CBCT2voc

This is voc format creation toolkit for .dcm data. Assuming that you have prepared your original CT data and annotations. This toolkit can realize:

• 1. generate gray images from each .dcm data. convert_from_dicom_to_jpg() generate_gray()
• 2. generate binary mask from annotations including draw contours and filling holes. FillHole()
• 3. rescale the corresponding grayscale image and annotation into a fixed size.
• 4. generate train and val data split .txt according to the input ratio. txt_generate()

run

python label.py

This command helps to create binary masks from gray masks. you will find train.txt, val.txt which are formed by voc data structure.

Application on deeplab v3+

This is an application on seantic segmentation by deeplab v3+.