CvDnn Class |
Namespace: OpenCvSharp.Dnn
The CvDnn type exposes the following members.
Name | Description | |
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BlobFromImage |
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.
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BlobFromImages |
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.
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NMSBoxes(IEnumerableRect, IEnumerableSingle, Single, Single, Int32, Single, Int32) |
Performs non maximum suppression given boxes and corresponding scores.
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NMSBoxes(IEnumerableRect2d, IEnumerableSingle, Single, Single, Int32, Single, Int32) |
Performs non maximum suppression given boxes and corresponding scores.
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NMSBoxes(IEnumerableRotatedRect, IEnumerableSingle, Single, Single, Int32, 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.
This function automatically detects an origin framework of trained model
and calls an appropriate function such @ref readNetFromCaffe, @ref readNetFromTensorflow,
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ReadNetFromCaffe |
Reads a network model stored in Caffe model files.
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ReadNetFromDarknet |
Reads a network model stored in Darknet (https://pjreddie.com/darknet/) model files.
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ReadNetFromTensorflow |
Reads a network model stored in Tensorflow model file.
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ReadNetFromTorch |
Reads a network model stored in Torch model file.
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ReadTensorFromONNX |
Creates blob from .pb file.
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ReadTorchBlob |
Loads blob which was serialized as torch.Tensor object of Torch7 framework.
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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.
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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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