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Hello, thank you for your contribution. I encountered two issues during the model training process.
Firstly, in my initial training, I aimed to detect cancerous lesions in the prostate. The input i…
NGYLK updated
1 month ago
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Script config in UI:
![image](https://github.com/user-attachments/assets/7d4f9fd7-3f36-4e2b-a352-ddf9ce16b15c)
The test script:
```
from argparse import ArgumentParser
def parse_args():
…
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Hi there,
looks like the damage formula default label for inline rolls currently looks rather strange if () are used.
That's how we localize persistent damage:
![image](https://github.com/user-atta…
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### Community Note
* Please vote on this issue by adding a 👍 [reaction](https://blog.github.com/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) to the original issue to help the…
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Follow on from https://github.com/dotnet/aspire/issues/4346#issuecomment-2169204891.
When building images with `FromDockerfile`, we should consider adding some default labels to the image.
This …
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Can the detector that is trained with real + synthetic images achieve comparable performance to the off-the-shelf detector (or improve?) The logic here looks weird.
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I'm a pathology image analysis researcher and use your library for creating heatmaps.
I would appreciate if you could add a feature allowing images to be displayed as labels for each feature (row)…
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Awesome work !
> “These images were labeled for clarity and comprehension complexity using GPT-4V (OpenAI), with our designed prompt shown in Figure 2.”
Could you share the labeled image and t…
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Based on #12:
I think the whole scene concept is a little bit too much effort to implement in a next step (although I like the general idea), so it probably is a good idea to break the idea down in…
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I wonder if there would be any value (r.e. self-driving car experiments) in road layout markup,
i.e. the seemingly 'boring' empty road images could actually serve a purpose.
I'm sure there's plenty …