How should I understand these symbols?

[BaofengZan]

Firstly, I would like to thank you for your work. Regarding the code, I have some doubts. What do these variables represent in the training script?

1. ONT.BASE_CLS 83 -- Is this the number of categories (COCO dataset)?
2. CONT.INC_CLS 5 -- Is this also the number of categories? And it's not in the above 83 categories?
3. base_queries=100. -- What does this mean? Can it be modified?
4. num_prompts=10. -- as above

5. If I have a set of data with 10 categories. I have already trained step 0. When I proceed to train step 1, it's still these 10 categories but with different images. Should I set BASE_CLS equal to INC_CLS, both as 10?

[qjadud1994]

Hi.

You need to understand the continual segmentation settings.

1. CONT.BASE_CLS means the number of classes at step 0, termed base classes. The total number of classes for COCO-Panoptic dataset is 133. We split the 133 classes into 83 and 50 classes. CONT.BASE_CLS = 83 means that we set the number of base classes for COCO as 83.

2. CONT.INC_CLS means the number of incremented classes. CONT.INC_CLS = 5 means that we repeatedly guide 5 new classes to the model and repeat this process 10 times (until the number of total incremented classes becomes 50).

3. base_queries is a hyperparameter, and we set it to the number of base classes: base_queries = CONT.BASE_CLS.

4. num_prompts is also a hyperparameter, num_prompts = CONT.INC_CLS but the minimum value of num_prompts is set to 10.

5. BASE_CLS is set to the number of classes at step 0 and INC_CLS is set to 10.