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configs/det/ch_ppocr_v2.1/ch_det_lite_train_cml_v2.1.yml
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202
configs/det/ch_ppocr_v2.1/ch_det_lite_train_cml_v2.1.yml
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@ -0,0 +1,202 @@
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Global:
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use_gpu: true
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epoch_num: 1200
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log_smooth_window: 20
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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checkpoints:
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save_inference_dir:
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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: ./output/det_db/predicts_db.txt
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Architecture:
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name: DistillationModel
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algorithm: Distillation
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Models:
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Student:
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pretrained: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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freeze_params: false
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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: 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: DBFPN
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out_channels: 96
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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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pretrained: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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freeze_params: false
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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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Transform:
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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: DBFPN
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out_channels: 96
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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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pretrained: ./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
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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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Transform:
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Backbone:
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name: ResNet
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layers: 18
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Neck:
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name: DBFPN
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out_channels: 256
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Head:
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name: DBHead
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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: "softmax"
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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: 0
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PostProcess:
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name: DistillationDBPostProcess
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model_name: ["Student", "Student2"]
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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: # load image
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img_mode: BGR
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channel_first: False
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- DetLabelEncode: # Class handling label
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- IaaAugment:
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augmenter_args:
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- { 'type': Fliplr, 'args': { 'p': 0.5 } }
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- { 'type': Affine, 'args': { 'rotate': [-10, 10] } }
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- { 'type': Resize, 'args': { 'size': [0.5, 3] } }
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- EastRandomCropData:
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size: [960, 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: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: 'hwc'
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- ToCHWImage:
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- KeepKeys:
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keep_keys: ['image', 'threshold_map', 'threshold_mask', 'shrink_map', 'shrink_mask'] # the order of the dataloader list
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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: # load image
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img_mode: BGR
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channel_first: False
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- DetLabelEncode: # Class handling label
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- DetResizeForTest:
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# image_shape: [736, 1280]
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- NormalizeImage:
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scale: 1./255.
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: 'hwc'
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- ToCHWImage:
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- KeepKeys:
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keep_keys: ['image', 'shape', 'polys', '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 # must be 1
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num_workers: 2
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@ -36,24 +36,6 @@ Architecture:
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Head:
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Head:
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name: DBHead
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name: DBHead
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k: 50
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k: 50
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Student2:
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pretrained: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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freeze_params: false
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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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Transform:
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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: DBFPN
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out_channels: 96
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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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Teacher:
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pretrained: ./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
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pretrained: ./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy
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freeze_params: true
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freeze_params: true
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@ -78,24 +60,15 @@ Loss:
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weight: 1.0
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weight: 1.0
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model_name_pairs:
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model_name_pairs:
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- ["Student", "Teacher"]
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- ["Student", "Teacher"]
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- ["Student2", "Teacher"]
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key: maps
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key: maps
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balance_loss: true
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balance_loss: true
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main_loss_type: DiceLoss
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main_loss_type: DiceLoss
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alpha: 5
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alpha: 5
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beta: 10
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beta: 10
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ohem_ratio: 3
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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: "softmax"
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model_name_pairs: ["Student", "Student2"]
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key: maps
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- DistillationDBLoss:
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- DistillationDBLoss:
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weight: 1.0
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weight: 1.0
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model_name_list: ["Student", "Student2"]
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model_name_list: ["Student", "Teacher"]
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# key: maps
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# key: maps
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name: DBLoss
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name: DBLoss
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balance_loss: true
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balance_loss: true
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@ -104,7 +77,6 @@ Loss:
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beta: 10
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beta: 10
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ohem_ratio: 3
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ohem_ratio: 3
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Optimizer:
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Optimizer:
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name: Adam
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name: Adam
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beta1: 0.9
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beta1: 0.9
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176
configs/det/ch_ppocr_v2.1/ch_det_lite_train_dml_v2.1.yml
Normal file
176
configs/det/ch_ppocr_v2.1/ch_det_lite_train_dml_v2.1.yml
Normal file
@ -0,0 +1,176 @@
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|||||||
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Global:
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use_gpu: true
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epoch_num: 1200
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log_smooth_window: 20
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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checkpoints:
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save_inference_dir:
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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: ./output/det_db/predicts_db.txt
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Architecture:
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name: DistillationModel
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algorithm: Distillation
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Models:
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Student:
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pretrained: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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freeze_params: false
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||||||
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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: MobileNetV3
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scale: 0.5
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||||||
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model_name: large
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||||||
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disable_se: True
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||||||
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Neck:
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name: DBFPN
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out_channels: 96
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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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pretrained: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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freeze_params: false
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||||||
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return_all_feats: false
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||||||
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model_type: det
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||||||
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algorithm: DB
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||||||
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Transform:
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||||||
|
Backbone:
|
||||||
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name: MobileNetV3
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||||||
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scale: 0.5
|
||||||
|
model_name: large
|
||||||
|
disable_se: True
|
||||||
|
Neck:
|
||||||
|
name: DBFPN
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||||||
|
out_channels: 96
|
||||||
|
Head:
|
||||||
|
name: DBHead
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||||||
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k: 50
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||||||
|
|
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|
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Loss:
|
||||||
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name: CombinedLoss
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||||||
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loss_config_list:
|
||||||
|
- DistillationDMLLoss:
|
||||||
|
model_name_pairs:
|
||||||
|
- ["Student", "Student2"]
|
||||||
|
maps_name: "thrink_maps"
|
||||||
|
weight: 1.0
|
||||||
|
act: "softmax"
|
||||||
|
model_name_pairs: ["Student", "Student2"]
|
||||||
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key: maps
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||||||
|
- DistillationDBLoss:
|
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weight: 1.0
|
||||||
|
model_name_list: ["Student", "Student2"]
|
||||||
|
# key: maps
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||||||
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name: DBLoss
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||||||
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balance_loss: true
|
||||||
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main_loss_type: DiceLoss
|
||||||
|
alpha: 5
|
||||||
|
beta: 10
|
||||||
|
ohem_ratio: 3
|
||||||
|
|
||||||
|
|
||||||
|
Optimizer:
|
||||||
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name: Adam
|
||||||
|
beta1: 0.9
|
||||||
|
beta2: 0.999
|
||||||
|
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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||||||
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regularizer:
|
||||||
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name: 'L2'
|
||||||
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factor: 0
|
||||||
|
|
||||||
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PostProcess:
|
||||||
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name: DistillationDBPostProcess
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||||||
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model_name: ["Student", "Student2"]
|
||||||
|
key: head_out
|
||||||
|
thresh: 0.3
|
||||||
|
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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||||||
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name: DistillationMetric
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||||||
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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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||||||
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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
|
||||||
|
ratio_list: [1.0]
|
||||||
|
transforms:
|
||||||
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- DecodeImage: # load image
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||||||
|
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:
|
||||||
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size: [960, 960]
|
||||||
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max_tries: 50
|
||||||
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keep_ratio: true
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||||||
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- MakeBorderMap:
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||||||
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shrink_ratio: 0.4
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||||||
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thresh_min: 0.3
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||||||
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thresh_max: 0.7
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- MakeShrinkMap:
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||||||
|
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: 8
|
||||||
|
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: 2
|
||||||
Loading…
x
Reference in New Issue
Block a user