# HyperRez: Sharpen Blurry Memories
Enhance and upscale your images effortlessly with HyperRez, a Python library crafted by Rauhan Ahmed Siddiqui. Leveraging the power of GFPGAN and RealESRGAN, state-of-the-art Generative Adversarial Networks, this library provides advanced image enhancement capabilities. Real-ESRGAN focuses on upscaling backgrounds, while GFPGAN excels in refining the faces of human subjects.
## Features
- **Dual Network Integration:** Combines Real-ESRGAN and GFPGAN for comprehensive image enhancement.
- **Gradio Interface:** Seamlessly deployed into production using Gradio Interface for an interactive and user-friendly experience.
- **GPU Acceleration:** Optimized for GPU processing, ensuring fast and efficient image enhancement (Note: Performance may be suboptimal on CPUs).
- **PyPI Integration:** Available on PyPI as the "HyperRez" library for easy installation and use.
## Screenshots
## Installation
```bash
pip install HyperRez
```
## Usage
```python
from HyperRez import ImageUpscaler
# Initialise the upscaler
upscaler = ImageUpscaler()
# Launch the Gradio Interface
upscaler.launchInterface()
```
## Authors
[Rauhan Ahmed Siddiqui](https://linkedin.com/in/rauhan-ahmed/)
## License
[MIT](https://choosealicense.com/licenses/mit/)
Raw data
{
"_id": null,
"home_page": "https://github.com/RauhanAhmed/HyperRez",
"name": "HyperRez",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "computer vision, pytorch, image restoration, super-resolution, esrgan, real-esrgan, gfpgan, gradio, image enhancer, image quality enhancement, image upscaler, image quality upscaler",
"author": "Rauhan Ahmed Siddiqui",
"author_email": "rauhaan.siddiqui@gamil.com",
"download_url": "https://files.pythonhosted.org/packages/60/65/10cb9b9fae7c508b31bb1814630220563566f75e25e3211bd93332650804/HyperRez-2.0.tar.gz",
"platform": null,
"description": "\n# HyperRez: Sharpen Blurry Memories\n\n\nEnhance and upscale your images effortlessly with HyperRez, a Python library crafted by Rauhan Ahmed Siddiqui. Leveraging the power of GFPGAN and RealESRGAN, state-of-the-art Generative Adversarial Networks, this library provides advanced image enhancement capabilities. Real-ESRGAN focuses on upscaling backgrounds, while GFPGAN excels in refining the faces of human subjects.\n\n\n## Features\n\n- **Dual Network Integration:** Combines Real-ESRGAN and GFPGAN for comprehensive image enhancement.\n- **Gradio Interface:** Seamlessly deployed into production using Gradio Interface for an interactive and user-friendly experience.\n- **GPU Acceleration:** Optimized for GPU processing, ensuring fast and efficient image enhancement (Note: Performance may be suboptimal on CPUs).\n- **PyPI Integration:** Available on PyPI as the \"HyperRez\" library for easy installation and use.\n\n\n## Screenshots\n\n\n\n\n\n\n\n## Installation\n```bash\n pip install HyperRez\n```\n \n## Usage\n\n```python\nfrom HyperRez import ImageUpscaler\n\n# Initialise the upscaler\nupscaler = ImageUpscaler()\n\n# Launch the Gradio Interface\nupscaler.launchInterface()\n```\n\n\n## Authors\n\n[Rauhan Ahmed Siddiqui](https://linkedin.com/in/rauhan-ahmed/)\n\n\n## License\n\n[MIT](https://choosealicense.com/licenses/mit/)\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Sharpen Blurry Memories: Supercharge Your Images with HyperRez",
"version": "2.0",
"project_urls": {
"Homepage": "https://github.com/RauhanAhmed/HyperRez"
},
"split_keywords": [
"computer vision",
" pytorch",
" image restoration",
" super-resolution",
" esrgan",
" real-esrgan",
" gfpgan",
" gradio",
" image enhancer",
" image quality enhancement",
" image upscaler",
" image quality upscaler"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "369672f645f4f69c4c09b43e201a473b7344f99caabfa1d6a2fe8f357276b1eb",
"md5": "fc3a1ee099b3bcbf5314ef79ed5cac39",
"sha256": "c9c563b35a7a16dfe3e051893db51ea3311ac749461a6446a956ceaa4bdd5090"
},
"downloads": -1,
"filename": "HyperRez-2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "fc3a1ee099b3bcbf5314ef79ed5cac39",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 6387,
"upload_time": "2024-04-20T11:41:25",
"upload_time_iso_8601": "2024-04-20T11:41:25.062311Z",
"url": "https://files.pythonhosted.org/packages/36/96/72f645f4f69c4c09b43e201a473b7344f99caabfa1d6a2fe8f357276b1eb/HyperRez-2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "606510cb9b9fae7c508b31bb1814630220563566f75e25e3211bd93332650804",
"md5": "2234be4fd9139498f472892b0d685545",
"sha256": "3cab991de10e6448211714e64bef2b3641f26bad9672704d043b4a04450fec8f"
},
"downloads": -1,
"filename": "HyperRez-2.0.tar.gz",
"has_sig": false,
"md5_digest": "2234be4fd9139498f472892b0d685545",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 6454,
"upload_time": "2024-04-20T11:41:26",
"upload_time_iso_8601": "2024-04-20T11:41:26.918344Z",
"url": "https://files.pythonhosted.org/packages/60/65/10cb9b9fae7c508b31bb1814630220563566f75e25e3211bd93332650804/HyperRez-2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-20 11:41:26",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "RauhanAhmed",
"github_project": "HyperRez",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "basicsr",
"specs": [
[
">=",
"1.4.2"
]
]
},
{
"name": "facexlib",
"specs": [
[
">=",
"0.2.5"
]
]
},
{
"name": "realesrgan",
"specs": []
},
{
"name": "gradio",
"specs": []
},
{
"name": "gfpgan",
"specs": [
[
">=",
"1.3.5"
]
]
},
{
"name": "numpy",
"specs": []
},
{
"name": "opencv-python",
"specs": []
},
{
"name": "Pillow",
"specs": []
},
{
"name": "torch",
"specs": [
[
">=",
"1.7"
]
]
},
{
"name": "torchvision",
"specs": [
[
"==",
"0.16.2"
]
]
},
{
"name": "tqdm",
"specs": []
}
],
"lcname": "hyperrez"
}
JSON
