Smoothly-Blend-Image-Patches
Image patch smoother
A Python library that enables smooth image patch blending during segmentation using a U-Net neural network architecture.
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
0 stars
3 watching
1 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
 tobypde/frrn | A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 426 |
 abe404/root_painter | An open-source tool for training deep learning models for image analysis | 58 |
 nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,777 |
 armour/automatic-image-colorization | Automates colorization of images by processing and manipulating pixel data using machine learning algorithms | 169 |
 owenzlz/deepimageblending | A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss | 431 |
 collective/experimental.gracefulblobmissing | Monkey-patches Plone to handle missing BLOBs in development/staging environments | 2 |
 foamliu/deep-image-matting-pytorch | An implementation of deep image matting in PyTorch using a neural network architecture. | 817 |
 yanailab/knn-smoothing | A Python implementation of an algorithm for smoothing high-throughput single-cell RNA-Seq data using k-nearest neighbors. | 50 |
 aka-discover/ccmba_cvpr23 | Improving semantic segmentation robustness to motion blur using custom data augmentation techniques | 5 |
 mahmoudnafifi/wb_color_augmenter | A tool that generates synthetic images with realistic color casts to augment deep learning models' performance on image classification and segmentation tasks. | 167 |
 cedricguillemet/imogen | A tool for creating and manipulating images using a graph-based node editor with GPU acceleration | 761 |
 evanwy/carlasemseg | Automated image segmentation algorithm for autonomous driving research using the Carla dataset | 8 |
 emilwallner/coloring-greyscale-images | Developing a neural network-based colorization system for converting grayscale images to RGB colors | 1,036 |
 marcoforte/closed-form-matting | Provides an implementation of image matting and background/foreground reconstruction from images with scribbles or trimaps. | 437 |