README.md

metadata

title: Nudity Detection App
emoji: 🛡️
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.27.0
app_file: app.py
pinned: false

Nudity Detection App

The Nudity Detection App is a tool designed to analyze images and videos for nudity detection. Built with Streamlit and OpenCV, it offers two key features:

• Image Nudity Detection: Upload an image to detect nudity, visualize the detection, and blur nudity if found.
• Video Nudity Detection: Upload a video to scan for nudity frame-by-frame.

Features

1. Detect nudity in images and videos.
2. Provide visualized results for detection.
3. Automatically blur detected nude areas for privacy.

Requirements

• Python 3.7+
• ONNX model file (best.onnx) placed in the project directory.

Installation

1. Clone this repository:

   git clone https://github.com/AdiKhanOfficial/nudity-detection-app.git
   cd nudity-detection-app
   

2. Install required packages:

   pip install -r requirements.txt
   

3. Run the application:

   streamlit run app.py
   

File Descriptions

• app.py: Main app file to toggle between image and video detection.
• nude_image_app.py: Handles image nudity detection logic.
• nude_video_app.py: Handles video nudity detection logic.
• NudeDetector.py: Core detection logic using an ONNX model.
• best.onnx: Pre-trained ONNX model (not included, must be added manually).

Screenshots

1. Image Detection Interface
   Detect nudity in images with visualized results.

2. Video Detection Interface
   Analyze video frames for nudity detection.

Contact

For further queries or assistance, contact:

Adil Khan

• Website
• GitHub
• WhatsApp