PaddleOCR/doc/doc_en/config_en.md

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	-	\