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https://github.com/aianytime/picozi

Picozi is an AI-enabled application that uses Computer Vision and Deep Learning to compute images and perform several processing tasks automatically.
https://github.com/aianytime/picozi

computer-vision opencv python streamlit streamlit-webapp

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Picozi is an AI-enabled application that uses Computer Vision and Deep Learning to compute images and perform several processing tasks automatically.

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README

          

# Welcome to Picozi :smiley:

## _A Simple Yet Powerful Image Processing App_ :star:

#### Picozi is an AI-enabled application that uses Computer Vision and Deep Learning to compute images and perform several processing tasks automatically.

The Project is still under development.

Live on Heroku: http://picozi.herokuapp.com/

## Features :point_down:

- **Upload an Image and apply simple filters to enhance the image.**

- **Perform basic face components detection like Face, Smile, and Eye.**

- **Simple image processing options to perform basics tasks.**

- **Image Segmentation to segment multiple objects inside an image.**

- **Color Quantization with different K-values.**

- **More features coming soon.....................**

## Tech Stack

**Picozi** uses following :point_down:

- [Python](https://www.python.org/) 🐍 - _De facto_ Language!!
- [Open CV](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html) - Open-Source library for computer vision.
- [Pixel Lib](https://pypi.org/project/pixellib/) - Object segmentation to perform excellent foreground and background separation.
- [Scikit-Learn](https://scikit-learn.org/stable/) - Machine Learning in Python.
- Streamlit - Streamlit is LOVE :hearts:
- [Docker](https://www.docker.com/)- Docker container for deployment.
-

## How to Run?

Picozi is built using [Streamlit](https://www.streamlit.io/) .

Install the required packages from requirements.txt

```sh
pip3 install requirements.txt
```
You can use Docker Image from the docker hub and run:
Link of Docker Image : **https://hub.docker.com/repository/docker/picozi/picoziai**

## Development

**Want to contribute?** Great! Please mail at **sonu1000raw@gmail.com**
Connect on Slack if you want to be the part of this project: https://picozi.slack.com/archives/C01NY0HAJPP

## License

**Apache License 2.0**