🚗 DeepPiCar Research Results

This project is a beginner-friendly AI vision system for a self-driving car using OpenCV and YOLOv5.
It includes:

• ✅ Camera Setup – Ensuring your webcam works.
• ✅ Real-Time Object Detection – Detecting objects using YOLOv5.
• ✅ Lane Detection – Identifying road lane markings using OpenCV.

By following this guide, you can clone this repo, install dependencies, and run each script step by step.

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⚡ 1️⃣ Clone This Repository & Set Up Virtual Environment

# Clone the repository
git clone https://github.com/yourusername/hakan-research-results.git
cd hakan-research-results

# Install Python 3.10 (if not installed)
brew install python@3.10  # For macOS
# Windows users: Download from python.org

# Create and activate a virtual environment
python3 -m venv venv
source venv/bin/activate  # macOS/Linux
# or
venv\Scripts\Activate  # Windows

# Upgrade pip and install dependencies
pip install --upgrade pip
pip install torch torchvision opencv-python opencv-python-headless ultralytics

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📸 2️⃣ Test Camera Setup

# Run camera feed test
python camera_stream.py

This should open a window showing your live camera feed.
If the camera is detected, you should see yourself on the screen.

Press q to exit.

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🎯 3️⃣ Run Object Detection (YOLOv5)

# Clone YOLOv5 and install dependencies
git clone https://github.com/ultralytics/yolov5.git
cd yolov5
pip install -r requirements.txt
cd ..

# Run YOLOv5 object detection
python object_detection.py

This will detect objects like people, phones, and laptops, drawing bounding boxes around them.

Press q to exit.

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🛣️ 4️⃣ Run Lane Detection

# Run lane detection
python lane_detection.py

This will highlight lane edges in white on a black background. Btw hat's a sad 🙁 face there. Yeah it can detect even the lanes of a sad face 😅

Press q to exit.

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✅ 5️⃣ Troubleshooting

Camera Not Working?

• Try changing cv2.VideoCapture(0) to cv2.VideoCapture(1) in camera_stream.py.

YOLOv5 Not Detecting Objects?

• Ensure you've installed YOLOv5 dependencies:

  git clone https://github.com/ultralytics/yolov5.git
  cd yolov5
  pip install -r requirements.txt
  cd ..

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🚀 6️⃣ Next Steps

Now that object detection and lane detection are working:

1. 🎯 Combine Object & Lane Detection in a single script.
2. 🔧 Control a car’s movement based on detections.
3. 🖥 Build a web-based control panel (like a Tesla UI).

Stay tuned for more updates!

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💡 Credits

Developed as part of DeepPiCar by Hakan Asmaoglu.

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