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I have done two courses on OAK - D. But this tutorial is the whole on another level. Great explanation Sir.
Glad it was helpful!
Have you thought to show the depth greyscale frame from the disparity map of your image? The OpenCV disparity map code doesn't really result in a particularly reliable estimation, and of course it is not AI or deep learning based.
is it possible to put color in these two visualizations?
Hello Sir. Well explanation. I am using Luxonis camera. I want to count cyclist and pedestrians. Want to deploy trained yolov8 model into it . Help?
Hi, any reason why you chose to use camelCase instead of snake_case for the Python API?
Is it possible to access the left and right camera using MATLAB?
Thx for sharing!
I have done two courses on OAK - D. But this tutorial is the whole on another level. Great explanation Sir.
Glad it was helpful!
Have you thought to show the depth greyscale frame from the disparity map of your image? The OpenCV disparity map code doesn't really result in a particularly reliable estimation, and of course it is not AI or deep learning based.
is it possible to put color in these two visualizations?
Hello Sir. Well explanation. I am using Luxonis camera. I want to count cyclist and pedestrians. Want to deploy trained yolov8 model into it . Help?
Hi, any reason why you chose to use camelCase instead of snake_case for the Python API?
Is it possible to access the left and right camera using MATLAB?
Thx for sharing!