Closed truncs closed 2 years ago
Hi, I was wondering how this issue was resolved at the end? I have a custom dataset of 2 classes in COCO format, and I modified the number of classes in the script, ran it with the same commands as you, and got the same observations (aka. all correlation maps are identical). I used a pretrained r-50 model (trained with COCO), then retrained on my own dataset. Detection yielded perfectly acceptable results, and I froze the weights from that model for my segmentation task, but I was not able to get it to work.
FYI. In my dataset, there are two objects, one significantly bigger than the other, and the smaller one is always encapsulated within the larger one. The detection model was able to find both objects well, but segmentation did not work.
Instructions To Reproduce the Issue:
git diff
) or what code you wroteI am fine tuning the coco detr checkpoint using my own dataset of 24 classes (the number of classes was modified in the script). The dataset is in coco format. Single image example:
For fine tuning segmentation
Expected behavior:
Although the mask is accurate as a whole there is no instance separation.