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fix ONNXImporter diagnostic mode layer registration issue * fix layer registration, thread unsafe access and align the behavior of DNN_DIAGNOSTICS_RUN between onnx and tf importers * move skipModelInput * print all missing layers * address TF issue
30 lines
801 B
C++
30 lines
801 B
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef OPENCV_DNN_LAYER_REG_HPP
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#define OPENCV_DNN_LAYER_REG_HPP
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#include <opencv2/dnn.hpp>
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namespace cv {
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namespace dnn {
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CV__DNN_INLINE_NS_BEGIN
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//! @addtogroup dnn
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//! @{
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typedef std::map<std::string, std::vector<LayerFactory::Constructor> > LayerFactory_Impl;
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//! Register layer types of DNN model.
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//!
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//! @note In order to thread-safely access the factory, see getLayerFactoryMutex() function.
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LayerFactory_Impl& getLayerFactoryImpl();
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//! Get the mutex guarding @ref LayerFactory_Impl, see getLayerFactoryImpl() function.
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Mutex& getLayerFactoryMutex();
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//! @}
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CV__DNN_INLINE_NS_END
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}
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}
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#endif
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