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Detector\n\nA Raspberry Pi powered e-ink display that detects faces and displays them as a photo on [Waveshare's 7.5 inch e-ink display](https://www.waveshare.com/7.5inch-e-paper-hat.htm).\n\n\u003cimg src=\"https://github.com/AlanCunningham/waveshare-eink-face-detector/blob/main/docs/example_image.jpg?raw=true\"\u003e\n\n# Hardware requirements\n- Raspberry Pi\n- [Waveshare's 7.5 inch e-ink display](https://www.waveshare.com/7.5inch-e-paper-hat.htm)\n- A camera (e.g. the Raspberry Pi camera, USB camera, or a networked video feed)\n- A photo frame\n\n# Installation\n```\n# Clone the repository\ngit clone git@github.com:AlanCunningham/waveshare-eink-face-detector.git\n\n# Create a python virtual environment\npython3 -m venv venv\n\n# Activate the virtual environment\nsource venv/bin/activate\n\n# Install the python dependencies using the requirements.txt file provided\npip install -r requirements.txt\n```\n\n# Running the script\nIf you're using the Raspberry Pi camera or a USB camera:\n```\n(venv)$ python main.py\n```\nIf you're using a networked camera:\n```\n(venv)$ python main.py --video url_to_video_feed\n```\n\nThe script will look for faces and take a photo if one is detected for more than\n2 seconds and display it on the screen.  It'll then go to sleep for a given amount\nof time to prevent it updating while the face is still there.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falancunningham%2Fwaveshare-eink-face-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falancunningham%2Fwaveshare-eink-face-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falancunningham%2Fwaveshare-eink-face-detector/lists"}