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- Global:
- use_gpu: true
- epoch_num: 5000
- log_smooth_window: 20
- print_batch_step: 2
- save_model_dir: ./output/sast_r50_vd_ic15/
- save_epoch_step: 1000
- # evaluation is run every 5000 iterations after the 4000th iteration
- eval_batch_step: [4000, 5000]
- # if pretrained_model is saved in static mode, load_static_weights must set to True
- load_static_weights: True
- cal_metric_during_train: False
- pretrained_model: ./pretrain_models/ResNet50_vd_ssld_pretrained/
- checkpoints:
- save_inference_dir:
- use_visualdl: False
- infer_img:
- save_res_path: ./output/sast_r50_vd_ic15/predicts_sast.txt
- Architecture:
- model_type: det
- algorithm: SAST
- Transform:
- Backbone:
- name: ResNet_SAST
- layers: 50
- Neck:
- name: SASTFPN
- with_cab: True
- Head:
- name: SASTHead
- Loss:
- name: SASTLoss
-
- 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: SASTPostProcess
- score_thresh: 0.5
- sample_pts_num: 2
- nms_thresh: 0.2
- expand_scale: 1.0
- shrink_ratio_of_width: 0.3
- Metric:
- name: DetMetric
- main_indicator: hmean
- Train:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data/
- label_file_list: [./train_data/icdar2013/train_label_json.txt, ./train_data/icdar2015/train_label_json.txt, ./train_data/icdar17_mlt_latin/train_label_json.txt, ./train_data/coco_text_icdar_4pts/train_label_json.txt]
- ratio_list: [0.1, 0.45, 0.3, 0.15]
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - DetLabelEncode: # Class handling label
- - SASTProcessTrain:
- image_shape: [512, 512]
- min_crop_side_ratio: 0.3
- min_crop_size: 24
- min_text_size: 4
- max_text_size: 512
- - KeepKeys:
- keep_keys: ['image', 'score_map', 'border_map', 'training_mask', 'tvo_map', 'tco_map'] # dataloader will return list in this order
- loader:
- shuffle: True
- drop_last: False
- batch_size_per_card: 4
- 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:
- resize_long: 1536
- - 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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