Built Error on jetson #30
Comments
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I have the same error with JetPack 4.3 |
In reaplace cudaRGBA32ToBGRA8 -> cudaRGBA32ToRGBA8 |
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Hi all, switch your jetson-inference to the https://github.com/dusty-nv/jetson-inference/tree/20200714 Then re-build and re-install jetson-inference with |
Thanks, for your reply |
One more thing, when previously I have worked with master branch of jetson-inference, my ros_deep_learning built was successful. There was issues in making built of jetson_nano......I made a quick fix there by making changes in But in it when I start testing the Robot for making it move forward and backward, no movement was there in Robot. |
You could also check out the
Have you tried using the Jupyter notebooks from https://github.com/NVIDIA-AI-IOT/jetbot? Do both wheels work then? |
yes, both are working perfectly fine with that |
To clarify , are you asking me to checkout the branch |
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I have the same error with the JetPack 4.3. I was able to build the What I tried is below. |
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To clarify , are you asking me to checkout the branch **0ad346df2b712d19d5647d8d45886fe1279efda8** of ros_deep_learning and use that with the 20200714 branch of the jetson-inference.
Yes, that is correct. I will update jetbot_ros to support the latest next week, sorry about that.
…________________________________
From: tohruk <[email protected]>
Sent: Friday, July 31, 2020 8:52:22 PM
To: dusty-nv/jetbot_ros <[email protected]>
Cc: Dustin Franklin <[email protected]>; Comment <[email protected]>
Subject: Re: [dusty-nv/jetbot_ros] Built Error on jetson (#30)
I have the same error with the JetPack 4.3. I was able to build the jetson_ros with the 20200714 branch of the jetson-inference, however the branch was not compatible with the latest ros_deep_learning. Which ros_deep_learning revision should I use?
What I tried is below.
$ cd ~/workspaces/jetson-inference
$ git checkout 20200714
$ cd build/
$ cmake ../
$ make
$ sudo make install
$ cd ~/workspace/catkin_ws/
$ rm -fr build devel
$ ls src
CMakeLists.txt jetbot_ros ros_deep_learning
$ catkin_make
-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-- ~~ traversing 2 packages in topological order:
-- ~~ - jetbot_ros
-- ~~ - ros_deep_learning
-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-- +++ processing catkin package: 'jetbot_ros'
-- ==> add_subdirectory(jetbot_ros)
-- Found CUDA: /usr/local/cuda (found version "10.0")
-- +++ 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 jetbot_camera
Scanning dependencies of target segnet
[ 3%] Building CXX object jetbot_ros/CMakeFiles/jetbot_camera.dir/src/jetbot_camera.cpp.o
[ 7%] Building CXX object ros_deep_learning/CMakeFiles/segnet.dir/src/node_segnet.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*’
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/Makefile2:1454: 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....
[ 11%] Building CXX object jetbot_ros/CMakeFiles/jetbot_camera.dir/src/image_converter.cpp.o
[ 15%] Linking CXX executable /home/jetbot/workspace/catkin_ws/devel/lib/jetbot_ros/jetbot_camera
[ 15%] Built target jetbot_camera
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Invoking "make -j2 -l2" failed
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Just wondered is this fixed now as i have the same issue when doing 1st time install on new jetbot ? |
checkout the branch 0ad346df2b712d19d5647d8d45886fe1279efda8 of ros_deep_learning and use that with the 20200714 branch of the jetson-inference |
checkout the branch 0ad346df2b712d19d5647d8d45886fe1279efda8 of ros_deep_learning and use that with the 20200714 branch of the jetson-inference |
Are you able to sends the pwm commands to the motor controller, did test Motor Commands have worked on your Robot? |
Sorry for the delay - this |
Hello, I met the same problem with you. Have you solved it? |
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I tried downloading ros for by jetbot. [ 42%] Building CXX object CMakeFiles/jetson-inference.dir/plugins/FlattenConcat.cpp.o Is this a known issue? - How do i resolve this? |
I am getting error while building the package jetbot_ros on my nvidia jetbot.
Attached the error logs
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
.
.
.
[ 26%] Building CXX object jetbot_ros/CMakeFiles/jetbot_camera.dir/src/jetbot_camera.cpp.o
[ 46%] Built target detectnet
[ 53%] Building CXX object jetbot_ros/CMakeFiles/jetbot_camera.dir/src/image_converter.cpp.o
In file included from /usr/local/include/jetson-utils/cudaRGB.h:27:0,
from /home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:25:
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp: In member function ‘bool imageConverter::Convert(const ImageConstPtr&)’:
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:83:18: error: ‘cudaBGR8ToRGBA32’ was not declared in this scope
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp: In member function ‘bool imageConverter::Convert(sensor_msgs::Image&, const string&, float*)’:
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:106:19: error: ‘cudaRGBA32ToBGR8’ was not declared in this scope
if( CUDA_FAILED(cudaRGBA32ToBGR8((float4*)imageGPU, (uchar3*)mInputGPU, mWidth, mHeight)) )
^
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:106:19: note: suggested alternative: ‘cudaRGBA32ToRGB8’
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:126:19: error: ‘cudaRGBA32ToBGRA8’ was not declared in this scope
if( CUDA_FAILED(cudaRGBA32ToBGRA8((float4*)imageGPU, (uchar4*)mInputGPU, mWidth, mHeight)) )
^
/home/jetbot/workspace/catkin_ws/src/jetbot_ros/src/image_converter.cpp:126:19: note: suggested alternative: ‘cudaRGBA32ToRGBA8’
jetbot_ros/CMakeFiles/jetbot_camera.dir/build.make:86: recipe for target 'jetbot_ros/CMakeFiles/jetbot_camera.dir/src/image_converter.cpp.o' failed
make[2]: *** [jetbot_ros/CMakeFiles/jetbot_camera.dir/src/image_converter.cpp.o] Error 1
make[2]: *** Waiting for unfinished jobs....
[ 73%] Built target segnet
[ 93%] Built target imagenet
CMakeFiles/Makefile2:615: recipe for target 'jetbot_ros/CMakeFiles/jetbot_camera.dir/all' failed
make[1]: *** [jetbot_ros/CMakeFiles/jetbot_camera.dir/all] Error 2
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Invoking "make -j2 -l2" failed
The text was updated successfully, but these errors were encountered: