Metadata-Version: 2.1
Name: facedet
Version: 2.0
Summary: Face extraction system
Home-page: https://github.com/Batserine/Face_extraction
Author: Balakrishna Kommanaboina
Author-email: balu636216@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

## Face_extraction

Python implementation of face extraction using haar-cascade classifier for frontal faces.

### Requirements
The requirements.txt file contains following:
```markdown
1. numpy
2. opencv-python
3. opencv-utils

`[sudo] pip install -r requirements.txt`
```

```
Download the project. Unzip this zip folder.
```

### Installation

You can install this package in two ways:
1. PIP installation
2. ZIP extraction

```markdown
# PIP Installation

Install latest version(1.0) from the [source](https://pypi.org/project/facedet/).
              **or**
`[sudo] pip install facedet`

Then type `python3` **outside** folders' location in terminal. And type these to get output.
`>>> import facedet`
`>>> from facedet import faceext`
`>>> faceext.extract()`

By default this package reads the images (`data2.jpg`) that was already given.

```
```markdown
# ZIP Installation

After extracting zip from the repository. Type this command  **in** file location.
`[sudo] python3 faceext.py <path/to/image>` or you can select the images from data folder.

This way you can check for different images.

```
### Remarks
1. This application is applied to Low-resoluted images. Throws an exception if high-resolution given.
2. Loops and Conditional statements are avoided and replaced with numpy arrays to reduce Time Complexity.

### License
This project is licensed under the MIT license.



