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jason-li-831202 / Vehicle-CV-ADAS

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .
GNU General Public License v3.0
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qt.qpa.xcb: could not connect to display :.0 #20

Closed nj888-art closed 3 months ago

nj888-art commented 5 months ago

I meet an issue when run the demo.py. The error was: qt.qpa.xcb: could not connect to display :.0 qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/nijuan/anaconda3/envs/python3.7/lib/python3.7/site-packages/cv2/qt/plugins" even though it was found. This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.

Available platform plugins are: xcb.

Aborted (core dumped)

My local computer operating system is windows and I run the code on the remote server Ubuntu os , and then report error like this.Could you tell me the reason about this? Thanks !

jason-li-831202 commented 4 months ago

If you use cv.imshow() remotely, you need to install extra libraries. You can crawl more related articles.