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| title: Store Entry People Counter | |
| emoji: 🏪 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.23.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| # Store Entry People Counter | |
| This Hugging Face Space provides an interface to count the number of people entering through a line in a video (e.g., store entrance). It uses YOLOv8 for person detection and tracking. | |
| [](https://huggingface.co/spaces/asvs/store-entry-counter) | |
| ## Features | |
| - Real-time person detection using YOLOv8 | |
| - Object tracking to count unique entries | |
| - Visual feedback: | |
| - Green line: Counting threshold | |
| - Blue boxes: Detected people | |
| - Yellow dots: Tracking points | |
| - Red circles: Entry indicators | |
| - Live counter with background | |
| ## How to Use | |
| 1. Open the Space in your browser | |
| 2. Upload a video file showing people entering (supports most video formats) | |
| 3. Wait for processing (time depends on video length) | |
| 4. View the processed video with counting visualization | |
| 5. See the final count in the results box | |
| ## Understanding the Output | |
| - **Green Line**: This is the counting threshold. When people cross this line from top to bottom, they are counted | |
| - **Blue Boxes**: Shows detected people in each frame | |
| - **Yellow Dots**: Tracks the position of each person | |
| - **Red Circles**: Appears when someone crosses the line and is counted | |
| - **Counter**: Shows the running total of people who have entered | |
| ## Technical Details | |
| - Uses YOLOv8 for accurate person detection | |
| - Implements object tracking to maintain person identity across frames | |
| - Counts unique crossings to avoid double-counting | |
| - Processes video frames sequentially with progress indication | |
| ## Limitations | |
| - Best results with clear, unobstructed view of people | |
| - May not work well in extremely crowded scenes | |
| - Video quality affects detection accuracy | |
| - Processing time depends on video length and resolution | |
| ## Credits | |
| Built using: | |
| - [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) | |
| - [Gradio](https://gradio.app/) | |
| - OpenCV |