DnnInvoke Class |
Namespace: Emgu.CV.Dnn
The DnnInvoke type exposes the following members.
| Name | Description | |
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| BlobFromImage(IInputArray, Double, Size, MCvScalar, Boolean, Boolean, DepthType) |
Creates 4-dimensional blob from image. Optionally resizes and crops image from center, subtract mean values, scales values by scalefactor, swap Blue and Red channels.
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| BlobFromImage(IInputArray, IOutputArray, Double, Size, MCvScalar, Boolean, Boolean, DepthType) |
Creates 4-dimensional blob from image. Optionally resizes and crops image from center, subtract mean values, scales values by scalefactor, swap Blue and Red channels.
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| BlobFromImages(Mat, Double, Size, MCvScalar, Boolean, Boolean, DepthType) |
Creates 4-dimensional blob from series of images. Optionally resizes and crops images from center, subtract mean values, scales values by scalefactor, swap Blue and Red channels.
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| BlobFromImages(IInputArrayOfArrays, IOutputArray, Double, Size, MCvScalar, Boolean, Boolean, DepthType) |
Creates 4-dimensional blob from series of images. Optionally resizes and crops images from center, subtract mean values, scales values by scale factor, swap Blue and Red channels.
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| GetAvailableBackends |
Get the list of available DNN Backends
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| ImagesFromBlob |
Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure (std::vector<cv::Mat>).
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| NMSBoxes(Rectangle, Single, Single, Single, Single, Int32) |
Performs non maximum suppression given boxes and corresponding scores.
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| NMSBoxes(VectorOfRect, VectorOfFloat, Single, Single, VectorOfInt, Single, Int32) |
Performs non maximum suppression given boxes and corresponding scores.
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| ReadNet |
Read deep learning network represented in one of the supported formats.
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| ReadNetFromCaffe(Byte, Byte) |
Reads a network model stored in Caffe framework's format.
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| ReadNetFromCaffe(String, String) |
Reads a network model stored in Caffe framework's format.
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| ReadNetFromDarknet(Byte, Byte) |
Reads a network model stored in Darknet model files.
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| ReadNetFromDarknet(String, String) |
Reads a network model stored in Darknet model files.
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| ReadNetFromModelOptimizer |
Load a network from Intel's Model Optimizer intermediate representation.
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| ReadNetFromONNX |
Reads a network model ONNX.
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| ReadNetFromTensorflow(Byte, Byte) |
Reads a network model stored in TensorFlow framework's format.
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| ReadNetFromTensorflow(String, String) |
Reads a network model stored in TensorFlow framework's format.
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| ReadTensorFromONNX |
Creates blob from .pb file.
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| ShrinkCaffeModel |
Convert all weights of Caffe network to half precision floating point
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| WriteTextGraph |
Create a text representation for a binary network stored in protocol buffer format.
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