Imagenius
Overview
Imagenius is a web-based application designed to automatically tag images based on their content. Built on advanced machine learning models, Imagenius provides fast, accurate, and comprehensive tagging solutions for your photo galleries.
Features
- Web-based GUI: Intuitive drag-and-drop interface for easy image uploads.
- Advanced Object Detection: Utilizes state-of-the-art machine learning models for accurate tagging.
- Modular Backend: Python-based backend, easily extendable for future models and features.
Quick Start
Setup
Clone the repository and navigate into the folder. Then install the dependencies.
git clone https://github.com/0xchrisw/imagenius.git
pip install -e .
imagenius
Usage
- Open your web browser and go to
http://localhost:3000. - Drag and drop an image onto the upload area or select an image via the file picker.
- View the automatically generated tags for the image.
Contributions
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
1 maintainer
Metadata
1 maintainer
Release files for imagenius 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| imagenius-0.0.2.tar.gz | 167.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imagenius-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 338.1 kB
Release files / imagenius-0.0.2.tar.gz
| Download URL | imagenius-0.0.2.tar.gz |
|---|---|
| Size | 167.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / imagenius-0.0.2-py3-none-any.whl
| Download URL | imagenius-0.0.2-py3-none-any.whl |
|---|---|
| Size | 170.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Security for imagenius 0.0.2
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