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https://github.com/smaranjitghose/artcv

Randomly Exploring Computer Vision techniques to create eye catching art out of plain boring images!
https://github.com/smaranjitghose/artcv

art deep-learning dwoc2020 hacktoberfest image-processing jwoc opencv python slop slop-20 swoc2021

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Randomly Exploring Computer Vision techniques to create eye catching art out of plain boring images!

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README

        

ART CV🎨


Do you believe that you have a hidden creative artist 🤩 within yourself but never got the opportunity to let it out?

Do you love playing around with pictures👩‍🔬?

Want to make an eye-catching pieces of art of for a website!
Don’t have time to learn Adobe XD or Pro editor!
But still, want to get things done?

Perhaps, Python🐍 can help you out to apply those mesmerizing filters by applying some basic knowledge of image processing!

Demo

| Work Done | Original Image** | Output Image |
|:----------------------------:|:-----------------------------:|:-------------------------------------:|
| Oil Painting || |
| Water Coloring |||
|Pencil Sketch(Black and White)|| |
| Pencil Sketch(Colored) || |
| Low Poly || |
| Sepia Effect || |
| Pointillism || |
| Stippling || |
| Mosaic Art || |
| TSP Art || |
| Cartoon Effect || |
| Comic Cartoon Effect |||
| Anime Vintage Effect |||
| Anime Effect || |
|Emboss Effect(Black and White)|||
| Emboss Effect(Colored) |||
| Glitch Art |||
| Motion Blur(Vertical) || |
| Motion Blur (Horizontal) || |
| Motion Blur (Diagonal) || |
| Color Division Effect(K=3) |||
| Color Division Effect(K=6) |||
| Sobel Edge detection || |
| Negative Roll Effect || |

** Obtained from [Unsplash](https://unsplash.com/photos/Ab18eGc1hhE)

** Mosaic Images Obtained from [Google Images](https://www.google.com/search?q=colorful+images+jpg&rlz=1C1SQJL_enIN878IN878&sxsrf=ALeKk01p138QfFdbDWis8bPmUTSx02oCSg:1601008796205&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjiwtHEvoPsAhW59XMBHYqrAL8Q_AUoAXoECAwQAw)

Usage


Convinced..huh? 😉 and want this spell for yourself?

Here you go:

- Clone or Download this repository ⏬
- Open the Terminal 🐱‍💻
- Move inside 👉 the repo
```cd ArtCV```
- Put your image inside the repo or get its path
- Now make sure you have all the dependencies🧱
```pip install -r requirements.txt```
- Now, the climax you have been waiting for!😎. Run any of the scripts using Terminal
```python name_of_effect.py -i ```
- Abracadabra ⚡

**I assume you have python installed on your system and set to path.**

License 📜


[MIT License](https://github.com/smaranjitghose/ArtCV/blob/ArtCV/LICENSE)