From ac1940dcd1c7078c1030a0e84f33c342d7a6d1ae Mon Sep 17 00:00:00 2001 From: agsantos <aline.gondimsantos@savoirfairelinux.com> Date: Thu, 17 Sep 2020 10:18:40 -0400 Subject: [PATCH] jenkins: linux-gnu, armeabi-v7, windows Change-Id: I572b43a41344bfe438e18a2a5892b6b7be416e36 --- .clang-format | 110 +++++++ .gitignore | 7 +- GreenScreen/CMakeLists.txt | 217 ++++++------- GreenScreen/TFInference.cpp | 113 +++---- GreenScreen/TFInference.h | 13 +- GreenScreen/TFModels.h | 31 +- GreenScreen/build.sh | 395 ++++++++++++++++++++---- GreenScreen/buildandroid.sh | 188 ----------- GreenScreen/buildtfcc.sh | 94 ------ GreenScreen/main.cpp | 17 +- GreenScreen/manifest.json | 6 +- GreenScreen/package.json | 20 ++ GreenScreen/pluginInference.cpp | 239 +++++++------- GreenScreen/pluginInference.h | 80 ++--- GreenScreen/pluginMediaHandler.cpp | 98 +++--- GreenScreen/pluginMediaHandler.h | 32 +- GreenScreen/pluginParameters.cpp | 15 +- GreenScreen/pluginParameters.h | 17 +- GreenScreen/pluginProcessor.cpp | 374 +++++++++++----------- GreenScreen/pluginProcessor.h | 76 ++--- GreenScreen/videoSubscriber.cpp | 280 +++++++++-------- GreenScreen/videoSubscriber.h | 31 +- assemblePlugin.py => assemble-plugin.py | 25 +- build-plugin.py | 137 ++++++++ contrib/build-dependencies.sh | 150 +++++++++ contrib/libs.tar.gz | Bin 0 -> 1460968 bytes docker/Dockerfile_android | 70 +++++ docker/Dockerfile_ubuntu_20.04 | 66 ++++ lib/accel.h | 14 +- lib/framescaler.h | 58 ++-- lib/pluglog.h | 44 +-- 31 files changed, 1817 insertions(+), 1200 deletions(-) create mode 100644 .clang-format mode change 100644 => 100755 GreenScreen/build.sh delete mode 100644 GreenScreen/buildandroid.sh delete mode 100644 GreenScreen/buildtfcc.sh create mode 100644 GreenScreen/package.json rename assemblePlugin.py => assemble-plugin.py (65%) create mode 100644 build-plugin.py create mode 100755 contrib/build-dependencies.sh create mode 100644 contrib/libs.tar.gz create mode 100644 docker/Dockerfile_android create mode 100644 docker/Dockerfile_ubuntu_20.04 diff --git a/.clang-format b/.clang-format new file mode 100644 index 0000000..04b7121 --- /dev/null +++ b/.clang-format @@ -0,0 +1,110 @@ +# Based on the .clang-format for Qt Creator +# +# This is for clang-format >= 10.0. +# +# https://releases.llvm.org/10.0.0/tools/clang/docs/ClangFormatStyleOptions.html +# +--- +Language: Cpp +AccessModifierOffset: -4 +AlignAfterOpenBracket: Align +AlignConsecutiveAssignments: false +AlignConsecutiveDeclarations: false +AlignConsecutiveMacros: true +AlignEscapedNewlines: DontAlign +AlignOperands: true +AlignTrailingComments: true +AllowAllParametersOfDeclarationOnNextLine: true +AllowShortBlocksOnASingleLine: false +AllowShortCaseLabelsOnASingleLine: false +AllowShortFunctionsOnASingleLine: Inline +AllowShortIfStatementsOnASingleLine: false +AllowShortLambdasOnASingleLine: Inline +AllowShortLoopsOnASingleLine: false +AlwaysBreakAfterReturnType: TopLevelDefinitions +AlwaysBreakBeforeMultilineStrings: false +AlwaysBreakTemplateDeclarations: Yes +BinPackArguments: false +BinPackParameters: false +BraceWrapping: + AfterClass: true + AfterControlStatement: false + AfterEnum: false + AfterFunction: true + AfterNamespace: false + AfterObjCDeclaration: false + AfterStruct: true + AfterUnion: false + BeforeCatch: false + BeforeElse: false + IndentBraces: false + SplitEmptyFunction: false + SplitEmptyRecord: false + SplitEmptyNamespace: false +BreakBeforeBinaryOperators: All +BreakBeforeBraces: Custom +BreakBeforeInheritanceComma: false +BreakBeforeTernaryOperators: true +BreakConstructorInitializersBeforeComma: false +BreakConstructorInitializers: BeforeComma +BreakAfterJavaFieldAnnotations: false +BreakStringLiterals: true +ColumnLimit: 100 +CommentPragmas: '^ IWYU pragma:' +CompactNamespaces: false +ConstructorInitializerAllOnOneLineOrOnePerLine: false +ConstructorInitializerIndentWidth: 4 +ContinuationIndentWidth: 4 +Cpp11BracedListStyle: true +DerivePointerAlignment: false +DisableFormat: false +ExperimentalAutoDetectBinPacking: false +FixNamespaceComments: true +ForEachMacros: + - forever # avoids { wrapped to next line + - foreach + - Q_FOREACH + - BOOST_FOREACH +IncludeCategories: + - Regex: '^<Q.*' + Priority: 200 +IncludeIsMainRegex: '(Test)?$' +IndentCaseLabels: false +IndentWidth: 4 +IndentWrappedFunctionNames: false +JavaScriptQuotes: Leave +JavaScriptWrapImports: true +KeepEmptyLinesAtTheStartOfBlocks: false +MacroBlockBegin: "" +MacroBlockEnd: "" +MaxEmptyLinesToKeep: 1 +NamespaceIndentation: None +ObjCBlockIndentWidth: 4 +ObjCSpaceAfterProperty: false +ObjCSpaceBeforeProtocolList: true +PenaltyBreakAssignment: 150 +PenaltyBreakBeforeFirstCallParameter: 300 +PenaltyBreakComment: 500 +PenaltyBreakFirstLessLess: 400 +PenaltyBreakString: 600 +PenaltyExcessCharacter: 50 +PenaltyReturnTypeOnItsOwnLine: 300 +PointerAlignment: Left +ReflowComments: true +SortIncludes: false +SortUsingDeclarations: false +SpaceAfterCStyleCast: true +SpaceAfterTemplateKeyword: false +SpaceBeforeAssignmentOperators: true +SpaceBeforeCpp11BracedList: true +SpaceBeforeParens: ControlStatements +SpaceInEmptyParentheses: false +SpacesBeforeTrailingComments: 1 +SpacesInAngles: false +SpacesInContainerLiterals: false +SpacesInCStyleCastParentheses: false +SpacesInParentheses: false +SpacesInSquareBrackets: false +Standard: Cpp11 +TabWidth: 4 +UseTab: Never diff --git a/.gitignore b/.gitignore index 9f35710..022c659 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,5 @@ /build/ -/contrib/ -/simpleplugin/ -modelEvaluation.py -/loader/ *msvc* +*android-toolchain-* +config.mak +*Libs* diff --git a/GreenScreen/CMakeLists.txt b/GreenScreen/CMakeLists.txt index 574d9b1..61f9d40 100644 --- a/GreenScreen/CMakeLists.txt +++ b/GreenScreen/CMakeLists.txt @@ -6,35 +6,34 @@ set (Version 1.0) project(${ProjectName} VERSION ${Version}) -set (DAEMON ./../../daemon) +set (DAEMON ${PROJECT_SOURCE_DIR}/../../daemon) set (PLUGIN_NAME GreenScreen) set (JPL_FILE_NAME ${PLUGIN_NAME}.jpl) set (DAEMON_SRC ${DAEMON}/src) set (CONTRIB_PATH ${DAEMON}/contrib) -set (DESTINATION_PATH ./../build/) -set (PLUGINS_LIB ../lib) +set (PLUGINS_LIB ${PROJECT_SOURCE_DIR}/../lib) set (JPL_DIRECTORY ${PROJECT_BINARY_DIR}/jpl) +set (LIBS_DIR ${PROJECT_SOURCE_DIR}/../contrib/Libs) if(WIN32) - message(OS:\ WINDOWS\ ${CMAKE_SYSTEM_PROCESSOR}) - if (NOT ${CMAKE_CL_64}) - message( FATAL_ERROR "\nUse CMake only for x64 Windows" ) - endif() - set (CONTRIB_PLATFORM_CURT x64) - set (CONTRIB_PLATFORM ${CONTRIB_PLATFORM_CURT}-windows) - set (LIBRARY_FILE_NAME ${PLUGIN_NAME}.dll) - set (LIBS_DIR $ENV{HOME}/Documents/GITHUB/Libs) - set (OPENCV $ENV{HOME}/Documents/GITHUB/opencv/build-bash/) - set (FFMPEG ${CONTRIB_PATH}/build/ffmpeg/Build/win32/x64) + message(OS:\ WINDOWS\ ${CMAKE_SYSTEM_PROCESSOR}) + if (NOT ${CMAKE_CL_64}) + message( FATAL_ERROR "\nUse CMake only for x64 Windows" ) + endif() + set (CONTRIB_PLATFORM_CURT x64) + set (CONTRIB_PLATFORM ${CONTRIB_PLATFORM_CURT}-windows) + set (LIBRARY_FILE_NAME ${PLUGIN_NAME}.dll) + set (LIBS_BIN_DIR $ENV{PLUGIN_ENV}) + set (FFMPEG ${CONTRIB_PATH}/build/ffmpeg/Build/win32/x64) endif() if(UNIX) - message( FATAL_ERROR "\nUse CMake only for Windows! For linux or Android (linux host), use our bash scripts.\nPlese refer to documentation for more infos." ) - message(OS:\ LINUX\ ${CMAKE_SYSTEM_PROCESSOR}) - set (CONTRIB_PLATFORM_CURT ${CMAKE_SYSTEM_PROCESSOR}) - set (CONTRIB_PLATFORM ${CONTRIB_PLATFORM_CURT}-linux-gnu) - set (LIBRARY_FILE_NAME lib${PLUGIN_NAME}.so) - set (LIBS_DIR /home/${USER}/Libs) + message( FATAL_ERROR "\nUse CMake only for Windows! For linux or Android (linux host), use our bash scripts.\nPlese refer to documentation for more infos." ) + message(OS:\ LINUX\ ${CMAKE_SYSTEM_PROCESSOR}) + set (CONTRIB_PLATFORM_CURT ${CMAKE_SYSTEM_PROCESSOR}) + set (CONTRIB_PLATFORM ${CONTRIB_PLATFORM_CURT}-linux-gnu) + set (LIBRARY_FILE_NAME lib${PLUGIN_NAME}.so) + set (LIBS_BIN_DIR /home/${USER}/Libs) endif() @@ -51,19 +50,19 @@ set(TFLIB libtensorflow_cc) set(GPU -gpu61) if (CPU) - set(GPU ) - add_definitions(-DCPU) - message(CPU\ BUILDING!) + set(GPU ) + add_definitions(-DCPU) + message(CPU\ BUILDING!) endif() if (TFLITE) - add_definitions(-DTFLITE) - set(TENSORFLOW _tensorflowLite) - set(model mobilenet_v2_deeplab_v3_256_myquant.tflite) - set(modelType .tflite) - set(preferencesFile preferences-tflite.json) - set(TFLIB libtensorflowlite) - message(TFLITE\ BUILDING!) + add_definitions(-DTFLITE) + set(TENSORFLOW _tensorflowLite) + set(model mobilenet_v2_deeplab_v3_256_myquant.tflite) + set(modelType .tflite) + set(preferencesFile preferences-tflite.json) + set(TFLIB libtensorflowlite) + message(TFLITE\ BUILDING!) endif() set(CMAKE_CXX_STANDARD 17) @@ -72,106 +71,108 @@ set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /MT") set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /MTd") set(plugin_SRC main.cpp - pluginInference.cpp - pluginMediaHandler.cpp - pluginParameters.cpp - pluginProcessor.cpp - TFInference.cpp - videoSubscriber.cpp - ) + pluginInference.cpp + pluginMediaHandler.cpp + pluginParameters.cpp + pluginProcessor.cpp + TFInference.cpp + videoSubscriber.cpp + ) set(plugin_HDR pluginInference.h - pluginMediaHandler.h - pluginParameters.h - pluginProcessor.h - TFInference.h - TFModels.h - videoSubscriber.h - ../lib/accel.h - ../lib/framescaler.h - ../lib/pluglog.h - ) + pluginMediaHandler.h + pluginParameters.h + pluginProcessor.h + TFInference.h + TFModels.h + videoSubscriber.h + ../lib/accel.h + ../lib/framescaler.h + ../lib/pluglog.h + ) # add the library add_library(${ProjectName} SHARED ${plugin_SRC} - ${plugin_HDR} - ) + ${plugin_HDR} + ) -target_include_directories(${ProjectName} PUBLIC ${PROJECT_BINARY_DIR} - ${PROJECT_SOURCE_DIR} - ${DAEMON_SRC} - ${CONTRIB_PATH} - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4 - ${OPENCV}/install/include - ${FFMPEG}/include - ${PLUGINS_LIB} - ${LIBS_DIR} - ${LIBS_DIR}/${TENSORFLOW}/include - ${LIBS_DIR}/${TENSORFLOW}/include/third_party/eigen3 - ${LIBS_DIR}/${TENSORFLOW}/include/flatbuffers - ) if (WIN32) -target_link_directories(${ProjectName} PUBLIC ${CONTRIB_PATH} - ${LIBS_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} - ${OPENCV}/install/x64/vc16/staticlib - ${FFMPEG}/bin - ${LIBS_DIR} - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty - ${LIBS_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} - ) +target_include_directories(${ProjectName} PUBLIC ${PROJECT_BINARY_DIR} + ${PROJECT_SOURCE_DIR} + ${PLUGINS_LIB} + ${DAEMON_SRC} + ${CONTRIB_PATH} + ${FFMPEG}/include + ${CONTRIB_PATH}/build/opencv/build/install/include + ${LIBS_DIR}/${TENSORFLOW}/include + ${LIBS_DIR}/${TENSORFLOW}/include/third_party/eigen3 + ${LIBS_DIR}/${TENSORFLOW}/include/flatbuffers + ) +target_link_directories(${ProjectName} PUBLIC ${CONTRIB_PATH} + ${LIBS_BIN_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} + ${CONTRIB_PATH}/build/opencv/build/lib/Release + ${CONTRIB_PATH}/build/opencv/build/3rdparty/lib/Release + ${FFMPEG}/bin + ) target_link_libraries(${ProjectName} PUBLIC swscale avutil libpng opencv_imgcodecs411 opencv_imgproc411 opencv_core411 ${TFLIB} zlib) endif() if (UNIX) -link_directories(${ProjectName} PUBLIC ${CONTRIB_PATH} - ${LIBS_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} - ${OPENCV}/install/x64/vc16/staticlib - ${FFMPEG}/bin - ${LIBS_DIR} - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib - ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty - ${LIBS_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} - ) +target_include_directories(${ProjectName} PUBLIC ${PROJECT_BINARY_DIR} + ${PROJECT_SOURCE_DIR} + ${PLUGINS_LIB} + ${DAEMON_SRC} + ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include + ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4 + ${LIBS_DIR}/${TENSORFLOW}/include + ${LIBS_DIR}/${TENSORFLOW}/include/third_party/eigen3 + ${LIBS_DIR}/${TENSORFLOW}/include/flatbuffers + ) +link_directories(${ProjectName} PUBLIC ${CONTRIB_PATH} + ${LIBS_BIN_DIR}/${TENSORFLOW}/lib/${CONTRIB_PLATFORM} + ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib + ${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty + ) target_link_libraries(${ProjectName} PUBLIC swscale avutil libpng opencv_imgcodecs opencv_imgproc opencv_core ${TFLIB}) endif() add_custom_command( - TARGET ${ProjectName} - PRE_BUILD - COMMAND ${CMAKE_COMMAND} -E remove_directory -r ${JPL_DIRECTORY} - COMMAND ${CMAKE_COMMAND} -E remove_directory -r ${JPL_DIRECTORY}/../../../build/${ProjectName} - COMMAND ${CMAKE_COMMAND} -E make_directory ${JPL_DIRECTORY}/../../../build/${ProjectName} - COMMAND ${CMAKE_COMMAND} -E copy_directory ${CMAKE_SOURCE_DIR}/data ${JPL_DIRECTORY}/data - COMMAND ${CMAKE_COMMAND} -E copy_directory ${LIBS_DIR}/${TENSORFLOW}/lib/ ${JPL_DIRECTORY}/lib - COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/modelsSRC/${model} ${JPL_DIRECTORY}/data/models - COMMAND ${CMAKE_COMMAND} -E rename ${JPL_DIRECTORY}/data/models/${model} ${JPL_DIRECTORY}/data/models/mModel${modelType} - COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/manifest.json ${JPL_DIRECTORY} - COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/${preferencesFile} ${JPL_DIRECTORY}/data - COMMAND ${CMAKE_COMMAND} -E rename ${JPL_DIRECTORY}/data/${preferencesFile} ${JPL_DIRECTORY}/data/preferences.json - COMMENT "Assembling Plugin files" + TARGET ${ProjectName} + PRE_BUILD + COMMAND ${CMAKE_COMMAND} -E remove_directory -r ${JPL_DIRECTORY} + COMMAND ${CMAKE_COMMAND} -E remove_directory -r ${JPL_DIRECTORY}/../../../build/${ProjectName} + COMMAND ${CMAKE_COMMAND} -E copy_directory ${CMAKE_SOURCE_DIR}/data ${JPL_DIRECTORY}/data + COMMAND ${CMAKE_COMMAND} -E copy_directory ${LIBS_BIN_DIR}/${TENSORFLOW}/lib/ ${JPL_DIRECTORY}/lib + COMMAND ${CMAKE_COMMAND} -E make_directory ${JPL_DIRECTORY}/data/models + COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/modelsSRC/${model} ${JPL_DIRECTORY}/data/models + COMMAND ${CMAKE_COMMAND} -E rename ${JPL_DIRECTORY}/data/models/${model} ${JPL_DIRECTORY}/data/models/mModel${modelType} + COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/manifest.json ${JPL_DIRECTORY} + COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_SOURCE_DIR}/${preferencesFile} ${JPL_DIRECTORY}/data + COMMAND ${CMAKE_COMMAND} -E rename ${JPL_DIRECTORY}/data/${preferencesFile} ${JPL_DIRECTORY}/data/preferences.json + COMMENT "Assembling Plugin files" ) if (WIN32) - add_custom_command( - TARGET ${ProjectName} - POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${ProjectName}.lib ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} - COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${LIBRARY_FILE_NAME} ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} - COMMAND python ${PROJECT_SOURCE_DIR}/../assemblePlugin.py --plugins=GreenScreen - COMMENT "Generating JPL archive" - ) + add_custom_command( + TARGET ${ProjectName} + POST_BUILD + COMMAND ${CMAKE_COMMAND} -E make_directory ${JPL_DIRECTORY}/../../../build/x64-windows/${TENSORFLOW} + COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${ProjectName}.lib ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} + COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${LIBRARY_FILE_NAME} ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} + COMMAND python ${PROJECT_SOURCE_DIR}/../assemble-plugin.py --plugins=GreenScreen --extraPath=${TENSORFLOW} + COMMENT "Generating JPL archive" + ) else() - add_custom_command( - TARGET ${ProjectName} - POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${LIBRARY_FILE_NAME} ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} - COMMAND python ${PROJECT_SOURCE_DIR}/../assemblePlugin.py --plugins=GreenScreen - COMMENT "Generating JPL archive" - ) + add_custom_command( + TARGET ${ProjectName} + POST_BUILD + COMMAND ${CMAKE_COMMAND} -E make_directory ${JPL_DIRECTORY}/../../../build/x86_64-linux-gnu/${TENSORFLOW} + COMMAND ${CMAKE_COMMAND} -E copy ${PROJECT_BINARY_DIR}/Release/${LIBRARY_FILE_NAME} ${JPL_DIRECTORY}/lib/${CONTRIB_PLATFORM} + COMMAND python ${PROJECT_SOURCE_DIR}/../assemble-plugin.py --plugins=GreenScreen --extraPath=${TENSORFLOW} + COMMENT "Generating JPL archive" + ) endif() \ No newline at end of file diff --git a/GreenScreen/TFInference.cpp b/GreenScreen/TFInference.cpp index 678bc94..9fa036d 100644 --- a/GreenScreen/TFInference.cpp +++ b/GreenScreen/TFInference.cpp @@ -15,20 +15,19 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #include "TFInference.h" // Std libraries #include <fstream> -#include <numeric> #include <iostream> +#include <numeric> #include <stdlib.h> - -#ifdef TFLITE +#ifdef TFLITE // Tensorflow headers -#include <tensorflow/lite/interpreter.h> #include <tensorflow/lite/builtin_op_data.h> #include <tensorflow/lite/interpreter.h> #include <tensorflow/lite/kernels/register.h> @@ -49,7 +48,9 @@ const char sep = separator(); const std::string TAG = "FORESEG"; namespace jami { -TensorflowInference::TensorflowInference(TFModel tfModel) : tfModel(tfModel) {} +TensorflowInference::TensorflowInference(TFModel tfModel) + : tfModel(tfModel) +{} TensorflowInference::~TensorflowInference() {} @@ -69,8 +70,7 @@ TensorflowInference::loadModel() if (!flatbufferModel) { std::runtime_error("Failed to load the model file"); } - Plog::log(Plog::LogPriority::INFO, "TENSOR", "MODEL LOADED" ); - + Plog::log(Plog::LogPriority::INFO, "TENSOR", "MODEL LOADED"); } void TensorflowInference::buildInterpreter() @@ -80,22 +80,20 @@ TensorflowInference::buildInterpreter() tflite::ops::builtin::BuiltinOpResolver resolver; tflite::InterpreterBuilder builder(*flatbufferModel, resolver); builder(&interpreter); - if(interpreter) { + if (interpreter) { setInterpreterSettings(); - Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER BUILT" ); + Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER BUILT"); if (tfModel.useNNAPI) { - TfLiteDelegate* optionalNnApiDelegate = tflite::NnApiDelegate(); - - if (interpreter->ModifyGraphWithDelegate(optionalNnApiDelegate) != kTfLiteOk) { - Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER ERROR!!!" ); - } - else { - Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER SET" ); - allocateTensors(); - } - } - else { + TfLiteDelegate* optionalNnApiDelegate = tflite::NnApiDelegate(); + + if (interpreter->ModifyGraphWithDelegate(optionalNnApiDelegate) != kTfLiteOk) { + Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER ERROR!!!"); + } else { + Plog::log(Plog::LogPriority::INFO, "TENSOR", "INTERPRETER SET"); + allocateTensors(); + } + } else { allocateTensors(); } } @@ -107,7 +105,7 @@ TensorflowInference::allocateTensors() if (interpreter->AllocateTensors() != kTfLiteOk) { std::runtime_error("Failed to allocate tensors!"); } else { - Plog::log(Plog::LogPriority::INFO, "TENSOR", "TENSORS ALLOCATED" ); + Plog::log(Plog::LogPriority::INFO, "TENSOR", "TENSORS ALLOCATED"); allocated_ = true; } } @@ -118,20 +116,19 @@ TensorflowInference::describeModelTensors() const // PrintInterpreterState(interpreter.get()); std::ostringstream oss; oss << "=============== inputs/outputs dimensions ===============" - << "\n"; + << "\n"; const std::vector<int> inputs = interpreter->inputs(); const std::vector<int> outputs = interpreter->outputs(); oss << "number of inputs: " << inputs.size() << std::endl; oss << "number of outputs: " << outputs.size() << std::endl; - Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str() ); + Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str()); int input = interpreter->inputs()[0]; int output = interpreter->outputs()[0]; oss << "input 0 index: " << input << std::endl; oss << "output 0 index: " << output << std::endl; - oss << "=============== input dimensions ===============" - << std::endl; - Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str() ); + oss << "=============== input dimensions ===============" << std::endl; + Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str()); // get input dimension from the input tensor metadata // assuming one input only @@ -142,8 +139,8 @@ TensorflowInference::describeModelTensors() const } oss.str(""); oss << "=============== output dimensions ===============" - << "\n"; - Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str() ); + << "\n"; + Plog::log(Plog::LogPriority::INFO, "TENSOR", oss.str()); // get input dimension from the input tensor metadata // assuming one input only for (size_t i = 0; i < outputs.size(); i++) { @@ -173,19 +170,18 @@ TensorflowInference::describeTensor(std::string prefix, int index) const for (size_t i = 0; i < nbDimensions; i++) { if (i == dimensions.size() - 1) { tensorDescription << dimensions[i]; - } - else { + } else { tensorDescription << dimensions[i] << " x "; } } tensorDescription << std::endl; - Plog::log(Plog::LogPriority::INFO, "TENSOR", tensorDescription.str() ); + Plog::log(Plog::LogPriority::INFO, "TENSOR", tensorDescription.str()); } std::vector<int> TensorflowInference::getTensorDimensions(int index) const { - TfLiteIntArray *dims = interpreter->tensor(index)->dims; + TfLiteIntArray* dims = interpreter->tensor(index)->dims; size_t size = static_cast<size_t>(interpreter->tensor(index)->dims->size); std::vector<int> result; result.reserve(size); @@ -203,7 +199,9 @@ TensorflowInference::runGraph() { for (size_t i = 0; i < tfModel.numberOfRuns; i++) { if (interpreter->Invoke() != kTfLiteOk) { - Plog::log(Plog::LogPriority::INFO, "RUN GRAPH", "A problem occured when running the graph"); + Plog::log(Plog::LogPriority::INFO, + "RUN GRAPH", + "A problem occured when running the graph"); } } } @@ -224,43 +222,49 @@ void TensorflowInference::LoadGraph() { tensorflow::GraphDef graph_def; - tensorflow::Status load_graph_status = tensorflow::ReadBinaryProto(tensorflow::Env::Default(), tfModel.modelPath, &graph_def); + tensorflow::Status load_graph_status = tensorflow::ReadBinaryProto(tensorflow::Env::Default(), + tfModel.modelPath, + &graph_def); if (!load_graph_status.ok()) { allocated_ = false; Plog::log(Plog::LogPriority::INFO, "LOAD GRAPH", "A problem occured when loading the graph"); - return ; + return; } Plog::log(Plog::LogPriority::INFO, "LOAD GRAPH", "graph loaded"); - // Plog::log(Plog::LogPriority::INFO, "GRAPH SIZE: ", std::to_string(graph_def.node_size())); - // for (auto& node : *graph_def.mutable_node()) + // Plog::log(Plog::LogPriority::INFO, "GRAPH SIZE: ", + // std::to_string(graph_def.node_size())); for (auto& node : + // *graph_def.mutable_node()) // { - // Plog::log(Plog::LogPriority::INFO, "GRAPH NODE: ", node.name().c_str()); - // // Plog::log(Plog::LogPriority::INFO, "\tNODE SIZE: ", node.().c_str()); + // Plog::log(Plog::LogPriority::INFO, "GRAPH NODE: ", + // node.name().c_str()); + // // Plog::log(Plog::LogPriority::INFO, "\tNODE SIZE: ", + // node.().c_str()); // } PluginParameters* parameters = getGlobalPluginParameters(); tensorflow::SessionOptions options; - if(parameters->useGPU) { + if (parameters->useGPU) { options.config.mutable_gpu_options()->set_allow_growth(true); options.config.mutable_gpu_options()->set_per_process_gpu_memory_fraction(0.3); - } - else { + } else { #ifdef WIN32 - options.config.mutable_device_count()->insert({ "CPU", 1 }); - options.config.mutable_device_count()->insert({ "GPU", 0 }); + options.config.mutable_device_count()->insert({"CPU", 1}); + options.config.mutable_device_count()->insert({"GPU", 0}); #else - setenv("CUDA_VISIBLE_DEVICES", "", 1); + setenv("CUDA_VISIBLE_DEVICES", "", 1); #endif } - + (&session)->reset(tensorflow::NewSession(options)); tensorflow::Status session_create_status = session->Create(graph_def); if (!session_create_status.ok()) { - Plog::log(Plog::LogPriority::INFO, "INIT SESSION", "A problem occured when initializating session"); + Plog::log(Plog::LogPriority::INFO, + "INIT SESSION", + "A problem occured when initializating session"); allocated_ = true; - return ; + return; } Plog::log(Plog::LogPriority::INFO, "INIT SESSION", "session initialized"); @@ -272,9 +276,14 @@ TensorflowInference::runGraph() { for (size_t i = 0; i < tfModel.numberOfRuns; i++) { // Actually run the image through the model. - tensorflow::Status run_status = session->Run({{tfModel.inputLayer, imageTensor}}, {tfModel.outputLayer}, {}, &outputs); + tensorflow::Status run_status = session->Run({{tfModel.inputLayer, imageTensor}}, + {tfModel.outputLayer}, + {}, + &outputs); if (!run_status.ok()) { - Plog::log(Plog::LogPriority::INFO, "RUN GRAPH", "A problem occured when running the graph"); + Plog::log(Plog::LogPriority::INFO, + "RUN GRAPH", + "A problem occured when running the graph"); } } } @@ -287,4 +296,4 @@ TensorflowInference::init() } #endif -} +} // namespace jami diff --git a/GreenScreen/TFInference.h b/GreenScreen/TFInference.h index 823dab9..778a253 100644 --- a/GreenScreen/TFInference.h +++ b/GreenScreen/TFInference.h @@ -60,15 +60,14 @@ class Session; struct SessionOptions; class TensorShape; class Env; -enum DataType:int; -} // namespace namespace tensorflow +enum DataType : int; +} // namespace tensorflow #endif - -namespace jami +namespace jami { +class TensorflowInference { -class TensorflowInference { public: /** * @brief TensorflowInference @@ -102,7 +101,7 @@ public: void LoadGraph(); tensorflow::Tensor imageTensor; -#endif //TFLITE +#endif // TFLITE /** * @brief runGraph @@ -150,4 +149,4 @@ protected: bool allocated_ = false; }; -} +} // namespace jami diff --git a/GreenScreen/TFModels.h b/GreenScreen/TFModels.h index be0b4ae..43787c9 100644 --- a/GreenScreen/TFModels.h +++ b/GreenScreen/TFModels.h @@ -25,11 +25,14 @@ #include <vector> #include "pluginParameters.h" -struct TFModelConfiguration { - TFModelConfiguration (std::string& model): modelPath{model} {} +struct TFModelConfiguration +{ + TFModelConfiguration(std::string& model) + : modelPath {model} + {} std::string modelPath; std::vector<unsigned int> normalizationValues; - std::vector<int> dims = {1, 385, 385, 3}; //model Input dimensions + std::vector<int> dims = {1, 385, 385, 3}; // model Input dimensions unsigned int numberOfRuns = 1; // TensorflowLite specific settings @@ -48,14 +51,24 @@ struct TFModelConfiguration { std::string inputLayer = "sub_2"; std::string outputLayer = "float_segments"; #endif // TFLITE - }; -struct TFModel : TFModelConfiguration { - TFModel(std::string&& model, std::string&& labels): TFModelConfiguration(model), labelsPath{labels}{} - TFModel(std::string& model, std::string& labels): TFModelConfiguration(model), labelsPath{labels}{} - TFModel(std::string&& model): TFModelConfiguration(model) {} - TFModel(std::string& model): TFModelConfiguration(model) {} +struct TFModel : TFModelConfiguration +{ + TFModel(std::string&& model, std::string&& labels) + : TFModelConfiguration(model) + , labelsPath {labels} + {} + TFModel(std::string& model, std::string& labels) + : TFModelConfiguration(model) + , labelsPath {labels} + {} + TFModel(std::string&& model) + : TFModelConfiguration(model) + {} + TFModel(std::string& model) + : TFModelConfiguration(model) + {} std::string labelsPath = " "; unsigned int labelsPadding = 16; diff --git a/GreenScreen/build.sh b/GreenScreen/build.sh old mode 100644 new mode 100755 index d9b6fbf..d346c19 --- a/GreenScreen/build.sh +++ b/GreenScreen/build.sh @@ -1,78 +1,355 @@ #! /bin/bash # Build the plugin for the project -if [ -z $DAEMON ]; then +export OSTYPE +ARCH=$(arch) + +# Flags: + + # -p: number of processors to use + # -c: Runtime plugin cpu/gpu setting. + # -t: target platform. + + +if [ -z "${DAEMON}" ]; then DAEMON="./../../daemon" - echo "DAEMON not provided, building for ${DAEMON}" + echo "DAEMON not provided, building with ${DAEMON}" fi PLUGIN_NAME="GreenScreen" -JPL_FILE_NAME=${PLUGIN_NAME}".jpl" -SO_FILE_NAME="lib"${PLUGIN_NAME}".so" +JPL_FILE_NAME="${PLUGIN_NAME}.jpl" +SO_FILE_NAME="lib${PLUGIN_NAME}.so" DAEMON_SRC="${DAEMON}/src" CONTRIB_PATH="${DAEMON}/contrib" -DESTINATION_PATH="./../build/" PLUGINS_LIB="../lib" -LIBS_DIR="/home/${USER}/Libs" - - -CONTRIB_PLATFORM_CURT=x86_64 -CONTRIB_PLATFORM=${CONTRIB_PLATFORM_CURT}-linux-gnu - -mkdir -p lib/${CONTRIB_PLATFORM} -mkdir -p ${DESTINATION_PATH}/jpl - -# Compile -clang++ -std=c++17 -shared -fPIC \ --Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ --Wall -Wextra \ --Wno-unused-variable \ --Wno-unused-function \ --Wno-unused-parameter \ --DTFLITE \ --I"." \ --I${DAEMON_SRC} \ --I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ --I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ --I${LIBS_DIR}/_tensorflow_distribution/include/flatbuffers \ --I${LIBS_DIR}/_tensorflow_distribution/include \ --I${PLUGINS_LIB} \ -main.cpp \ -videoSubscriber.cpp \ -pluginProcessor.cpp \ -pluginMediaHandler.cpp \ -TFInference.cpp \ -pluginInference.cpp \ -pluginParameters.cpp \ --L${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/ \ --L${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty/ \ --L${LIBS_DIR}/_tensorflow_distribution/lib/${CONTRIB_PLATFORM}/ \ --lswscale \ --lavutil \ --lopencv_imgcodecs \ --lopencv_imgproc \ --lopencv_core \ --ltensorflowlite \ --lpng \ --o lib/${CONTRIB_PLATFORM}/${SO_FILE_NAME} -# (above) Always put opencv_core after all other opencv libs -# (above) Always put avutil after all other ffmpeg libs -# (above) Always put png after all other libs +LIBS_DIR="./../contrib/Libs" + +if [ -z "${TF_LIBS_DIR}" ]; then + TF_LIBS_DIR="./../../../Libs" +fi +echo "Building with ${TF_LIBS_DIR}" +PLATFORM="linux-gnu" +PROCESSOR='GPU' + +while getopts t:c:p OPT; do + case "$OPT" in + t) + PLATFORM="${OPTARG}" + if [ -z "${TF}" ]; then + if [ "$PLATFORM" = 'linux-gnu' ]; then + TF="_tensorflow_cc" + elif [ "$PLATFORM" = 'android' ]; then + TF="_tensorflowLite" + fi + fi + ;; + c) + PROCESSOR="${OPTARG}" + ;; + p) + ;; + \?) + exit 1 + ;; + esac +done + + +if [ -z "${TF}" ]; then + TF="_tensorflow_cc" +fi +echo "Building with ${TF}" mkdir ./data/models -cp ${LIBS_DIR}/_tensorflow_distribution/lib/${CONTRIB_PLATFORM}/libtensorflowlite.so lib/$CONTRIB_PLATFORM -cp /usr/lib/${CONTRIB_PLATFORM}/libswscale.so.4 lib/$CONTRIB_PLATFORM -cp /usr/lib/${CONTRIB_PLATFORM}/libavutil.so.55 lib/$CONTRIB_PLATFORM -cp /usr/lib/${CONTRIB_PLATFORM}/libpng16.so.16 lib/$CONTRIB_PLATFORM -cp ./modelsSRC/mobilenet_v2_deeplab_v3_256_myquant.tflite ./data/models/mModel.tflite -cp ./preferences-tflite.json ./data/preferences.json + +if [[ "${TF}" = "_tensorflow_cc" ]] && [[ "${PLATFORM}" = "linux-gnu" ]] +then + if [ -z "$CUDALIBS" ]; then + rm -r ./data/models + echo "CUDALIBS must point to CUDA 10.1!" + exit + fi + if [ -z "$CUDNN" ]; then + rm -r ./data/models + echo "CUDNN must point to libcudnn.so 7!" + exit + fi + + echo "Building for ${PROCESSOR}" + + CONTRIB_PLATFORM_CURT=${ARCH} + CONTRIB_PLATFORM=${CONTRIB_PLATFORM_CURT}-${PLATFORM} + DESTINATION_PATH="./../build/${CONTRIB_PLATFORM}/${TF}" + mkdir -p "lib/${CONTRIB_PLATFORM}" + mkdir -p "${DESTINATION_PATH}" + + + # Compile + clang++ -std=c++17 -shared -fPIC \ + -Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ + -Wall -Wextra \ + -Wno-unused-variable \ + -Wno-unused-function \ + -Wno-unused-parameter \ + -D"${PROCESSOR}" \ + -I"." \ + -I"${DAEMON_SRC}" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ + -I"${LIBS_DIR}/${TF}/include" \ + -I"${LIBS_DIR}/${TF}/include/third_party/eigen3" \ + -I"${PLUGINS_LIB}" \ + main.cpp \ + videoSubscriber.cpp \ + pluginProcessor.cpp \ + pluginMediaHandler.cpp \ + TFInference.cpp \ + pluginInference.cpp \ + pluginParameters.cpp \ + -L"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/" \ + -L"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty/" \ + -L"${TF_LIBS_DIR}/${TF}/lib/${CONTRIB_PLATFORM}-gpu61/" \ + -lswscale \ + -lavutil \ + -lopencv_imgcodecs \ + -lopencv_imgproc \ + -lopencv_core \ + -ltensorflow_cc \ + -lpng \ + -o "lib/${CONTRIB_PLATFORM}/${SO_FILE_NAME}" + + cp "${TF_LIBS_DIR}/${TF}/lib/${CONTRIB_PLATFORM}-gpu61/libtensorflow_cc.so" "lib/$CONTRIB_PLATFORM/libtensorflow_cc.so.2" + cp "/usr/lib/${CONTRIB_PLATFORM}/libswscale.so.4" "lib/$CONTRIB_PLATFORM" + cp "/usr/lib/${CONTRIB_PLATFORM}/libavutil.so.55" "lib/$CONTRIB_PLATFORM" + cp "/usr/lib/${CONTRIB_PLATFORM}/libpng16.so.16" "lib/$CONTRIB_PLATFORM" + cp "${CUDALIBS}/libcudart.so" "lib/$CONTRIB_PLATFORM/libcudart.so.10.0" + cp "${CUDNN}/libcublas.so.10" "lib/$CONTRIB_PLATFORM/libcublas.so.10.0" + cp "${CUDALIBS}/libcufft.so.10" "lib/$CONTRIB_PLATFORM/libcufft.so.10.0" + cp "${CUDALIBS}/libcurand.so.10" "lib/$CONTRIB_PLATFORM/libcurand.so.10.0" + cp "${CUDALIBS}/libcusolver.so.10" "lib/$CONTRIB_PLATFORM/libcusolver.so.10.0" + cp "${CUDALIBS}/libcusparse.so.10" "lib/$CONTRIB_PLATFORM/libcusparse.so.10.0" + cp "${CUDNN}/libcudnn.so.7" "lib/$CONTRIB_PLATFORM" + + cp ./modelsSRC/mModel-resnet50float.pb ./data/models/mModel.pb + cp ./preferences-tfcc.json ./data/preferences.json +elif [ "${TF}" = "_tensorflowLite" ] +then + if [ "${PLATFORM}" = "linux-gnu" ] + then + CONTRIB_PLATFORM_CURT=${ARCH} + CONTRIB_PLATFORM=${CONTRIB_PLATFORM_CURT}-${PLATFORM} + DESTINATION_PATH="./../build/${CONTRIB_PLATFORM}/${TF}" + mkdir -p "lib/${CONTRIB_PLATFORM}" + mkdir -p "${DESTINATION_PATH}" + + # Compile + clang++ -std=c++17 -shared -fPIC \ + -Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ + -Wall -Wextra \ + -Wno-unused-variable \ + -Wno-unused-function \ + -Wno-unused-parameter \ + -DTFLITE \ + -I"." \ + -I"${DAEMON_SRC}" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ + -I"${LIBS_DIR}/${TF}/include/flatbuffers" \ + -I"${LIBS_DIR}/${TF}/include" \ + -I"${PLUGINS_LIB}" \ + main.cpp \ + videoSubscriber.cpp \ + pluginProcessor.cpp \ + pluginMediaHandler.cpp \ + TFInference.cpp \ + pluginInference.cpp \ + pluginParameters.cpp \ + -L"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/" \ + -L"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty/" \ + -L"${TF_LIBS_DIR}/${TF}/lib/${CONTRIB_PLATFORM}/" \ + -lswscale \ + -lavutil \ + -lopencv_imgcodecs \ + -lopencv_imgproc \ + -lopencv_core \ + -ltensorflowlite \ + -lpng \ + -o "lib/${CONTRIB_PLATFORM}/${SO_FILE_NAME}" + + cp "${TF_LIBS_DIR}/${TF}/lib/${CONTRIB_PLATFORM}/libtensorflowlite.so" "lib/$CONTRIB_PLATFORM" + cp "/usr/lib/${CONTRIB_PLATFORM}/libswscale.so.4" "lib/$CONTRIB_PLATFORM" + cp "/usr/lib/${CONTRIB_PLATFORM}/libavutil.so.55" "lib/$CONTRIB_PLATFORM" + cp "/usr/lib/${CONTRIB_PLATFORM}/libpng16.so.16" "lib/$CONTRIB_PLATFORM" + + elif [ "${PLATFORM}" = "android" ] + then + DESTINATION_PATH="./../build/android" + mkdir -p "${DESTINATION_PATH}" + + if [ -z "$ANDROID_NDK" ]; then + ANDROID_NDK="/home/${USER}/Android/Sdk/ndk/21.1.6352462" + echo "ANDROID_NDK not provided, building with ${ANDROID_NDK}" + fi + + #========================================================= + # Check if the ANDROID_ABI was provided + # if not, set default + #========================================================= + if [ -z "$ANDROID_ABI" ]; then + ANDROID_ABI="armeabi-v7a arm64-v8a" + echo "ANDROID_ABI not provided, building for ${ANDROID_ABI}" + fi + + buildlib() { + echo "$CURRENT_ABI" + mkdir -p "lib/$CURRENT_ABI" + + #========================================================= + # ANDROID TOOLS + #========================================================= + export HOST_TAG=linux-x86_64 + export TOOLCHAIN=$ANDROID_NDK/toolchains/llvm/prebuilt/$HOST_TAG + + if [ "$CURRENT_ABI" = armeabi-v7a ] + then + export AR=$TOOLCHAIN/bin/arm-linux-android-ar + export AS=$TOOLCHAIN/bin/arm-linux-android-as + export CC=$TOOLCHAIN/bin/armv7a-linux-androideabi21-clang + export CXX=$TOOLCHAIN/bin/armv7a-linux-androideabi21-clang++ + export LD=$TOOLCHAIN/bin/arm-linux-android-ld + export RANLIB=$TOOLCHAIN/bin/arm-linux-android-ranlib + export STRIP=$TOOLCHAIN/bin/arm-linux-androideabi-strip + export ANDROID_SYSROOT=${DAEMON}/../client-android/android-toolchain-21-arm/sysroot + + elif [ "$CURRENT_ABI" = arm64-v8a ] + then + export AR=$TOOLCHAIN/bin/aarch64-linux-android-ar + export AS=$TOOLCHAIN/bin/aarch64-linux-android-as + export CC=$TOOLCHAIN/bin/aarch64-linux-android21-clang + export CXX=$TOOLCHAIN/bin/aarch64-linux-android21-clang++ + export LD=$TOOLCHAIN/bin/aarch64-linux-android-ld + export RANLIB=$TOOLCHAIN/bin/aarch64-linux-android-ranlib + export STRIP=$TOOLCHAIN/bin/aarch64-linux-android-strip + export ANDROID_SYSROOT=${DAEMON}/../client-android/android-toolchain-21-arm64/sysroot + + elif [ "$CURRENT_ABI" = x86_64 ] + then + export AR=$TOOLCHAIN/bin/x86_64-linux-android-ar + export AS=$TOOLCHAIN/bin/x86_64-linux-android-as + export CC=$TOOLCHAIN/bin/x86_64-linux-android21-clang + export CXX=$TOOLCHAIN/bin/x86_64-linux-android21-clang++ + export LD=$TOOLCHAIN/bin/x86_64-linux-android-ld + export RANLIB=$TOOLCHAIN/bin/x86_64-linux-android-ranlib + export STRIP=$TOOLCHAIN/bin/x86_64-linux-android-strip + export ANDROID_SYSROOT=${DAEMON}/../client-android/android-toolchain-21-x86_64/sysroot + + else + echo "ABI NOT OK" >&2 + rm -r lib/ + rm -r ./data/models + exit 1 + fi + + #========================================================= + # CONTRIBS + #========================================================= + if [ "$CURRENT_ABI" = armeabi-v7a ] + then + CONTRIB_PLATFORM=arm-linux-androideabi + + elif [ "$CURRENT_ABI" = arm64-v8a ] + then + CONTRIB_PLATFORM=aarch64-linux-android + + elif [ "$CURRENT_ABI" = x86_64 ] + then + CONTRIB_PLATFORM=x86_64-linux-android + fi + + #NDK SOURCES FOR cpufeatures + NDK_SOURCES=${ANDROID_NDK}/sources/android + + #========================================================= + # LD_FLAGS + #========================================================= + if [ "$CURRENT_ABI" = armeabi-v7a ] + then + export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/arm-linux-androideabi -L${ANDROID_SYSROOT}/usr/lib/arm-linux-androideabi/21" + elif [ "$CURRENT_ABI" = arm64-v8a ] + then + export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/aarch64-linux-android -L${ANDROID_SYSROOT}/usr/lib/aarch64-linux-android/21" + elif [ "$CURRENT_ABI" = x86_64 ] + then + export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/x86_64-linux-android -L${ANDROID_SYSROOT}/usr/lib/x86_64-linux-android/21" + fi + + #========================================================= + # Compile CPU FEATURES, NEEDED FOR OPENCV + #========================================================= + $CC -c "$NDK_SOURCES/cpufeatures/cpu-features.c" -o cpu-features.o -o cpu-features.o --sysroot=$ANDROID_SYSROOT + + #========================================================= + # Compile the plugin + #========================================================= + + # Create so destination folder + $CXX --std=c++14 -O3 -g -fPIC \ + -Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ + -shared \ + -Wall -Wextra \ + -Wno-unused-variable \ + -Wno-unused-function \ + -Wno-unused-parameter \ + -DTFLITE \ + -I"." \ + -I"${DAEMON_SRC}" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ + -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ + -I"${LIBS_DIR}/${TF}/include/flatbuffers" \ + -I"${LIBS_DIR}/${TF}/include" \ + -I"${PLUGINS_LIB}" \ + main.cpp \ + videoSubscriber.cpp \ + pluginProcessor.cpp \ + pluginMediaHandler.cpp \ + TFInference.cpp \ + pluginInference.cpp \ + pluginParameters.cpp \ + cpu-features.o \ + -L"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/" \ + -L"${TF_LIBS_DIR}/${TF}/lib/${CURRENT_ABI}/" \ + -lswscale \ + -lavutil \ + -lopencv_imgcodecs \ + -lopencv_imgproc \ + -lopencv_core \ + -llibpng \ + -ltensorflowlite \ + -llog -lz \ + --sysroot=$ANDROID_SYSROOT \ + -o "lib/$CURRENT_ABI/${SO_FILE_NAME}" + + cp "${TF_LIBS_DIR}/${TF}/lib/${CURRENT_ABI}/libtensorflowlite.so" "lib/$CURRENT_ABI" + rm cpu-features.o + } + + # Build the so + for i in ${ANDROID_ABI}; do + CURRENT_ABI=$i + buildlib + done + fi + + cp ./modelsSRC/mobilenet_v2_deeplab_v3_256_myquant.tflite ./data/models/mModel.tflite + cp ./preferences-tflite.json ./data/preferences.json +fi zip -r ${JPL_FILE_NAME} data manifest.json lib -mv ${JPL_FILE_NAME} ${DESTINATION_PATH}/jpl/ +mv ${JPL_FILE_NAME} ${DESTINATION_PATH}/ # Cleanup # Remove lib after compilation rm -rf lib -rm -r ./data/models/ -rm ./data/models/mModel.tflite +rm -r ./data/models rm ./data/preferences.json + diff --git a/GreenScreen/buildandroid.sh b/GreenScreen/buildandroid.sh deleted file mode 100644 index c0e2343..0000000 --- a/GreenScreen/buildandroid.sh +++ /dev/null @@ -1,188 +0,0 @@ -#! /bin/bash -# Build the plugin for the project -if [ -z $DAEMON ]; then - DAEMON="./../../daemon" - echo "DAEMON not provided, building for ${DAEMON}" -fi -if [ -z $ANDROID_NDK ]; then - ANDROID_NDK=/home/${USER}/Android/Sdk/ndk/21.1.6352462 - echo "ANDROID_NDK not provided, building with ${ANDROID_NDK}" -fi - -PLUGIN_NAME="GreenScreen" -JPL_FILE_NAME=${PLUGIN_NAME}".jpl" -SO_FILE_NAME="lib"${PLUGIN_NAME}".so" -LIBS_DIR="/home/${USER}/Libs" -DAEMON_SRC="${DAEMON}/src" -CONTRIB_PATH="${DAEMON}/contrib" -DESTINATION_PATH="./../build/" -PLUGINS_LIB="../lib" - -#========================================================= -# Check if the ANDROID_ABI was provided -# if not, set default -#========================================================= -if [ -z $ANDROID_ABI ]; then - ANDROID_ABI="armeabi-v7a arm64-v8a" - echo "ANDROID_ABI not provided, building for ${ANDROID_ABI}" -fi - -buildlib() { - echo $CURRENT_ABI - #========================================================= - # ANDROID TOOLS - #========================================================= - export HOST_TAG=linux-x86_64 - export TOOLCHAIN=$ANDROID_NDK/toolchains/llvm/prebuilt/$HOST_TAG - - if [ $CURRENT_ABI = armeabi-v7a ] - then - export AR=$TOOLCHAIN/bin/arm-linux-android-ar - export AS=$TOOLCHAIN/bin/arm-linux-android-as - export CC=$TOOLCHAIN/bin/armv7a-linux-androideabi21-clang - export CXX=$TOOLCHAIN/bin/armv7a-linux-androideabi21-clang++ - export LD=$TOOLCHAIN/bin/arm-linux-android-ld - export RANLIB=$TOOLCHAIN/bin/arm-linux-android-ranlib - export STRIP=$TOOLCHAIN/bin/arm-linux-androideabi-strip - export ANDROID_SYSROOT=./../../client-android/android-toolchain-21-arm/sysroot - - elif [ $CURRENT_ABI = arm64-v8a ] - then - export AR=$TOOLCHAIN/bin/aarch64-linux-android-ar - export AS=$TOOLCHAIN/bin/aarch64-linux-android-as - export CC=$TOOLCHAIN/bin/aarch64-linux-android21-clang - export CXX=$TOOLCHAIN/bin/aarch64-linux-android21-clang++ - export LD=$TOOLCHAIN/bin/aarch64-linux-android-ld - export RANLIB=$TOOLCHAIN/bin/aarch64-linux-android-ranlib - export STRIP=$TOOLCHAIN/bin/aarch64-linux-android-strip - export ANDROID_SYSROOT=./../../client-android/android-toolchain-21-arm64/sysroot - - elif [ $CURRENT_ABI = x86_64 ] - then - export AR=$TOOLCHAIN/bin/x86_64-linux-android-ar - export AS=$TOOLCHAIN/bin/x86_64-linux-android-as - export CC=$TOOLCHAIN/bin/x86_64-linux-android21-clang - export CXX=$TOOLCHAIN/bin/x86_64-linux-android21-clang++ - export LD=$TOOLCHAIN/bin/x86_64-linux-android-ld - export RANLIB=$TOOLCHAIN/bin/x86_64-linux-android-ranlib - export STRIP=$TOOLCHAIN/bin/x86_64-linux-android-strip - export ANDROID_SYSROOT=./../../client-android/android-toolchain-21-x86_64/sysroot - - else - echo "ABI NOT OK" >&2 - exit 1 - fi - - #========================================================= - # CONTRIBS - #========================================================= - if [ $CURRENT_ABI = armeabi-v7a ] - then - CONTRIB_PLATFORM=arm-linux-androideabi - - elif [ $CURRENT_ABI = arm64-v8a ] - then - CONTRIB_PLATFORM=aarch64-linux-android - - elif [ $CURRENT_ABI = x86_64 ] - then - CONTRIB_PLATFORM=x86_64-linux-android - fi - - # ASSETS - ANDROID_PROJECT_ASSETS=./../../client-android/ring-android/app/src/main/assets - # LIBS FOLDER - ANDROID_PROJECT_LIBS=./../../client-android/ring-android/app/src/main/libs/$CURRENT_ABI - #NDK SOURCES FOR cpufeatures - NDK_SOURCES=${ANDROID_NDK}/sources/android - - #========================================================= - # LD_FLAGS - #========================================================= - if [ $CURRENT_ABI = armeabi-v7a ] - then - export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/arm-linux-androideabi -L${ANDROID_SYSROOT}/usr/lib/arm-linux-androideabi/21" - elif [ $CURRENT_ABI = arm64-v8a ] - then - export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/aarch64-linux-android -L${ANDROID_SYSROOT}/usr/lib/aarch64-linux-android/21" - elif [ $CURRENT_ABI = x86_64 ] - then - export EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_SYSROOT}/usr/lib/x86_64-linux-android -L${ANDROID_SYSROOT}/usr/lib/x86_64-linux-android/21" - fi - - #========================================================= - # Compile CPU FEATURES, NEEDED FOR OPENCV - #========================================================= - $CC -c $NDK_SOURCES/cpufeatures/cpu-features.c -o cpu-features.o -o cpu-features.o --sysroot=$ANDROID_SYSROOT - - #========================================================= - # Compile the plugin - #========================================================= - - # Create so destination folder - mkdir -p lib/$CURRENT_ABI - - # Create so destination folder - $CXX --std=c++14 -O3 -g -fPIC \ - -Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ - -shared \ - -Wall -Wextra \ - -Wno-unused-variable \ - -Wno-unused-function \ - -Wno-unused-parameter \ - -DTFLITE \ - -I"." \ - -I${DAEMON_SRC} \ - -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ - -I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ - -I${LIBS_DIR}/_tensorflow_distribution/include/flatbuffers \ - -I${LIBS_DIR}/_tensorflow_distribution/include \ - -I${PLUGINS_LIB} \ - main.cpp \ - videoSubscriber.cpp \ - pluginProcessor.cpp \ - pluginMediaHandler.cpp \ - TFInference.cpp \ - pluginInference.cpp \ - pluginParameters.cpp \ - cpu-features.o \ - -L${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/ \ - -L${LIBS_DIR}/_tensorflow_distribution/lib/${CURRENT_ABI}/ \ - -lswscale \ - -lavutil \ - -lopencv_imgcodecs \ - -lopencv_imgproc \ - -lopencv_core \ - -llibpng \ - -ltensorflowlite \ - -llog -lz \ - --sysroot=$ANDROID_SYSROOT \ - -o lib/$CURRENT_ABI/${SO_FILE_NAME} - # (above) Always put opencv_core after all other opencv libs when linking statically - # (above) Put libavutil after other ffmpeg libraries - - cp ${LIBS_DIR}/_tensorflow_distribution/lib/${CURRENT_ABI}/libtensorflowlite.so lib/$CURRENT_ABI -} - - -mkdir ./data/models -cp ./modelsSRC/mobilenet_v2_deeplab_v3_256_myquant.tflite ./data/models/mModel.tflite -cp ./preferences-tflite.json ./data/preferences.json - -# Build the so -for i in ${ANDROID_ABI}; do - CURRENT_ABI=$i - buildlib -done - -#Export the plugin data folder -mkdir -p ${DESTINATION_PATH}/jpl/${PLUGIN_NAME}/ -zip -r ${JPL_FILE_NAME} data manifest.json lib -mv ${JPL_FILE_NAME} ${DESTINATION_PATH}/jpl/${PLUGIN_NAME}/ - -# Cleanup -# Remove cpu-features object after compilation -rm cpu-features.o -rm -rf lib -rm -r ./data/models -rm ./data/preferences.json diff --git a/GreenScreen/buildtfcc.sh b/GreenScreen/buildtfcc.sh deleted file mode 100644 index 2eef434..0000000 --- a/GreenScreen/buildtfcc.sh +++ /dev/null @@ -1,94 +0,0 @@ -#! /bin/bash -# Build the plugin for the project -if [ -z $DAEMON ]; then - DAEMON="./../../daemon" - echo "DAEMON not provided, building for ${DAEMON}" -fi - -if [ -z $CUDALIBS ]; then - CUDALIBS=~/anaconda3/envs/tf114/lib/ - echo "CUDALIBS not provided, building for ${CUDALIBS}" -fi - -if [ -z $PROCESSOR ]; then - PROCESSOR=GPU - echo "PROCESSOR not defined, building for GPU" -fi - -PLUGIN_NAME="GreenScreen" -JPL_FILE_NAME=${PLUGIN_NAME}".jpl" -SO_FILE_NAME="lib"${PLUGIN_NAME}".so" -DAEMON_SRC="${DAEMON}/src" -CONTRIB_PATH="${DAEMON}/contrib" -DESTINATION_PATH="./../build/" -PLUGINS_LIB="../lib" -LIBS_DIR="/home/${USER}/Libs" - - -CONTRIB_PLATFORM_CURT=x86_64 -CONTRIB_PLATFORM=${CONTRIB_PLATFORM_CURT}-linux-gnu - -mkdir -p lib/${CONTRIB_PLATFORM} -mkdir -p ${DESTINATION_PATH}/jpl - -# Compile -clang++ -std=c++17 -shared -fPIC \ --Wl,-Bsymbolic,-rpath,"\${ORIGIN}" \ --Wall -Wextra \ --Wno-unused-variable \ --Wno-unused-function \ --Wno-unused-parameter \ --D${PROCESSOR} \ --I"." \ --I${DAEMON_SRC} \ --I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include" \ --I"${CONTRIB_PATH}/${CONTRIB_PLATFORM}/include/opencv4" \ --I${LIBS_DIR}/_tensorflow_cc/include \ --I${LIBS_DIR}/_tensorflow_cc/include/third_party/eigen3 \ --I${PLUGINS_LIB} \ -main.cpp \ -videoSubscriber.cpp \ -pluginProcessor.cpp \ -pluginMediaHandler.cpp \ -TFInference.cpp \ -pluginInference.cpp \ -pluginParameters.cpp \ --L${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/ \ --L${CONTRIB_PATH}/${CONTRIB_PLATFORM}/lib/opencv4/3rdparty/ \ --L${LIBS_DIR}/_tensorflow_cc/lib/${CONTRIB_PLATFORM}-gpu61/ \ --lswscale \ --lavutil \ --lopencv_imgcodecs \ --lopencv_imgproc \ --lopencv_core \ --ltensorflow_cc \ --lpng \ --o lib/${CONTRIB_PLATFORM}/${SO_FILE_NAME} -# (above) Always put opencv_core after all other opencv libs -# (above) Always put avutil after all other ffmpeg libs -# (above) Always put png after all other libs - -cp ${LIBS_DIR}/_tensorflow_cc/lib/${CONTRIB_PLATFORM}-gpu61/libtensorflow_cc.so lib/$CONTRIB_PLATFORM/libtensorflow_cc.so.2 -cp /usr/lib/${CONTRIB_PLATFORM}/libswscale.so.4 lib/$CONTRIB_PLATFORM -cp /usr/lib/${CONTRIB_PLATFORM}/libavutil.so.55 lib/$CONTRIB_PLATFORM -cp /usr/lib/${CONTRIB_PLATFORM}/libpng16.so.16 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcudart.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcublas.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcufft.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcurand.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcusolver.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcusparse.so.10.0 lib/$CONTRIB_PLATFORM -cp ${CUDALIBS}libcudnn.so.7 lib/$CONTRIB_PLATFORM - -mkdir ./data/models -cp ./modelsSRC/mModel-resnet50float.pb ./data/models/mModel.pb -cp ./preferences-tfcc.json ./data/preferences.json - -zip -r ${JPL_FILE_NAME} data manifest.json lib -mv ${JPL_FILE_NAME} ${DESTINATION_PATH}/jpl/ - -# Cleanup -# Remove lib after compilation -rm -rf lib -rm ./data/models/mModel.pb -rm ./data/preferences.json diff --git a/GreenScreen/main.cpp b/GreenScreen/main.cpp index 658eba0..b14e289 100644 --- a/GreenScreen/main.cpp +++ b/GreenScreen/main.cpp @@ -26,7 +26,7 @@ #include "pluginMediaHandler.h" #ifdef WIN32 -#define EXPORT_PLUGIN __declspec (dllexport) +#define EXPORT_PLUGIN __declspec(dllexport) #else #define EXPORT_PLUGIN #endif @@ -34,9 +34,10 @@ #define GreenScreen_VERSION_MAJOR 1 #define GreenScreen_VERSION_MINOR 0 -extern "C" -{ -void pluginExit(void) { } +extern "C" { +void +pluginExit(void) +{} EXPORT_PLUGIN JAMI_PluginExitFunc JAMI_dynPluginInit(const JAMI_PluginAPI* api) @@ -44,18 +45,18 @@ JAMI_dynPluginInit(const JAMI_PluginAPI* api) std::cout << "**************************" << std::endl << std::endl; std::cout << "** GREENSCREEN PLUGIN **" << std::endl; std::cout << "**************************" << std::endl << std::endl; - std::cout << " Version " << GreenScreen_VERSION_MAJOR << "." << GreenScreen_VERSION_MINOR << std::endl; + std::cout << " Version " << GreenScreen_VERSION_MAJOR << "." << GreenScreen_VERSION_MINOR + << std::endl; // If invokeService doesn't return an error - if(api) - { + if (api) { std::map<std::string, std::string> ppm; api->invokeService(api, "getPluginPreferences", &ppm); std::string dataPath; api->invokeService(api, "getPluginDataPath", &dataPath); auto fmp = std::make_unique<jami::PluginMediaHandler>(std::move(ppm), std::move(dataPath)); - if(!api->manageComponent(api,"CallMediaHandlerManager", fmp.release())) { + if (!api->manageComponent(api, "CallMediaHandlerManager", fmp.release())) { return pluginExit; } } diff --git a/GreenScreen/manifest.json b/GreenScreen/manifest.json index d534b0d..49d8a79 100644 --- a/GreenScreen/manifest.json +++ b/GreenScreen/manifest.json @@ -1,5 +1,5 @@ { - "name": "GreenScreen", - "description" : "GreenScreen Plugin with Tensorflow 2.1.1", - "version" : "1.0" + "name": "GreenScreen", + "description" : "GreenScreen Plugin with Tensorflow 2.1.1", + "version" : "1.0" } diff --git a/GreenScreen/package.json b/GreenScreen/package.json new file mode 100644 index 0000000..b5f0c31 --- /dev/null +++ b/GreenScreen/package.json @@ -0,0 +1,20 @@ +{ + "name": "GreenScreen", + "version": "1.0", + "extractLibs": true, + "deps": [ + "ffmpeg", + "opencv"], + "defines": [ + "TFLITE=False", + "CPU=False"], + "custom_scripts": { + "pre_build": [ + "mkdir msvc" + ], + "build": [ + "cmake --build ./msvc --config Release" + ], + "post_build": [] + } +} diff --git a/GreenScreen/pluginInference.cpp b/GreenScreen/pluginInference.cpp index cb9d32a..9f7de15 100644 --- a/GreenScreen/pluginInference.cpp +++ b/GreenScreen/pluginInference.cpp @@ -15,51 +15,53 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #include "pluginInference.h" // Std libraries +#include "pluglog.h" #include <cstring> #include <numeric> -#include "pluglog.h" const char sep = separator(); const std::string TAG = "FORESEG"; namespace jami { -PluginInference::PluginInference(TFModel model) : TensorflowInference(model) +PluginInference::PluginInference(TFModel model) + : TensorflowInference(model) { #ifndef TFLITE - //Initialize TENSORFLOW_CC lib - static const char* kFakeName = "fake program name"; - int argc = 1; - char* fake_name_copy = strdup(kFakeName); - char** argv = &fake_name_copy; - tensorflow::port::InitMain(kFakeName, &argc, &argv); - if (argc > 1) { - Plog::log(Plog::LogPriority::INFO, "TENSORFLOW INIT", "Unknown argument " ); - } - free(fake_name_copy); -#endif //TFLITE + // Initialize TENSORFLOW_CC lib + static const char* kFakeName = "fake program name"; + int argc = 1; + char* fake_name_copy = strdup(kFakeName); + char** argv = &fake_name_copy; + tensorflow::port::InitMain(kFakeName, &argc, &argv); + if (argc > 1) { + Plog::log(Plog::LogPriority::INFO, "TENSORFLOW INIT", "Unknown argument "); + } + free(fake_name_copy); +#endif // TFLITE } -PluginInference::~PluginInference(){} +PluginInference::~PluginInference() {} #ifdef TFLITE std::pair<uint8_t*, std::vector<int>> PluginInference::getInput() { - // We assume that we have only one input - // Get the input index - int input = interpreter->inputs()[0]; + // We assume that we have only one input + // Get the input index + int input = interpreter->inputs()[0]; - uint8_t *inputDataPointer = interpreter->typed_tensor<uint8_t>(input); - // Get the input dimensions vector - std::vector<int> dims = getTensorDimensions(input); + uint8_t* inputDataPointer = interpreter->typed_tensor<uint8_t>(input); + // Get the input dimensions vector + std::vector<int> dims = getTensorDimensions(input); - return std::make_pair(inputDataPointer, dims); + return std::make_pair(inputDataPointer, dims); } // // Types returned by tensorflow @@ -81,142 +83,135 @@ PluginInference::getInput() std::vector<float> PluginInference::masksPredictions() const { - int outputIndex = interpreter->outputs()[0]; - std::vector<int> dims = getTensorDimensions(outputIndex); - int totalDimensions = 1; - for (size_t i = 0; i < dims.size(); i++) - { - totalDimensions *= dims[i]; - } - std::vector<float> out; - - int type = interpreter->tensor(outputIndex)->type; - switch(type) { - case 1: - { - float* outputDataPointer = interpreter->typed_tensor<float>(outputIndex); - std::vector<float> output(outputDataPointer, outputDataPointer + totalDimensions); - out=std::vector<float>(output.begin(), output.end()); - break; - } - case 2: - { - int* outputDataPointer = interpreter->typed_tensor<int>(outputIndex); - std::vector<int> output(outputDataPointer, outputDataPointer + totalDimensions); - out=std::vector<float>(output.begin(), output.end()); - break; - } - case 4: - { - int64_t* outputDataPointer = interpreter->typed_tensor<int64_t>(outputIndex); - std::vector<int64_t> output(outputDataPointer, outputDataPointer + totalDimensions); - out=std::vector<float>(output.begin(), output.end()); - break; - } - } - - return out; + int outputIndex = interpreter->outputs()[0]; + std::vector<int> dims = getTensorDimensions(outputIndex); + int totalDimensions = 1; + for (size_t i = 0; i < dims.size(); i++) { + totalDimensions *= dims[i]; + } + std::vector<float> out; + + int type = interpreter->tensor(outputIndex)->type; + switch (type) { + case 1: { + float* outputDataPointer = interpreter->typed_tensor<float>(outputIndex); + std::vector<float> output(outputDataPointer, outputDataPointer + totalDimensions); + out = std::vector<float>(output.begin(), output.end()); + break; + } + case 2: { + int* outputDataPointer = interpreter->typed_tensor<int>(outputIndex); + std::vector<int> output(outputDataPointer, outputDataPointer + totalDimensions); + out = std::vector<float>(output.begin(), output.end()); + break; + } + case 4: { + int64_t* outputDataPointer = interpreter->typed_tensor<int64_t>(outputIndex); + std::vector<int64_t> output(outputDataPointer, outputDataPointer + totalDimensions); + out = std::vector<float>(output.begin(), output.end()); + break; + } + } + + return out; } void PluginInference::setExpectedImageDimensions() { - // We assume that we have only one input - // Get the input index - int input = interpreter->inputs()[0]; - // Get the input dimensions vector - std::vector<int> dims = getTensorDimensions(input); - - imageWidth = dims.at(1); - imageHeight = dims.at(2); - imageNbChannels = dims.at(3); + // We assume that we have only one input + // Get the input index + int input = interpreter->inputs()[0]; + // Get the input dimensions vector + std::vector<int> dims = getTensorDimensions(input); + + imageWidth = dims.at(1); + imageHeight = dims.at(2); + imageNbChannels = dims.at(3); } -#else //TFLITE +#else // TFLITE // Given an image file name, read in the data, try to decode it as an image, // resize it to the requested size, and then scale the values as desired. void PluginInference::ReadTensorFromMat(const cv::Mat& image) { - imageTensor = tensorflow::Tensor(tensorflow::DataType::DT_FLOAT, tensorflow::TensorShape({ 1, image.cols, image.rows, 3 })); - float* p = imageTensor.flat<float>().data(); - cv::Mat temp(image.rows, image.cols, CV_32FC3, p); - image.convertTo(temp, CV_32FC3); + imageTensor = tensorflow::Tensor(tensorflow::DataType::DT_FLOAT, + tensorflow::TensorShape({1, image.cols, image.rows, 3})); + float* p = imageTensor.flat<float>().data(); + cv::Mat temp(image.rows, image.cols, CV_32FC3, p); + image.convertTo(temp, CV_32FC3); } std::vector<float> PluginInference::masksPredictions() const { - std::vector<int> dims; - int flatSize = 1; - int num_dimensions = outputs[0].shape().dims(); - for(int ii_dim=0; ii_dim<num_dimensions; ii_dim++) { - dims.push_back(outputs[0].shape().dim_size(ii_dim)); - flatSize *= outputs[0].shape().dim_size(ii_dim); - } - - std::vector<float> out; - int type = outputs[0].dtype(); - - switch(type) { - case tensorflow::DataType::DT_FLOAT: - { - for (int offset = 0; offset < flatSize; offset++) { - out.push_back(outputs[0].flat<float>()(offset)); - } - break; - } - case tensorflow::DataType::DT_INT32: - { - for (int offset = 0; offset < flatSize; offset++) { - out.push_back(static_cast<float> (outputs[0].flat<tensorflow::int32>()(offset))); - } - break; - } - case tensorflow::DataType::DT_INT64: - { - for (int offset = 0; offset < flatSize; offset++) { - out.push_back(static_cast<float> (outputs[0].flat<tensorflow::int64>()(offset))); - } - break; - } - default: - { - for (int offset = 0; offset < flatSize; offset++) { - out.push_back(0); - } - break; - } - } - return out; + std::vector<int> dims; + int flatSize = 1; + int num_dimensions = outputs[0].shape().dims(); + for (int ii_dim = 0; ii_dim < num_dimensions; ii_dim++) { + dims.push_back(outputs[0].shape().dim_size(ii_dim)); + flatSize *= outputs[0].shape().dim_size(ii_dim); + } + + std::vector<float> out; + int type = outputs[0].dtype(); + + switch (type) { + case tensorflow::DataType::DT_FLOAT: { + for (int offset = 0; offset < flatSize; offset++) { + out.push_back(outputs[0].flat<float>()(offset)); + } + break; + } + case tensorflow::DataType::DT_INT32: { + for (int offset = 0; offset < flatSize; offset++) { + out.push_back(static_cast<float>(outputs[0].flat<tensorflow::int32>()(offset))); + } + break; + } + case tensorflow::DataType::DT_INT64: { + for (int offset = 0; offset < flatSize; offset++) { + out.push_back(static_cast<float>(outputs[0].flat<tensorflow::int64>()(offset))); + } + break; + } + default: { + for (int offset = 0; offset < flatSize; offset++) { + out.push_back(0); + } + break; + } + } + return out; } void PluginInference::setExpectedImageDimensions() { - if (tfModel.dims[1] != 0) - imageWidth = tfModel.dims[1]; - if (tfModel.dims[2] != 0) - imageHeight = tfModel.dims[2]; - if (tfModel.dims[3] != 0) - imageNbChannels = tfModel.dims[3]; + if (tfModel.dims[1] != 0) + imageWidth = tfModel.dims[1]; + if (tfModel.dims[2] != 0) + imageHeight = tfModel.dims[2]; + if (tfModel.dims[3] != 0) + imageNbChannels = tfModel.dims[3]; } #endif int PluginInference::getImageWidth() const { - return imageWidth; + return imageWidth; } int PluginInference::getImageHeight() const { - return imageHeight; + return imageHeight; } int PluginInference::getImageNbChannels() const { - return imageNbChannels; + return imageNbChannels; } } // namespace jami diff --git a/GreenScreen/pluginInference.h b/GreenScreen/pluginInference.h index 37436af..8d405f8 100644 --- a/GreenScreen/pluginInference.h +++ b/GreenScreen/pluginInference.h @@ -15,7 +15,8 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #pragma once @@ -26,59 +27,58 @@ #include <opencv2/core.hpp> // STL #include <array> -#include <vector> -#include <tuple> #include <iostream> +#include <tuple> +#include <vector> namespace jami { -class PluginInference : public TensorflowInference { +class PluginInference : public TensorflowInference +{ public: - /** - * @brief PluginInference - * Is a type of supervised learning where we detect objects in images - * Draw a bounding boxes around them - * @param model - */ - PluginInference(TFModel model); - ~PluginInference(); + /** + * @brief PluginInference + * Is a type of supervised learning where we detect objects in images + * Draw a bounding boxes around them + * @param model + */ + PluginInference(TFModel model); + ~PluginInference(); #ifdef TFLITE - /** - * @brief getInput - * Returns the input where to fill the data - * Use this method if you know what you are doing, all the necessary checks - * on dimensions must be done on your part - * @return std::tuple<uint8_t *, std::vector<int>> - * The first element in the tuple is the pointer to the storage location - * The second element is a dimensions vector that will helps you make - * The necessary checks to make your data size match the input one - */ - std::pair<uint8_t*, std::vector<int>> getInput(); + /** + * @brief getInput + * Returns the input where to fill the data + * Use this method if you know what you are doing, all the necessary checks + * on dimensions must be done on your part + * @return std::tuple<uint8_t *, std::vector<int>> + * The first element in the tuple is the pointer to the storage location + * The second element is a dimensions vector that will helps you make + * The necessary checks to make your data size match the input one + */ + std::pair<uint8_t*, std::vector<int>> getInput(); #else - void ReadTensorFromMat(const cv::Mat& image); - -#endif //TFLITE - - std::vector<float> masksPredictions() const; + void ReadTensorFromMat(const cv::Mat& image); +#endif // TFLITE - /** - * @brief setExpectedImageDimensions - * Sets imageWidth and imageHeight from the sources - */ - void setExpectedImageDimensions(); + std::vector<float> masksPredictions() const; - // Getters - int getImageWidth() const; - int getImageHeight() const; - int getImageNbChannels() const; + /** + * @brief setExpectedImageDimensions + * Sets imageWidth and imageHeight from the sources + */ + void setExpectedImageDimensions(); + // Getters + int getImageWidth() const; + int getImageHeight() const; + int getImageNbChannels() const; private: - int imageWidth = 0; - int imageHeight = 0; - int imageNbChannels = 0; + int imageWidth = 0; + int imageHeight = 0; + int imageNbChannels = 0; }; } // namespace jami diff --git a/GreenScreen/pluginMediaHandler.cpp b/GreenScreen/pluginMediaHandler.cpp index c384e63..a9e4fe0 100644 --- a/GreenScreen/pluginMediaHandler.cpp +++ b/GreenScreen/pluginMediaHandler.cpp @@ -15,7 +15,8 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #include "pluginMediaHandler.h" @@ -28,83 +29,86 @@ const std::string TAG = "FORESEG"; namespace jami { -PluginMediaHandler::PluginMediaHandler(std::map<std::string, std::string>&& ppm, std::string&& datapath): - datapath_{datapath}, ppm_{ppm} +PluginMediaHandler::PluginMediaHandler(std::map<std::string, std::string>&& ppm, + std::string&& datapath) + : datapath_ {datapath} + , ppm_ {ppm} { - setGlobalPluginParameters(ppm_); - setId(datapath_); - mVS = std::make_shared<VideoSubscriber>(datapath_); + setGlobalPluginParameters(ppm_); + setId(datapath_); + mVS = std::make_shared<VideoSubscriber>(datapath_); } void PluginMediaHandler::notifyAVFrameSubject(const StreamData& data, jami::avSubjectPtr subject) { - Plog::log(Plog::LogPriority::INFO, TAG, "IN AVFRAMESUBJECT"); - std::ostringstream oss; - std::string direction = data.direction ? "Receive" : "Preview"; - oss << "NEW SUBJECT: [" << data.id << "," << direction << "]" << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, "IN AVFRAMESUBJECT"); + std::ostringstream oss; + std::string direction = data.direction ? "Receive" : "Preview"; + oss << "NEW SUBJECT: [" << data.id << "," << direction << "]" << std::endl; - bool preferredStreamDirection = false; - if (!ppm_.empty() && ppm_.find("streamslist") != ppm_.end()) { - Plog::log(Plog::LogPriority::INFO, TAG, "SET PARAMETERS"); - preferredStreamDirection = ppm_.at("streamslist")=="in"?true:false; - } - oss << "preferredStreamDirection " << preferredStreamDirection << std::endl; - if (data.type == StreamType::video && !data.direction && data.direction == preferredStreamDirection) { - subject->attach(mVS.get()); // my image - oss << "got my sent image attached" << std::endl; - } - else if (data.type == StreamType::video && data.direction && data.direction == preferredStreamDirection) - subject->attach(mVS.get()); // the image I receive from the others on the call + bool preferredStreamDirection = false; + if (!ppm_.empty() && ppm_.find("streamslist") != ppm_.end()) { + Plog::log(Plog::LogPriority::INFO, TAG, "SET PARAMETERS"); + preferredStreamDirection = ppm_.at("streamslist") == "in" ? true : false; + } + oss << "preferredStreamDirection " << preferredStreamDirection << std::endl; + if (data.type == StreamType::video && !data.direction + && data.direction == preferredStreamDirection) { + subject->attach(mVS.get()); // my image + oss << "got my sent image attached" << std::endl; + } else if (data.type == StreamType::video && data.direction + && data.direction == preferredStreamDirection) + subject->attach(mVS.get()); // the image I receive from the others on the call - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); } std::map<std::string, std::string> PluginMediaHandler::getCallMediaHandlerDetails() { - std::map<std::string, std::string> mediaHandlerDetails = {}; - mediaHandlerDetails["name"] = NAME; - mediaHandlerDetails["iconPath"] = datapath_ + sep + "icon.png"; - mediaHandlerDetails["pluginId"] = id(); + std::map<std::string, std::string> mediaHandlerDetails = {}; + mediaHandlerDetails["name"] = NAME; + mediaHandlerDetails["iconPath"] = datapath_ + sep + "icon.png"; + mediaHandlerDetails["pluginId"] = id(); - return mediaHandlerDetails; + return mediaHandlerDetails; } void PluginMediaHandler::setPreferenceAttribute(const std::string& key, const std::string& value) { - auto it = ppm_.find(key); - if (it != ppm_.end()) { - if (ppm_[key] != value) { - ppm_[key] = value; - if (key == "background") { - mVS->setBackground(value); - } - } - } + auto it = ppm_.find(key); + if (it != ppm_.end()) { + if (ppm_[key] != value) { + ppm_[key] = value; + if (key == "background") { + mVS->setBackground(value); + } + } + } } bool PluginMediaHandler::preferenceMapHasKey(const std::string& key) { - if (key == "background") { - return true; - } - return false; + if (key == "background") { + return true; + } + return false; } void PluginMediaHandler::detach() { - mVS->detach(); + mVS->detach(); } PluginMediaHandler::~PluginMediaHandler() { - std::ostringstream oss; - oss << " ~FORESEG Plugin" << std::endl; - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); - detach(); -} + std::ostringstream oss; + oss << " ~FORESEG Plugin" << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + detach(); } +} // namespace jami diff --git a/GreenScreen/pluginMediaHandler.h b/GreenScreen/pluginMediaHandler.h index 3bf71de..4748609 100644 --- a/GreenScreen/pluginMediaHandler.h +++ b/GreenScreen/pluginMediaHandler.h @@ -15,12 +15,13 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #pragma once -//Project +// Project #include "videoSubscriber.h" // Plugin @@ -31,24 +32,25 @@ using avSubjectPtr = std::weak_ptr<jami::Observable<AVFrame*>>; namespace jami { -class PluginMediaHandler : public jami::CallMediaHandler { +class PluginMediaHandler : public jami::CallMediaHandler +{ public: - PluginMediaHandler(std::map<std::string, std::string>&& ppm, std::string&& dataPath); - ~PluginMediaHandler() override; + PluginMediaHandler(std::map<std::string, std::string>&& ppm, std::string&& dataPath); + ~PluginMediaHandler() override; - virtual void notifyAVFrameSubject(const StreamData& data, avSubjectPtr subject) override; - virtual std::map<std::string, std::string> getCallMediaHandlerDetails() override; + virtual void notifyAVFrameSubject(const StreamData& data, avSubjectPtr subject) override; + virtual std::map<std::string, std::string> getCallMediaHandlerDetails() override; - virtual void detach() override; - virtual void setPreferenceAttribute(const std::string& key, const std::string& value) override; - virtual bool preferenceMapHasKey(const std::string& key) override; + virtual void detach() override; + virtual void setPreferenceAttribute(const std::string& key, const std::string& value) override; + virtual bool preferenceMapHasKey(const std::string& key) override; - std::shared_ptr<VideoSubscriber> mVS; + std::shared_ptr<VideoSubscriber> mVS; - std::string dataPath() const { return datapath_; } + std::string dataPath() const { return datapath_; } private: - const std::string datapath_; - std::map<std::string, std::string> ppm_; + const std::string datapath_; + std::map<std::string, std::string> ppm_; }; -} +} // namespace jami diff --git a/GreenScreen/pluginParameters.cpp b/GreenScreen/pluginParameters.cpp index 0729cbb..2d40b2f 100644 --- a/GreenScreen/pluginParameters.cpp +++ b/GreenScreen/pluginParameters.cpp @@ -18,7 +18,7 @@ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. */ -#include "pluginParameters.h"// Logger +#include "pluginParameters.h" // Logger #include "pluglog.h" PluginParameters pluginParameters; @@ -27,30 +27,31 @@ void setGlobalPluginParameters(std::map<std::string, std::string> pp) { if (!pp.empty()) { - if(pp.find("streamslist") != pp.end()) { + if (pp.find("streamslist") != pp.end()) { pluginParameters.stream = pp.at("streamslist"); Plog::log(Plog::LogPriority::INFO, "GLOBAL STREAM ", pluginParameters.stream); } - if(pp.find("modellist") != pp.end()) { + if (pp.find("modellist") != pp.end()) { pluginParameters.model = pp.at("modellist"); Plog::log(Plog::LogPriority::INFO, "GLOBAL MODEL ", pluginParameters.model); } - if(pp.find("background") != pp.end()) { + if (pp.find("background") != pp.end()) { pluginParameters.image = pp.at("background"); Plog::log(Plog::LogPriority::INFO, "GLOBAL IMAGE ", pluginParameters.image); } } } -void getGlobalPluginParameters(PluginParameters* mPluginParameters) +void +getGlobalPluginParameters(PluginParameters* mPluginParameters) { mPluginParameters->image = pluginParameters.image; mPluginParameters->model = pluginParameters.model; mPluginParameters->stream = pluginParameters.stream; } - -PluginParameters* getGlobalPluginParameters() +PluginParameters* +getGlobalPluginParameters() { return &pluginParameters; } \ No newline at end of file diff --git a/GreenScreen/pluginParameters.h b/GreenScreen/pluginParameters.h index c774aeb..6371d44 100644 --- a/GreenScreen/pluginParameters.h +++ b/GreenScreen/pluginParameters.h @@ -24,19 +24,20 @@ #include <string> #include <map> -struct PluginParameters { +struct PluginParameters +{ std::string stream = "out"; #ifdef TFLITE bool useGPU = false; std::string model = "mModel.tflite"; #else - #ifndef CPU - bool useGPU = true; - #else - bool useGPU = false; - #endif - std::string model = "mModel.pb"; -#endif //TFLITE +#ifndef CPU + bool useGPU = true; +#else + bool useGPU = false; +#endif + std::string model = "mModel.pb"; +#endif // TFLITE std::string image = "background2.png"; }; diff --git a/GreenScreen/pluginProcessor.cpp b/GreenScreen/pluginProcessor.cpp index d289b87..4ec733e 100644 --- a/GreenScreen/pluginProcessor.cpp +++ b/GreenScreen/pluginProcessor.cpp @@ -15,7 +15,8 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #include "pluginProcessor.h" @@ -23,9 +24,9 @@ #include <algorithm> #include <cstring> // OpenCV headers -#include <opencv2/imgproc.hpp> -#include <opencv2/imgcodecs.hpp> #include <opencv2/core.hpp> +#include <opencv2/imgcodecs.hpp> +#include <opencv2/imgproc.hpp> // Logger #include <pluglog.h> @@ -39,267 +40,262 @@ const std::string TAG = "FORESEG"; PluginParameters* mPluginParameters = getGlobalPluginParameters(); -namespace jami -{ +namespace jami { -PluginProcessor::PluginProcessor(const std::string& dataPath): -pluginInference{TFModel{dataPath + sep + "models" + sep + mPluginParameters->model}} +PluginProcessor::PluginProcessor(const std::string& dataPath) + : pluginInference {TFModel {dataPath + sep + "models" + sep + mPluginParameters->model}} { - initModel(); - setBackgroundImage(mPluginParameters->image); + initModel(); + setBackgroundImage(mPluginParameters->image); } void PluginProcessor::setBackgroundImage(const std::string& backgroundPath) { - cv::Size size = cv::Size{0,0}; - - if (!backgroundImage.empty()) - size = backgroundImage.size(); - - cv::Mat newBackgroundImage = cv::imread(backgroundPath); - if (newBackgroundImage.cols == 0) { - Plog::log(Plog::LogPriority::ERR, TAG, "Background image not Loaded"); - } - else { - Plog::log(Plog::LogPriority::INFO, TAG, "Background image Loaded"); - cv::cvtColor(newBackgroundImage, newBackgroundImage, cv::COLOR_BGR2RGB); - newBackgroundImage.convertTo(newBackgroundImage, CV_32FC3); - if (size.height) { - cv::resize(newBackgroundImage, newBackgroundImage, size); - backgroundRotation = 0; - } - backgroundImage = newBackgroundImage.clone(); - newBackgroundImage.release(); - hasBackground_ = true; - } + cv::Size size = cv::Size {0, 0}; + + if (!backgroundImage.empty()) + size = backgroundImage.size(); + + cv::Mat newBackgroundImage = cv::imread(backgroundPath); + if (newBackgroundImage.cols == 0) { + Plog::log(Plog::LogPriority::ERR, TAG, "Background image not Loaded"); + } else { + Plog::log(Plog::LogPriority::INFO, TAG, "Background image Loaded"); + cv::cvtColor(newBackgroundImage, newBackgroundImage, cv::COLOR_BGR2RGB); + newBackgroundImage.convertTo(newBackgroundImage, CV_32FC3); + if (size.height) { + cv::resize(newBackgroundImage, newBackgroundImage, size); + backgroundRotation = 0; + } + backgroundImage = newBackgroundImage.clone(); + newBackgroundImage.release(); + hasBackground_ = true; + } } void PluginProcessor::initModel() { - try { - pluginInference.init(); - } - catch (std::exception& e) { - Plog::log(Plog::LogPriority::ERR, TAG, e.what()); - } - std::ostringstream oss; - oss << "Model is allocated " << pluginInference.isAllocated(); - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + try { + pluginInference.init(); + } catch (std::exception& e) { + Plog::log(Plog::LogPriority::ERR, TAG, e.what()); + } + std::ostringstream oss; + oss << "Model is allocated " << pluginInference.isAllocated(); + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); } - #ifdef TFLITE void PluginProcessor::feedInput(const cv::Mat& frame) { - auto pair = pluginInference.getInput(); - uint8_t* inputPointer = pair.first; + auto pair = pluginInference.getInput(); + uint8_t* inputPointer = pair.first; - cv::Mat temp(frame.rows, frame.cols, CV_8UC3, inputPointer); - frame.convertTo(temp, CV_8UC3); + cv::Mat temp(frame.rows, frame.cols, CV_8UC3, inputPointer); + frame.convertTo(temp, CV_8UC3); - inputPointer = nullptr; + inputPointer = nullptr; } #else void PluginProcessor::feedInput(const cv::Mat& frame) { - pluginInference.ReadTensorFromMat(frame); + pluginInference.ReadTensorFromMat(frame); } -#endif //TFLITE +#endif // TFLITE int PluginProcessor::getBackgroundRotation() { - return backgroundRotation; + return backgroundRotation; } void PluginProcessor::setBackgroundRotation(int angle) { - if (backgroundRotation != angle && (backgroundRotation - angle) != 0) { - switch (backgroundRotation - angle) { - case 90: - cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_90_CLOCKWISE); - break; - case 180: - cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_180); - break; - case -180: - cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_180); - break; - case -90: - cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_90_COUNTERCLOCKWISE); - break; - } - backgroundRotation = angle; - } + if (backgroundRotation != angle && (backgroundRotation - angle) != 0) { + switch (backgroundRotation - angle) { + case 90: + cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_90_CLOCKWISE); + break; + case 180: + cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_180); + break; + case -180: + cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_180); + break; + case -90: + cv::rotate(backgroundImage, backgroundImage, cv::ROTATE_90_COUNTERCLOCKWISE); + break; + } + backgroundRotation = angle; + } } void -PluginProcessor::computePredictions() +PluginProcessor::computePredictions() { - // Run the graph - pluginInference.runGraph(); - auto predictions = pluginInference.masksPredictions(); + // Run the graph + pluginInference.runGraph(); + auto predictions = pluginInference.masksPredictions(); - // Save the predictions - computedMask = predictions; + // Save the predictions + computedMask = predictions; } void PluginProcessor::printMask() { - for (size_t i = 0; i < computedMask.size(); i++) - { - // Log the predictions - std::ostringstream oss; - oss << "\nclass: "<< computedMask[i] << std::endl; - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); - } + for (size_t i = 0; i < computedMask.size(); i++) { + // Log the predictions + std::ostringstream oss; + oss << "\nclass: " << computedMask[i] << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + } } - void copyByLine(uchar* frameData, uchar* applyMaskData, const int lineSize, cv::Size size) { - if (3 * size.width == lineSize) { - std::memcpy(frameData, applyMaskData, size.height * size.width * 3);; - } - else { - int rows = size.height; - int offset = 0; - int maskoffset = 0; - for (int i = 0; i < rows; i++) { - std::memcpy(frameData + offset, applyMaskData + maskoffset, lineSize); - offset += lineSize; - maskoffset += 3 * size.width; - } - } + if (3 * size.width == lineSize) { + std::memcpy(frameData, applyMaskData, size.height * size.width * 3); + ; + } else { + int rows = size.height; + int offset = 0; + int maskoffset = 0; + for (int i = 0; i < rows; i++) { + std::memcpy(frameData + offset, applyMaskData + maskoffset, lineSize); + offset += lineSize; + maskoffset += 3 * size.width; + } + } } void -PluginProcessor::drawMaskOnFrame(cv::Mat& frame, - cv::Mat& frameReduced, - std::vector<float>computedMask, - int lineSize, int angle) +PluginProcessor::drawMaskOnFrame( + cv::Mat& frame, cv::Mat& frameReduced, std::vector<float> computedMask, int lineSize, int angle) { - if (computedMask.empty()) { - return; - } - if (previousMasks[0].empty()) { - previousMasks[0] = cv::Mat(frameReduced.rows, frameReduced.cols, CV_32FC1, double(0.)); - previousMasks[1] = cv::Mat(frameReduced.rows, frameReduced.cols, CV_32FC1, double(0.)); - } - int maskSize = static_cast<int> (std::sqrt(computedMask.size())); - cv::Mat maskImg(maskSize, maskSize, CV_32FC1, computedMask.data()); - - rotateFrame(-angle, maskImg); + if (computedMask.empty()) { + return; + } + if (previousMasks[0].empty()) { + previousMasks[0] = cv::Mat(frameReduced.rows, frameReduced.cols, CV_32FC1, double(0.)); + previousMasks[1] = cv::Mat(frameReduced.rows, frameReduced.cols, CV_32FC1, double(0.)); + } + int maskSize = static_cast<int>(std::sqrt(computedMask.size())); + cv::Mat maskImg(maskSize, maskSize, CV_32FC1, computedMask.data()); + + rotateFrame(-angle, maskImg); #ifdef TFLITE - for (int i = 0; i < maskImg.cols; i++) { - for (int j = 0; j < maskImg.rows; j++) { - if (maskImg.at<float>(j, i) == 15) - maskImg.at<float>(j, i) = 255.; - else - maskImg.at<float>(j, i) = (float)((int)((0.6 * maskImg.at<float>(j, i) + 0.3 * previousMasks[0].at<float>(j, i) + 0.1 * previousMasks[1].at<float>(j, i))) % 256); - } - } + for (int i = 0; i < maskImg.cols; i++) { + for (int j = 0; j < maskImg.rows; j++) { + if (maskImg.at<float>(j, i) == 15) + maskImg.at<float>(j, i) = 255.; + else + maskImg.at<float>(j, i) = (float) ((int) ((0.6 * maskImg.at<float>(j, i) + + 0.3 * previousMasks[0].at<float>(j, i) + + 0.1 * previousMasks[1].at<float>(j, i))) + % 256); + } + } #else // TFLITE - cv::resize(maskImg, maskImg, cv::Size(frameReduced.cols, frameReduced.rows)); - - double m, M; - cv::minMaxLoc(maskImg, &m, &M); - - if (M < 2) { //avoid detection if there is any one in frame - maskImg = 0. * maskImg; - } - else { - for (int i = 0; i < maskImg.cols; i++) { - for (int j = 0; j < maskImg.rows; j++) { - maskImg.at<float>(j, i) = (maskImg.at<float>(j, i) - m) / (M - m); - - if (maskImg.at<float>(j, i) < 0.4) - maskImg.at<float>(j, i) = 0.; - else if (maskImg.at<float>(j, i) < 0.7) { - float value = maskImg.at<float>(j, i) * 0.6 + previousMasks[0].at<float>(j, i) * 0.3 + previousMasks[1].at<float>(j, i) * 0.1; - maskImg.at<float>(j, i) = 0.; - if (value > 0.7) - maskImg.at<float>(j, i) = 1.; - } - else - maskImg.at<float>(j, i) = 1.; - } - } - } + cv::resize(maskImg, maskImg, cv::Size(frameReduced.cols, frameReduced.rows)); + + double m, M; + cv::minMaxLoc(maskImg, &m, &M); + + if (M < 2) { // avoid detection if there is any one in frame + maskImg = 0. * maskImg; + } else { + for (int i = 0; i < maskImg.cols; i++) { + for (int j = 0; j < maskImg.rows; j++) { + maskImg.at<float>(j, i) = (maskImg.at<float>(j, i) - m) / (M - m); + + if (maskImg.at<float>(j, i) < 0.4) + maskImg.at<float>(j, i) = 0.; + else if (maskImg.at<float>(j, i) < 0.7) { + float value = maskImg.at<float>(j, i) * 0.6 + + previousMasks[0].at<float>(j, i) * 0.3 + + previousMasks[1].at<float>(j, i) * 0.1; + maskImg.at<float>(j, i) = 0.; + if (value > 0.7) + maskImg.at<float>(j, i) = 1.; + } else + maskImg.at<float>(j, i) = 1.; + } + } + } #endif - previousMasks[1] = previousMasks[0].clone(); - previousMasks[0] = maskImg.clone(); + previousMasks[1] = previousMasks[0].clone(); + previousMasks[0] = maskImg.clone(); - kSize = cv::Size(maskImg.cols * 0.05, maskImg.rows * 0.05); - if (kSize.height % 2 == 0) - kSize.height -= 1; - if (kSize.width % 2 == 0) - kSize.width -= 1; + kSize = cv::Size(maskImg.cols * 0.05, maskImg.rows * 0.05); + if (kSize.height % 2 == 0) + kSize.height -= 1; + if (kSize.width % 2 == 0) + kSize.width -= 1; #ifndef TFLITE - cv::dilate(maskImg, maskImg, cv::getStructuringElement(cv::MORPH_CROSS, kSize)); - maskImg = maskImg * 255.; + cv::dilate(maskImg, maskImg, cv::getStructuringElement(cv::MORPH_CROSS, kSize)); + maskImg = maskImg * 255.; #endif - GaussianBlur (maskImg, maskImg, kSize, 0); //mask from 0 to 255. - maskImg = maskImg / 255.; + GaussianBlur(maskImg, maskImg, kSize, 0); // mask from 0 to 255. + maskImg = maskImg / 255.; - cv::Mat applyMask = frameReduced.clone(); - cv::Mat roiMaskImg = maskImg.clone(); - cv::Mat roiMaskImgComplementary = 1. - roiMaskImg; //mask from 1. to 0 + cv::Mat applyMask = frameReduced.clone(); + cv::Mat roiMaskImg = maskImg.clone(); + cv::Mat roiMaskImgComplementary = 1. - roiMaskImg; // mask from 1. to 0 - std::vector<cv::Mat> channels; - std::vector<cv::Mat> channelsComplementary; + std::vector<cv::Mat> channels; + std::vector<cv::Mat> channelsComplementary; - channels.emplace_back(roiMaskImg); - channels.emplace_back(roiMaskImg); - channels.emplace_back(roiMaskImg); - channelsComplementary.emplace_back(roiMaskImgComplementary); - channelsComplementary.emplace_back(roiMaskImgComplementary); - channelsComplementary.emplace_back(roiMaskImgComplementary); + channels.emplace_back(roiMaskImg); + channels.emplace_back(roiMaskImg); + channels.emplace_back(roiMaskImg); + channelsComplementary.emplace_back(roiMaskImgComplementary); + channelsComplementary.emplace_back(roiMaskImgComplementary); + channelsComplementary.emplace_back(roiMaskImgComplementary); - cv::merge(channels, roiMaskImg); - cv::merge(channelsComplementary, roiMaskImgComplementary); + cv::merge(channels, roiMaskImg); + cv::merge(channelsComplementary, roiMaskImgComplementary); - int origType = frameReduced.type(); - int roiMaskType = roiMaskImg.type(); + int origType = frameReduced.type(); + int roiMaskType = roiMaskImg.type(); - applyMask.convertTo(applyMask, roiMaskType); - applyMask = applyMask.mul(roiMaskImg); - applyMask += backgroundImage.mul(roiMaskImgComplementary); - applyMask.convertTo(applyMask, origType); + applyMask.convertTo(applyMask, roiMaskType); + applyMask = applyMask.mul(roiMaskImg); + applyMask += backgroundImage.mul(roiMaskImgComplementary); + applyMask.convertTo(applyMask, origType); - cv::resize(applyMask, applyMask, cv::Size(frame.cols, frame.rows)); + cv::resize(applyMask, applyMask, cv::Size(frame.cols, frame.rows)); - copyByLine(frame.data, applyMask.data, lineSize, cv::Size(frame.cols, frame.rows)); + copyByLine(frame.data, applyMask.data, lineSize, cv::Size(frame.cols, frame.rows)); } void PluginProcessor::rotateFrame(int angle, cv::Mat& mat) { - if (angle != 0) { - switch (angle) { - case -90: - cv::rotate(mat, mat, cv::ROTATE_90_COUNTERCLOCKWISE); - break; - case 180: - cv::rotate(mat, mat, cv::ROTATE_180); - break; - case -180: - cv::rotate(mat, mat, cv::ROTATE_180); - break; - case 90: - cv::rotate(mat, mat, cv::ROTATE_90_CLOCKWISE); - break; - } - } + if (angle != 0) { + switch (angle) { + case -90: + cv::rotate(mat, mat, cv::ROTATE_90_COUNTERCLOCKWISE); + break; + case 180: + cv::rotate(mat, mat, cv::ROTATE_180); + break; + case -180: + cv::rotate(mat, mat, cv::ROTATE_180); + break; + case 90: + cv::rotate(mat, mat, cv::ROTATE_90_CLOCKWISE); + break; + } + } } bool diff --git a/GreenScreen/pluginProcessor.h b/GreenScreen/pluginProcessor.h index 8224d80..528988f 100644 --- a/GreenScreen/pluginProcessor.h +++ b/GreenScreen/pluginProcessor.h @@ -15,18 +15,19 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #pragma once // STL #include <condition_variable> #include <cstdint> +#include <map> #include <memory> #include <mutex> #include <thread> #include <vector> -#include <map> // Filters #include "pluginInference.h" // AvFrame @@ -41,50 +42,55 @@ extern "C" { namespace jami { -class PluginProcessor { +class PluginProcessor +{ public: - PluginProcessor(const std::string& dataPath); + PluginProcessor(const std::string& dataPath); - void initModel(); - /** - * @brief feedInput - * Takes a frame and feeds it to the model storage for predictions - * @param frame - */ - void feedInput(const cv::Mat& frame); + void initModel(); + /** + * @brief feedInput + * Takes a frame and feeds it to the model storage for predictions + * @param frame + */ + void feedInput(const cv::Mat& frame); - /** - * @brief computePredictions - * Uses the model to compute the predictions and store them in - * computedPredictions - */ - void computePredictions(); + /** + * @brief computePredictions + * Uses the model to compute the predictions and store them in + * computedPredictions + */ + void computePredictions(); - void printMask(); - void drawMaskOnFrame(cv::Mat& frame, cv::Mat& frameReduced, std::vector<float>computedMask, int lineSize, int angle); - int getBackgroundRotation(); - void setBackgroundRotation(int angle); - void setBackgroundImage(const std::string& backgroundPath); - void rotateFrame(int angle, cv::Mat& mat); + void printMask(); + void drawMaskOnFrame(cv::Mat& frame, + cv::Mat& frameReduced, + std::vector<float> computedMask, + int lineSize, + int angle); + int getBackgroundRotation(); + void setBackgroundRotation(int angle); + void setBackgroundImage(const std::string& backgroundPath); + void rotateFrame(int angle, cv::Mat& mat); bool hasBackground() const; - // Output predictions - std::vector<float> computedMask; + // Output predictions + std::vector<float> computedMask; - cv::Mat previousMasks[2]; - cv::Mat backgroundImage; + cv::Mat previousMasks[2]; + cv::Mat backgroundImage; - cv::Size kSize; - float scaleX = 0; - float scaleY = 0; + cv::Size kSize; + float scaleX = 0; + float scaleY = 0; - PluginInference pluginInference; - std::string backgroundPath; + PluginInference pluginInference; + std::string backgroundPath; private: - // Frame - cv::Mat frame; - int backgroundRotation = 0; + // Frame + cv::Mat frame; + int backgroundRotation = 0; bool hasBackground_ = false; }; } // namespace jami diff --git a/GreenScreen/videoSubscriber.cpp b/GreenScreen/videoSubscriber.cpp index 4a6fba3..f137584 100644 --- a/GreenScreen/videoSubscriber.cpp +++ b/GreenScreen/videoSubscriber.cpp @@ -15,19 +15,20 @@ * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 + * USA. */ #include "videoSubscriber.h" // Use for display rotation matrix extern "C" { -#include <libavutil/display.h> #include <accel.h> +#include <libavutil/display.h> } // Opencv processing -#include <opencv2/imgproc.hpp> #include <opencv2/imgcodecs.hpp> +#include <opencv2/imgproc.hpp> // LOGGING #include <pluglog.h> @@ -37,167 +38,178 @@ const char sep = separator(); namespace jami { -VideoSubscriber::VideoSubscriber(const std::string& dataPath): path_{dataPath}, -pluginProcessor{dataPath} +VideoSubscriber::VideoSubscriber(const std::string& dataPath) + : path_ {dataPath} + , pluginProcessor {dataPath} { - /** - * Waits for new frames and then process them - * Writes the predictions in computedPredictions - **/ - processFrameThread = std::thread([this] { - while (running) { - std::unique_lock<std::mutex> l(inputLock); - inputCv.wait(l, [this] { return not running or newFrame; }); - if (not running) { - break; - } - - pluginProcessor.feedInput(fcopy.resizedFrameRGB); - newFrame = false; - /** Unclock the mutex, this way we let the other thread - * copy new data while we are processing the old one - **/ - l.unlock(); - pluginProcessor.computePredictions(); - } - }); + /** + * Waits for new frames and then process them + * Writes the predictions in computedPredictions + **/ + processFrameThread = std::thread([this] { + while (running) { + std::unique_lock<std::mutex> l(inputLock); + inputCv.wait(l, [this] { return not running or newFrame; }); + if (not running) { + break; + } + + pluginProcessor.feedInput(fcopy.resizedFrameRGB); + newFrame = false; + /** Unclock the mutex, this way we let the other thread + * copy new data while we are processing the old one + **/ + l.unlock(); + pluginProcessor.computePredictions(); + } + }); } VideoSubscriber::~VideoSubscriber() { - std::ostringstream oss; - oss << "~MediaProcessor" << std::endl; - stop(); - processFrameThread.join(); - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + std::ostringstream oss; + oss << "~MediaProcessor" << std::endl; + stop(); + processFrameThread.join(); + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); } void -VideoSubscriber::update(jami::Observable<AVFrame*> *, AVFrame* const &iFrame) +VideoSubscriber::update(jami::Observable<AVFrame*>*, AVFrame* const& iFrame) { - if (pluginProcessor.pluginInference.isAllocated() && pluginProcessor.hasBackground()) { - if (!iFrame) - return; - AVFrame * pluginFrame = const_cast<AVFrame *>(iFrame); - - //====================================================================================== - // GET FRAME ROTATION - AVFrameSideData* side_data = - av_frame_get_side_data(iFrame, AV_FRAME_DATA_DISPLAYMATRIX); - - int angle{ 0 }; - if (side_data) { - auto matrix_rotation = reinterpret_cast<int32_t*>(side_data->data); - angle = static_cast<int>(av_display_rotation_get(matrix_rotation)); - } - pluginFrame = transferToMainMemory(pluginFrame, AV_PIX_FMT_NV12); - - //====================================================================================== - // GET RAW FRAME - // Use a non-const Frame - // Convert input frame to RGB - int inputHeight = pluginFrame->height; - int inputWidth = pluginFrame->width; - - fcopy.originalSize = cv::Size{inputWidth, inputHeight}; - FrameUniquePtr bgrFrame = scaler.convertFormat(pluginFrame, AV_PIX_FMT_RGB24); - cv::Mat frame = - cv::Mat{bgrFrame->height, bgrFrame->width, CV_8UC3, bgrFrame->data[0], - static_cast<size_t>(bgrFrame->linesize[0])}; - // First clone the frame as the original one is unusable because of - // linespace - - cv::Mat clone = frame.clone(); - //====================================================================================== - - pluginProcessor.setBackgroundRotation(angle); - - if (firstRun) { - pluginProcessor.pluginInference.setExpectedImageDimensions(); - fcopy.resizedSize = cv::Size{pluginProcessor.pluginInference.getImageWidth(), pluginProcessor.pluginInference.getImageHeight()}; - - cv::resize(clone, fcopy.resizedFrameRGB, fcopy.resizedSize); - pluginProcessor.rotateFrame(angle, fcopy.resizedFrameRGB); - - cv::resize(pluginProcessor.backgroundImage, pluginProcessor.backgroundImage, fcopy.resizedSize); - - firstRun = false; - } - - if (!newFrame) { - std::lock_guard<std::mutex> l(inputLock); - cv::resize(clone, fcopy.resizedFrameRGB, fcopy.resizedSize); - pluginProcessor.rotateFrame(angle, fcopy.resizedFrameRGB); - newFrame = true; - inputCv.notify_all(); - } - - fcopy.predictionsFrameRGB = frame; - fcopy.predictionsResizedFrameRGB = fcopy.resizedFrameRGB.clone(); - pluginProcessor.rotateFrame(-angle, fcopy.predictionsResizedFrameRGB); - pluginProcessor.drawMaskOnFrame(fcopy.predictionsFrameRGB, fcopy.predictionsResizedFrameRGB, - pluginProcessor.computedMask, bgrFrame->linesize[0], angle); - - //====================================================================================== - // REPLACE AVFRAME DATA WITH FRAME DATA - if (bgrFrame && bgrFrame->data[0]) { - uint8_t* frameData = bgrFrame->data[0]; - if(angle == 90 || angle == -90) { - std::memmove(frameData, fcopy.predictionsFrameRGB.data, static_cast<size_t>(pluginFrame->width*pluginFrame->height*3) * sizeof(uint8_t)); - } - } - // Copy Frame meta data - if (bgrFrame && pluginFrame) { - av_frame_copy_props(bgrFrame.get(), pluginFrame); - scaler.moveFrom(pluginFrame, bgrFrame.get()); - } - - // Remove the pointer - pluginFrame = nullptr; - } + if (pluginProcessor.pluginInference.isAllocated() && pluginProcessor.hasBackground()) { + if (!iFrame) + return; + AVFrame* pluginFrame = const_cast<AVFrame*>(iFrame); + + //====================================================================================== + // GET FRAME ROTATION + AVFrameSideData* side_data = av_frame_get_side_data(iFrame, AV_FRAME_DATA_DISPLAYMATRIX); + + int angle {0}; + if (side_data) { + auto matrix_rotation = reinterpret_cast<int32_t*>(side_data->data); + angle = static_cast<int>(av_display_rotation_get(matrix_rotation)); + } + pluginFrame = transferToMainMemory(pluginFrame, AV_PIX_FMT_NV12); + + //====================================================================================== + // GET RAW FRAME + // Use a non-const Frame + // Convert input frame to RGB + int inputHeight = pluginFrame->height; + int inputWidth = pluginFrame->width; + + fcopy.originalSize = cv::Size {inputWidth, inputHeight}; + FrameUniquePtr bgrFrame = scaler.convertFormat(pluginFrame, AV_PIX_FMT_RGB24); + cv::Mat frame = cv::Mat {bgrFrame->height, + bgrFrame->width, + CV_8UC3, + bgrFrame->data[0], + static_cast<size_t>(bgrFrame->linesize[0])}; + // First clone the frame as the original one is unusable because of + // linespace + + cv::Mat clone = frame.clone(); + //====================================================================================== + + pluginProcessor.setBackgroundRotation(angle); + + if (firstRun) { + pluginProcessor.pluginInference.setExpectedImageDimensions(); + fcopy.resizedSize = cv::Size {pluginProcessor.pluginInference.getImageWidth(), + pluginProcessor.pluginInference.getImageHeight()}; + + cv::resize(clone, fcopy.resizedFrameRGB, fcopy.resizedSize); + pluginProcessor.rotateFrame(angle, fcopy.resizedFrameRGB); + + cv::resize(pluginProcessor.backgroundImage, + pluginProcessor.backgroundImage, + fcopy.resizedSize); + + firstRun = false; + } + + if (!newFrame) { + std::lock_guard<std::mutex> l(inputLock); + cv::resize(clone, fcopy.resizedFrameRGB, fcopy.resizedSize); + pluginProcessor.rotateFrame(angle, fcopy.resizedFrameRGB); + newFrame = true; + inputCv.notify_all(); + } + + fcopy.predictionsFrameRGB = frame; + fcopy.predictionsResizedFrameRGB = fcopy.resizedFrameRGB.clone(); + pluginProcessor.rotateFrame(-angle, fcopy.predictionsResizedFrameRGB); + pluginProcessor.drawMaskOnFrame(fcopy.predictionsFrameRGB, + fcopy.predictionsResizedFrameRGB, + pluginProcessor.computedMask, + bgrFrame->linesize[0], + angle); + + //====================================================================================== + // REPLACE AVFRAME DATA WITH FRAME DATA + if (bgrFrame && bgrFrame->data[0]) { + uint8_t* frameData = bgrFrame->data[0]; + if (angle == 90 || angle == -90) { + std::memmove(frameData, + fcopy.predictionsFrameRGB.data, + static_cast<size_t>(pluginFrame->width * pluginFrame->height * 3) + * sizeof(uint8_t)); + } + } + // Copy Frame meta data + if (bgrFrame && pluginFrame) { + av_frame_copy_props(bgrFrame.get(), pluginFrame); + scaler.moveFrom(pluginFrame, bgrFrame.get()); + } + + // Remove the pointer + pluginFrame = nullptr; + } } void -VideoSubscriber::attached(jami::Observable<AVFrame*> *observable) +VideoSubscriber::attached(jami::Observable<AVFrame*>* observable) { - std::ostringstream oss; - oss << "::Attached ! " << std::endl; - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); - observable_ = observable; + std::ostringstream oss; + oss << "::Attached ! " << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + observable_ = observable; } void -VideoSubscriber::detached(jami::Observable<AVFrame*> *) +VideoSubscriber::detached(jami::Observable<AVFrame*>*) { - firstRun = true; - observable_ = nullptr; - std::ostringstream oss; - oss << "::Detached()" << std::endl; - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + firstRun = true; + observable_ = nullptr; + std::ostringstream oss; + oss << "::Detached()" << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); } void VideoSubscriber::detach() { - if (observable_) { - firstRun = true; - std::ostringstream oss; - oss << "::Calling detach()" << std::endl; - Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); - observable_->detach(this); - } + if (observable_) { + firstRun = true; + std::ostringstream oss; + oss << "::Calling detach()" << std::endl; + Plog::log(Plog::LogPriority::INFO, TAG, oss.str()); + observable_->detach(this); + } } void VideoSubscriber::stop() { - running = false; - inputCv.notify_all(); + running = false; + inputCv.notify_all(); } void VideoSubscriber::setBackground(const std::string& backgroundPath) { - pluginProcessor.setBackgroundImage(backgroundPath); -} + pluginProcessor.setBackgroundImage(backgroundPath); } +} // namespace jami diff --git a/GreenScreen/videoSubscriber.h b/GreenScreen/videoSubscriber.h index c7ffd17..70a2290 100644 --- a/GreenScreen/videoSubscriber.h +++ b/GreenScreen/videoSubscriber.h @@ -26,7 +26,7 @@ extern "C" { } #include <observer.h> -//STl +// STl #include <map> #include <thread> #include <condition_variable> @@ -40,8 +40,9 @@ extern "C" { #include "pluginProcessor.h" namespace jami { - -class FrameCopy { + +class FrameCopy +{ public: // This frame is a resized version of the original in RGB format cv::Mat resizedFrameRGB; @@ -53,25 +54,25 @@ public: cv::Mat predictionsResizedFrameRGB; }; -class VideoSubscriber : public jami::Observer<AVFrame*> { +class VideoSubscriber : public jami::Observer<AVFrame*> +{ public: VideoSubscriber(const std::string& dataPath); ~VideoSubscriber(); - virtual void update(jami::Observable<AVFrame*> *, AVFrame* const &) override; - virtual void attached(jami::Observable<AVFrame*> *) override; - virtual void detached(jami::Observable<AVFrame*> *) override; + virtual void update(jami::Observable<AVFrame*>*, AVFrame* const&) override; + virtual void attached(jami::Observable<AVFrame*>*) override; + virtual void detached(jami::Observable<AVFrame*>*) override; void detach(); void stop(); void setBackground(const std::string& backgroundPath); - private: // Observer pattern - Observable<AVFrame*> *observable_ = nullptr; + Observable<AVFrame*>* observable_ = nullptr; - //Data + // Data std::string path_; // Frame @@ -86,11 +87,11 @@ private: std::condition_variable inputCv; // Status variables of the processing - bool firstRun{true}; - bool running{true}; - bool newFrame{false}; + bool firstRun {true}; + bool running {true}; + bool newFrame {false}; - //std::shared_ptr<PluginProcessor> pluginProcessor; + // std::shared_ptr<PluginProcessor> pluginProcessor; PluginProcessor pluginProcessor; }; -} +} // namespace jami diff --git a/assemblePlugin.py b/assemble-plugin.py similarity index 65% rename from assemblePlugin.py rename to assemble-plugin.py index 2596de8..96e307c 100644 --- a/assemblePlugin.py +++ b/assemble-plugin.py @@ -5,38 +5,45 @@ import subprocess from zipfile import ZipFile import platform + def parser(): parser = argparse.ArgumentParser(description='Build some plugins.') parser.add_argument('--plugins', type=str, - help='Names of plugins to be build') + help='Names of plugins to be build') + parser.add_argument('--extraPath', type=str, default="", + help='output intermediate Path') args = parser.parse_args() return args + def main(): args = parser() - + system = platform.system().lower() if system == "linux" or system == "linux2": osBuildPath = "/build-local" + distribution = "x86_64-linux-gnu" elif system == "darwin": sys.exit("Plugins not supported on MacOS and IOS") elif system == "windows": osBuildPath = "/msvc" + distribution = "x64-windows" plugins = args.plugins.split(',') for plugin in plugins: root = os.path.dirname(os.path.abspath(__file__)) - outputJPL = root + "/build/" + plugin + "/" + plugin + ".jpl" - outputBuild = root + "/"+ plugin + osBuildPath + "/jpl" - + outputJPL = root + "/build/" + distribution + \ + "/" + args.extraPath + "/" + plugin + ".jpl" + outputBuild = root + "/" + plugin + osBuildPath + "/jpl" + with ZipFile(outputJPL, 'w') as zipObj: for folderName, subfolders, filenames in os.walk(outputBuild): for filename in filenames: filePath = os.path.join(folderName, filename) - zipObj.write(filePath, folderName.split("/")[-1][4:]+"/"+filename) - + zipObj.write(filePath, folderName.split("/") + [-1][4:] + "/" + filename) -if __name__=='__main__': - main() \ No newline at end of file +if __name__ == '__main__': + main() diff --git a/build-plugin.py b/build-plugin.py new file mode 100644 index 0000000..d96e575 --- /dev/null +++ b/build-plugin.py @@ -0,0 +1,137 @@ +#!/usr/bin/env python3 +# +# This script must unify the Plugins build for +# every project and Operational System + +import os +import sys +import platform +import argparse +import subprocess +import multiprocessing + +IOS_DISTRIBUTION_NAME = "ios" +OSX_DISTRIBUTION_NAME = "osx" +ANDROID_DISTRIBUTION_NAME = "android" +WIN32_DISTRIBUTION_NAME = "win32" +UBUNTU_DISTRIBUTION_NAME = "ubuntu" + +# vs vars +win_sdk_default = '10.0.16299.0' +win_toolset_default = 'v142' + + +def parse(): + parser = argparse.ArgumentParser(description='Builds Plugins projects') + parser.add_argument('--projects', type=str, + help='Select plugins to be build.') + parser.add_argument('--distribution') + parser.add_argument('--processor', type=str, default="GPU", + help='Runtime plugin CPU/GPU setting.') + + dist = choose_distribution() + + if dist == WIN32_DISTRIBUTION_NAME: + parser.add_argument('--toolset', default=win_toolset_default, type=str, + help='Windows use only, specify Visual Studio toolset version') + parser.add_argument('--sdk', default=win_sdk_default, type=str, + help='Windows use only, specify Windows SDK version') + + args = parser.parse_args() + args.projects = args.projects.split(',') + args.processor = args.processor.split(',') + + if (args.distribution is not None): + args.distribution = args.distribution.lower() + else: + args.distribution = dist + + if (len(args.processor) == 1): + args.processor *= len(args.projects) + + validate_args(args) + return args + + +def validate_args(parsed_args): + """Validate the args values, exit if error is found""" + + # Filter unsupported distributions. + supported_distros = [ + ANDROID_DISTRIBUTION_NAME, UBUNTU_DISTRIBUTION_NAME, + WIN32_DISTRIBUTION_NAME + ] + + if parsed_args.distribution not in supported_distros: + print('Distribution \'{0}\' not supported.\nChoose one of: {1}'.format( + parsed_args.distribution, ', '.join(supported_distros) + )) + sys.exit(1) + + if (len(parsed_args.processor) != len(parsed_args.projects)): + sys.exit('Processor must be single or the same size as projects.') + + for processor in parsed_args.processor: + if (processor not in ['GPU', 'CPU']): + sys.exit('Processor can only be GPU or CPU.') + + +def choose_distribution(): + system = platform.system().lower() + + if system == "linux" or system == "linux2": + if os.path.isfile("/etc/arch-release"): + return "arch" + with open("/etc/os-release") as f: + for line in f: + k, v = line.split("=") + if k.strip() == 'ID': + return v.strip().replace('"', '').split(' ')[0] + elif system == "darwin": + return OSX_DISTRIBUTION_NAME + elif system == "windows": + return WIN32_DISTRIBUTION_NAME + + return 'Unknown' + + +def buildPlugin(pluginPath, processor, distribution): + if distribution == WIN32_DISTRIBUTION_NAME: + return subprocess.run([ + sys.executable, os.path.join( + os.getcwd(), pluginPath + "/build-windows.py"), + "--toolset", args.toolset, + "--sdk", args.sdk + ], check=True) + + environ = os.environ.copy() + + install_args = [] + + if distribution == ANDROID_DISTRIBUTION_NAME: + install_args.append('-t') + install_args.append(ANDROID_DISTRIBUTION_NAME) + if processor: + install_args.append('-c') + install_args.append(processor) + install_args.append('-p') + install_args.append(str(multiprocessing.cpu_count())) + + return subprocess.run([pluginPath + "/build.sh"] + + install_args, env=environ, check=True) + + +def main(): + args = parse() + currentDir = os.getcwd() + + for i, plugin in enumerate(args.projects): + os.chdir(currentDir + "/" + plugin) + buildPlugin( + currentDir + "/" + plugin, + args.processor[i], + args.distribution) + + +if __name__ == "__main__": + main() diff --git a/contrib/build-dependencies.sh b/contrib/build-dependencies.sh new file mode 100755 index 0000000..666888a --- /dev/null +++ b/contrib/build-dependencies.sh @@ -0,0 +1,150 @@ +#! /bin/bash +# Build Jami daemon for architecture specified by ANDROID_ABI +set -e + +tar -xf libs.tar.gz + +if [ -z "$ANDROID_NDK" -o -z "$ANDROID_SDK" ]; then + echo "You must define ANDROID_NDK, ANDROID_SDK and ANDROID_ABI before starting." + echo "They must point to your NDK and SDK directories." + exit 1 +fi +if [ -z "$ANDROID_ABI" ]; then + echo "Please set ANDROID_ABI to your architecture: armeabi-v7a, x86." + exit 1 +fi + +HAVE_ARM=0 +HAVE_X86=0 +HAVE_64=0 + +# Set up ABI variables +if [ ${ANDROID_ABI} = "x86" ] ; then + TARGET_TUPLE="i686-linux-android" + PJ_TARGET_TUPLE="i686-pc-linux-android" + PATH_HOST="x86" + HAVE_X86=1 + PLATFORM_SHORT_ARCH="x86" +elif [ ${ANDROID_ABI} = "x86_64" ] ; then + TARGET_TUPLE="x86_64-linux-android" + PJ_TARGET_TUPLE="x86_64-pc-linux-android" + PATH_HOST="x86_64" + HAVE_X86=1 + HAVE_64=1 + PLATFORM_SHORT_ARCH="x86_64" +elif [ ${ANDROID_ABI} = "arm64-v8a" ] ; then + TARGET_TUPLE="aarch64-linux-android" + PJ_TARGET_TUPLE="aarch64-unknown-linux-android" + PATH_HOST=$TARGET_TUPLE + HAVE_ARM=1 + HAVE_64=1 + PLATFORM_SHORT_ARCH="arm64" +else + TARGET_TUPLE="arm-linux-androideabi" + PJ_TARGET_TUPLE="arm-unknown-linux-androideabi" + PATH_HOST=$TARGET_TUPLE + HAVE_ARM=1 + PLATFORM_SHORT_ARCH="arm" +fi + +if [ "${HAVE_64}" = 1 ];then + LIBDIR=lib64 +else + LIBDIR=lib +fi +ANDROID_API_VERS=21 +ANDROID_API=android-$ANDROID_API_VERS + +export ANDROID_TOOLCHAIN="`pwd`/../../client-android/android-toolchain-$ANDROID_API_VERS-$PLATFORM_SHORT_ARCH" +if [ ! -d "$ANDROID_TOOLCHAIN" ]; then + $ANDROID_NDK/build/tools/make_standalone_toolchain.py \ + --arch=$PLATFORM_SHORT_ARCH \ + --api $ANDROID_API_VERS \ + --stl libc++ \ + --install-dir=$ANDROID_TOOLCHAIN +fi + +export ANDROID_API +export TARGET_TUPLE +export HAVE_ARM +export HAVE_X86 +export HAVE_64 + +# Add the NDK toolchain to the PATH, needed both for contribs and for building +# stub libraries +NDK_TOOLCHAIN_PATH="${ANDROID_TOOLCHAIN}/bin" +CROSS_COMPILE=${NDK_TOOLCHAIN_PATH}/${TARGET_TUPLE}- +export PATH=${NDK_TOOLCHAIN_PATH}:${PATH} +export CROSS_COMPILE="${CROSS_COMPILE}" +export SYSROOT=$ANDROID_TOOLCHAIN/sysroot + +if [ -z "$DAEMON_DIR" ]; then + DAEMON_DIR="$(pwd)/../../daemon" + echo "DAEMON_DIR not provided trying to find it in $DAEMON_DIR" +fi + +if [ ! -d "$DAEMON_DIR" ]; then + echo 'Daemon not found.' + echo 'If you cloned the daemon in a custom location override' \ + 'DAEMON_DIR to point to it' + echo "You can also use our meta repo which contains both: + https://review.jami.net/#/admin/projects/ring-project" + exit 1 +fi +export DAEMON_DIR + +#Â Setup LDFLAGS +if [ ${ANDROID_ABI} = "armeabi-v7a" ] ; then + EXTRA_CFLAGS="${EXTRA_CFLAGS} -march=armv7-a -mthumb -mfpu=vfpv3-d16" + EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -march=armv7-a -mthumb -mfpu=vfpv3-d16" +elif [ ${ANDROID_ABI} = "arm64-v8a" ] ; then + EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${SYSROOT}/usr/lib -L${ANDROID_TOOLCHAIN}/${TARGET_TUPLE}/lib" +fi +EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${ANDROID_TOOLCHAIN}/${TARGET_TUPLE}/${LIBDIR}/${ANDROID_ABI} -L${ANDROID_TOOLCHAIN}/${TARGET_TUPLE}/${LIBDIR}" +EXTRA_CFLAGS="${EXTRA_CFLAGS} -fPIC" +EXTRA_CXXFLAGS="${EXTRA_CXXFLAGS} -fPIC" +EXTRA_LDFLAGS="${EXTRA_LDFLAGS} -L${SYSROOT}/usr/${LIBDIR}" +echo "EXTRA_CFLAGS= ${EXTRA_CFLAGS}" >> config.mak +echo "EXTRA_CXXFLAGS= ${EXTRA_CXXFLAGS}" >> config.mak +echo "EXTRA_LDFLAGS= ${EXTRA_LDFLAGS}" >> config.mak + +echo "Daemon in debug mode." +OPTS="--enable-debug" + +# Make in // +UNAMES=$(uname -s) +MAKEFLAGS= +if which nproc >/dev/null +then +MAKEFLAGS=-j`nproc` +elif [ "$UNAMES" == "Darwin" ] && which sysctl >/dev/null +then +MAKEFLAGS=-j`sysctl -n machdep.cpu.thread_count` +fi + +# Build buildsystem tools +cd $DAEMON_DIR/extras/tools +export PATH=`pwd`/build/bin:$PATH +echo "Building tools" +./bootstrap +make $MAKEFLAGS +make .pkg-config +make .gas + +############ +# Contribs # +############ +echo "Building the contribs" +CONTRIB_DIR=${DAEMON_DIR}/contrib/native-${TARGET_TUPLE} +CONTRIB_SYSROOT=${DAEMON_DIR}/contrib/${TARGET_TUPLE} +mkdir -p ${CONTRIB_DIR} +mkdir -p ${CONTRIB_SYSROOT}/lib/pkgconfig + +cd ${CONTRIB_DIR} +../bootstrap --host=${TARGET_TUPLE} --enable-ffmpeg --disable-argon2 --disable-asio --disable-fmt --disable-gcrypt --disable-gmp --disable-gnutls --disable-gpg-error --disable-gsm --disable-http_parser --disable-jack --disable-jsoncpp --disable-libarchive --disable-libressl --disable-msgpack --disable-natpmp --disable-nettle --enable-opencv --disable-opendht --disable-pjproject --disable-portaudio --disable-restinio --disable-secp256k1 --disable-speexdsp --disable-upnp --disable-uuid --disable-yaml-cpp + +make list +make fetch +export PATH="$PATH:$CONTRIB_SYSROOT/bin" +make $MAKEFLAGS + diff --git a/contrib/libs.tar.gz b/contrib/libs.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..0994273392bb4bd4c80d19a3b35c9388c0cce3f0 GIT binary patch literal 1460968 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0000000..4723c09 --- /dev/null +++ b/docker/Dockerfile_android @@ -0,0 +1,70 @@ +FROM sflagsantos/tensorflowlite:2.1 + +ENV LANG en_US.utf8 +ENV LC_ALL en_US.utf8 +ENV HOME /home/gradle +ENV SSH_AUTH_SOCK /home/gradle/.sockets/ssh + +RUN apt-get update && apt-get install -y --no-install-recommends \ + asciidoc \ + autogen \ + automake \ + autoconf \ + autopoint \ + gettext \ + ca-certificates \ + cmake \ + bc \ + bison \ + build-essential \ + bzip2 \ + doxygen \ + git \ + lib32stdc++6 \ + lib32z1 \ + libtool \ + locales \ + m4 \ + pkg-config \ + software-properties-common \ + ssh \ + unzip \ + wget \ + curl \ + yasm \ + nasm \ + zip \ + libpcre3 \ + libpcre3-dev \ + && locale-gen $LANG $LC_ALL && update-locale $LANG $LC_ALL + +# Android SDK tools +RUN wget -O /tmp/android-tools.zip https://dl.google.com/android/repository/commandlinetools-linux-6200805_latest.zip && \ + mkdir -p /opt/android-sdk && \ + unzip -q -d /opt/android-sdk /tmp/android-tools.zip && \ + rm -f /tmp/android-tools.zip && \ + chown -R root:root /opt/android-sdk + +# Swig 4.0.1 +RUN wget -O /tmp/swig.tar.gz https://github.com/swig/swig/archive/rel-4.0.1.tar.gz && \ + tar xzf /tmp/swig.tar.gz -C /opt && \ + cd /opt/swig-rel-4.0.1/ && ./autogen.sh && ./configure && make && make install && \ + cd .. && rm -rf /opt/swig-rel-4.0.1 /tmp/swig.tar.gz + +ENV ANDROID_HOME /opt/android-sdk +ENV PATH ${PATH}:${ANDROID_HOME}/tools/bin + +# Android SDK libraries, NDK +RUN sdkmanager --sdk_root=${ANDROID_HOME} --update +RUN (while sleep 1; do echo "y"; done) | sdkmanager --sdk_root=${ANDROID_HOME} 'build-tools;30.0.2' \ + 'platforms;android-29'\ + 'extras;android;m2repository'\ + 'extras;google;m2repository'\ + 'ndk;21.3.6528147' + +ENV ANDROID_SDK ${ANDROID_HOME} +ENV ANDROID_NDK ${ANDROID_HOME}/ndk/21.3.6528147 +ENV ANDROID_ABI armeabi-v7a + +WORKDIR /home/gradle/src +VOLUME /home/gradle/src diff --git a/docker/Dockerfile_ubuntu_20.04 b/docker/Dockerfile_ubuntu_20.04 new file mode 100644 index 0000000..e674388 --- /dev/null +++ b/docker/Dockerfile_ubuntu_20.04 @@ -0,0 +1,66 @@ +FROM sflagsantos/tensorflow-cuda:2.1-10.1-Lite-TFCC + +ENV DEBIAN_FRONTEND noninteractive +ENV CUDALIBS /usr/local/cuda/lib64 +ENV CUDNN /usr/lib/x86_64-linux-gnu + +USER root + +RUN apt-get clean && \ + apt-get update && \ + apt-get install -y -o Acquire::Retries=2 \ + clang \ + zip \ + git \ + autoconf \ + automake \ + autopoint \ + cmake \ + libtool \ + libdbus-1-dev \ + libdbus-c++-dev \ + libgnutls28-dev \ + libargon2-0-dev \ + libcanberra-gtk3-dev \ + libclutter-gtk-1.0-dev \ + libclutter-1.0-dev \ + libglib2.0-dev \ + libgtk-3-dev \ + libnotify-dev \ + qtbase5-dev \ + qttools5-dev \ + qttools5-dev-tools \ + yasm \ + nasm \ + autotools-dev \ + gettext \ + libpulse-dev \ + libasound2-dev \ + libexpat1-dev \ + libpcre3-dev \ + libyaml-cpp-dev \ + libboost-dev \ + libxext-dev \ + libxfixes-dev \ + libspeex-dev \ + libspeexdsp-dev \ + uuid-dev \ + libavcodec-dev \ + libavutil-dev \ + libavformat-dev \ + libswscale-dev \ + libavdevice-dev \ + libopus-dev \ + libudev-dev \ + libgsm1-dev \ + libjsoncpp-dev \ + libmsgpack-dev \ + libnatpmp-dev \ + libayatana-appindicator3-dev \ + libqrencode-dev \ + libnm-dev \ + libwebkit2gtk-4.0-dev \ + libcrypto++-dev \ + libva-dev \ + libvdpau-dev \ + libssl-dev diff --git a/lib/accel.h b/lib/accel.h index 08f42cf..dc3f9f7 100644 --- a/lib/accel.h +++ b/lib/accel.h @@ -28,17 +28,17 @@ extern "C" { namespace DRing { class MediaFrame; class VideoFrame; -} +} // namespace DRing namespace jami { using MediaFrame = DRing::MediaFrame; using VideoFrame = DRing::VideoFrame; -} +} // namespace jami extern "C" { #if LIBAVUTIL_VERSION_MAJOR < 56 AVFrameSideData* -av_frame_new_side_data_from_buf (AVFrame* frame, enum AVFrameSideDataType type, AVBufferRef* buf) +av_frame_new_side_data_from_buf(AVFrame* frame, enum AVFrameSideDataType type, AVBufferRef* buf) { auto side_data = av_frame_new_side_data(frame, type, 0); av_buffer_unref(&side_data->buf); @@ -51,13 +51,13 @@ av_frame_new_side_data_from_buf (AVFrame* frame, enum AVFrameSideDataType type, } AVFrame* -transferToMainMemory (AVFrame* framePtr, AVPixelFormat desiredFormat) +transferToMainMemory(AVFrame* framePtr, AVPixelFormat desiredFormat) { AVFrame* out; auto desc = av_pix_fmt_desc_get(static_cast<AVPixelFormat>(framePtr->format)); - if (desc && not (desc->flags & AV_PIX_FMT_FLAG_HWACCEL)) { + if (desc && not(desc->flags & AV_PIX_FMT_FLAG_HWACCEL)) { out = framePtr; return out; } @@ -70,7 +70,9 @@ transferToMainMemory (AVFrame* framePtr, AVPixelFormat desiredFormat) out->pts = framePtr->pts; if (AVFrameSideData* side_data = av_frame_get_side_data(framePtr, AV_FRAME_DATA_DISPLAYMATRIX)) { - av_frame_new_side_data_from_buf(out, AV_FRAME_DATA_DISPLAYMATRIX, av_buffer_ref(side_data->buf)); + av_frame_new_side_data_from_buf(out, + AV_FRAME_DATA_DISPLAYMATRIX, + av_buffer_ref(side_data->buf)); } return out; } \ No newline at end of file diff --git a/lib/framescaler.h b/lib/framescaler.h index cda6e21..7ee271c 100644 --- a/lib/framescaler.h +++ b/lib/framescaler.h @@ -26,15 +26,19 @@ extern "C" { #include <libswscale/swscale.h> } -//STL +// STL #include <memory> #include <functional> -using FrameUniquePtr = std::unique_ptr<AVFrame, void(*)(AVFrame*)>; +using FrameUniquePtr = std::unique_ptr<AVFrame, void (*)(AVFrame*)>; -class FrameScaler { +class FrameScaler +{ public: - FrameScaler() : ctx_(nullptr), mode_(SWS_FAST_BILINEAR) {} + FrameScaler() + : ctx_(nullptr) + , mode_(SWS_FAST_BILINEAR) + {} /** * @brief scaleConvert @@ -46,12 +50,17 @@ public: * @param desiredFormat * @return */ - FrameUniquePtr - scaleConvert (const AVFrame* input, const size_t desiredWidth, const size_t desiredHeight, + FrameUniquePtr scaleConvert(const AVFrame* input, + const size_t desiredWidth, + const size_t desiredHeight, const AVPixelFormat desiredFormat) { - FrameUniquePtr output{av_frame_alloc(), [](AVFrame* frame){ if(frame) {av_frame_free(&frame);} }}; - if(input) { + FrameUniquePtr output {av_frame_alloc(), [](AVFrame* frame) { + if (frame) { + av_frame_free(&frame); + } + }}; + if (input) { output->width = static_cast<int>(desiredWidth); output->height = static_cast<int>(desiredHeight); output->format = static_cast<int>(desiredFormat); @@ -69,13 +78,19 @@ public: output_frame->height, static_cast<AVPixelFormat>(output_frame->format), mode_, - nullptr, nullptr, nullptr); + nullptr, + nullptr, + nullptr); if (!ctx_) { throw std::bad_alloc(); } - sws_scale(ctx_, input->data, input->linesize, 0, - input->height, output_frame->data, + sws_scale(ctx_, + input->data, + input->linesize, + 0, + input->height, + output_frame->data, output_frame->linesize); } @@ -88,10 +103,15 @@ public: * @param pix * @return */ - FrameUniquePtr - convertFormat (const AVFrame* input, AVPixelFormat pix) { - return input?scaleConvert(input,static_cast<size_t>(input->width),static_cast<size_t>(input->height), pix): - std::unique_ptr<AVFrame, void(*)(AVFrame*)>{nullptr, [](AVFrame* frame){(void)frame;}}; + FrameUniquePtr convertFormat(const AVFrame* input, AVPixelFormat pix) + { + return input ? scaleConvert(input, + static_cast<size_t>(input->width), + static_cast<size_t>(input->height), + pix) + : std::unique_ptr<AVFrame, void (*)(AVFrame*)> {nullptr, [](AVFrame* frame) { + (void) frame; + }}; } /** @@ -99,15 +119,15 @@ public: * @param dst * @param src */ - void - moveFrom (AVFrame* dst, AVFrame* src) { - if(dst && src) { + void moveFrom(AVFrame* dst, AVFrame* src) + { + if (dst && src) { av_frame_unref(dst); av_frame_move_ref(dst, src); } } protected: - SwsContext *ctx_; + SwsContext* ctx_; int mode_; }; diff --git a/lib/pluglog.h b/lib/pluglog.h index 328e155..8314f04 100644 --- a/lib/pluglog.h +++ b/lib/pluglog.h @@ -31,7 +31,8 @@ #include <android/log.h> #endif -inline char separator() +inline char +separator() { #ifdef _WIN32 return '\\'; @@ -40,11 +41,13 @@ inline char separator() #endif } -class Plog { +class Plog +{ private: Plog() = delete; Plog(const Plog&) = delete; Plog(Plog&&) = default; + public: enum class LogPriority { /** For internal use only. */ @@ -67,8 +70,7 @@ public: SILENT, /* only for SetMinPriority(); must be last */ }; - static void - log(const LogPriority priority, const std::string& tag, const std::string& s) + static void log(const LogPriority priority, const std::string& tag, const std::string& s) { // Android only #ifdef __ANDROID__ @@ -91,27 +93,25 @@ public: // Anything but Android #else switch (priority) { - case LogPriority::UNKNOWN: - case LogPriority::DEFAULT: - case LogPriority::VERBOSE: - case LogPriority::DEBUG: - case LogPriority::INFO: - std::cout<< tag <<": " << s <<std::endl; - break; - case LogPriority::WARN: - std::cout<< tag <<": " << s <<std::endl; - break; - case LogPriority::ERR: - case LogPriority::FATAL: - std::cerr<< tag <<": " << s <<std::endl; - break; - case LogPriority::SILENT: - break; - + case LogPriority::UNKNOWN: + case LogPriority::DEFAULT: + case LogPriority::VERBOSE: + case LogPriority::DEBUG: + case LogPriority::INFO: + std::cout << tag << ": " << s << std::endl; + break; + case LogPriority::WARN: + std::cout << tag << ": " << s << std::endl; + break; + case LogPriority::ERR: + case LogPriority::FATAL: + std::cerr << tag << ": " << s << std::endl; + break; + case LogPriority::SILENT: + break; } #endif - } }; -- GitLab