Class TextDetectionModel_DB


  • public class TextDetectionModel_DB
    extends TextDetectionModel
    This class represents high-level API for text detection DL networks compatible with DB model. Related publications: CITE: liao2020real Paper: https://arxiv.org/abs/1911.08947 For more information about the hyper-parameters setting, please refer to https://github.com/MhLiao/DB Configurable parameters: - (float) binaryThreshold - The threshold of the binary map. It is usually set to 0.3. - (float) polygonThreshold - The threshold of text polygons. It is usually set to 0.5, 0.6, and 0.7. Default is 0.5f - (double) unclipRatio - The unclip ratio of the detected text region, which determines the output size. It is usually set to 2.0. - (int) maxCandidates - The max number of the output results.
    • Constructor Detail

      • TextDetectionModel_DB

        protected TextDetectionModel_DB​(long addr)
      • TextDetectionModel_DB

        public TextDetectionModel_DB​(Net network)
        Create text detection algorithm from deep learning network.
        Parameters:
        network - Net object.
      • TextDetectionModel_DB

        public TextDetectionModel_DB​(String model,
                                     String config)
        Create text detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.
        Parameters:
        model - Binary file contains trained weights.
        config - Text file contains network configuration.
      • TextDetectionModel_DB

        public TextDetectionModel_DB​(String model)
        Create text detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.
        Parameters:
        model - Binary file contains trained weights.