PP-OCRv2.yml

ENV:
  min_subgraph_size: 3
  trt_calib_mode: False
  cpu_threads: 1
  trt_use_static: False
  save_img: True
  save_res: True
  return_res: True

MODEL:
  - OcrDbDetOp:
      name: det
      param_path: paddlecv://models/ch_PP-OCRv2_det_infer/inference.pdiparams
      model_path: paddlecv://models/ch_PP-OCRv2_det_infer/inference.pdmodel
      batch_size: 1
      PreProcess:
        - RGB2BGR:
        - 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-OCRv2_rec_infer/inference.pdiparams
      model_path: paddlecv://models/ch_PP-OCRv2_rec_infer/inference.pdmodel
      batch_size: 6
      PreProcess:
        - RGB2BGR:
        - ReisizeNormImg:
            rec_image_shape: [3, 32, 320]
      PostProcess:
        - CTCLabelDecode:
            character_dict_path: "paddlecv://dict/ocr/ch_dict.txt"
            use_space_char: true
      Inputs:
        - crop.crop_image
  - OCROutput:
      name: vis
      font_path: paddlecv://fonts/simfang.ttf
      Inputs:
        - input.fn
        - input.image
        - det.dt_polys
        - rec.rec_text
        - rec.rec_score