Person_reID_baseline_pytorch
VToonify
Person_reID_baseline_pytorch | VToonify | |
---|---|---|
2 | 16 | |
3,960 | 3,468 | |
- | - | |
8.1 | 1.0 | |
24 days ago | 7 months ago | |
Python | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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Person_reID_baseline_pytorch
- FLiP Stack Weekly for 21 Jan 2023
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Computer Vision for goods recognition
And there are two good libraries with training pipelines: https://github.com/layumi/Person_reID_baseline_pytorch https://github.com/OML-Team/open-metric-learning
VToonify
- FLiP Stack Weekly for 21 Jan 2023
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AI generated video: Best framework by Theo
this is a VToonify you can chek this here https://github.com/williamyang1991/VToonify
- FLiP Stack Weekly for 15-Jan-2023
- VToonify: Controllable high-resolution portrait video style transfer
- VToonify: Controllable High-Resolution Portrait Video Style Transfer
- VToonify - Controllable High-Resolution Portrait Video Style Transfer
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Hold on to your papers!
Here is the software repository
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Soup from a stone. Creating a Dreambooth model with just 1 image.
Vtoonify is a machine learning model (GAN) created that unlike stable diffusion always reproduces the same output given the same input. For example my character Midas went in looking like the right, can came out looking like the left.
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