Why parametric space label is generated?
When we download the dataset, it contains the ground truth.
Kindly enlighten is it necessary to create parametric space label while creating a custom dataset?
If you want to train DHT on your custom dataset, the straight line annotations is needed to calculate the parameteric space lable. Then train your model with the parameteric space label.
If I create the straight line annotations then How can I calculate parametric space label?
There are two scripts of calculating parametric space label each for different dataset (prepare_data_NKL.py & prepare_data_JTLEE.py).
Can any of these two (prepare_data_NKL.py & prepare_data_JTLEE.py) be used If I create my custom dataset to create parametric space label?
@Hanqer @zeakey @garipovroma Kindly take a look at my Github repository. I tried to reproduce your work on Google Colab. Sometimes its convenient to run on Google Colab for the users and for instant results visualization. If you approve the work then you can provide reference of my repository on yours. Thanks!
https://github.com/HassanBinHaroon/deep-hough-transform