🧠 Pickasso Vision Inference & Ethical Decision-Making

This repository contains the Vision Inference and Ethical Decision-Making pipeline for the Pickasso Robot Project.

📚 Project Structure

• models/: Place your pre-trained YOLO .pt models here.
• test_images/: Add test images to simulate object detection.
• vision_ethics_integration.py: Main script performing detection and applying ethical decisions.
• task_queue.json: Auto-generated task queue based on detected objects.

🚀 How to Run

1. Clone the Repository:

git clone https://github.com/AapseMatlb/pickasso-vision-inference.git
cd pickasso-vision-inference

2. Install Dependencies:

pip install torch torchvision pandas

3. Run the Script:

python3 vision_ethics_integration.py

✅ Ethical Decision Mapping

Item	Action
Trash	Pick
Dangerous Item	Alert
Personal Item	Ignore
Stationary	Ignore
Human Detected	Pause and Ask for Help

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📂 Example Output (task_queue.json)

[
    {
        "image": "office1.jpg",
        "item": "trash",
        "confidence": 0.92,
        "action": "Pick"
    },
    {
        "image": "office1.jpg",
        "item": "blade",
        "confidence": 0.88,
        "action": "Alert"
    }
]

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For detailed simulation of Navigation, Manipulation, and HMI, refer to the main Pickasso project repository.