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ersca

Modeling and Simulating the Evolution of Rural Settlements Using Probability-based Cellular Automata

esa_sentinel

ESA Sentinel Search & Download API

esda

statistics and classes for exploratory spatial data analysis

esdm

A user-friendly spatial tool with a web-based interface that allows users to import SDM layers and create and explore ensemble predictions to inform management and explore spatial uncertainties

espa-cloud-masking

ESPA modules for cloud masking

espa-product-formatter

ESPA module for product formatting

espa-surface-reflectance

et4283-image-segmentation-team12

eval_kitti

Tools to evaluate object detection results using the KITTI dataset.

evaluating-random-forest-and-decision-tree-classifiers-for-prediction-task-using-scikit-learn

Task was to implement classification model that predict probability that a person X will buy a product Y. Dataset contains various features of X's past activities and activities of people who buy Y. Random forest and decision tree classifier model is trained for given training dataset. model is evaluated using various metrics like overall_accuracy, confusion matrix, recall_accuracy. Depending on the score right model is chosen for prediction task.

evaluation

example-elki-project

ELKI Example Project

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

excel2latex

The Excel add-in for creating LaTeX tables

experimental

explorestats

export_fig

A MATLAB toolbox for exporting publication quality figures

extendedmorphologicalprofiles

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

extension-phtree

ELKI ph-tree add-on

extractors-hyperspectral

Scripts and code relevant to the SWIR and VNIR cameras.

extractotron

Placeholder for some ideas about OpenStreetMap extracts

facade-urban-analysis

Building Facade-based City Classification from Aerial-View Images

face-hallucination-for-video-surveillance-graduation-project-

a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. Face hallucination normally uses twomodels: a global parametricmodel which synthesizes the global face shapes from eigenfaces, and a local parametric model which enhances the local high frequency details.We follow a similar process to develop a robust face hallucination algorithm. First, we obtain eigenfaces from a number of low resolution face images segmented from a video sequence using a face tracking algorithm. Then we compute the difference between an interpolated low-resolution face and a mean face, and use this difference as the query to retrieve an approximate sparse eigenface representation. The eigenfaces are combined using the coefficients obtained from the sparse representation and added into the interpolated low-resolution face. In this way, the global shape of the interpolated low resolution face can be successfully enhanced. Second, we improve the example-based super-resolution method for local high frequency information enhancement. Our proposed algorithm uses the Approximate Nearest Neighbors (ANN) search method to find a number of nearest neighbors for a stack of queries, instead of finding the exact match for each low frequency patch. Median filtering is used to remove the noise from the nearest neighbors in order to enhance the signal. Our proposed algorithm uses a sparse representation and the ANN method to enhance both global face shape and local high frequency information while greatly improving the processing speed, as confirmed empirically.

face-landmarks-detection-benchmark

Face landmarks(fiducial points) detection benchmark

faceradar

FaceRadar is an Autopsy ingest module that uses OpenCV to detect faces in image files.

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

factorie

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

falsecolorshadowdetection

Detection of Shadows From Multispectral Satellite Images

fanova

Functional ANOVA

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right: