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68 lines
6.6 KiB
Markdown
68 lines
6.6 KiB
Markdown
# OPTIONAL PARAMETERS LIST
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The following list can be viewed via `--help`
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| FLAG | Supported script | Use | Defaults | Note |
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| :----------------------: | :------------: | :---------------: | :--------------: | :-----------------: |
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| -c | ALL | Specify configuration file to use | None | **Please refer to the parameter introduction for configuration file usage** |
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| -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` |
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## INTRODUCTION TO GLOBAL PARAMETERS OF CONFIGURATION FILE
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Take `rec_chinese_lite_train.yml` as an example
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| Parameter | Use | Default | Note |
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| :----------------------: | :---------------------: | :--------------: | :--------------------: |
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| algorithm | Select algorithm to use | Synchronize with configuration file | For selecting model, please refer to the supported model [list](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/README_en.md) |
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| use_gpu | Set using GPU or not | true | \ |
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| epoch_num | Maximum training epoch number | 3000 | \ |
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| log_smooth_window | Sliding window size | 20 | \ |
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| print_batch_step | Set print log interval | 10 | \ |
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| save_model_dir | Set model save path | output/{model_name} | \ |
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| save_epoch_step | Set model save interval | 3 | \ |
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| 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 |
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|train_batch_size_per_card | Set the batch size during training | 256 | \ |
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| test_batch_size_per_card | Set the batch size during testing | 256 | \ |
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| image_shape | Set input image size | [3, 32, 100] | \ |
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| max_text_length | Set the maximum text length | 25 | \ |
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| 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|
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| character_dict_path | Set dictionary path | ./ppocr/utils/ic15_dict.txt | \ |
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| loss_type | Set loss type | ctc | Supports two types of loss: ctc / attention |
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| distort | Set use distort | false | Support distort type ,read [img_tools.py](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/ppocr/data/rec/img_tools.py) |
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| use_space_char | Wether to recognize space | false | Only support in character_type=ch mode |
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| reader_yml | Set the reader configuration file | ./configs/rec/rec_icdar15_reader.yml | \ |
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| pretrain_weights | Load pre-trained model path | ./pretrain_models/CRNN/best_accuracy | \ |
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| checkpoints | Load saved model path | None | Used to load saved parameters to continue training after interruption |
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| save_inference_dir | path to save model for inference | None | Use to save inference model |
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## INTRODUCTION TO READER PARAMETERS OF CONFIGURATION FILE
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Take `rec_chinese_reader.yml` as an example:
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| Parameter | Use | Default | Note |
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| :----------------------: | :---------------------: | :--------------: | :--------------------: |
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| reader_function | Select data reading method | ppocr.data.rec.dataset_traversal,SimpleReader | Support two data reading methods: SimpleReader / LMDBReader |
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| num_workers | Set the number of data reading threads | 8 | \ |
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| img_set_dir | Image folder path | ./train_data | \ |
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| label_file_path | Groundtruth file path | ./train_data/rec_gt_train.txt| \ |
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| infer_img | Result folder path | ./infer_img | \|
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## INTRODUCTION TO OPTIMIZER PARAMETERS OF CONFIGURATION FILE
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Take `rec_icdar15_train.yml` as an example:
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| Parameter | Use | Default | None |
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| :---------------------: | :---------------------: | :--------------: | :--------------------: |
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| function | Select Optimizer function | pocr.optimizer,AdamDecay | Only support Adam |
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| base_lr | Set the base lr | 0.0005 | \ |
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| beta1 | Set the exponential decay rate for the 1st moment estimates | 0.9 | \ |
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| beta2 | Set the exponential decay rate for the 2nd moment estimates | 0.999 | \ |
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| decay | Whether to use decay | \ | \ |
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| function(decay) | Set the decay function | cosine_decay | Support cosine_decay and piecewise_decay |
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| step_each_epoch | The number of steps in an epoch. Used in cosine_decay | 20 | Calculation ：total_image_num / (batch_size_per_card * card_size) |
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| total_epoch | The number of epochs. Used in cosine_decay | 1000 | Consistent with Global.epoch_num |
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| boundaries | The step intervals to reduce learning rate. Used in piecewise_decay | - | The format is list |
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| decay_rate | Learning rate decay rate. Used in piecewise_decay | - | \ |
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