dnutiu/ImageTagger
dnutiu/ImageTagger
1
1
Fork 0
Code Issues Pull requests Projects Releases 2 Packages Wiki Activity Actions
Image Tagger is an application that predicts an image's tags using deep-learning. It is useful for photographers who want to improve their workflow by auto-tagging images. https://blog.nuculabs.dev
89 commits 3 branches 7 tags 5.6 MiB
Kotlin 94.7%
Java 3%
Shell 1.8%
CSS 0.5%
Find a file
Denis Nutiu c492ea59c4 reformat code
2024-05-03 13:02:24 +03:00
.github update FUNDING.yml 2024-04-28 12:20:19 +03:00
.idea implement img-core a core module 2024-04-27 15:33:37 +03:00
docs update application image 2024-04-13 21:43:48 +03:00
gradle/wrapper update gradle config 2024-03-30 11:43:31 +02:00
img-ai implement img-core a core module 2024-04-27 15:33:37 +03:00
img-core display an error when image fails to be analyzed 2024-04-27 23:50:33 +03:00
img-ui reformat code 2024-05-03 13:02:24 +03:00
.gitignore update gitignore 2024-04-13 16:18:46 +03:00
gradlew update gradle config 2024-03-30 11:43:31 +02:00
gradlew.bat update gradle config 2024-03-30 11:43:31 +02:00
LICENSE add license 2024-03-22 23:22:21 +02:00
readme.md Fix image opening and folder opening on Linux. 2024-04-28 12:13:40 +03:00
settings.gradle implement img-core a core module 2024-04-27 15:33:37 +03:00

readme.md

Image Tagger

Image Tagger is a simple software application for predicting an image's keywords using a deep learning model based on resnet.

It allows photographers to automate the image tagging process. 📸

Instructions

  1. Download a release from the release page.
  2. Unzip the release.
  3. Run ImageTagger\image\bin\ImageTagger.

./docs/application.png

Photo credit: https://unsplash.com/@ndcphoto

Development

If you want to build the application yourself, you will need Java 17 JDK and the AI models available in the AIModels release.

The release archive is in the releases page.

Note: On Linux desktop related features (opening images, folders) are handled via xdg-open.

Building and Running from source

To build from source you will need Java 17 JDK and Gradle.

Due to some GitHub limitations that do not allow me to upload large files, you'll need to download the AIModels zip file which contains the deep learning models and place them into the ImageTagger/img-ai/src/main/resources/dev/nuculabs/imagetagger/ai/ path.

To build the project run:

gradle build

To run:

gradle run

Blog

You can visit my tech blog at https://blog.nuculabs.dev.

Credits