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Remove cv::dnn::Importer
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@@ -58,7 +58,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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You can use both API, but factory API is less convinient for native C++ programming and basically designed for use inside importers (see @ref readNetFromCaffe(), @ref readNetFromTorch(), @ref readNetFromTensorflow()).
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Bult-in layers partially reproduce functionality of corresponding Caffe and Torch7 layers.
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In partuclar, the following layers and Caffe @ref Importer were tested to reproduce <a href="http://caffe.berkeleyvision.org/tutorial/layers.html">Caffe</a> functionality:
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In partuclar, the following layers and Caffe importer were tested to reproduce <a href="http://caffe.berkeleyvision.org/tutorial/layers.html">Caffe</a> functionality:
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- Convolution
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- Deconvolution
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- Pooling
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@@ -426,15 +426,6 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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void forward(std::vector<std::vector<Mat> >& outputBlobs,
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const std::vector<String>& outBlobNames);
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//TODO:
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/** @brief Optimized forward.
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* @warning Not implemented yet.
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* @details Makes forward only those layers which weren't changed after previous forward().
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*/
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void forwardOpt(LayerId toLayer);
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/** @overload */
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void forwardOpt(const std::vector<LayerId> &toLayers);
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/**
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* @brief Compile Halide layers.
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* @param[in] scheduler Path to YAML file with scheduling directives.
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@@ -609,38 +600,18 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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Ptr<Impl> impl;
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};
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/**
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* @deprecated Deprecated as external interface. Will be for internal needs only.
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* @brief Small interface class for loading trained serialized models of different dnn-frameworks. */
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class CV_EXPORTS_W Importer : public Algorithm
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{
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public:
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/** @brief Adds loaded layers into the @p net and sets connections between them. */
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CV_DEPRECATED CV_WRAP virtual void populateNet(Net net) = 0;
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virtual ~Importer();
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};
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/** @brief Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
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* @param cfgFile path to the .cfg file with text description of the network architecture.
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* @param darknetModel path to the .weights file with learned network.
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* @returns Network object that ready to do forward, throw an exception in failure cases.
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* @details This is shortcut consisting from DarknetImporter and Net::populateNet calls.
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* @returns Net object.
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*/
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CV_EXPORTS_W Net readNetFromDarknet(const String &cfgFile, const String &darknetModel = String());
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/**
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* @deprecated Use @ref readNetFromCaffe instead.
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* @brief Creates the importer of <a href="http://caffe.berkeleyvision.org">Caffe</a> framework network.
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* @param prototxt path to the .prototxt file with text description of the network architecture.
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* @param caffeModel path to the .caffemodel file with learned network.
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* @returns Pointer to the created importer, NULL in failure cases.
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*/
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CV_DEPRECATED CV_EXPORTS_W Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel = String());
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/** @brief Reads a network model stored in Caffe model files.
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* @details This is shortcut consisting from createCaffeImporter and Net::populateNet calls.
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/** @brief Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.
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* @param prototxt path to the .prototxt file with text description of the network architecture.
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* @param caffeModel path to the .caffemodel file with learned network.
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* @returns Net object.
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*/
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CV_EXPORTS_W Net readNetFromCaffe(const String &prototxt, const String &caffeModel = String());
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@@ -651,16 +622,21 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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* @param lenProto length of bufferProto
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* @param bufferModel buffer containing the content of the .caffemodel file
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* @param lenModel length of bufferModel
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* @returns Net object.
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*/
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CV_EXPORTS Net readNetFromCaffe(const char *bufferProto, size_t lenProto,
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const char *bufferModel = NULL, size_t lenModel = 0);
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/** @brief Reads a network model stored in Tensorflow model file.
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* @details This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.
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/** @brief Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.
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* @param model path to the .pb file with binary protobuf description of the network architecture
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* @param config path to the .pbtxt file that contains text graph definition in protobuf format.
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* Resulting Net object is built by text graph using weights from a binary one that
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* let us make it more flexible.
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* @returns Net object.
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*/
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CV_EXPORTS_W Net readNetFromTensorflow(const String &model, const String &config = String());
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/** @brief Reads a network model stored in Tensorflow model in memory.
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/** @brief Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.
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* @details This is an overloaded member function, provided for convenience.
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* It differs from the above function only in what argument(s) it accepts.
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* @param bufferModel buffer containing the content of the pb file
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@@ -671,27 +647,11 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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CV_EXPORTS Net readNetFromTensorflow(const char *bufferModel, size_t lenModel,
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const char *bufferConfig = NULL, size_t lenConfig = 0);
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/** @brief Reads a network model stored in Torch model file.
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* @details This is shortcut consisting from createTorchImporter and Net::populateNet calls.
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*/
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CV_EXPORTS_W Net readNetFromTorch(const String &model, bool isBinary = true);
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/**
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* @deprecated Use @ref readNetFromTensorflow instead.
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* @brief Creates the importer of <a href="http://www.tensorflow.org">TensorFlow</a> framework network.
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* @param model path to the .pb file with binary protobuf description of the network architecture.
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* @returns Pointer to the created importer, NULL in failure cases.
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*/
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CV_DEPRECATED CV_EXPORTS_W Ptr<Importer> createTensorflowImporter(const String &model);
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/**
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* @deprecated Use @ref readNetFromTorch instead.
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* @brief Creates the importer of <a href="http://torch.ch">Torch7</a> framework network.
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* @param filename path to the file, dumped from Torch by using torch.save() function.
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* @brief Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.
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* @param model path to the file, dumped from Torch by using torch.save() function.
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* @param isBinary specifies whether the network was serialized in ascii mode or binary.
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* @returns Pointer to the created importer, NULL in failure cases.
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*
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* @warning Torch7 importer is experimental now, you need explicitly set CMake `opencv_dnn_BUILD_TORCH_IMPORTER` flag to compile its.
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* @returns Net object.
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*
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* @note Ascii mode of Torch serializer is more preferable, because binary mode extensively use `long` type of C language,
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* which has various bit-length on different systems.
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@@ -712,10 +672,10 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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*
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* Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.
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*/
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CV_DEPRECATED CV_EXPORTS_W Ptr<Importer> createTorchImporter(const String &filename, bool isBinary = true);
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CV_EXPORTS_W Net readNetFromTorch(const String &model, bool isBinary = true);
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/** @brief Loads blob which was serialized as torch.Tensor object of Torch7 framework.
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* @warning This function has the same limitations as createTorchImporter().
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* @warning This function has the same limitations as readNetFromTorch().
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*/
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CV_EXPORTS_W Mat readTorchBlob(const String &filename, bool isBinary = true);
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/** @brief Creates 4-dimensional blob from image. Optionally resizes and crops @p image from center,
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