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Hi,
I am using Mesmer to segment cell nuclei of multiplexed immunofluorescence images.
To check if the segmentation works well, is it possible to obtain the segmentation outlines overlaid on the c…
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Some images have multiple segmentation masks available.
As far as i've researched, their differ in their skill level.
Currently the system just chooses one of the masks, without consideration of t…
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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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Hello, I tried your method and succesfully got the images. I now confused about how many classfications do the dataset have? Are there four classfications?
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**When computing the segmentation results, the model() function is employed.**
def evaluate_model_performance(validation_loader, model, args):
# Trackers for metrics
trackers = {
"…
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For semantic segmentation work, it would be nice to be able to specify image backgrounds and have the serialized data overlay those images as colored masks, maybe with variable opacity.
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
_No …
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I am seeking guidance on performing SAM fine-tuning for multi-mask instance segmentation. Additionally, during the inference stage, I wish to utilize the model.predict function to predict multiple ins…
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Hello, first I would like to thank your team because I find your work very helpful and impressive.
I'm trying to reproduce the dataset and can't find the part relative to how the LNDB data was pre…