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Presidio-structured incorrectly identifies an email address as a URL within the extracted entities. This can be observed in the following example output:
StructuredAnalysis(entity_mapping={'name': …
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I have found when doing feature extraction on the same images that the tf version will all have a greater number of feature points than the pytorch version, the weights I use are sp_v6 and superpoint_…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hello!
I have seen that you have achieved the CLOCs train on your own 3D & 2D detectors.
Could you please have a talk with me about how to switch the code for us own proposals?
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## 🚀 Feature
Add NMS version which takes confidence threshold and prunes out low confidence scores from the entire prediction.
## Motivation
Motivation is that if Pytorch NMS requires only boxes …
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Match score range is really three ranges, one for each of civic, street, and locality match precision as follows:
Match confidence|CivicNumber matchPrecision|Street matchPrecision|Locality matchPre…
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### Feature request
Support output_scores in XLA TF generate.
### Motivation
The scores would be critical and widely used in generation models for downstream applications. It is a confidence …
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Hi, great work. I've managed to succefully run a prediction and obtained the following confidence scores:
model_2_ptm_ft_plddt
model_2_ptm_ft_pae
model_2_ptm_ft_plddt_0
model_2_ptm_ft_pae_0_0
…
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Hello, in 'nq_eval.py' it is mentioned that "Each prediction should be provided with a long answer score, and a short answers score".
May I clarify what these scores refer to? Are these scores supp…
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Hello!
Many than for great package!
I wanted to ask how can extract vcf with info score from hla prediction output?
cl