Showing 21-32 of 32 projects
Advanced toolkit for medical image registration, segmentation, and processing, with a focus on neuroimaging.
Code for the Lovรกsz-Softmax loss, a loss function for image segmentation using neural networks.
A Python library for using diffusion models to segment and reconstruct medical images.
A curated list of awesome robotics libraries and tools for developers interested in robotics and automation.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
Automatically find issues in image datasets and practice data-centric computer vision.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A PyTorch implementation of the TernausNet model for image segmentation, pre-trained on the Kaggle Carvana dataset.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
A GUI-based smart Sudoku solver that can extract and solve Sudoku puzzles from photos using computer vision and machine learning.
A PyTorch implementation of the UNet++ (Nested U-Net) architecture for image segmentation tasks.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
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