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