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For some tasks it is better to view 4, 9, or even more images on one screen and use mouse clicks to choose relevant images (e.g. classification face/non-face).
The feature can be used to review int…
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Thought I'd preface this by saying that I'm very happy with the way face recognition currently works - it's very efficient and quite accurate. I've also been digging through the code a bit and wonder …
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Hello,
I have a couple of questions regarding the 75.8% synchronization accuracy reported in https://ieeexplore.ieee.org/abstract/document/9067055/
Perfect match Evaluation protocol: The task i…
ak-7 updated
8 months ago
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- [X] I have searched the existing issues
## Feature Description
### HeartBeat Classification using ECG
This project focuses on developing a system for classifying heartbeats using Electr…
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Provide the following data (in the priority listed):
- [ ] topology structure (see slack document)
- [ ] entity index, i.e. which entity (vtx, edge, face, region) does a node lie on
- [ ] node index, …
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As a user I would like to use local libraries to generate embedding. On their website `rust-bert` is introduced as:
Rust-native state-of-the-art Natural Language Processing models and pipelines. Po…
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Please add a feature to infer and train OpenAI clip ( Clip is in Hugging Face) , there is a down stream usage for zero shot image classification.
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You should be able to run a face detection + alignment first to limit the input variation for the classification model.
I'd suggest retinaface or similar.
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Hi ,
I extracted the embedding of my own dataset and feed it to a knn classifier, using the opencv as described in the tmp scripts im doing recognition on a video file with 20FPS and its frame res…
knvpk updated
7 years ago