Search Results for "ofn-extract-objects.py"
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Showing 10 open source projects for "ofn-extract-objects.py"
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MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB
Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score. -
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Artifact3-D
Artifact3-D: 3D Analysis and Documentation of Archaeological Artifacts
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... -
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Gait Analysis Graphical User Interface
Extracts gait parameters from 120 fps video of mouse walking
...First, a GUI displays videos of mice walking on a custom apparatus and enables the user to manually detect paw position. This data is saved. Additional functions take this spatiotemporal information and extract commonly used gait parameters, which are then exported to a MATLAB structure to be used for scientific analysis. -
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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. ...
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LIPRAS, Line-Profile Analysis Software
Peak fitting GUI for diffraction data
LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L.... -
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DSeg software
A MATLAB program to segment filamentous bacteria and hyphae structures
...The software is implemented in MATLAB for segmenting and tracking of cell contours from various microscopy systems. Video instructions: https://www.youtube.com/embed/qMbM0shkk7A?rel Lastest updates: 20190930 DSeg: A dynamic segmentation program to extract backbone patterns for filamentous bacteria and hyphae structures,(2018). Hanqing Zhang,Niklas Soderholm, Linda Sandblad, Krister Wiklund, Magnus Andersson* -
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easy-dhpsf
GUI for fitting 3D single-molecule images using the double-helix PSF
...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 -
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Ymap - Yeast Mapping Analysis Pipeline
Pipeline for large-scale genome changes analysis of genome datasets.
The active use repository has migrated over to: https://github.com/darrenabbey/ymap The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github. -------- Eukaryotic pathogens have complicated and dynamic genomes. To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. ... -
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SBEToolbox
Systems Biology and Evolution Toolbox (SBEToolbox).
SBEToolbox (Systems Biology and Evolution Toolbox) is being developed in MATLAB as a menu-driven UI software to determine various statistics of the biological network. Some of its features include (but not limited to) algorithms to create random networks (small-world, ring lattice etc..), deduce clusters in the network (MCL, mCode, clusterOne) etc... ******************************************************************************************************************************** PROJECT... -
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PhenoProcess
A MATLAB tool to process canopy digital repeat photography
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.
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