IkomiaApi
detrex
| IkomiaApi | detrex | |
|---|---|---|
| 7 | 4 | |
| 211 | 1,828 | |
| 1.9% | 1.8% | |
| 7.4 | 6.0 | |
| 10 days ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
IkomiaApi
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We re-launched Ikomia open source Computer Vision API: looking for feedback!
Doc: https://ikomia-dev.github.io/python-api-documentation/
- Show HN: An open source Computer Vision API to use algorithms from any framework
- Show HN: State-of-the-art Computer Vision with a few lines of code
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Ikomia, the Open Source Framework to build and deploy your Computer Vision solutions with a few lines of code
Link to repo: https://github.com/Ikomia-dev/IkomiaApi
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[P] Computer Vision made easy with a new Open Source Framework. Quick and simple.
More info on our GitHub.
- Show HN: Computer Vision made easy with a new open-source Framework
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A new open source tool for Computer Vision developers
Go to our repo GitHub and pip install ikomia
detrex
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[R] detrex 0.2.0 release: New baselines for DETR models
Add model analyze tools and visualization for COCO eval results and annotations in tools
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detrex: the open source toolbox for Transformer based object detection algorithms
- [DETR (ECCV'2020)](https://github.com/IDEA-Research/detrex/tree/main/projects/detr)
Here's the github links: https://github.com/IDEA-Research/detrex
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[R] detrex: the open source toolbox for Transformer based object detection algorithms
detrex has already implemented the following algorithms: - DETR (ECCV'2020) - Deformable-DETR (ICLR'2021 Oral) - Conditional-DETR (ICCV'2021) - DAB-DETR (ICLR'2022) - DAB-Deformable-DETR (ICLR'2022) - DN-DETR (CVPR'2022 Oral) - DN-Deformable-DETR (CVPR'2022 Oral) - DINO (ArXiv'2022) - Group-DETR (ArXiv' 2022)
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