Class Cv2.Dnn
- Namespace
- OpenCvSharp
- Assembly
- OpenCvSharp.dll
cv::dnn functions
public static class Cv2.Dnn- Inheritance
-
Cv2.Dnn
- Inherited Members
Methods
- BlobFromImage(Mat, double, Size, Scalar, bool, bool)
Creates 4-dimensional blob from image. Optionally resizes and crops @p image from center, subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.
- BlobFromImageWithParams(InputArray, Image2BlobParams?)
Creates 4-dimensional blob from image with given params. This function is an extension of BlobFromImage(Mat, double, Size, Scalar, bool, bool) to meet more image preprocess needs.
- BlobFromImages(IEnumerable<Mat>, double, Size, Scalar, bool, bool)
Creates 4-dimensional blob from series of images. Optionally resizes and crops @p images from center, subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.
- BlobFromImagesWithParams(IEnumerable<Mat>, Image2BlobParams?)
Creates 4-dimensional blob from series of images with given params.
- EnableModelDiagnostics(bool)
Enables detailed logging of the DNN model loading with CV DNN API. Diagnostic mode provides detailed logging of the model loading stage to explore potential problems (ex.: not implemented layer type).
- GetAvailableBackends()
Returns the list of available (backend, target) pairs supported by this build.
- GetAvailableTargets(Backend)
Returns the list of available computation targets for the given backend.
- ImagesFromBlob(Mat)
Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure (std::vector<cv::Mat>).
- NMSBoxes(IEnumerable<Rect2d>, IEnumerable<float>, float, float, out int[], float, int)
Performs non maximum suppression given boxes and corresponding scores.
- NMSBoxes(IEnumerable<Rect>, IEnumerable<float>, float, float, out int[], float, int)
Performs non maximum suppression given boxes and corresponding scores.
- NMSBoxes(IEnumerable<RotatedRect>, IEnumerable<float>, float, float, out int[], float, int)
Performs non maximum suppression given boxes and corresponding scores.
- NMSBoxesBatched(IEnumerable<Rect2d>, IEnumerable<float>, IEnumerable<int>, float, float, out int[], float, int)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
- NMSBoxesBatched(IEnumerable<Rect>, IEnumerable<float>, IEnumerable<int>, float, float, out int[], float, int)
Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
- ReadNet(string, string, string, EngineType)
Read deep learning network represented in one of the supported formats.
This function automatically detects an origin framework of trained model and calls an appropriate function such @ref readNetFromTensorflow, @ref readNetFromONNX, or @ref readNetFromModelOptimizer. The Caffe, Darknet and Torch parsers were removed in OpenCV 5.
- ReadNetFromONNX(byte[], EngineType)
Reads a network model ONNX https://onnx.ai/ from memory
- ReadNetFromONNX(Stream, EngineType)
Reads a network model ONNX https://onnx.ai/ from stream.
- ReadNetFromONNX(ReadOnlySpan<byte>, EngineType)
Reads a network model ONNX https://onnx.ai/ from memory
- ReadNetFromONNX(string, EngineType)
Reads a network model ONNX https://onnx.ai/ from memory
- ReadNetFromTFLite(byte[], EngineType)
Reads a network model stored in TFLite framework's format from memory.
- ReadNetFromTFLite(Stream, EngineType)
Reads a network model stored in TFLite framework's format from stream.
- ReadNetFromTFLite(ReadOnlySpan<byte>, EngineType)
Reads a network model stored in TFLite framework's format from memory.
- ReadNetFromTFLite(string, EngineType)
Reads a network model stored in TFLite (https://www.tensorflow.org/lite) framework's format.
- ReadNetFromTensorflow(byte[], byte[]?, EngineType)
Reads a network model stored in Tensorflow model file from memory.
- ReadNetFromTensorflow(Stream, Stream?, EngineType)
Reads a network model stored in Tensorflow model file from stream.
- ReadNetFromTensorflow(string, string?, EngineType)
Reads a network model stored in Tensorflow model file.
- ReadTensorFromONNX(string)
Creates blob from .pb file.
- ResetMyriadDevice()
Release a Myriad device is binded by OpenCV.
Single Myriad device cannot be shared across multiple processes which uses Inference Engine's Myriad plugin.
- SoftNMSBoxes(IEnumerable<Rect>, IEnumerable<float>, out float[], float, float, out int[], int, float, SoftNMSMethod)
Performs soft non maximum suppression given boxes and corresponding scores. Reference: https://arxiv.org/abs/1704.04503
- WriteTextGraph(string, string)
Create a text representation for a binary network stored in protocol buffer format.