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- Global:
- use_gpu: true
- epoch_num: 1200
- log_smooth_window: 20
- print_batch_step: 10
- save_model_dir: ./output/det_r50_vd/
- save_epoch_step: 1200
- # evaluation is run every 2000 iterations
- eval_batch_step: [0,2000]
- cal_metric_during_train: False
- pretrained_model: ./pretrain_models/ResNet50_vd_ssld_pretrained
- checkpoints:
- save_inference_dir:
- use_visualdl: False
- infer_img: doc/imgs_en/img_10.jpg
- save_res_path: ./output/det_db/predicts_db.txt
- Architecture:
- model_type: det
- algorithm: DB
- Transform:
- Backbone:
- name: ResNet_vd
- layers: 50
- Neck:
- name: DBFPN
- out_channels: 256
- Head:
- name: DBHead
- k: 50
- Loss:
- name: DBLoss
- balance_loss: true
- main_loss_type: DiceLoss
- alpha: 5
- beta: 10
- ohem_ratio: 3
- Optimizer:
- name: Adam
- beta1: 0.9
- beta2: 0.999
- lr:
- learning_rate: 0.001
- regularizer:
- name: 'L2'
- factor: 0
- PostProcess:
- name: DBPostProcess
- thresh: 0.3
- box_thresh: 0.7
- max_candidates: 1000
- unclip_ratio: 1.5
- Metric:
- name: DetMetric
- main_indicator: hmean
- Train:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data/icdar2015/text_localization/
- label_file_list:
- - ./train_data/icdar2015/text_localization/train_icdar2015_label.txt
- ratio_list: [1.0]
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - DetLabelEncode: # Class handling label
- - IaaAugment:
- augmenter_args:
- - { 'type': Fliplr, 'args': { 'p': 0.5 } }
- - { 'type': Affine, 'args': { 'rotate': [-10, 10] } }
- - { 'type': Resize, 'args': { 'size': [0.5, 3] } }
- - EastRandomCropData:
- size: [640, 640]
- max_tries: 50
- keep_ratio: true
- - MakeBorderMap:
- shrink_ratio: 0.4
- thresh_min: 0.3
- thresh_max: 0.7
- - MakeShrinkMap:
- shrink_ratio: 0.4
- min_text_size: 8
- - NormalizeImage:
- scale: 1./255.
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- order: 'hwc'
- - ToCHWImage:
- - KeepKeys:
- keep_keys: ['image', 'threshold_map', 'threshold_mask', 'shrink_map', 'shrink_mask'] # the order of the dataloader list
- loader:
- shuffle: True
- drop_last: False
- batch_size_per_card: 16
- num_workers: 4
- Eval:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data/icdar2015/text_localization/
- label_file_list:
- - ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - DetLabelEncode: # Class handling label
- - DetResizeForTest:
- image_shape: [736, 1280]
- - NormalizeImage:
- scale: 1./255.
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- order: 'hwc'
- - ToCHWImage:
- - KeepKeys:
- keep_keys: ['image', 'shape', 'polys', 'ignore_tags']
- loader:
- shuffle: False
- drop_last: False
- batch_size_per_card: 1 # must be 1
- num_workers: 8
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