Blendmask training on custom dataset but category ID or class_name wrong

[kimile599]

I was able to train the blendmask and inference the model on my custom dataset which is prepared in coco format. The segmentation was good but the class_name on the bounding box was still person and bicycle, which obviously came from the coco2017_train dataset. I can see my dataset registered correct and the thing_class also seemed to be right.

Have no idea how to solve it.

[Stenyears]

i have the same question .did you solve it?

[rasheedtobi]

In AdelaiDet/configs/BlendMask/Base-BlendMask.yaml, the default settings is: DATASETS: TRAIN: ("coco_2017_train",) TEST: ("coco_2017_val",)

which references to the classes in coco dataset. First of all, change the default and use the registered name

secondly, have to define the classes and register the dataset in demo.py file.