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OpenCV
3.1.0
Open Source Computer Vision
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Modules | |
Utilities for new layers registration | |
Classes | |
class | cv::dnn::Blob |
This class provides methods for continuous n-dimensional CPU and GPU array processing. More... | |
struct | cv::dnn::BlobShape |
Lightweight class for storing and processing a shape of blob (or anything else). More... | |
class | cv::dnn::Dict |
This class implements name-value dictionary, values are instances of DictValue. More... | |
struct | cv::dnn::DictValue |
This struct stores the scalar value (or array) of one of the following type: double, cv::String or int64. More... | |
class | cv::dnn::Importer |
Small interface class for loading trained serialized models of different dnn-frameworks. More... | |
struct | cv::dnn::Layer |
This interface class allows to build new Layers - are building blocks of networks. More... | |
struct | cv::dnn::LayerParams |
This class provides all data needed to initialize layer. More... | |
class | cv::dnn::Net |
This class allows to create and manipulate comprehensive artificial neural networks. More... | |
Functions | |
Ptr< Importer > | cv::dnn::createCaffeImporter (const String &prototxt, const String &caffeModel=String()) |
Creates the importer of Caffe framework network. More... | |
Ptr< Importer > | cv::dnn::createTorchImporter (const String &filename, bool isBinary=true) |
Creates the importer of Torch7 framework network. More... | |
void | cv::dnn::initModule () |
Initialize dnn module and built-in layers. More... | |
Blob | cv::dnn::readTorchBlob (const String &filename, bool isBinary=true) |
Loads blob which was serialized as torch.Tensor object of Torch7 framework. More... | |
This module contains:
Functionality of this module is designed only for forward pass computations (i. e. network testing). A network training is in principle not supported.
Ptr<Importer> cv::dnn::createCaffeImporter | ( | const String & | prototxt, |
const String & | caffeModel = String() |
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Creates the importer of Caffe framework network.
prototxt | path to the .prototxt file with text description of the network architecture. |
caffeModel | path to the .caffemodel file with learned network. |
Creates the importer of Torch7 framework network.
filename | path to the file, dumped from Torch by using torch.save() function. |
isBinary | specifies whether the network was serialized in ascii mode or binary. |
The loading file must contain serialized nn.Module object with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
List of supported layers (i.e. object instances derived from Torch nn.Module class):
Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.
void cv::dnn::initModule | ( | ) |
Initialize dnn module and built-in layers.
This function automatically called on most of OpenCV builds, but you need to call it manually on some specific configurations (iOS for example).
Loads blob which was serialized as torch.Tensor object of Torch7 framework.