How can I transform depth map to real depth ?

[kaixinbear]

I notice that you turn the depth map to real depth by dividing 256.
But when I change the depth to point cloud, I found this value not correct.
Could you tell me why you divide 256 to get the depth?

[codyreading]

If you take a look at the depth completion code I used: https://github.com/kujason/ip_basic/blob/master/demos/depth_completion.py#L180.

They multiply by 256 before saving it to an image, so I just do the reverse when I load in the depth maps to recover the real depths.

[kaixinbear]

OK, I solve it .Thx

[Len-Li]

Hi, how can I transform depth distribution to depth map according to different Depth Discretization Methods?

[codyreading]

Hello!

You can take the expectation of the depth distributions. Basically, you multiply the depth distribution scores by the bin center and sum these to get the estimated depth value for each pixel.

[Len-Li]

Hello!

You can take the expectation of the depth distributions. Basically, you multiply the depth distribution scores by the bin center and sum these to get the estimated depth value for each pixel.

Thanks for your reply!
How about I simply using the argmax bin as the final depth? I can use the inverse form of the code to calculate the depth map.