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Hi,
There are three daatset .Which dataset have you used for training?
SBVPI
1.Full dataset
2.segmentation subset
3.sclera subset
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I'm working on a similar application like your hosted demo. When I use the same objectId for two different objects it still works great in the demo, but not at all when running it myself.
It looks…
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Hello team, thanks for the repo. Is there any script/notebook available to train the model on a custom dataset? Thanks!
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It would be helpful to have access to the torchvision.models.detection.maskrcnn_resnet50_fpn via raster-vision.
Hi @lewfish
I've been slowly working through the code in my [fork](https://github…
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I have run lesson2 ipynb in Colab several times, but I couldn't get a good segmentation result though the training stage is normal(val loss 0.010, val acc 0.95). In some cases, the masks don't even ex…
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I have dataset witch is not in annotated format. it have directory like this -
training_images //(folder name)
1.jpg
1.txt (bounding box information)
2.jpg
2.txt
…
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- [x] Use case 1 (to decide - e.g. one from Evie)
- [x] Use case 2 (to decide - e.g. one from Marjan)
ots22 updated
5 months ago
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The CellProfiler pipeline used in steinbock does not match the current pipeline in the ImcSegmentationPipeline.
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Hi, @tovacinni
Thanks for your work, I have a question about the implementation of dual task loss in loss.py. I think the dual task loss should take the estimation from classical stream N, K, H, W a…
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I want to find region properties like area, eccentricity, .. for the predicted mask of each image. From several tutorials and documentations, I found that detectron2 returns the predicted masks in bit…