Face_extraction
Python implementation of face extraction using haar-cascade classifier for frontal faces.
Extract facedet folder its the latest work.
Requirements
The requirements.txt file contains following:
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:
- PIP installation
- ZIP extraction
# PIP Installation
Install latest version(2.0) 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.{outside **facedet** root folder}
`>>> import facedet`
`>>> from facedet import faceext`
`>>> faceext.extract()`
By default this package reads the images (`data2.jpg`) that was already given.
# ZIP Installation
After extracting zip from the repository. Type this command **in** file location. {inside **facedet** sub-folder}
`[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
- This application is applied to Low-resoluted images. Throws an exception if high-resolution given.
- Loops and Conditional statements are avoided and replaced with numpy arrays to reduce Time Complexity.
License
This project is licensed under the MIT license.
