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Can I use this method for lytro style light field? #18
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Hi @DarwinSenior , |
I was trying with CG generated images, but it seems the images wrapped together but the inference does not have any effects. In the code, I generate MPI with ibr_runner = DeepIBR()
ibr_runner.load_graph('./checkpoints/papermodel/checkpoint')
mpis = run_inference(imgs, poses, mpi_bds, ibr_runner, num_planes, patched) and did plt.imsave(os.path.join(savedir, 'mpi{:02d}/disps.png'.format(i)), mpis[i].disps) for each image |
Are you using only 4 input images? |
Thank you. I have solved it. It was my mistake in using too few planes as parameters and mixing up with num_planes and N |
Hello, I would like to ask you how you generate the attitude matrix from lytro data and convert it into an NPY file? |
As stated, since colmap fails to register for Lytro style data, I am trying to manually generate poses and mpi_bds. However, I think I might do something wrong here.
I figured out that the poses is a 5x3 matrix which generates the homography.
If the horizontal baseline and vertical baseline of each view is x and y and the image is of size hxw and the focus is f, is this the right matrix for poses?
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