Search Results for "code extract"

Artifact3-D offers a suite of functions for analysing 3D scans of archaeological artifacts. These functions are repeatable, objective, precise, and customizable. Functions are also available for the neat documentation of artifacts. Individual artifacts can be imported, analyzed and their documentation exported, or entire assemblages can be automatically analyzed. Please cite: Grosman L, et al. (2022) Artifact3-D: New software for accurate, objective and efficient 3D analysis and...

cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. ...

This package of MATLAB routines with accompanying GUI allows scientific users to measure the 3D location of single molecules when using the double-helix point spread function (DH-PSF) widefield microscope. Version 2 also includes code that facilitates combining localization data from two spectral channels using a locally-weighted quadratic 3D registration function Features - Double-Gaussian estimator is calibrated via an axial scan of bright immobile fluorescent emitters (e.g. beads) - DH localization is performed through template matching and subsequent double Gaussian fitting - Tiff stacks of SM images are analyzed using template matching followed by double-Gaussian fitting to extract estimates of the molecule positions - Two spectral channels are registered by generating a locally-weighted quadratic mapping function from control point pairs

This MATLAB tool / GUI allows you to process time series (digital repeat photography) of vegetation and extract a smoothed time series of the greenness of this vegetation across a growing season. The software allows you to select multiple regions of interest (save and load these) and output the resulting smoothed data series to text file for further processing and statistics. Compiled standalone versions of the MATLAB code will be provided soon.