@dbolya
Hi, I use yolact++ to perform handwriting circle instance segmentation.
After training, my custom benchmark metric is:
box_mAP_0.5: 97.91
mask_mAP_0.5:93.11
When the circle is isolated, the prediction results is right. But when prediction box is overlapping, the prediction instance mask performance is poor, for example:
Hi,when you try your own data, have you changed the pred_scales and pred_aspect_ratios for the box or anything else?
Cause it looks like something wrong in the config file.
@dbolya Hi, I use yolact++ to perform handwriting circle instance segmentation. After training, my custom benchmark metric is:
When the circle is isolated, the prediction results is right. But when prediction box is overlapping, the prediction instance mask performance is poor, for example:
Compared with the original config, I only modify:
By the way, I use the RLE to encode the instance mask, so I ensure my instance mask training label is right.