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First of all, great work!
I assume that in order to use it I have to train the weights on a dataset with superpixels annotations, or at least some boundry boxes.
Am I right?
What do you suggest me …
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Helpful statistics to see while labeling superpixels may include
- Average prediction certainty
- Number of labeled superpixels of each category
- Average certainty per category
- Trending certa…
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Hello, thanks for the amazing work you've done!
I've read the released code and I noticed that there are no superpixel number information in the proprocess code for SAM related to semantic segmentati…
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This came up on a call. There was concern about a scenario where users run SuperpixelClassification on a folder with images, generating superpixels, and doing some active learning before adding new im…
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I am trying to generate the mnist75 dataset by running: ./scripts/prepare_data.sh and I am getting the following stacktrace:
Fr Dez 16 17:57:00 CET 2022
start time: 2022-12-16 17:57:01.936994
datas…
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App name : bounding box app, trainable segmentation app, superpixels app
At the moment we use quite a lot of CSS to make sure that the different parts of the app are responsive (when the screen is …
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When I look into MnistSuperpixels dataset, each graph has exactly 75 nodes.
When I convert MNIST to superpixels by myself using ToSLIC transform from pytorch geometric, I get exactly 81 nodes for e…
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Hi, I would like to thank you for sharing the code with us.
I have a question, I have downloaded MCG Proposals for PASCAL VOC 2012 in [here](
https://www2.eecs.berkeley.edu/Research/Projects/CS/visi…
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## Description
When using a workflow where the user inputs their own segmentation image, (e.g. object classification), if the objects in the segmentation mask pre-indexed (i.e. have intensities pro…
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Multicut in headless mode expects to get all 4 inputs from the data-selection applet:
raw data, probabilities, superpixels and groundtruth.
However, this does not make sense, because we want to use …