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I want to evaluate the results of segment anything on cells. The issue is that I am struggling to convert the masks generated by segment anything to the format required by compute_metrics.py. I follow…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Great paper! I am trying to retrain this model on an image dataset where I'm able to generate the segmentation masks using DeepLab v2. However, I don't have a config yaml file for training transformer…
ash80 updated
2 years ago
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“Given that the predicted segments may overlap, we sort them based on area and prioritize smaller segments. Specifically, when a pixel belongs to multiple segments, we select the segment with the smal…
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I'm confused about your paper's use of the term "round" and your training scheme in general. Is "round" the same thing as your term t?
Am I correct in understanding that the training on a given …
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Hi Authors,
Thanks for this great repo. I just wonder what is the purpose of using masks in COCO dataset?
I have tracked the code for masks. My guess is that masks are used for shrinking the po…
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Segmentation Masks:
- [x] AugMix: https://github.com/keras-team/keras-cv/pull/1988
- [x] FourierMix: https://github.com/keras-team/keras-cv/pull/1991
- [ ] RandAugment
- [x] RandomCrop: https://gi…
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I tried `parsers.COCOMaskParser` to load my COCO dataset but getting an error:
`ValueError: invalid literal for int() with base 10: 'YXi61og0000og00QXO00000O1000000O10O100000O100000000O10000000000O…
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I have a new dataset I would like to train on but do not have segmentation masks. Is it possible to train without the masks?
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Hello,
I am trying to use SemTorch for instance segmentation for the case when multiple masks are present in the same image. By looking at the source code and the[ MaskRCNN notebook ](https://githu…