文本检测检测模型转成推理模型后识别结果不准确，求大神指教

使用命令：
训练：tools/train.py -c ./configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml
评估：tools/eval.py -c ./configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o Global.checkpoints=./output/1-fapiao_putong_ch_PP-OCR_V3_det/best_accuracy.pdparams
预测：tools/infer_det.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o Global.infer_img=./train_data/wenbenjiance_test Global.checkpoints=./output/1-fapiao_putong_ch_PP-OCR_V3_det/best_accuracy.pdparams
预测结果正常：
![输入图片说明](https://foruda.gitee.com/images/1719796677228976631/dbfbeea7_13255200.png "屏幕截图")

转推理模型：tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o Global.checkpoints=./output/1-fapiao_putong_ch_PP-OCR_V3_det/best_accuracy  Global.save_inference_dir=./output/fapiao_putong_ch_PP-OCR_v3_det_inferer

推理模型预测：tools/infer/predict_det.py --image_dir=./train_data/wenbenjiance_test --det_model_dir=./output/fapiao_putong_ch_PP-OCR_v3_det_inferer
![输入图片说明](https://foruda.gitee.com/images/1719796787269654903/24dfbd13_13255200.png "屏幕截图")

配置文件ch_PP-OCRv3_det_student.yml
Global:
  debug: false
  use_gpu: true
  epoch_num: 500
  log_smooth_window: 20
  print_batch_step: 10
  save_model_dir: ./output/fapiao_putong_ch_PP-OCR_V3_det/
  save_epoch_step: 100
  eval_batch_step:
  - 0
  - 500
  cal_metric_during_train: false
  pretrained_model: ./pretrained_model/ch_PP-OCRv3_det_distill_train/student.pdparams
  checkpoints: null
  save_inference_dir: null
  use_visualdl: false
  infer_img: doc/imgs_en/img_10.jpg
  save_res_path: ./output/fapiao_putong_checkpoints/det_db/predicts_db.txt
  distributed: true

Architecture:
  model_type: det
  algorithm: DB
  Transform:
  Backbone:
    name: MobileNetV3
    scale: 0.5
    model_name: large
    disable_se: True
  Neck:
    name: RSEFPN
    out_channels: 96
    shortcut: True
  Head:
    name: DBHead
    k: 50

Loss:
  name: DBLoss
  balance_loss: true
  main_loss_type: DiceLoss
  alpha: 5
  beta: 10
  ohem_ratio: 3
Optimizer:
  name: Adam
  beta1: 0.9
  beta2: 0.999
  lr:
    name: Cosine
    learning_rate: 0.00005
    warmup_epoch: 2
  regularizer:
    name: L2
    factor: 5.0e-05
PostProcess:
  name: DBPostProcess
  thresh: 0.3
  box_thresh: 0.6
  max_candidates: 1000
  unclip_ratio: 1.5
Metric:
  name: DetMetric
  main_indicator: hmean
Train:
  dataset:
    name: SimpleDataSet
    data_dir: ./train_data/wenbenjiance/imgs
    label_file_list:
      - ./train_data/wenbenjiance/train.txt
    ratio_list: [1.0]
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - DetLabelEncode: null
    - IaaAugment:
        augmenter_args:
        - type: Fliplr
          args:
            p: 0.5
        - type: Affine
          args:
            rotate:
            - -10
            - 10
        - type: Resize
          args:
            size:
            - 0.5
            - 3
    - EastRandomCropData:
        size:
        - 960
        - 960
        max_tries: 50
        keep_ratio: true
    - MakeBorderMap:
        shrink_ratio: 0.4
        thresh_min: 0.3
        thresh_max: 0.7
    - MakeShrinkMap:
        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: null
    - KeepKeys:
        keep_keys:
        - image
        - threshold_map
        - threshold_mask
        - shrink_map
        - shrink_mask
  loader:
    shuffle: true
    drop_last: false
    batch_size_per_card: 4
    num_workers: 0
Eval:
  dataset:
    name: SimpleDataSet
    data_dir: ./train_data/wenbenjiance/imgs
    label_file_list:
      - ./train_data/wenbenjiance/val.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - DetLabelEncode: null
    - DetResizeForTest: null
    - NormalizeImage:
        scale: 1./255.
        mean:
        - 0.485
        - 0.456
        - 0.406
        std:
        - 0.229
        - 0.224
        - 0.225
        order: hwc
    - ToCHWImage: null
    - KeepKeys:
        keep_keys:
        - image
        - shape
        - polys
        - ignore_tags
  loader:
    shuffle: false
    drop_last: false
    batch_size_per_card: 1
    num_workers: 0

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