235 lines
4.7 KiB
YAML
235 lines
4.7 KiB
YAML
Global:
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debug: false
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use_gpu: true
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epoch_num: 500
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./output/ch_PP-OCR_v3_det/
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save_epoch_step: 100
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eval_batch_step:
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- 0
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- 400
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cal_metric_during_train: false
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pretrained_model: null
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checkpoints: null
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save_inference_dir: null
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use_visualdl: false
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infer_img: doc/imgs_en/img_10.jpg
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save_res_path: ./checkpoints/det_db/predicts_db.txt
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distributed: true
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Architecture:
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name: DistillationModel
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algorithm: Distillation
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model_type: det
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Models:
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Student:
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model_type: det
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algorithm: DB
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Transform: null
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Backbone:
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name: MobileNetV3
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scale: 0.5
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model_name: large
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disable_se: true
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Neck:
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name: RSEFPN
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out_channels: 96
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shortcut: True
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Head:
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name: DBHead
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k: 50
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Student2:
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model_type: det
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algorithm: DB
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Transform: null
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Backbone:
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name: MobileNetV3
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scale: 0.5
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model_name: large
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disable_se: true
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Neck:
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name: RSEFPN
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out_channels: 96
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shortcut: True
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Head:
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name: DBHead
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k: 50
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Teacher:
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freeze_params: true
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return_all_feats: false
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model_type: det
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algorithm: DB
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Backbone:
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name: ResNet
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in_channels: 3
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layers: 50
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Neck:
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name: LKPAN
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out_channels: 256
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Head:
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name: DBHead
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kernel_list: [7,2,2]
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k: 50
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Loss:
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name: CombinedLoss
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loss_config_list:
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- DistillationDilaDBLoss:
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weight: 1.0
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model_name_pairs:
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- ["Student", "Teacher"]
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- ["Student2", "Teacher"]
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key: maps
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balance_loss: true
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main_loss_type: DiceLoss
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alpha: 5
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beta: 10
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ohem_ratio: 3
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- DistillationDMLLoss:
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model_name_pairs:
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- ["Student", "Student2"]
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maps_name: "thrink_maps"
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weight: 1.0
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# act: None
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model_name_pairs: ["Student", "Student2"]
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key: maps
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- DistillationDBLoss:
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weight: 1.0
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model_name_list: ["Student", "Student2"]
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# key: maps
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# name: DBLoss
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balance_loss: true
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main_loss_type: DiceLoss
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alpha: 5
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beta: 10
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ohem_ratio: 3
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Optimizer:
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name: Adam
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beta1: 0.9
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beta2: 0.999
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lr:
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name: Cosine
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learning_rate: 0.001
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warmup_epoch: 2
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regularizer:
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name: L2
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factor: 5.0e-05
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PostProcess:
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name: DistillationDBPostProcess
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model_name: ["Student"]
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key: head_out
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thresh: 0.3
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box_thresh: 0.6
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max_candidates: 1000
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unclip_ratio: 1.5
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Metric:
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name: DistillationMetric
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base_metric_name: DetMetric
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main_indicator: hmean
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key: "Student"
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Train:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/icdar2015/text_localization/
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label_file_list:
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- ./train_data/icdar2015/text_localization/train_icdar2015_label.txt
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ratio_list: [1.0]
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- DetLabelEncode: null
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- CopyPaste:
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- IaaAugment:
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augmenter_args:
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- type: Fliplr
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args:
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p: 0.5
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- type: Affine
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args:
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rotate:
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- -10
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- 10
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- type: Resize
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args:
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size:
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- 0.5
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- 3
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- EastRandomCropData:
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size:
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- 960
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- 960
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max_tries: 50
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keep_ratio: true
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- MakeBorderMap:
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shrink_ratio: 0.4
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thresh_min: 0.3
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thresh_max: 0.7
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- MakeShrinkMap:
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shrink_ratio: 0.4
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min_text_size: 8
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.485
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- 0.456
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- 0.406
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std:
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- 0.229
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- 0.224
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- 0.225
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- threshold_map
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- threshold_mask
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- shrink_map
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- shrink_mask
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loader:
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shuffle: true
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drop_last: false
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batch_size_per_card: 8
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num_workers: 4
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Eval:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/icdar2015/text_localization/
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label_file_list:
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- ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- DetLabelEncode: null
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- DetResizeForTest: null
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.485
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- 0.456
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- 0.406
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std:
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- 0.229
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- 0.224
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- 0.225
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- shape
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- polys
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- ignore_tags
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loader:
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shuffle: false
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drop_last: false
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batch_size_per_card: 1
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num_workers: 2
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