Open Source Computer Vision Library
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63 lines
2.0 KiB
63 lines
2.0 KiB
// 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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#include "precomp.hpp" |
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#include "dnn_common.hpp" |
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#include <opencv2/core/utils/configuration.private.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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size_t getParam_DNN_NETWORK_DUMP() |
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{ |
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static size_t DNN_NETWORK_DUMP = utils::getConfigurationParameterSizeT("OPENCV_DNN_NETWORK_DUMP", 0); |
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return DNN_NETWORK_DUMP; |
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} |
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// this option is useful to run with valgrind memory errors detection |
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bool getParam_DNN_DISABLE_MEMORY_OPTIMIZATIONS() |
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{ |
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static bool DNN_DISABLE_MEMORY_OPTIMIZATIONS = utils::getConfigurationParameterBool("OPENCV_DNN_DISABLE_MEMORY_OPTIMIZATIONS", false); |
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return DNN_DISABLE_MEMORY_OPTIMIZATIONS; |
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} |
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#ifdef HAVE_OPENCL |
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bool getParam_DNN_OPENCL_ALLOW_ALL_DEVICES() |
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{ |
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static bool DNN_OPENCL_ALLOW_ALL_DEVICES = utils::getConfigurationParameterBool("OPENCV_DNN_OPENCL_ALLOW_ALL_DEVICES", false); |
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return DNN_OPENCL_ALLOW_ALL_DEVICES; |
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} |
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#endif |
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int getParam_DNN_BACKEND_DEFAULT() |
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{ |
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static int PARAM_DNN_BACKEND_DEFAULT = (int)utils::getConfigurationParameterSizeT("OPENCV_DNN_BACKEND_DEFAULT", |
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(size_t)DNN_BACKEND_OPENCV |
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); |
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return PARAM_DNN_BACKEND_DEFAULT; |
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} |
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// Additional checks (slowdowns execution!) |
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bool getParam_DNN_CHECK_NAN_INF() |
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{ |
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static bool DNN_CHECK_NAN_INF = utils::getConfigurationParameterBool("OPENCV_DNN_CHECK_NAN_INF", false); |
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return DNN_CHECK_NAN_INF; |
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} |
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bool getParam_DNN_CHECK_NAN_INF_DUMP() |
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{ |
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static bool DNN_CHECK_NAN_INF_DUMP = utils::getConfigurationParameterBool("OPENCV_DNN_CHECK_NAN_INF_DUMP", false); |
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return DNN_CHECK_NAN_INF_DUMP; |
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} |
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bool getParam_DNN_CHECK_NAN_INF_RAISE_ERROR() |
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{ |
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static bool DNN_CHECK_NAN_INF_RAISE_ERROR = utils::getConfigurationParameterBool("OPENCV_DNN_CHECK_NAN_INF_RAISE_ERROR", false); |
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return DNN_CHECK_NAN_INF_RAISE_ERROR; |
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} |
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CV__DNN_INLINE_NS_END |
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}} // namespace cv::dnn
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