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Using Own Dataset #4
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Hi, do you want to use it for training? If so, you will also need images and camera matrix poses. To prepare training dataset see and use: Additional description is in main README.md If only for inference, you will need to probably load it directly in code and use It takes entry["data"] which is a point of cloud of 2048 points (X,Y,Z, R,G,B) and returns code from which Hypernetwork generates NeRF. Data would need to be very similar (scale, shape) to existing ShapeNet objects from existing pre-trained models (car, plane or chair). |
Hi, Yes, I would like to use it for training (my dataset has different classes). I am not sure if I have camera matrix poses, but I do have intrinsic matrices. Thanks |
Yes, it should be different if images are from different angles. |
Hi, I am also interested in the point cloud thing. I am wondering if there is corresponding car/chair/plane point cloud. Now in the ds.zip package, there is only sampled npz files. In 'shapenet' directory, there is nothing. |
In .npz files you should have for each object: point cloud, images and poses. Shapenet directory, which is needed in generating data or calculating metrics need to be downloaded from offical Shapenet source |
Hi
Very Interesting Work.
I have a dataset that has points and colors in the below format in the form of .txt files.
X,Y,Z,R,G,B
Kindly, please suggest how to use your method.
Thanks in advance
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