[Service] User=pi # or any user that owns the webcam WorkingDirectory=/home/pi/facemp4 ExecStart=/home/pi/facemp4-env/bin/facemp4 \ --device 0 \ --output /var/media/shweta_cam_$(date +%%Y%%m%%d_%%H%%M%%S).mp4 \ --detect-faces \ --record-on-face \ --show Restart=on-failure 24 Tamil Movie Install Download In Tamilyogi Apr 2026
rec.start() # begins capture in a background thread # … do other things here, e.g. wait for a key press or integrate with a GUI … rec.stop() # clean shutdown The CameraRecorder class also exposes callbacks ( on_frame , on_face_detected ) if you want to feed frames into a neural‑network or stream them over a network socket. | Problem | Quick Fix | |---------|-----------| | No camera devices listed | • On Linux, run ls /dev/video* . If none appear, enable the camera in BIOS or load the uvcvideo kernel module ( sudo modprobe uvcvideo ). • On Windows, check Device Manager → Imaging devices. | | ffmpeg not found / “codec not supported” | Ensure ffmpeg is on your PATH ( ffmpeg -version ). The pip wheel bundles a copy, but if you use the source build you must have the external binary. | | Video is choppy / low FPS | • Lower the resolution (e.g., 640x480 ). • Verify that the USB port is not shared with high‑bandwidth devices. • Use a dedicated USB 3.0 port for the webcam. | | Audio is missing | FaceMP4 only records audio if the device index also provides a microphone. Specify --audio-device 0 (or the appropriate index) if you have a separate mic. | | Face detection is slow | Install the optional torch‑based detector: pip install facemp4[torch] . It uses a tiny MobileNet‑SSD model that runs at >30 fps on a modern laptop GPU. | | The saved file won’t play in VLC | Re‑encode with ffmpeg: ffmpeg -i shweta_cam.mp4 -c:v libx264 -crf 23 -c:a aac -b:a 128k fixed.mp4 | 6. Advanced Tips 6.1. Streaming the same feed over the network facemp4 \ --device 0 \ --output - # “-” means “write to stdout” (raw H264 stream) --show \ | ffmpeg -i - -c copy -f mpegts udp://239.0.0.1:1234 You can now view the stream on any device that can ingest an MPEG‑TS UDP multicast (e.g., VLC → udp://@239.0.0.1:1234 ). 6.2. Recording only when a face is present facemp4 \ --device 0 \ --output shweta_cam_if_face.mp4 \ --detect-faces \ --record-on-face \ --min-face-duration 2 # start recording after a face has been present for 2 s 6.3. Running as a background service (Linux systemd) Create a file /etc/systemd/system/facemp4.service : Deeper Emily Willis Starlet 1080p Hevc X265 Hq High - Quality
The project is hosted on GitHub: https://github.com/kaamuk/facemp4 (replace kaamuk with the actual author if you know it). The repo contains pre‑built binaries for Windows, a pip package for all platforms, and a CMake‑based source tree if you prefer to compile from scratch. | OS | Packages / Tools you need | |----|----------------------------| | Windows | • Python 3.10 – 3.12 (official installer) • Visual C++ Redistributable (installed automatically by the Python installer) • Optional: ffmpeg (for custom codec tweaks – can be omitted because the wheel bundles it) | | macOS | • Homebrew ( /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" ) • Python ( brew install python ) • ffmpeg ( brew install ffmpeg ) | | Linux (Ubuntu/Debian) | bash sudo apt update && sudo apt install -y python3-pip python3-venv ffmpeg v4l-utils | | Linux (Fedora/Red Hat) | bash sudo dnf install -y python3-pip python3-virtualenv ffmpeg v4l-utils | | Raspberry Pi (32‑/64‑bit) | Same as Debian, but also ensure the camera interface is enabled ( sudo raspi-config ). | Tip – Create a virtual environment so the FaceMP4 install stays isolated from your system Python. # Anywhere you want the project folder python -m venv facemp4‑env source facemp4‑env/bin/activate # .\facemp4‑env\Scripts\activate on Windows 3. Installing FaceMP4 3.1. Quick‑install via pip pip install --upgrade pip # keep pip fresh pip install facemp4[opencv] # installs core + OpenCV for face detection The [opencv] extra pulls in opencv-python-headless . If you want the GUI‑capable version (for local preview windows), install opencv-python instead:
If you already have a different piece of software in mind, just let me know – the same concepts apply and the instructions can be tweaked. | Feature | Description | |--------|-------------| | Live preview | Shows the webcam (or any video capture device) in a window. | | MP4 recording | Writes the stream to a high‑compatibility MP4 file (H.264 video + AAC audio). | | Face‑aware options (optional) | Detects faces with OpenCV and can draw bounding boxes, blur faces, or record only when a face is present. | | Cross‑platform | Works on Windows 10/11, macOS 13+, and most Linux distros (Ubuntu, Debian, Fedora, Arch, Raspberry Pi OS). | | Python‑friendly | Provides a simple CLI ( facemp4 ) and a Python module ( facemp4 ) for custom scripts. |
[Unit] Description=FaceMP4 – Shweta Cam live recording After=network.target
rec = CameraRecorder( device_index=0, output_path="shweta_cam_custom.mp4", fps=30, resolution=(1280, 720), show_window=True, detect_faces=True, blur_faces=False, )