OAK-D Absolute Depth Precision

Hello FS93 ,
After getting the circle on the depth frame, I would take all those depth points, average them out, and calculate spatial coordiantes from the centroid of the circle (with averaged depth). That's essentially what this demo does, except it's square, not circle, but I assume it shouldn't be too complex to change this logic.
Thanks, Erik

Hello FS93 ,
By default, coordinates are taken from right rectified frame. You can also align the depth with other streams, eg. color, example here.
It's the Z coordinate of the object, not the distance to the object. For the actual distance to the object, you would need to use x/y/z and pitagoras formula.
Thanks, Erik

Hello,
I found the following in the given code -
depth = 441.25 * 7.5 / disparity
where 441.25 is the focal length (f) as I understand. I know that the effective focal length for the RGB camera is 3.37 mm and for the stereo camera is 1.3 mm. I was wondering how did you find this 441.25 cm value?

Thanks,
Afsana

Hi afsana ,
Please see docs here: https://docs.luxonis.com/projects/api/en/latest/components/nodes/stereo_depth/#calculate-depth-using-disparity-map

Thanks, Erik

Thanks Erik!

Hi, @FS93 . I'm working on a similar application like yours. After you implement Erik's tips what was the new error between real Z coordinate and that measured by OAK-D camera?

(AlexandreRibeiro for the stereo depth accuracy, see report here)

erik Thanks.

I have some clarification about OAK Camera
We can capture the 7-segment display and convert to number ? Using OAK Camera ?

@asif just replied here: https://discuss.luxonis.com/d/343-accuracy-of-spatial-detection-and-possible-improvements/8

erik Can you please answer Asfanas question here? I am also trying to get the dispartiy converted into depth and can not find in the link you provided the basis for assuming 7.5 as a effective focal lenghth..

Kindly help as soon as you are able to

Hi MamoonIsmailKhalid ,
Please see the documentation here.
Thanks, Erik

erik Thank you!!!

I wanted to just follow up on this, I am using the code given here:
(RGB, DEPT, CONFIDENCE aligned.py)
https://github.com/luxonis/depthai-python/blob/main/examples/StereoDepth/rgb_depth_aligned.py

Essentially I would need to take the disparity output and apply the formula:
depth=441.25∗7.5/disparity(pixel)
to calculate the depth??

Please answer this as I have been stuck on this for past 3 days and my head has been noodling up everday.

THANK YOU IN ADVANCE!!!!

Regards,
Mamoon

Hi MamoonIsmailKhalid ,
If you have 7.5cm baseline distance and 441 [pixels] focal length then yes, that's the correct formula Otherwise, I would strongly suggest using depth output instead of calculating it yourself on the host.
Thanks, Erik

How would one extract the depth data directly? Any code examples you can refer me to??I am using the depth data to extract depth information and to overlay it on the output of 2D pose estimation (Google Mediapie) to recosntruct a 3D pose of the key points extracted from Google mediapipe

Thank you for your help and prompt responses! !

Hi MamoonIsmailKhalid,
You can extract depth data directly with depthai.node.StereoDepth.depth (reference to docs). One example which might help you, compares manual depth calculation (the formula you have been using above) to directly accessing depth trough ".depth" attribute.
Hope this helps.
Jaka

jakaskerl THANK YOU SO MUCH!! I will try that approach and post here if that solved my porblem. But I really appreciate your guidance already