86 lines
No EOL
2.1 KiB
Markdown
86 lines
No EOL
2.1 KiB
Markdown
#  Image Tagger
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Image Tagger is a simple software application for predicting an image's keywords using a deep learning model based on
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resnet.
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It allows photographers to automate the image tagging process. 📸
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---
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## Instructions
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1. Download a release from the release page.
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2. Unzip the release.
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3. Run `ImageTagger\image\bin\ImageTagger`.
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Photo credit: [https://unsplash.com/@ndcphoto](https://unsplash.com/@ndcphoto)
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Alternatively see [Flatpak](./flatpak/readme.md) installation instructions.
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## Development
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If you want to build the application yourself, you will need Java 17 JDK and the
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AI models available in the AIModels release.
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The release archive is in the [releases page](https://github.com/dnutiu/ImageTagger/releases).
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Note: On Linux desktop related features (opening images, folders) are handled
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via [xdg-open](https://linux.die.net/man/1/xdg-open).
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### Building and Running from source
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To build from source you will need Java 17 JDK and Gradle.
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Due to some GitHub limitations that do not allow me to upload large files, you'll need to download the AIModels
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zip file which contains the deep learning models and place them into the
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`ImageTagger/img-ai/src/main/resources/dev/nuculabs/imagetagger/ai/` path.
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To build the project run:
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```bash
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gradlew build
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```
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To run:
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```bash
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gradlew run
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```
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### Building the Flatpak
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To build the Flatpak run the following commands:
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```shell
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cd flatpak
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./build.sh
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```
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It will build the flatpak using the latest sources from this repo.
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### Building a package (Fedora Example)
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To build a package run
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```shell
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gradle jpackage <<< "--type rpm"
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```
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To install and run the application:
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```shell
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dnf install ./img-ui/build/jpackage/imagetagger-1.0-1.x86_64.rpm
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/opt/imagetagger/bin/ImageTagger
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```
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# Blog
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You can visit my tech blog at [https://blog.nuculabs.dev](https://blog.nuculabs.dev).
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# Credits
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- Icons: <a href="https://www.flaticon.com/free-icons/image-analysis" title="image analysis icons">Image analysis icons
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created by Dewi Sari - Flaticon</a>
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