Comments (3)
Hi, the way python works is near imposibble to get async functionality nativly. There are work arounds, but they seem complex so I didn't dive into it.
Have you got any progress? Also openCV is quite resource intensive, that might be reason that your video was lagging( I had 8gb version of pi and 5ghz wifi connection, so didnt have any lag.
I may later add a new commit with updated code and some videos/pictures of the actual car used. As this was a school project and the summer break started, I didn't have time to finnish up this project on Github.
from wifi-car-with-raspberry-pi4.
hi.
i made a project based on yours that only operates telemetry (no video as it laggy on pi zero v2). to work with video i got webrtc webserver working. all work perfectly but i have to open 2 web pages: one for operate (flask server), one for watch (web-rtc). dont know how join them right now.
i have "upgraded" your current project - now it lets using native csi camera on Raspbian 64 bullseye, thanks for this project - https://github.com/pageauc/MoTrack-Picam2-Demo
see my fork of your project it needs only to change 2 strings in camera.py:
from strmcam import strmcam
self.vs = strmcam()
and add to dir some files from project above: strmpilibcam.py,strmcam.py,configcam.py
from wifi-car-with-raspberry-pi4.
One option would be to run an camera server on an ip that could be added as an video link in flask app. There got a be options for it. That way you would still have two servers, but opencv with my aprouch is quite extensive in terms of performance. So good call with you aprouch. I tested this with an rtc camera with an ip camera, works great if you have resourcources. Guesinng pico doesn't have that... So does it aprouch work smoothly with your dual server aprouch??
from wifi-car-with-raspberry-pi4.
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