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https://github.com/pezhvak98/privacy-face-blur
a program developed with streamlit to blur people's faces in images automatically and manually
https://github.com/pezhvak98/privacy-face-blur
dlib face-blurring face-detection opencv-python streamlit streamlit-application
Last synced: 23 days ago
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a program developed with streamlit to blur people's faces in images automatically and manually
- Host: GitHub
- URL: https://github.com/pezhvak98/privacy-face-blur
- Owner: pezhvak98
- Created: 2024-12-01T20:50:26.000Z (27 days ago)
- Default Branch: main
- Last Pushed: 2024-12-01T22:24:44.000Z (27 days ago)
- Last Synced: 2024-12-01T22:32:09.465Z (27 days ago)
- Topics: dlib, face-blurring, face-detection, opencv-python, streamlit, streamlit-application
- Language: Python
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Privacy Face Blur
**Privacy Face Blur** is a user-friendly application designed to automatically and manually blur faces in images, ensuring privacy by anonymizing faces in photos.
## Online Demo
You can use the online [demo](https://privacy-face-blur-pezhvak.streamlit.app/)
> **Note :** There may be **inconsistencies** due to differences in installed packages in Streamlit
## Features
- **Automatic Face Blurring**: Automatically blurs faces, then allows manual selection of additional faces..
- **Manual Face Blurring**: Allows users to manually select faces or regions to blur.
## Installation
### Clone the Repository
To get started, clone the repository to your local machine using the following command:
```bash
git clone https://github.com/pezhvak98/Privacy-Face-Blur.git
cd Privacy-Face-Blur
```
### Installation Script
To install this app and all the required dependencies after cloning, simply run the installation script:
```bash
chmod +x install.sh
./install.sh
```
The `install.sh` script will take care of installing all the prerequisites needed to run `PrivacyFaceBlur` on your system. Installation items are listed below:
- **Python** 3.x
- **pip** (Python package installer)
- **Streamlit**: For building the web application interface.
- **OpenCV**: For image processing and face detection.
- **Dlib**: For face detection algorithms.
- **Numpy**: For numerical operations on images.
- **Streamlit-Drawable-Canvas**: For interactive canvas drawing in Streamlit.
- **Pillow**: For image manipulation.
> **Note:** The **`requirements.txt`** file is only for running this program in `streamlit`. You don't need to use it on your system. The installation script takes care of all the tasks.
## Usage
To run the PrivacyFaceBlur app, execute the following command in your terminal:
```bash
streamlit app.py
```
You can now view your Streamlit app directly in your browser.
```bash
Local URL: http://localhost:
Network URL: http://:
```
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