groupImg
labelme2coco
groupImg | labelme2coco | |
---|---|---|
2 | 1 | |
222 | 248 | |
- | - | |
4.9 | 3.8 | |
3 days ago | 17 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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groupImg
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Introduction to K-Means Clustering
If anyone is interested, I have two projects that uses k-means
https://github.com/victorqribeiro/groupImg
https://github.com/victorqribeiro/budget
Being one of the first ML algorithms that I learned, I spend some time finding use cases for it
If I'm not mistaken I've also used in to classify deforestation in an exercise
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Show HN: I made NIGHT.FM, a cyberpunk-inspired online radio
well, I took a class back in college with an Old School professor. He's the one who drove the class that way. I just enjoyed the process. But there are a lot of tutorials on the internet about writing your own NN. I think the first algorithm that I ever wrote regarding ML was k-means [1]. Start there and see where it takes you:
https://en.wikipedia.org/wiki/K-means_clustering
Look at this project I have used it:
https://github.com/victorqribeiro/groupImg
labelme2coco
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What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
What are some alternatives?
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
RobotEyes - Image comparison for Robot Framework
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
tslearn - The machine learning toolkit for time series analysis in Python
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
img2cmap - Create colormaps from images
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
hdbscan - A high performance implementation of HDBSCAN clustering.
autogluon - Fast and Accurate ML in 3 Lines of Code