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Top 21 Python image-segmentation Projects
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/2078-2489/11/2/125Project mention: Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features. | reddit.com/r/rust | 2023-05-06
Is something planned to support data augmentations? Something like https://albumentations.ai/
Segmentation models with pretrained backbones. PyTorch.Project mention: [D] Improvements/alternatives to U-net for medical images segmentation? | reddit.com/r/MachineLearning | 2023-03-29
SMP offers a wide variety of segmentation models with the option to use pre-trained weights.
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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.Project mention: [Medical Segmentation] The all-in-one 3D medical image segmentation toolkit. From data annotation to model deployment, you are welcome to try it all！ | reddit.com/r/ArtificialInteligence | 2022-12-19
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."Project mention: [Help] Meta's segment anything - How can I make smooth border ? | reddit.com/r/computervision | 2023-05-14
Hi :) I am app/web developer and new to AI. Currently, I am making photo app which can segment all the things in image. I've used meta's segment anything. I've got all the masks but the boundary of masks are very bumpy. So I've tried rembg which uses u2net(salient object detection) and pymatting together. Do I have to use pymatting separately after getting segment from segment anything to improve boundary quality of my segmented output ?
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.Project mention: segmentation-models No module Error | reddit.com/r/computervision | 2022-10-04
I used segmentation-models (https://github.com/qubvel/segmentation_models) to create a deeplabv3+ model. I havent used it in the last 2 months and now i comeback to the same code and cant use it. Getting ModuleNotFoundError: No module named 'segmentation_models_pytorch.deeplabv3'
The collection of pre-trained, state-of-the-art AI models for ailia SDKProject mention: 10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI! | reddit.com/r/VRchat | 2023-02-20
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
PyTorch extensions for fast R&D prototyping and Kaggle farmingProject mention: Surrender cards are being distributed to Russianforces: 'Your ticket to a peaceful life. Show this card to a Ukrainian soldier - it will save your life and help you get back home' On the back: a telegram chat & phone number they can contact 'to receive detailed support'. | reddit.com/r/ukraine | 2022-09-12
For what it's worth, the QR code points to a URI shortener domain "qrfy.mobi" which redirects to a cloudflare hosted page that contains telegram information relating to "nikolay_bodenko" and "chaos_admin" ("For advertising and cooperation"? Whatever that is supposed to mean), which led me to "rf200_now" and "rf200_nooow" (looks to get spammed around a bit), which is purportedly supportive of Ukraine.
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Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/Project mention: YOLOv6: Redefine state-of-the-art for object detection | news.ycombinator.com | 2022-06-29
High-performance Vision library in Python. Scale your research, not boilerplate.
Automatically find issues in image datasets and practice data-centric computer vision.Project mention: [D] Is accurately estimating image quality even possible? | reddit.com/r/MachineLearning | 2023-04-22
Github: https://github.com/cleanlab/cleanvision Blogpost: https://cleanlab.ai/blog/cleanvision/
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.Project mention: im trying to automate my simpleton job | reddit.com/r/learnpython | 2023-05-03
It's active field of research. e.g. here https://github.com/amaljoseph/Signature-Verification_System_using_YOLOv5-and-CycleGAN or here https://github.com/ahmetozlu/signature_extractor
This repo contains code and a pre-trained model for clothes segmentation.Project mention: Just a reminder that there is a new 'remove background' extension for a1111 | reddit.com/r/StableDiffusion | 2023-03-15
u2net_cloth_seg (download, source): A pre-trained model for Cloths Parsing from human portrait. Here clothes are parsed into 3 category: Upper body, Lower body and Full body.
Tree detection from aerial imagery in Python
Image Signal Processing (ISP) Guide
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)Project mention: [D][R] Image pre-processing for quantitative analysis | reddit.com/r/MachineLearning | 2022-09-30
I don't know pyradiomics, it looks interesting. From personal experience I can also recommend the library nilearn (developed by scikit-learn core people) and nipype (and impressive interface to all neuroimaging toolboxes out there. Also, I forgot to mention sMRIprep which is fMRIprpe's little sibling but exclusively for anatomical/structural data. Plus, there's MRIQC, that can extract multiple quality parameters (might provide you additional informative features).
Implementation of Uformer, Attention-based Unet, in Pytorch
FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks
Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0
A tensorflow model for segmentation of fashion items out of multiple product images
Brain Tumor Segmentation And Classification using artificial intelligence
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Python image-segmentation related posts
OMPR V0.6.8 update
1 project | reddit.com/r/OMPR_PCVR | 20 Feb 2023
[Medical Segmentation] The all-in-one 3D medical image segmentation toolkit. From data annotation to model deployment, you are welcome to try it all！
1 project | reddit.com/r/ArtificialInteligence | 19 Dec 2022
[N][R] SOTA Real-Time Semantic Segmentation Model Implemented by Python
1 project | reddit.com/r/Python | 12 Dec 2022
[P] New Features of Image Segmentation Project PaddleSeg (6k stars)
1 project | reddit.com/r/artificial | 1 Dec 2022
[Trending Summary] neurips @ 2022-11-28 09:55
1 project | reddit.com/r/SummaryLab | 28 Nov 2022
[P] Awesome Interactive Segmentation Improves 10X Segmentation Annotation Efficiency (6k star)
1 project | reddit.com/r/deeplearning | 28 Nov 2022
Open-source SOTA Solution for Portrait and Human Segmentation (5.7k stars)
1 project | reddit.com/r/programming | 17 Nov 2022
A note from our sponsor - Sonar
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What are some of the best open-source image-segmentation projects in Python? This list will help you: