lr Set the base lr 0.0005 \
beta1 Set the exponential decay rate for the 1st moment estimates 0.9 \
beta2 Set the exponential decay rate for the 2nd moment estimates 0.999 \
decay Whether to use decay \ \
function(decay) Set the decay function cosine_decay Support cosine_decay, cosine_decay_warmup and piecewise_decay
step_each_epoch The number of steps in an epoch. Used in cosine_decay/cosine_decay_warmup 20 Calculation: total_image_num / (batch_size_per_card * card_size)
total_epoch The number of epochs. Used in cosine_decay/cosine_decay_warmup 1000 Consistent with Global.epoch_num
warmup_minibatch Number of steps for linear warmup. Used in cosine_decay_warmup 1000 \
boundaries The step intervals to reduce learning rate. Used in piecewise_decay - The format is list
decay_rate Learning rate decay rate. Used in piecewise_decay - \