ros_deep_learning compilation failed

[lift-zpz]

An error occurred while I was compiling. Here is my error message

jetbot@jetson-4-3:~/workspace/catkin_ws$ catkin_make Base path: /home/jetbot/workspace/catkin_ws Source space: /home/jetbot/workspace/catkin_ws/src Build space: /home/jetbot/workspace/catkin_ws/build Devel space: /home/jetbot/workspace/catkin_ws/devel Install space: /home/jetbot/workspace/catkin_ws/install

Running command: "cmake /home/jetbot/workspace/catkin_ws/src -DCATKIN_DEVEL_PREFIX=/home/jetbot/workspace/catkin_ws/devel -DCMAKE_INSTALL_PREFIX=/home/jetbot/workspace/catkin_ws/install -G Unix Makefiles" in "/home/jetbot/workspace/catkin_ws/build"

-- Using CATKIN_DEVEL_PREFIX: /home/jetbot/workspace/catkin_ws/devel -- Using CMAKE_PREFIX_PATH: /home/jetbot/workspace/catkin_ws/devel;/opt/ros/melodic -- This workspace overlays: /home/jetbot/workspace/catkin_ws/devel;/opt/ros/melodic -- Found PythonInterp: /usr/bin/python2 (found suitable version "2.7.17", minimum required is "2") -- Using PYTHON_EXECUTABLE: /usr/bin/python2 -- Using Debian Python package layout -- Using empy: /usr/bin/empy -- Using CATKIN_ENABLE_TESTING: ON -- Call enable_testing() -- Using CATKIN_TEST_RESULTS_DIR: /home/jetbot/workspace/catkin_ws/build/test_results -- Found gtest sources under '/usr/src/googletest': gtests will be built -- Found gmock sources under '/usr/src/googletest': gmock will be built -- Found PythonInterp: /usr/bin/python2 (found version "2.7.17") -- Using Python nosetests: /usr/bin/nosetests-2.7 -- catkin 0.7.29 -- BUILD_SHARED_LIBS is on -- BUILD_SHARED_LIBS is on -- ~~~~~~~~~~~~~ -- ~~ traversing 1 packages in topological order: -- ~~ - ros_deep_learning -- ~~~~~~~~~~~~~ -- +++ processing catkin package: 'ros_deep_learning' -- ==> add_subdirectory(ros_deep_learning) detected ROS1 (catkin_make) -- Configuring done -- Generating done -- Build files have been written to: /home/jetbot/workspace/catkin_ws/build

Running command: "make -j2 -l2" in "/home/jetbot/workspace/catkin_ws/build"

Scanning dependencies of target ros_deep_learning_nodelets Scanning dependencies of target segnet [ 4%] Building CXX object ros_deep_learning/CMakeFiles/segnet.dir/src/node_segnet.cpp.o [ 8%] Building CXX object ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/src/nodelet_imagenet.cpp.o /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp: In function ‘bool publish_overlay(uint32_t, uint32_t)’: /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:66:74: error: no matching function for call to ‘segNet::Overlay(imageConverter::PixelType, uint32_t&, uint32_t&, segNet::FilterMode&)’ if( !net->Overlay(overlay_cvt->ImageGPU(), width, height, overlay_filter) ) ^ In file included from /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:26:0: /usr/local/include/jetson-inference/segNet.h:212:7: note: candidate: bool segNet::Overlay(float, uint32_t, uint32_t, segNet::FilterMode) bool Overlay( float output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR ); ^~~ /usr/local/include/jetson-inference/segNet.h:212:7: note: no known conversion for argument 1 from ‘imageConverter::PixelType {aka uchar3}’ to ‘float’ /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp: In function ‘bool publish_mask_color(uint32_t, uint32_t)’: /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:91:71: error: no matching function for call to ‘segNet::Mask(imageConverter::PixelType, uint32_t&, uint32_t&, segNet::FilterMode&)’ if( !net->Mask(mask_color_cvt->ImageGPU(), width, height, mask_filter) ) ^ In file included from /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:26:0: /usr/local/include/jetson-inference/segNet.h:195:7: note: candidate: bool segNet::Mask(uint8_t, uint32_t, uint32_t) bool Mask( uint8_t output, uint32_t width, uint32_t height ); ^~~~ /usr/local/include/jetson-inference/segNet.h:195:7: note: candidate expects 3 arguments, 4 provided /usr/local/include/jetson-inference/segNet.h:200:7: note: candidate: bool segNet::Mask(float, uint32_t, uint32_t, segNet::FilterMode) bool Mask( float output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR ); ^~~~ /usr/local/include/jetson-inference/segNet.h:200:7: note: no known conversion for argument 1 from ‘imageConverter::PixelType {aka uchar3}’ to ‘float’ /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp: In function ‘void img_callback(sensor_msgs::ImageConstPtr)’: /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:144:88: error: no matching function for call to ‘segNet::Process(imageConverter::PixelType, uint32_t, uint32_t)’ if( !net->Process(input_cvt->ImageGPU(), input_cvt->GetWidth(), input_cvt->GetHeight()) ) ^ In file included from /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/node_segnet.cpp:26:0: /usr/local/include/jetson-inference/segNet.h:189:7: note: candidate: bool segNet::Process(float, uint32_t, uint32_t, const char) bool Process( float input, uint32_t width, uint32_t height, const char ignore_class="void" ); ^~~ /usr/local/include/jetson-inference/segNet.h:189:7: note: no known conversion for argument 1 from ‘imageConverter::PixelType {aka uchar3}’ to ‘float’ /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/nodelet_imagenet.cpp: In member function ‘void ros_deep_learning::ros_imagenet::callback(const ImageConstPtr&)’: /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/nodelet_imagenet.cpp:88:121: error: no matching function for call to ‘imageNet::Classify(imageConverter::PixelType, uint32_t, uint32_t, float)’ const int img_class = net->Classify(imgCvt->ImageGPU(), imgCvt->GetWidth(), imgCvt->GetHeight(), &confidence); ^ In file included from /home/jetbot/workspace/catkin_ws/src/ros_deep_learning/src/nodelet_imagenet.cpp:2:0: /usr/local/include/jetson-inference/imageNet.h:154:6: note: candidate: int imageNet::Classify(float, uint32_t, uint32_t, float) int Classify( float rgba, uint32_t width, uint32_t height, float confidence=NULL ); ^~~~ /usr/local/include/jetson-inference/imageNet.h:154:6: note: no known conversion for argument 1 from ‘imageConverter::PixelType {aka uchar3}’ to ‘float’ /usr/local/include/jetson-inference/imageNet.h:162:6: note: candidate: int imageNet::Classify(float) int Classify( float* confidence=NULL ); ^~~~ /usr/local/include/jetson-inference/imageNet.h:162:6: note: candidate expects 1 argument, 4 provided ros_deep_learning/CMakeFiles/segnet.dir/build.make:62: recipe for target 'ros_deep_learning/CMakeFiles/segnet.dir/src/node_segnet.cpp.o' failed make[2]: [ros_deep_learning/CMakeFiles/segnet.dir/src/node_segnet.cpp.o] Error 1 CMakeFiles/Makefile2:535: recipe for target 'ros_deep_learning/CMakeFiles/segnet.dir/all' failed make[1]: [ros_deep_learning/CMakeFiles/segnet.dir/all] Error 2 make[1]: Waiting for unfinished jobs.... [ 13%] Building CXX object ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/src/image_converter.cpp.o ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/build.make:62: recipe for target 'ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/src/nodelet_imagenet.cpp.o' failed make[2]: [ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/src/nodelet_imagenet.cpp.o] Error 1 make[2]: Waiting for unfinished jobs.... CMakeFiles/Makefile2:1148: recipe for target 'ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/all' failed make[1]: [ros_deep_learning/CMakeFiles/ros_deep_learning_nodelets.dir/all] Error 2 Makefile:140: recipe for target 'all' failed make: *** [all] Error 2 Invoking "make -j2 -l2" failed

[dusty-nv]

Hi @lift-zpz, I think you need to update your jetson-inference repo.

[lift-zpz]

嗨@ lift-zpz，我想您需要更新您的jetson-推理回购。

OK, thank you， I will try again

[lift-zpz]

嗨@ lift-zpz，我想您需要更新您的jetson-推理回购。

Hello, after re-cloning, I put the downloaded module under network, and then I executed Vim. gitModules and put the path of updating submodules on the website where the code is stored in China. Finally, I succeeded in downloading and compiling the ROS function package.