affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability" (by ducha-aiki)
PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/ (by ayoolaolafenwa)
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affnet | PixelLib | |
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1 | 3 | |
261 | 1,008 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
affnet
Posts with mentions or reviews of affnet.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Determine whether an image, from a given sequence of images, has changed considerably
Maybe you can try using an object detector, with the classes you are interested in and then processing the detections with another network to say if the objects are the same or not. Maybe you can try things like https://github.com/ducha-aiki/affnet
PixelLib
Posts with mentions or reviews of PixelLib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-29.
- YOLOv6: Redefine state-of-the-art for object detection
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To separate objects detected from a video using PixelLib
This is the code, found from the reference here.
- New Project In Computer Vision For Beginner