I want to train with custom dataset, and I have some questions:
(1) my custom dataset has two folders images and labels, where each label image is RGB image which uses different color for different object class. Should I organize this dataset in Pascal VOC format?
(2) I need to adapt voc_unet.py for custom dataset, Pascal VOC uses ignore_label for object boundary, how to set ignore_label for my own custom dataset?
(3) How to set crop_size_h, crop_size_w = 513, 513? My custom dataset has image dimension 512x512.
Thanks!
I want to train with custom dataset, and I have some questions:
(1) my custom dataset has two folders
imagesandlabels, where each label image is RGB image which uses different color for different object class. Should I organize this dataset in Pascal VOC format?(2) I need to adapt voc_unet.py for custom dataset, Pascal VOC uses
ignore_labelfor object boundary, how to setignore_labelfor my own custom dataset?(3) How to set
crop_size_h, crop_size_w = 513, 513? My custom dataset has image dimension512x512.Thanks!