Using my home-brewed opencv 4.2.0 video is working with much better performance but long time-lag. Platform is Raspberry 3+ (Raspbian Buster) (fresh update/upgrade) and latest opencv 4.2.0.
This is prove of concept code. Tello is controlled using an other Phyton script.
I find a solution for the video-lag on my Rapberry 3+ and it turns out that it worked well on my Windows Client with opencv-python 4.1.2.30 plug-in installed!
So I guess there is no need for home-brewing opencv which is an other nightmare on Raspberry PI 3+. I made it anyway, but that is another story.
So guys now the aree is open to implement new Tello software using opencv image recognition features and ....
Let's go ahead!
See my gist:
TelloopencvCam
This is prove of concept code. Tello is controlled using an other Phyton script.
I find a solution for the video-lag on my Rapberry 3+ and it turns out that it worked well on my Windows Client with opencv-python 4.1.2.30 plug-in installed!
So I guess there is no need for home-brewing opencv which is an other nightmare on Raspberry PI 3+. I made it anyway, but that is another story.
So guys now the aree is open to implement new Tello software using opencv image recognition features and ....
Let's go ahead!
See my gist:
TelloopencvCam
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