AugLy AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate the robustness gaps of your model! We designed AugLy […]

Polyfoto Create image mosaics with python. Showcase “Before and After Science” by Brian Eno “Scott 3” by Scott Walker Installation Clone this repository to your local machine with git, then install withPython. git clone https://github.com/shanedrabing/polyfoto.git cd polyfoto python setup.py install Getting Started Run the program with Python. python polyfoto.py -f input.png -d sources -o output.png -n 16 Required arguments -f : Input file name. This is the target to recreate. -d : Input folder name. Contains images used to recreate […]

FaceFinder There is lots of face recognition software out there on github, but most of it focuses on speed over accuracy and uses models such as ‘hog’. However, FaceFinder is one of the most powerful face recognition programs which uses a very large CNN to make accurate predictions. Here’s why: Several modern technologies make use of face recognition and its importance in the world is constantly increasing. You shouldn’t have to train a full neural net of your own every […]

seaborn-image Seaborn-image is a Python image visualization library based on matplotlib and provides a high-level API to draw attractive and informative images quickly and effectively. It is heavily inspired by seaborn, a high-level visualization library for drawing attractive statistical graphics in Python. Installation For latest release pip install seaborn-image For latest commit pip install git+https://github.com/SarthakJariwala/seaborn-image GitHub https://github.com/SarthakJariwala/seaborn-image    

nnDetection Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of high clinical relevance because diagnostic decisions depend on rating of objects rather than e.g. pixels. For this task, the cumbersome and iterative process of method configuration constitutes a major research bottleneck. Recently, nnU-Net has tackled this challenge for the task of image segmentation with great success. Following nnU-Net’s agenda, in this work we systematize and automate the configuration process for medical […]

AnimeGAN PyTorch implementation of DCGAN introduced in the paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, Alec Radford, Luke Metz, Soumith Chintala. Generative Adversarial Networks (GANs) are one of the most popular (and coolest)Machine Learning algorithms developed in recent times. They belong to a set of algorithms called generative models, whichare widely used for unupervised learning tasks which aim to learn the uderlying structure of the given data. As the namesuggests GANs allow you to generate new unseen […]

Colour – HDRI A Python package implementing various HDRI / Radiance image processing algorithms. 1 Features The following features are available: HDRI / Radiance Image Generation Debevec (1997) Camera Response Function Computation Grossberg (2003) Histogram Based Image Sampling Variance Minimization Light Probe Sampling Global Tonemapping Operators Adobe DNG SDK Colour Processing Absolute Luminance Calibration Digital Still Camera (DSC) Exposure Model Raw Processing Helpers 2 Installation Because of their size, the resources dependencies needed to run the various examples and unit […]

Colour – Demosaicing A Python package implementing various CFA (Colour Filter Array) demosaicing algorithms and related utilities. 1 Features The following CFA (Colour Filter Array) demosaicing algorithms are implemented: Bilinear Malvar (2004) DDFAPD – Menon (2007) 2 Installation Because of their size, the resources dependencies needed to run the various examples and unit tests are not provided within the Pypi package. They are separately available as Git Submodules when cloning the repository. 2.1 Primary Dependencies Colour – Demosaicing requires various […]

Portrait Photo Retouching with PPR10K PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level ConsistencyJie Liang*, Hui Zeng*, Miaomiao Cui, Xuansong Xie and Lei Zhang. The proposed Portrait Photo Retouching dataset (PPR10K) is a large-scale and diverse dataset that contains: 11,161 high-quality raw portrait photos (resolutions from 4K to 8K) in 1,681 groups; 3 versions of manual retouched targets of all photos given by 3 expert retouchers; full resolution human-region masks of all photos. Samples Two example […]

Among Us Dumpy Gif Maker A tool to make dumpy among us GIFS. Requirements: Java Runtime Environment 15 or newer ImageMagick Usage: Make sure to download the jar! Basic usage: Click and open the jar, select the file, and a file called “dumpy.gif” will be made in the same folder as the jar. CLI usage: java -jar Among-Us-Dumpy-Gif-Maker.jar for defaults java -jar Among-Us-Dumpy-Gif-Maker.jar for choosing a line number. Default is 9. java -jar Among-Us-Dumpy-Gif-Maker.jar for choosing a line number AND […]