Building ROS node with OpenCV
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@sarahl ,
I've been messing with another project in a similar area, this link helped:
https://github.com/multiarch/qemu-user-static
Namely, needing to run this 'magic command' before running my arm64 docker on x86 host (to be honest I'm not fully sure what it's doing)
docker run --rm --privileged multiarch/qemu-user-static --reset -p yesAnother thing that's helped is adding this to my docker file:
# required for ARM emulation COPY ./bin/qemu-arm-static /usr/bin/qemu-arm-staticWhere in my project, I've copied
qemu-arm-staticinto abindir in my repo.Hope this helps!
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Hi @modaltb ,
As I had also storage problems like posted here, I wanted to go with the way suggested by @Chad-Sweet. I am doing the same kind of project. Merging two Docker files(Ros Kinetic and Open CV).
I am building the images in Raspi aarch64 Ubuntu 20.04.2.
I was able to build ROS Kinetic image without Open CV and send to VOXL m500 to load and run.However, when I merged two files and built I got the following error but am not sure if it is the same error with @sarahl and qemu-arm-static will help me.
What might be the problem or solution?
Thank you in advance,I pasted the output message and two relevant docker files I merged:
I used all the docker files for ros kinetic and adapted Open CV files into that.General configuration for OpenCV 3.4.6 ===================================== -- Version control: unknown -- -- Platform: -- Timestamp: 2021-04-22T21:24:55Z -- Host: Linux 5.4.0-1034-raspi aarch64 -- CMake: 3.5.1 -- CMake generator: Unix Makefiles -- CMake build tool: /usr/bin/make -- Configuration: Release -- -- CPU/HW features: -- Baseline: NEON FP16 -- required: NEON -- disabled: VFPV3 -- -- C/C++: -- Built as dynamic libs?: YES -- C++11: YES -- C++ Compiler: /usr/bin/c++ (ver 5.4.0) -- C++ flags (Release): -std=c++11 -march=armv8-a+simd -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -O3 -DNDEBUG -DNDEBUG -- C++ flags (Debug): -std=c++11 -march=armv8-a+simd -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG -- C Compiler: /usr/bin/cc -- C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fopenmp -O3 -DNDEBUG -DNDEBUG -- C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG -- Linker flags (Release): -Wl,--gc-sections -- Linker flags (Debug): -Wl,--gc-sections -- ccache: NO -- Precompiled headers: YES -- Extra dependencies: dl m pthread rt -- 3rdparty dependencies: -- -- OpenCV modules: -- To be built: calib3d core dnn features2d flann highgui imgcodecs imgproc ml objdetect photo python2 stitching ts video videoio -- Disabled: shape superres videostab world -- Disabled by dependency: - -- Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java js python3 viz -- Applications: tests perf_tests apps -- Documentation: NO -- Non-free algorithms: NO -- -- GUI: -- GTK+: YES (ver 2.24.30) -- GThread : YES (ver 2.48.2) -- GtkGlExt: NO -- VTK support: NO -- -- Media I/O: -- ZLib: /usr/lib/aarch64-linux-gnu/libz.so (ver 1.2.8) -- JPEG: /usr/lib/aarch64-linux-gnu/libjpeg.so (ver 80) -- WEBP: build (ver encoder: 0x020e) -- PNG: /usr/lib/aarch64-linux-gnu/libpng.so (ver 1.2.54) -- TIFF: /usr/lib/aarch64-linux-gnu/libtiff.so (ver 42 / 4.0.6) -- JPEG 2000: build (ver 1.900.1) -- OpenEXR: build (ver 1.7.1) -- HDR: YES -- SUNRASTER: YES -- PXM: YES -- -- Video I/O: -- DC1394: YES (ver 2.2.4) -- FFMPEG: YES -- avcodec: YES (ver 56.60.100) -- avformat: YES (ver 56.40.101) -- avutil: YES (ver 54.31.100) -- swscale: YES (ver 3.1.101) -- avresample: NO -- GStreamer: NO -- libv4l/libv4l2: NO -- v4l/v4l2: linux/videodev2.h -- -- Parallel framework: OpenMP -- -- Trace: YES (built-in) -- -- Other third-party libraries: -- Lapack: NO -- Eigen: NO -- Custom HAL: YES (carotene (ver 0.0.1)) -- Protobuf: build (3.5.1) -- -- OpenCL: YES (no extra features) -- Include path: /home/root/opencv-opencl/opencv-3.4.6/3rdparty/include/opencl/1.2 -- Link libraries: Dynamic load -- -- Python 2: -- Interpreter: /usr/bin/python2.7 (ver 2.7.12) -- Libraries: /usr/lib/aarch64-linux-gnu/libpython2.7.so (ver 2.7.12) -- numpy: /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.11.0) -- install path: lib/python2.7/dist-packages/cv2/python-2.7 -- -- Python (for build): /usr/bin/python2.7 -- -- Java: -- ant: NO -- JNI: NO -- Java wrappers: NO -- Java tests: NO -- -- Install to: /usr -- ----------------------------------------------------------------- -- -- Configuring incomplete, errors occurred! See also "/home/root/opencv-opencl/opencv-3.4.6/build/CMakeFiles/CMakeOutput.log". See also "/home/root/opencv-opencl/opencv-3.4.6/build/CMakeFiles/CMakeError.log". The command '/bin/sh -c cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr -DWITH_OPENMP=ON -DWITH_OPENCL=ON -DHAVE_OPENCL=1 -DOPENCV_EXTRA_MODULES_PATH=/home/opencv-opencl/opencv_contrib-$opencv_version/modules -DBUILD_opencv_aruco=ON -DBUILD_opencv_bgsegm=OFF -DBUILD_opencv_bioinspired=OFF -DBUILD_opencv_ccalib=OFF -DBUILD_opencv_cnn_3dobj=OFF -DBUILD_opencv_cudaarithm=OFF -DBUILD_opencv_cudabgsegm=OFF -DBUILD_opencv_cudacodec=OFF -DBUILD_opencv_cudafeatures2d=OFF -DBUILD_opencv_cudafilters=OFF -DBUILD_opencv_cudaimgproc=OFF -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_cudaobjdetect=OFF -DBUILD_opencv_cudaoptflow=OFF -DBUILD_opencv_cudastereo=OFF -DBUILD_opencv_cudawarping=OFF -DBUILD_opencv_cudev=OFF -DBUILD_opencv_cvv=OFF -DBUILD_opencv_datasets=OFF -DBUILD_opencv_dnn_objdetect=ON -DBUILD_opencv_dnns_easily_fooled=OFF -DBUILD_opencv_dnn_superres=OFF -DBUILD_opencv_dpm=OFF -DBUILD_opencv_face=OFF -DBUILD_opencv_freetype=OFF -DBUILD_opencv_fuzzy=OFF -DBUILD_opencv_hdf=OFF -DBUILD_opencv_hfs=OFF -DBUILD_opencv_img_hash=OFF -DBUILD_opencv_line_descriptor=OFF -DBUILD_opencv_matlab=OFF -DBUILD_opencv_optflow=OFF -DBUILD_opencv_ovis=OFF -DBUILD_opencv_phase_unwrapping=OFF -DBUILD_opencv_plot=OFF -DBUILD_opencv_quality=OFF -DBUILD_opencv_reg=OFF -DBUILD_opencv_rgbd=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_sfm=OFF -DBUILD_opencv_shape=OFF -DBUILD_opencv_stereo=OFF -DBUILD_opencv_structured_light=OFF -DBUILD_opencv_superres=OFF -DBUILD_opencv_surface_matching=OFF -DBUILD_opencv_text=OFF -DBUILD_opencv_tracking=OFF -DBUILD_opencv_videostab=OFF -DBUILD_opencv_viz=OFF -DBUILD_opencv_xfeatures2d=OFF -DBUILD_opencv_ximgproc=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=OFF -DCMAKE_CXX_FLAGS="${CMAKE_CXX_FLAGS} -std=c++11 -march=armv8-a+simd" ..' returned a non-zero code: 1Dockerfile.xenial-base
FROM aarch64/ubuntu:xenial RUN apt-get update RUN apt-get -y upgrade RUN sh -c 'echo "deb http://packages.ros.org/ros/ubuntu xenial main" > /etc/apt/sources.list.d/ros-latest.list' RUN apt-key adv --keyserver 'hkp://keyserver.ubuntu.com:80' --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654 RUN apt-get update && apt-get install -y python-rosdep \ python-pip \ python-rosinstall-generator \ python-wstool \ python-rosinstall \ python-pandas \ python-numpy \ python-dev \ python-defusedxml \ build-essential \ libboost-all-dev \ libconsole-bridge-dev \ libtinyxml-dev \ sbcl-source \ sbcl-doc \ vim \ sudo \ nano \ strace \ libglib2.0-0 \ libgtk2.0-dev \ pkg-config \ libavcodec-dev \ libavformat-dev \ libswscale-dev \ libtbb2 \ libtbb-dev \ libjpeg-dev \ libpng-dev \ libtiff-dev \ libdc1394-22-dev \ wget \ unzip \ cmake \ git RUN mkdir -p /home/root/opencv-opencl WORKDIR /home/root/opencv-opencl COPY modalai-opencl-dev_1.0-1.deb . RUN dpkg -i modalai-opencl-dev_1.0-1.deb CMD /bin/bashDockerfile.opencv
FROM roskinetic-xenial:base ARG opencv_version=4.2.0 WORKDIR /home/root/opencv-opencl RUN wget https://github.com/opencv/opencv/archive/$opencv_version.zip RUN unzip $opencv_version.zip RUN rm $opencv_version.zip RUN wget https://github.com/opencv/opencv_contrib/archive/$opencv_version.zip RUN unzip $opencv_version.zip RUN rm $opencv_version.zip WORKDIR opencv-$opencv_version/build RUN cmake -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_INSTALL_PREFIX=/usr \ -DWITH_OPENMP=ON \ -DWITH_OPENCL=ON \ -DHAVE_OPENCL=1 \ -DOPENCV_EXTRA_MODULES_PATH=/home/opencv-opencl/opencv_contrib-$opencv_version/modules \ -DBUILD_opencv_aruco=ON \ -DBUILD_opencv_bgsegm=OFF \a -DBUILD_opencv_bioinspired=OFF \ -DBUILD_opencv_ccalib=OFF \ -DBUILD_opencv_cnn_3dobj=OFF \ -DBUILD_opencv_cudaarithm=OFF \ -DBUILD_opencv_cudabgsegm=OFF \ -DBUILD_opencv_cudacodec=OFF \ -DBUILD_opencv_cudafeatures2d=OFF \ -DBUILD_opencv_cudafilters=OFF \ -DBUILD_opencv_cudaimgproc=OFF \ -DBUILD_opencv_cudalegacy=OFF \ -DBUILD_opencv_cudaobjdetect=OFF \ -DBUILD_opencv_cudaoptflow=OFF \ -DBUILD_opencv_cudastereo=OFF \ -DBUILD_opencv_cudawarping=OFF \ -DBUILD_opencv_cudev=OFF \ -DBUILD_opencv_cvv=OFF \ -DBUILD_opencv_datasets=OFF \ -DBUILD_opencv_dnn_objdetect=ON \ -DBUILD_opencv_dnns_easily_fooled=OFF \ -DBUILD_opencv_dnn_superres=OFF \ -DBUILD_opencv_dpm=OFF \ -DBUILD_opencv_face=OFF \ -DBUILD_opencv_freetype=OFF \ -DBUILD_opencv_fuzzy=OFF \ -DBUILD_opencv_hdf=OFF \ -DBUILD_opencv_hfs=OFF \ -DBUILD_opencv_img_hash=OFF \ -DBUILD_opencv_line_descriptor=OFF \ -DBUILD_opencv_matlab=OFF \ -DBUILD_opencv_optflow=OFF \ -DBUILD_opencv_ovis=OFF \ -DBUILD_opencv_phase_unwrapping=OFF \ -DBUILD_opencv_plot=OFF \ -DBUILD_opencv_quality=OFF \ -DBUILD_opencv_reg=OFF \ -DBUILD_opencv_rgbd=OFF \ -DBUILD_opencv_saliency=OFF \ -DBUILD_opencv_sfm=OFF \ -DBUILD_opencv_shape=OFF \ -DBUILD_opencv_stereo=OFF \ -DBUILD_opencv_structured_light=OFF \ -DBUILD_opencv_superres=OFF \ -DBUILD_opencv_surface_matching=OFF \ -DBUILD_opencv_text=OFF \ -DBUILD_opencv_tracking=OFF \ -DBUILD_opencv_videostab=OFF \ -DBUILD_opencv_viz=OFF \ -DBUILD_opencv_xfeatures2d=OFF \ -DBUILD_opencv_ximgproc=OFF \ -DBUILD_opencv_xobjdetect=OFF \ -DBUILD_opencv_xphoto=OFF \ -DCMAKE_CXX_FLAGS="${CMAKE_CXX_FLAGS} -std=c++11 -march=armv8-a+simd" .. RUN make -j4 RUN make install WORKDIR /home/root/opencv-opencl CMD ["/bin/bash"] -
I overcame that problem by adjusting the WORKDIR and PATH. Moreover adding sudo apt-update.
However, I always come back to the same problem no matter what i do.
I decided to build in my host computer and load in target to head off "No Space Problem" in the target but the problem also occurred in the host as well. I cannot proceed any how.Any suggestions from your side?
/home/opencv-opencl/opencv-3.4.6/build/modules/calib3d/test_precomp.hpp:20:1: fatal error: can't write PCH file: No space left on device } // namespace ^ compilation terminated. In file included from /home/opencv-opencl/opencv-3.4.6/build/modules/features2d/perf_precomp.hpp:5:0: /home/opencv-opencl/opencv-3.4.6/modules/features2d/include/opencv2/features2d.hpp:1426:1: fatal error: can't write PCH file: No space left on device } /* namespace cv */ ^ make: *** [all] Error 2 The command '/bin/sh -c make -j4' returned a non-zero code: 2REPOSITORY TAG IMAGE ID CREATED SIZE <none> <none> f1a9b038119e 18 minutes ago 1.81GB roskinetic-xenial v1.0 e76c6e4f806e About an hour ago 1.98GB roskinetic-xenial minimal fcdda3d30808 3 hours ago 1.56GB roskinetic-xenial base d22679ae8e50 3 hours ago 1.37GB multiarch/qemu-user-static latest a217e72a8293 3 months ago 280MB hello-world latest a29f45ccde2a 15 months ago 9.14kB aarch64/ubuntu xenial a7d1ddc47ced 3 years ago 110MBCould you @sarahl solve your issue?
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Hi @Voxlady ,
I'm scratching my head on this one, I don't have anything helpful yet but will keep an eye out!
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@modaltb thanks so much! I was actually wondering if I needed something like buildx for the multi-arch building, but I couldn't get it to work with the Ubuntu version of docker. But this seemed to fix my previous issue, so I'll see how this goes. Just trying the first command for now without the COPY line.
@Voxlady I'll let you know if this fixes my issue. Haven't gotten to the OpenCV portion yet. I don't know what your disk storage constraints are on the raspberry pi, but I'm running on an amd64 Ubuntu 18.04 machine which hopefully will not run into storage issues. I noticed on the Voxl that what was taking up a lot of space was the docker overlays. I wonder if condensing all the dockerfiles into a single one would help (if you don't need all the intermediate images)?
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Thanks for the update. We really appreciate the feedback and community response!
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@modaltb okay it finally built, but when I tried to load it onto the Voxl, it ran out of space. So now I'm trying to build a new version with fewer intermediate images and with opencl removed. Are there any other ways to make more space for docker?
@Voxlady were you able to load your roskinetic+opencv image to the Voxl? Did you use 4.2.0 or 3.4.6 or another opencv version?
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Yes, I was able to load the image and even download additional packages in the container.
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I merged two base files from Opencv/cl and kinetic. Moreover, I put everything that's in Dockerfile.opencv into Dockerfile.xenial-packages. So, in the end I didn't have any extra Opencv-cl file. I also disabled Opencl.
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Most importantly, after I built roskinetic-xenial:v1.0, I deleted other two images base and minimal. I think that's okay to delete since no error or failure has occurred so far.
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Last, I used some best practices suggested by Docker. Especially, for Dockerfile.xenial-base. See sorting multi-line arguments .
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I think 3.4.6 version doesn't have a corresponding release in GitHub. So, ARG opencv_version=4.2.0 in Dockerfile.opencv assigns automatically. Therefore, I went with 4.2.0.
Hopefully it helps.
All the best -
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@modaltb So I finally got the docker loaded, and also built cv_bridge and the camera ros driver. However, it doesn't seem to be reading in the camera (a FLIR). When I'm outside the docker, plugging in the device adds /dev/ttyACM0 and /dev/video2, the latter of which is used by the ros node. Is there something I need to do when running the docker to have access to the usb devices?
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@sarahl , here's an example of how we map and HDMI adapter into docker, not exactly the same but shows the usage:
https://docs.modalai.com/hdmi-input-accessory-manual/#start-the-ffmpeg-docker
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@modaltb thanks, I actually tried something similar by mapping /dev to /dev, and also passing it in with the --device parameter, but I'll try this out! is there a reason it's mapped as /dev to /opt in here? Should the /dev directory not be used in the docker contained? I did notice when I plugged and unplugged the device and ran ls /dev, that the device list did not update.
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@modaltb actually I think it's working now, and I somehow didn't actually have to map the /dev port. Turns out I just had a typo in my launch file.
Thanks again for all the help! -
@modaltb I wanted to send an update, I was able to build and run an Ubuntu 18.04 + ROS Melodic docker + OpenCV 4.2.0 (because some of my nodes weren't working on the ROS Kinetic docker), but did require using multi-line arguments as @Voxlady suggested to reduce the size enough to fit. It seems like the size constraints are somewhere around 2.7 GB virtual docker size, and stem from too many docker overlays. Is there anyway around that in case there is a need for larger docker images?
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Hi @sarahl , unfortunately I don't have a quick answer for this
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@sarahl You could try using an SD card to build. This would give you a lot more space. You would have to change the Docker start service to tell it to use the SD card instead of /data for the build.
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@Eric-Katzfey Thanks for the suggestion.
For anyone else interested in doing this, these are the steps I took to accomplish this.
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In order to change where the root of the docker runtime points to in the docker service go to
/etc/systemd/system/docker-start.serviceand change the following line so that it uses the sd card(ext4 format) in the voxlExecStart=/usr/bin/docker daemon -g /mnt/sdcard -
restart the service for the changes to take effect:
systemctl restart docker-start.service -
Delete the directories that docker uses in the data partition:
cd /data; rm -rf containers linkgraph.db overlay tmp volumes graph network repositories-overlay trust -
[NOTE] The previous commands will delete any images that were previously available.
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You can now run
voxl-configure-docker-support.shand a hello world image will be created
and the directories that were deleted from the/datapartition will be in the/mnt/sdcard
directory. -
You can verify that you have freed up the /data partition via
df -h
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Thank you for following up! Added to the docs here: https://docs.modalai.com/docker-on-voxl/
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@Chad-Sweet cool, happy to contribute!
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@Chad-Sweet Hey, I updated my voxl to the newest system image and after doing so my docker is using
docker-start.servicewhile before it was usingdocker-daemon.service.Not sure why this has changed, but I have updated the above instructions and wanted to let you know so you could change this in the documentation.
Is there a reason why this would have changed after flashing a new system image onto the device? Both times I configured my docker by using
voxl-configure-docker-support.sh
