Search Results for "batch image processor"

CycleGAN and pix2pix in PyTorch repository is a PyTorch implementation of two influential image-to-image translation frameworks: CycleGAN (for unpaired translation) and pix2pix (for paired translation). This repo gives developers and researchers a convenient, modern (PyTorch-based) platform to train and test these methods — supporting both paired datasets (input to output) and unpaired datasets (domain-to-domain) with minimal changes. The code supports standard training and inference...

...These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations.

Robean is a standalone freeware application for automated rodent neurobehavioural analysis. The software provides an intuitive graphical interface for analysing Morris Water Maze, Elevated Plus Maze, and Open Field Test experiments from prerecorded videos or live camera feeds. Robean integrates arena definition, zone management, centroid tracking, trajectory visualization, occupancy heatmap generation, automated PDF reporting, and batch study summaries within a single desktop application...

Hosted at google code, for latest version please go to: https://code.google.com/p/ctqa-cp/ Automatic image quality analysis of computed tomography images of the CatPhan? phantom. CTQA is a software package to aid in quality assurance of image quality for CT scanners. The software currently only supports analysis of CT-images of the CatPhan600? phantom. Other phantoms may be supported upon request. The purpose of CTQA-cp is twofold: 1) To handle and analyze image sets consisting of a few thousand images that is commonly obtained from image quality assurance protocols on CT scanners. 2) Easily provide results that can be copied to your favorite word or spreadsheet processor, or be saved to disk.

Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and...

TaDaPro is a command-line utility to operate with numerical column tabulated data. It is intended for operations that are cumbersome to do by hand in a spreadsheet, and for transformations that have to be applied as a batch process on many files.