56 lines
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1.5 KiB
Markdown
56 lines
No EOL
1.5 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 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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## 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: Some desktop related features do not work under Linux. I have tested them on Fedora 39.
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Contributions are welcome :-)
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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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gradle build
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```
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To run:
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```bash
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gradle run
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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 created by Dewi Sari - Flaticon</a> |