Comments (5)
otamajakusi
commented on August 17, 2024
@Ankur-singh
Thank you for the reporting the issue!
The issue has been fixed it at f07ef61.
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otamajakusi
commented on August 17, 2024
add memo to support gstreamer at 6413412.
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Ankur-singh
commented on August 17, 2024
Thank you so much @otamajakusi for the prompt response. It looks like both the above changes are made to feature/yolov7 branch and not the main branch. I don't know if this was intentional or was done by mistake. I am really sorry, but I think both these changes are relevant in case of yolov5 model as well. So, pushing it in the main branch would make more sense.
I might be wrong. Please correct me if I am missing something. Do you have some other use-case in mind?
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otamajakusi
commented on August 17, 2024
Oh, sorry, merging to feature/yolov7 is not intentional. I'll merge that changes to main, thank for the report! and sorry for confusing.
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otamajakusi
commented on August 17, 2024
@Ankur-singh
Sorry, I think I can support CSI camera but it takes much time to evaluate so currently I'd like to remove CSI camera support for this docker environment.
main branch is updated.
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Related Issues (14)
- jetpack 4.5 support HOT 2
- Dockerfile Failed to clone 'opencv_extra' at step 15/19 HOT 2
- Purpose of the Dockerfile Base Image if we are installing torch and torchvision? HOT 4
- Is it possible to reduce launch time? HOT 4
- OCI runtime create failed: HOT 2
- Build.sh complains about unknown JetPack version even though I'm on 4.6 HOT 2
- ImportError: /usr/lib/aarch64-linux-gnu/libgomp.so.1: cannot allocate memory in static TLS block HOT 7
- [SOLVED] docker: unknown server OS: .
- Failed to load module "canberra-gtk-module" using MIPI CSI Camera HOT 8
- RuntimeError: CUDA error: device kernel image is invalid HOT 13
- Run Yolov5 on host environment instead of container HOT 2
- Cannot run yolov5 on Python3.6 HOT 2
- Jetsonnano + YOLOv5 could not work on python 3.6.9 HOT 16
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