PolarMask
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Train with own dataset.
How to train with your own dataset? I converted the data to coco format; Some file configuration changes were made following mmdetection. But the training result label is still coco's.
Hi, I cannot understand your meanings, please provide more details.
Hi, I cannot understand your meanings, please provide more details.
There is no training record(eg. loss) during training my own data set. During visualization, the picture is not well recognized, and the label is still the data label of coco, instead of self-labeling.
Hi, I cannot understand your meanings, please provide more details.
There is no training record(eg. loss) during training my own data set. During visualization, the picture is not well recognized, and the label is still the data label of coco, instead of self-labeling.
Make sure you set correct num_classes
in config & CLASSES
in mmdet/datasets/coco_seg.py
.
It seems that the num_classes
should have background included.
Hope this helps : )