https://github.com/adamlaszlo91/winterveil

WIP Add winter effect to images
https://github.com/adamlaszlo91/winterveil

image-manipulation midas opencv python

Last synced: 16 days ago
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WIP Add winter effect to images

• Host: GitHub
• URL: https://github.com/adamlaszlo91/winterveil
• Owner: adamlaszlo91
• License: unlicense
• Created: 2024-11-01T18:04:40.000Z (17 days ago)
• Default Branch: main
• Last Pushed: 2024-11-01T20:36:55.000Z (17 days ago)
• Last Synced: 2024-11-01T21:23:38.710Z (17 days ago)
• Topics: image-manipulation, midas, opencv, python
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# winterveil

Add winter effect to images

## Features

- Add fog

- WIP Add showfall

- WIP Add fallen snow

## Example

| Input                        | Output                       |

| ---------------------------- | ---------------------------- |

| ![makise](images/makise.jpg) | ![output](images/output.png) |

## Usage

### Install dependencies

```

python3 -m venv .venv

source .venv/bin/activate

pip install -r requirements.txt

```

### Winterize image

```

python3 main.py path_to_image

```

## Acknowledgments

This project uses the [MiDaS depth estimation model]([link-to-model-repository-or-paper](https://arxiv.org/abs/1907.01341)) by René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun, which is licensed under the MIT License. If you use this project, please also cite their original work:

```bibtex

@article{Ranftl2020,

	author    = {Ren\'{e} Ranftl and Katrin Lasinger and David Hafner and Konrad Schindler and Vladlen Koltun},

	title     = {Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer},

	journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},

	year      = {2020},

}

```

```bibtex

@article{Ranftl2021,

	author    = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},

	title     = {Vision Transformers for Dense Prediction},

	journal   = {ArXiv preprint},

	year      = {2021},

}

```