capstone for python course ✅ Step-by-Step Execution in VS Code
🧱 1. Prerequisites Make sure:
You have Python 3.x installed.
You’ve installed VS Code and the Python extension.
You’ve saved the image (capstone_coins.png) into the images/ folder.
📁 2. Folder Structure Should Look Like:
coin_identifier/
├── images/── capstone_coins.png
├── output/── (will contain: detected_coins.png, detection_log.txt)
├── utils/── coin_utils.py
├── coin_detector.py
├── requirements.txt
🐍 3. Create Virtual Environment ✅ For Windows: python -m venv venv
venv\Scripts\activate
✅ For macOS/Linux:
python3 -m venv venv
source venv/bin/activate
You should now see (venv) in your terminal prompt.
📦 4. Install Dependencies
pip install -r requirements.txt
🧠 🧪 6. Run the Script In your terminal (with venv activated):
python coin_detector.py
✅ 7. Results After running:
💾 output/detected_coins.png: Image with labeled coins and total value.
📄 output/detection_log.txt: Text log with coin values and info.
🖼 A pop-up window will show the image with labels.
✅ Console will print save confirmation.
❌ To Exit the Virtual Environment
deactivate