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Hey everybody. I am trying to predict depth from the test images of Middlebury 2006. However the obtained results are very poor and they have a large portion of estimated map the with no disparity (like the maximum value).
In particular I am using the mb slow model on full size images.
ndisp is set as
ndisp = max(gtDisp) * 1.1
where gtDisp is the ground-truth disparity map for of a given stereo pair of interest.
Do you know this issue?
Thank you in advance.
The text was updated successfully, but these errors were encountered:
tltsilveira
changed the title
What are the correct dimension and ndisp for Middlebury datasets?
What are the correct dimension and ndisp values for Middlebury datasets?
Sep 17, 2018
if you open the calib.txt file for each image, you will find it. Files contain information like this:
cam0=[1038.018 0 322.037; 0 1038.018 243.393; 0 0 1]
cam1=[1038.018 0 375.308; 0 1038.018 243.393; 0 0 1]
doffs=53.271
baseline=176.252
width=718
height=496
ndisp=73
isint=0
vmin=8
vmax=65
dyavg=0.184
dymax=0.423
Hey everybody. I am trying to predict depth from the test images of Middlebury 2006. However the obtained results are very poor and they have a large portion of estimated map the with no disparity (like the maximum value).
In particular I am using the mb slow model on full size images.
ndisp is set as
ndisp = max(gtDisp) * 1.1
where gtDisp is the ground-truth disparity map for of a given stereo pair of interest.
Do you know this issue?
Thank you in advance.
The text was updated successfully, but these errors were encountered: