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| title: Classroom Dimension Estimator | |
| emoji: 📏 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: "1.28.1" | |
| app_file: app.py | |
| pinned: false | |
| # Classroom Dimension Estimator | |
| This Streamlit application estimates classroom dimensions from images using computer vision techniques. It can detect room boundaries and use a person in the image as a reference for more accurate measurements. | |
| ## Features | |
| - Upload classroom images | |
| - Automatic dimension estimation | |
| - Person detection for better scaling | |
| - Visual results with confidence levels | |
| ## Usage | |
| 1. Upload an image of your classroom | |
| 2. The app will automatically process the image | |
| 3. View results in the Image Analysis and Results tabs | |
| ## Best Practices | |
| - Include a person in the image for better accuracy | |
| - Ensure good lighting conditions | |
| - Capture clear views of walls and corners | |
| - Avoid extreme angles | |
| - Keep the image in focus | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| ## Technologies Used | |
| - Streamlit | |
| - OpenCV | |
| - MediaPipe | |
| - NumPy | |
| - PIL | |