Open Maxianzhai opened 1 month ago
Q1:What files should I modify to adapt the framework?
Below is my understanding I don't know if there is any problem or else please point it out.
Yes, you can refer to our default dataset to arrange the data.
But what ispointcept/datasets/scannet.py(for example) used for? Do I need to write the corresponding file based on my own dataset?
Yes, but based on DefaultDataset, there is no need to modify too much.
Q4:Can I combine three (N,1) features into (N,3) to use instead of color.npy
This is controlled by data.*.transform.Collect.feat_key in config. Just make sure your new feature is named and put in the data_dict.
Hi, I'm trying to use my own dataset but I'm having some problems.
The point information in my dataset is not quite the same as other datasets, it only has xyz coordinates , three (N,1) features (for path planning)and the label.
Q1:What files should I modify to adapt the framework?
Q2:Below is my understanding I don't know if there is any problem or else please point it out: I need to first write
pointcept/datasets/preprocessing/preprocess_mydataset.py
to process my dataset. Then writeconfigs/mydataset/semseg-pt-v3.py
right?Q3:But what is
pointcept/datasets/scannet.py
(for example) used for? Do I need to write the corresponding file based on my own dataset?Q4:Can I combine three (N,1) features into (N,3) to use instead of color.npy
To add more detail: I need to use PTV3's Semantic Segmentation feature to help me divide the points into two categories. Each element of my three (N,1) features is a boolean array.