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172 lines
3.2 KiB
172 lines
3.2 KiB
Global:
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model_name: PP-OCRv4_server_seal_det # To use static model for inference.
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debug: false
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use_gpu: true
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epoch_num: 100
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output
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save_epoch_step: 1
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eval_batch_step:
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- 0
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- 100
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cal_metric_during_train: false
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checkpoints:
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pretrained_model: https://paddleocr.bj.bcebos.com/pretrained/PPHGNet_small_ocr_det.pdparams
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save_inference_dir: null
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use_visualdl: false
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distributed: true
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d2s_train_image_shape: [3, 640, 640]
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Architecture:
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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: PPHGNet_small
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det: True
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Neck:
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name: LKPAN
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out_channels: 256
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intracl: true
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Head:
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name: PFHeadLocal
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k: 50
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mode: "large"
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Loss:
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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: 1e-6
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PostProcess:
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name: DBPostProcess
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thresh: 0.2
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box_thresh: 0.6
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max_candidates: 1000
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unclip_ratio: 0.5
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box_type: "poly"
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Metric:
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name: DetMetric
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main_indicator: hmean
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Train:
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dataset:
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name: TextDetDataset
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data_dir: datasets/ICDAR2015
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label_file_list:
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- datasets/ICDAR2015/train.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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- 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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- 640
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- 640
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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: 0.8
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thresh_min: 0.3
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thresh_max: 0.7
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total_epoch: 500
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- MakeShrinkMap:
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shrink_ratio: 0.8
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min_text_size: 8
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total_epoch: 500
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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: 4
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num_workers: 3
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Eval:
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dataset:
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name: TextDetDataset
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data_dir: datasets/ICDAR2015
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label_file_list:
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- datasets/ICDAR2015/val.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:
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resize_long: 736
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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: 0
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profiler_options: null
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