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 |
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 |
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 | | |
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 | - | \ |