https://github.com/bbuchsbaum/imfeatures

image feature representations from neural network models
https://github.com/bbuchsbaum/imfeatures

Last synced: 5 months ago
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image feature representations from neural network models

• Host: GitHub
• URL: https://github.com/bbuchsbaum/imfeatures
• Owner: bbuchsbaum
• Created: 2020-10-20T20:03:51.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2025-08-21T15:48:01.000Z (6 months ago)
• Last Synced: 2025-08-21T16:54:22.535Z (6 months ago)
• Language: R
• Size: 7.56 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

          
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# imfeatures

[![R-CMD-check](https://github.com/bbuchsbaum/imfeatures/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/bbuchsbaum/imfeatures/actions/workflows/R-CMD-check.yaml)

[![Codecov coverage](https://codecov.io/gh/bbuchsbaum/imfeatures/branch/main/graph/badge.svg)](https://app.codecov.io/gh/bbuchsbaum/imfeatures)

The goal of imfeatures is to ...

## Get started

Install the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("bbuchsbaum/imfeatures")

```

## Cookbook

This is a basic example which shows you how to solve a common problem:

```{r example}

library(imfeatures)

## basic example code

im1 = "testdata/1_A_1.jpeg"

im2 = "testdata/1_B_1.jpeg"

im_feature_sim(c(im1,im2), layers=c(1,2,3))

```