Struct opencv::wechat_qrcode::WeChatQRCode

pub struct WeChatQRCode { /* private fields */ }

• 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

impl WeChatQRCode

pub fn new( detector_prototxt_path: &str, detector_caffe_model_path: &str, super_resolution_prototxt_path: &str, super_resolution_caffe_model_path: &str ) -> Result<WeChatQRCode>

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: “”

pub fn new_def() -> Result<WeChatQRCode>

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

Note

This alternative version of [new] function uses the following default values for its arguments:

• detector_prototxt_path: “”
• detector_caffe_model_path: “”
• super_resolution_prototxt_path: “”
• super_resolution_caffe_model_path: “”

Trait Implementations

impl Boxed for WeChatQRCode

unsafe fn from_raw( ptr: <WeChatQRCode as OpenCVFromExtern>::ExternReceive ) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> <WeChatQRCode as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> <WeChatQRCode as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self ) -> <WeChatQRCode as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Debug for WeChatQRCode

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for WeChatQRCode

fn drop(&mut self)

Executes the destructor for this type.

impl WeChatQRCodeTrait for WeChatQRCode

fn as_raw_mut_WeChatQRCode(&mut self) -> *mut c_void

fn detect_and_decode( &mut self, img: &impl ToInputArray, points: &mut impl ToOutputArray ) -> Result<Vector<String>>

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode

fn detect_and_decode_def( &mut self, img: &impl ToInputArray ) -> Result<Vector<String>>

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode

fn set_scale_factor(&mut self, _scaling_factor: f32) -> Result<()>

set scale factor QR code detector use neural network to detect QR. Before running the neural network, the input image is pre-processed by scaling. By default, the input image is scaled to an image with an area of 160000 pixels. The scale factor allows to use custom scale the input image: width = scaleFactorwidth height = scaleFactorwidth

fn get_scale_factor(&mut self) -> Result<f32>

impl WeChatQRCodeTraitConst for WeChatQRCode

fn as_raw_WeChatQRCode(&self) -> *const c_void

impl Send for WeChatQRCode