Can I use my own dataset

[SiChuChu]

Hello, thank you for your work !

I want to use SSA on custom categories and datasets. I saw you mentioned that users can customize in terms of the segmentor's architecture and the interested categories. But can I use my own datasets ?
I've made some attempts. But I don't understand what is "semantic_branch_processor", I try to use one of it directly.But an error will be reported —— ValueError: You have to specify the task_input. Found None. And I guess it has something to do with the fact that I didn't set the "semantic_branch_processor" correctly.
I want to know how to set up "semantic_branch_processor" if I want to use my own dataset.

Thank you very much for any reply.

Appendix
command：
python scripts/main_ssa.py --ckpt_path ./ckp/sam_vit_h_4b8939.pth --save_img --world_size 1 --dataset VOC2012 --data_dir /media/guo/DATA/chen/lraspp/data/VOCdevkit/VOC2012/JPEGImages --gt_path /media/guo/DATA/chen/lraspp/data/VOCdevkit/VOC2012/Annotations --out_dir output_VOC2012
Complete error reporting：
Traceback (most recent call last):
File "scripts/main_ssa_try.py", line 269, in
main(0, args)
File "scripts/main_ssa_try.py", line 248, in main
semantic_segment_anything_inference(file_name, args.out_dir, rank, img=img, save_img=args.save_img,
File "/media/guo/DATA/chen/SSA/Semantic-Segment-Anything/scripts/pipeline.py", line 168, in semantic_segment_anything_inference
class_ids = segformer_func(img, semantic_branch_processor, semantic_branch_model, rank)
File "/media/guo/DATA/chen/SSA/Semantic-Segment-Anything/scripts/segformer.py", line 5, in segformer_segmentation
inputs = processor(images=image, return_tensors="pt").to(rank)
File "/home/guo/anaconda3/envs/ssa/lib/python3.8/site-packages/transformers/models/oneformer/processing_oneformer.py", line 112, in call
raise ValueError("You have to specify the task_input. Found None.")
ValueError: You have to specify the task_input. Found None.

[OSSome01]

Were you able to figure it out?