Struct opencv::wechat_qrcode::WeChatQRCode [−][src]
pub struct WeChatQRCode { /* fields omitted */ }Expand description
- WeChat QRCode includes two CNN-based models:
- A object detection model and a super resolution model.
- Object detection model is applied to detect QRCode with the bounding box.
- super resolution model is applied to zoom in QRCode when it is small.
Implementations
Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
Parameters
- detector_prototxt_path: prototxt file path for the detector
- detector_caffe_model_path: caffe model file path for the detector
- super_resolution_prototxt_path: prototxt file path for the super resolution model
- super_resolution_caffe_model_path: caffe file path for the super resolution model
C++ default parameters
- detector_prototxt_path: “”
- detector_caffe_model_path: “”
- super_resolution_prototxt_path: “”
- super_resolution_caffe_model_path: “”
Trait Implementations
fn detect_and_decode(
&mut self,
img: &dyn ToInputArray,
points: &mut dyn ToOutputArray
) -> Result<Vector<String>>
fn detect_and_decode(
&mut self,
img: &dyn ToInputArray,
points: &mut dyn ToOutputArray
) -> Result<Vector<String>>
Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode Read more