ENV:
  min_subgraph_size: 3
  shape_info_filename: ./
  trt_calib_mode: False
  cpu_threads: 1
  trt_use_static: False
  save_img: true
  save_res: true
  return_res: False

MODEL:
  - OcrDbDetOp:
      name: det
      param_path: paddlecv://models/ch_PP-OCRv3_det_infer/inference.pdiparams
      model_path: paddlecv://models/ch_PP-OCRv3_det_infer/inference.pdmodel
      batch_size: 1
      PreProcess:
        - DetResizeForTest:
            limit_side_len: 960
            limit_type: "max"
        - NormalizeImage:
            std: [ 0.229, 0.224, 0.225 ]
            mean: [ 0.485, 0.456, 0.406 ]
            scale: '1./255.'
            order: 'hwc'
        - ToCHWImage:
        - ExpandDim:
            axis: 0
        - KeepKeys:
            keep_keys: [ 'image', 'shape' ]
      PostProcess:
        - DBPostProcess:
            thresh: 0.3
            box_thresh: 0.6
            max_candidates: 1000
            unclip_ratio: 1.5
            use_dilation: False
            score_mode: "fast"
            box_type: "quad"
      Inputs:
        - input.image
  - PolyCropOp:
      name: crop
      Inputs:
        - input.image
        - det.dt_polys
  - OcrCrnnRecOp:
      name: rec
      param_path: paddlecv://models/ch_PP-OCRv3_rec_infer/inference.pdiparams
      model_path: paddlecv://models/ch_PP-OCRv3_rec_infer/inference.pdmodel
      batch_size: 6
      PreProcess:
        - ReisizeNormImg:
            rec_image_shape: [ 3, 48, 320 ]
      PostProcess:
        - CTCLabelDecode:
            character_dict_path: paddlecv://dict/ocr/ch_dict.txt
            use_space_char: true
      Inputs:
        - crop.crop_image
  - PPStructureKieSerOp:
      name: ser
      param_path: paddlecv://models/PP-Structure_ser_vi_layoutxlm_xfund_infer/inference.pdiparams
      model_path: paddlecv://models/PP-Structure_ser_vi_layoutxlm_xfund_infer/inference.pdmodel
      batch_size: 1
      use_visual_backbone: False
      PreProcess:
        - VQATokenLabelEncode:
            algorithm: LayoutXLM
            class_path: paddlecv://dict/ocr/class_list_xfun.txt
            contains_re: False
            order_method: tb-yx
        - VQATokenPad:
            max_seq_len: 512
            return_attention_mask: true
        - VQASerTokenChunk:
            max_seq_len: 512
            return_attention_mask: true
        - Resize:
            size: [224, 224]
        - NormalizeImage:
            scale: 1.
            mean: [123.675, 116.28, 103.53]
            std: [58.395, 57.12, 57.375]
            order: 'hwc'
        - ToCHWImage:
        - KeepKeys:
            keep_keys: [ 'input_ids', 'bbox', 'attention_mask', 'token_type_ids', 'image', 'labels', 'segment_offset_id', 'ocr_info', 'entities']
      PostProcess:
        - VQASerTokenLayoutLMPostProcess:
            class_path: paddlecv://dict/ocr/class_list_xfun.txt
      Inputs:
        - input.image
        - det.dt_polys
        - rec.rec_text
  - PPStructureSerOutput:
      name: vis
      font_path: paddlecv://fonts/simfang.ttf
      Inputs:
        - input.fn
        - input.image
        - ser.pred_id
        - ser.pred
        - ser.dt_polys
        - ser.rec_text