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Top 23 Python image-segmentation Projects
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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
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PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
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U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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signature_extractor
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
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APE
[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception (by shenyunhang)
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ISP-Guide
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
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smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
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Mask-RCNN-TF2.7.0-keras2.7.0
Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0
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Military-Vehicles-Image-Recognition
Fine-Tuning YOLOv5 to detect Military Vehicles in Aerial ARMA 3 Imagery
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SaaSHub
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Project mention: Recapping the AI, Machine Learning and Data Science Meetup — May 8, 2024 | dev.to | 2024-05-09In this brief walkthrough, I will illustrate how to leverage open-source FiftyOne and Anomalib to build deployment-ready anomaly detection models. First, we will load and visualize the MVTec AD dataset in the FiftyOne App. Next, we will use Albumentations to test out augmentation techniques. We will then train an anomaly detection model with Anomalib and evaluate the model with FiftyOne.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Project mention: I used the ChatGPT API to create a proof-of-concept AI driven video game. Using generative AI for the images and dialogue and GPT-3.5 for narrative and game control. More info in comments. | /r/ChatGPT | 2023-06-17I use a finetuned custom Stable Diffusion model in combination with a style embedding for the characters for image generation and U²-Net for background removal.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
https://github.com/shenyunhang/APE (super new, idk usability on this one yet)
Project mention: SLiMe: One-shot image segmentation using Stable Diffusion | news.ycombinator.com | 2023-10-18
Project mention: Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram) | news.ycombinator.com | 2023-12-18https://github.com/AlexandreSajus/Military-Vehicles-Image-Re...
There's a French defense company, Preligens, that actually does this currently
Python image-segmentation related posts
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Instance segmentation of small objects in grainy drone imagery
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Image-to-Caption Generator
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I used the ChatGPT API to create a proof-of-concept AI driven video game. Using generative AI for the images and dialogue and GPT-3.5 for narrative and game control. More info in comments.
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OMPR V0.6.8 update
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[Medical Segmentation] The all-in-one 3D medical image segmentation toolkit. From data annotation to model deployment, you are welcome to try it all!
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[N][R] SOTA Real-Time Semantic Segmentation Model Implemented by Python
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[P] New Features of Image Segmentation Project PaddleSeg (6k stars)
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source image-segmentation projects in Python? This list will help you:
Project | Stars | |
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1 | albumentations | 13,451 |
2 | segmentation_models.pytorch | 8,862 |
3 | PaddleSeg | 8,284 |
4 | U-2-Net | 8,134 |
5 | mmsegmentation | 7,436 |
6 | segmentation_models | 4,620 |
7 | catalyst | 3,229 |
8 | ailia-models | 1,840 |
9 | pytorch-toolbelt | 1,486 |
10 | PixelLib | 1,016 |
11 | cleanvision | 925 |
12 | caer | 749 |
13 | cloth-segmentation | 480 |
14 | signature_extractor | 426 |
15 | APE | 424 |
16 | ISP-Guide | 283 |
17 | detectree | 206 |
18 | smriprep | 124 |
19 | SLiMe | 106 |
20 | uformer-pytorch | 91 |
21 | FedCV | 62 |
22 | Mask-RCNN-TF2.7.0-keras2.7.0 | 43 |
23 | Military-Vehicles-Image-Recognition | 43 |
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