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Thanks for sharing your work. where can I get model: "celeba_unet_256_1_2_segmentation_v2.pth"
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Hi!
First of all I like to thank you about this great project and good code. I am using your project to try to segment some medical images with two classes (Background and Roots). To do this I have u…
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after getting the result i want to use unet on it to do segmentation. how to do it?
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I found a variable *y* wasn't used in this line: https://github.com/pykao/BraTS2018-tumor-segmentation/blob/master/models/unet.py#L43
Could you consider this case?
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I got the clear-cut idea of the encoder side of the segmentation_models. I am using Resnet 152 as the UNet backbone. But I am unclear about the decoder architecture. What configuration of kernel size,…
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I'd love to contribute an example of using UNet for image segmentation - would this be useful?
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- [x] face_detection/retinaface
- [x] image_segmentation/dense_prediction_transformers
- [x] image_segmentation/pytorch-unet
- [x] object_tracking/bytetrack
- [x] super_resolution/han
- [x] super…
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Hi,
I have tried "runPipeline --datahub breast-tumour-segmentation --file my_slide.svs". But none results are saved. Could you please provide a full command or python codes to segment a testing WSI…
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It would be very useful to have a cell-segmentation model that takes in cell images and predicts a segmentation model. Underneath the hood, this could probably make use of a UNet architecture for lear…
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After setting up the environment, when I enter the preprocess folder to prepare the mask, CXAS reports an error saying that it cannot access the CXAS model. Has anyone encountered a similar issue?