About image crop
heguohao0728 opened this issue · comments
Sorry to disturbe you again..
I notice that you do crop during training and crop the image to 288x576.
I think this operation will lose the feature outside the 288x576, like the bule area:
So why doing the crop like this? and I find that when testing, the image size is not been largely cropped (the size is 368x1232). Why the model trained by 288x576 can use on the 368x1232 and can still get the result? Is it because you also give the 1/n (1/16 in this case) disp when training?
Thanks.
And How to consider the camera parameters?
Because the camera which get datas in sceneflow datasets is different from the camera which is used in kitti datasets.
Why different camera with different camera parameters can share and train in the same net?
In training, we use "random" crop.
The model does not need camera parameters because it predict "disparity" where disparity = focal length * stereo camera distance / depth.
Yes, I've known the formula.
Sorry I'm not discribing the question very well, but I mean the beseline length is the same in these two datasets? And the sceneflow has 15mm and 35mm focal length, kitti has the other.
You mean the focal length and the baseline length will not influence the net?
@heguohao0728
Yes, you can see the formula, the baseline and focal length are both normalized by depth.