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- Global:
- use_gpu: true
- epoch_num: 10000
- log_smooth_window: 20
- print_batch_step: 2
- save_model_dir: ./output/east_r50_vd/
- save_epoch_step: 1000
- # evaluation is run every 5000 iterations after the 4000th iteration
- eval_batch_step: [4000, 5000]
- cal_metric_during_train: False
- pretrained_model: ./pretrain_models/ResNet50_vd_pretrained
- checkpoints:
- save_inference_dir:
- use_visualdl: False
- infer_img:
- save_res_path: ./output/det_east/predicts_east.txt
- Architecture:
- model_type: det
- algorithm: EAST
- Transform:
- Backbone:
- name: ResNet_vd
- layers: 50
- Neck:
- name: EASTFPN
- model_name: large
- Head:
- name: EASTHead
- model_name: large
- Loss:
- name: EASTLoss
-
- Optimizer:
- name: Adam
- beta1: 0.9
- beta2: 0.999
- lr:
- # name: Cosine
- learning_rate: 0.001
- # warmup_epoch: 0
- regularizer:
- name: 'L2'
- factor: 0
- PostProcess:
- name: EASTPostProcess
- score_thresh: 0.8
- cover_thresh: 0.1
- nms_thresh: 0.2
- 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
- - EASTProcessTrain:
- image_shape: [512, 512]
- background_ratio: 0.125
- min_crop_side_ratio: 0.1
- min_text_size: 10
- - KeepKeys:
- keep_keys: ['image', 'score_map', 'geo_map', 'training_mask'] # dataloader will return list in this order
- loader:
- shuffle: True
- drop_last: False
- batch_size_per_card: 8
- num_workers: 8
- 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:
- limit_side_len: 2400
- limit_type: max
- - 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: 2
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