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Build problem for Jetson Nano #3
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I know the answer to the second question. Currently python does not support CUDA acceleration in the 3.X series. I don't know if that has changed in 4.0. Thanks for moving the issue here, it's really difficult to be coherent on YouTube about these matters. |
Thanks Jim, for the answer. I'm afraid that the libGL.so cannot be located under the designated directory for the freshly installed Jetpack 4.2, which rendered the libGL.so a broken link after the error showed up. |
Have you checked this on a freshly flashed Nano? When I check on my system, it is there. It could be that something overwrote/moved it when the dependencies were installed. Can you find it elsewhere on the system? |
Are you building anything else with this, such as opencv_contrib ? |
Just an FYI, I ran into this problem on my Nano. libgl.so was previously available, then at some point after installing a lot of various dependencies (including OpenCV), it was gone. (fixed with sudo apt-get --reinstall install libglvnd-dev) |
Yep I have a similar issue, sudo apt-get --reinstall install libglvnd-dev did not work for me i will retry |
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Hi, I have the same problem in may TX1 flashed with jetpack4.3. But I couldn't find any solution for this problem. I tried two recommend, and they didn't work. What do you think about the problem. Could anyone find a solution. |
I reflashed my TX1 with Jetpack 4.2.3 and I changed the line "sudo ln -sf tegra/libGL.so libGL.so" in buildOpenCV.sh file as below:
I think it is not about jetpack version and I don't know it is exactly true or not but it worked and built the OpenCV3.2. Note: I used the buildOpenCV.sh file in order to build OpenCV3.2 changing the OPENCV_VERSION variable from 3.4.1 to 3.2.0 |
sudo apt-get --reinstall install libglvnd-dev solved this problem |
Hi Jim I've been trying to install native OpenCV 3.4 onto the Jetson Nano module using your Jetson TX1 build repository with no luck. Every time I run into this 'no rule to make target 'usr/lib/aarch64-linux-gnu/libGL.so' problem, is there any way to solve this? Also, does the python API utilise CUDA acceleration for OpenCV?
Thx
Adam
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