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Which data to use ? #3
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Hey, could you be a bit more specific? Best, |
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, |
Hey @themasterlink |
Hey, for just one test image not necessarily, but you need to change the
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 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, |
Hey @themasterlink
Thanks for the nice repo also sorry for not being detailed .
I downloaded the models by running the code with
python download_models.py
, and all the models are in the required folder and then when I run thepredict data_points.py
file withpython predict_datapoint.py --output OUTPUT --use_pretrained_weights /home/trilok/SVR-final/SingleViewReconstruction/SingleViewReconstruction/model
, I am getting an issue and here is the complete traceback , Can you please help me out ?Thanks
Trilok
P.S :- Also the color_normal_mean.hdf5 file is there in the data folder
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