Trait opencv::hub_prelude::TextDetectorCNN

source · [−]
pub trait TextDetectorCNN: TextDetector + TextDetectorCNNConst {
    fn as_raw_mut_TextDetectorCNN(&mut self) -> *mut c_void;

    fn detect(
        &mut self,
        input_image: &dyn ToInputArray,
        bbox: &mut Vector<Rect>,
        confidence: &mut Vector<f32>
    ) -> Result<()> { ... }
}

Required Methods

Provided Methods

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters
  • inputImage: an image expected to be a CV_U8C3 of any size
  • Bbox: a vector of Rect that will store the detected word bounding box
  • confidence: a vector of float that will be updated with the confidence the classifier has for the selected bounding box

Implementations

source

impl dyn TextDetectorCNN + '_

Creates an instance of the TextDetectorCNN class using the provided parameters.

Parameters
  • modelArchFilename: the relative or absolute path to the prototxt file describing the classifiers architecture.
  • modelWeightsFilename: the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
  • detectionSizes: a list of sizes for multiscale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended in LiaoSBWL17 to achieve the best quality.

Creates an instance of the TextDetectorCNN class using the provided parameters.

Parameters
  • modelArchFilename: the relative or absolute path to the prototxt file describing the classifiers architecture.
  • modelWeightsFilename: the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
  • detectionSizes: a list of sizes for multiscale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended in LiaoSBWL17 to achieve the best quality.
Overloaded parameters

Implementors