dcpush
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# Virtual environments
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venv/
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env/
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.venv/
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.python-version
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# Distribution / packaging
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build/
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dist/
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*.egg-info/
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.eggs/
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# Logs and local settings
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*.log
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*.env
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.envrc
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# Jupyter Notebook checkpoints
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.ipynb_checkpoints/
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# MyPy cache
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.mypy_cache/
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# PyTest cache
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.pytest_cache/
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# Coverage reports
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htmlcov/
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.coverage
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.coverage.*
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.cache
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# IDE and editor files
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.vscode/
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.idea/
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*.sublime-project
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*.sublime-workspace
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# macOS and Linux files
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.DS_Store
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*.swp
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<SUITE FILE_PATH="coverage/new_plate$main.coverage" NAME="main Coverage Results" MODIFIED="1741368772133" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
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README.md
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README.md
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# 🚀 Helmet Violation Detector
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A **real-time helmet violation detection system** that identifies motorcycles, detects whether riders are wearing helmets, and reads license plates using **YOLO, PaddleOCR, and OpenCV**.
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---
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## 📌 Features
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- 🏍️ **Motorcycle Detection** (YOLO-based)
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- 🎩 **Helmet Detection** (Custom YOLO model)
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- 🚶 **Person-Motorcycle Association** (using IoU & aspect ratio similarity)
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- 🔍 **License Plate Recognition** (PaddleOCR)
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- 🚗 **License Plate Detection** (YOLO-based)
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- 🎥 **Real-time Camera Processing** (OpenCV)
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- 📊 **Report Generation in Excel** (OpenPyXL)
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- 🖥️ **GUI Interface** (PyQt6)
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---
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## 🛠️ Installation
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### 1️⃣ Clone the Repository
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```bash
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git clone https://github.com/yourusername/helmet-violation-detector.git
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cd helmet-violation-detector
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```
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### 2️⃣ Set Up Virtual Environment (Recommended)
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```bash
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python -m venv venv
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source venv/bin/activate # On macOS/Linux
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.\venv\Scripts\activate.bat # On Windows CMD
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.\venv\Scripts\activate.ps1 # On Powershell
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```
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### 3️⃣ Install Dependencies
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Ensure you have **Python 3.8+** installed. Then, run:
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```bash
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pip install -r requirements.txt
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```
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**🔹 Note:**
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1. If you face **PaddleOCR-related dependency issues**, make sure to install **paddlepaddle**:
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```bash
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pip install paddlepaddle
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```
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2. If you face **Protobuf related issues**, make sure to install correct version of protobuf (4.25.*):
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```bash
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pip install protobuf==4.25.*
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```
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---
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## 🚀 Usage
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### 🔹 GUI Mode
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To launch the **Helmet Violation Detector GUI**, run:
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```bash
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python main.py
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```
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### 🔹 Real-time Camera Detection
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Click **"Start Real-Time Analysis"** in the GUI to process frames from your webcam.
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### 🔹 Processing Images/Videos
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1. Click **"Upload Media"** and select an image or video.
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2. Click **"Analyze Media"** to process.
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3. Click **"Create Report"** to generate an **Excel report**.
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4. Click **"Start Real-Time Mode"** to start/stop **analysis on connected webcam/camera feed**.
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---
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## 📝 Limitations
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- Cannot do excel writes in real time mode , however console outs detected number plates at all times
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- Model Accuracy depends on presented input source quality and fidelity.
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- Currently motorcycle to person association is done however,associations for person to helmet is also required.
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---
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## ⚙️ Dependencies
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This project requires:
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- **Python 3.8+**
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- **YOLO (Ultralytics)**
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- **PaddleOCR**
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- **OpenCV**
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- **Mediapipe**
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- **PyQt6**
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- **OpenPyXL (Excel support)**
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You can install them using:
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```bash
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pip install -r requirements.txt
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```
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---
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## 📌 Troubleshooting
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### ❓ Facing PaddleOCR Issues?
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If you get errors related to `protobuf` or `paddleocr`, try:
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```bash
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pip install paddlepaddle
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```
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or
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```bash
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pip install protobuf==3.20.*
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```
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---
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## 📜 License
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This project is licensed under the **Apache 2.0 License**.
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---
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## 👨💻 Author
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Developed by **Bitmutex Technologies** 🚀
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