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- Global:
- model: SLANet
- mode: check_dataset # check_dataset/train/evaluate/predict
- dataset_dir: "/paddle/dataset/paddlex/table_rec/table_rec_dataset_examples"
- device: gpu:0,1,2,3
- output: "output"
- CheckDataset:
- convert:
- enable: False
- src_dataset_type: null
- split:
- enable: False
- train_percent: null
- val_percent: null
- Train:
- epochs_iters: 10
- batch_size: 48
- learning_rate: 0.001
- pretrain_weight_path: null
- resume_path: null
- log_interval: 20
- eval_interval: 1
- save_interval: 1
- Evaluate:
- weight_path: "output/best_accuracy.pdparams"
- log_interval: 1
- Export:
- weight_path: https://paddleocr.bj.bcebos.com/pretrained/ch_PP-StructrureV2_SLANet_trained.pdparams
- Predict:
- model_dir: "output/best_accuracy"
- input_path: "/paddle/dataset/paddlex/table_rec/table_rec_dataset_examples/images/border_10368_GBUAFQNHRKR5FUQ6ZE50.jpg"
- kernel_option:
- run_mode: paddle
- batch_size: 1
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