Which data to use ? about singleviewreconstruction HOT 4 CLOSED

Hey,

could you be a bit more specific?

Best,
Max

from singleviewreconstruction.

Hey,

as the exception says, you have the generate the data yourself beforehand. We used SUNCG to generate the training data. However, SUNCG is no longer publicly available, for this reason, we can not share the generated data ourselves. If you already have the dataset SUNCG, you can generate it yourself.

Sorry for the inconvenience. If you don't have access to SUNCG, I would recommend looking into:

https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset

They also offer 3D indoor scenes, you might have to adjust the loaders for the SDFGen, but BlenderProc already fully supports 3D Front.

Best,
Max

from singleviewreconstruction.

Hey @themasterlink
Thank you so much your detailed reply , however we just wanted to test the results on a single data sample of yours that is color_normal_mean.hdf5 ? do we need train.tfrecord for it ?
Thanks
Trilok

from singleviewreconstruction.

Hey,

for just one test image not necessarily, but you need to change the DataSetLoader.py:

This function returns the current image, normal image and voxel information. You can change that to always use the same test image here to get a certain result. But please make sure to use a camera with the same camera intrinsic as used during the training. As I do not expect that the approach works well with a camera intrinsic shift.

You can generate a normal image with the UNetNormalGen.

The color_normal_mean.hdf5 is used here:

and here:

The network was trained with images which were mean-shifted before usage, this has to be done on the test images as well.

Best,
Max

from singleviewreconstruction.