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Questions about Multi-type Joint Training in 2D-3D #22
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I guess I didn't set it up well for joint training for this part. Neither of these would work though because that parameter is supposed to be a string not a list. I would suggest either using -d 'data/voxels/*/' and -i 'data/overlays/*/' or using Regex to select for the classes you want. I don't know what joint refers to here, maybe you altered the code? |
Hi,I've changed the list to a string, and the ‘joint’ folder means to put together six voxel files downloaded and converted from the shapenet dataset,because I saw in your paper about the accuracy of joint training of multi-class data and so on, hoping to be able to use your code for multi-class training. |
yes you just mix everything together, but should split by class when evaluating. I generate at 20/20/20 resolution because that is the resolution used to evaluate in the 3D GAN paper. |
Thank you for your answer. It helps me a lot。 |
one
parser.add_argument('-d','--data', default=['data/voxels/sofa','data/voxels/table','data/voxels/boat','data/voxels/car','data/voxels/plane','data/voxels/chair'], help ='The location for the object voxel models.' )
parser.add_argument('-i','--images', default=['data/overlays/sofa','data/overlays/table','data/overlays/boat','data/overlays/car','data/overlays/plane','data/overlays/chair'], help ='The location for the images.' )
another
parser.add_argument('-d','--data', default=['data/voxels/joint',], help ='The location for the object voxel models.' )
parser.add_argument('-i','--images', default=['data/overlays/joint',], help ='The location for the images.' )
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