Comments (3)
Try building without the gui on. To switch to the command line:
Temporary:
sudo systemctl isolate multi-user.target
Persistent across reboots:
sudo systemctl set-default multi-user.target
Once the build is done, just substitute graphical.target
instead of multi-user.target
to go back.
from nano_build_opencv.
`
[ 43%] Built target opencv_alphamat
[ 43%] Linking CXX shared library ../../lib/libopencv_cudafilters.so
[ 45%] Built target opencv_cudafilters
[ 46%] Building NVCC (Device) object modules/cudaimgproc/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_bilateral_filter.cu.o
: fatal error: when writing output to /tmp/tmpxft_000078b9_00000000-5_bilateral_filter.cpp4.ii: No space left on device
compilation terminated.
CMake Error at cuda_compile_1_generated_bilateral_filter.cu.o.RELEASE.cmake:221 (message):
Error generating
/tmp/build_opencv/opencv/build/modules/cudaimgproc/CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_bilateral_filter.cu.o
modules/cudaimgproc/CMakeFiles/opencv_cudaimgproc.dir/build.make:337: recipe for target 'modules/cudaimgproc/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_bilateral_filter.cu.o' failed
make[2]: *** [modules/cudaimgproc/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_bilateral_filter.cu.o] Error 1
CMakeFiles/Makefile2:3695: recipe for target 'modules/cudaimgproc/CMakeFiles/opencv_cudaimgproc.dir/all' failed
make[1]: *** [modules/cudaimgproc/CMakeFiles/opencv_cudaimgproc.dir/all] Error 2
Makefile:162: recipe for target 'all' failed
make: *** [all] Error 2
Do you wish to remove temporary build files in /tmp/build_opencv ?
`
Building without gui.
Can i build jetson with 16 gb sd card inside from flash card pluged in usb port?
from nano_build_opencv.
You could add a swap file on an external disk, even usb, sure, but it will probably build slower than just turning the GUI off temporarily. Swap is slow on fast SSDs. MicroSD cards are generally even slower than spinning disks, so it'll probably hurt performance if you set that up.
from nano_build_opencv.
Related Issues (20)
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- Logging is preventing multiple jobs HOT 2
- Not an Issue but you saved my life. Thank you. Drop a star all. HOT 1
- In jtop still cuda support No HOT 3
- Unsupported gpu architecture 'compute_87' HOT 1
- Cannot generate make file - "Configuration Incomplete" HOT 2
- jetson nano errors to install it HOT 5
- Can not install it in docker HOT 1
- After install, opencv version displayed by 'jtop' and python script by 'cv2.getBuildInformation()' doesn't match. HOT 1
- fatal: unable to access 'https://github.com/opencv/opencv.git/': Failed to connect to github.com port 443: θΏζ₯θΆ ζΆ HOT 1
- Makefile:162: recipe for target 'all' failed
- Failed to build : Package 'libavresample-dev' has no installation candidate
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from nano_build_opencv.