pupil-labs / pyuvc

python binding to libuvc
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pyuvc


Python bindings for the Pupil Labs fork of libuvc <https://github.com/pupil-labs/libuvc> with super fast jpeg decompression using libjpegturbo <http://libjpeg-turbo.virtualgl.org/> (utilizing the tubojpeg api).

Image data is returned as Frame object. This object will decompress and convert on the fly when image data is requested. This gives the user the full flexiblity: Grab just the jpeg buffers or have them converted to YUV or Gray or RGB and only when you need.

The Frame class has caching build in to avoid double decompression or conversion.

Install via PyPI ################

.. code-block::

pip install pupil-labs-uvc

Example #######

See examples/ for code examples.

Install from source ###################

pyuvc requires the following dependencies:

Once the dependencies are installed, you can pip install the source tree::

git clone https://github.com/pupil-labs/pyuvc --recursive export FORCE_LOCAL_LIBUVC_BUILD=ON pip install ./pyuvc

Linux


Ubuntu/Debian::

apt-get update -y apt-get install -y libusb-1.0-0-dev libturbojpeg-dev

Running as a non-root user

One needs to setup udev rules and add the target user to the plugdev group to avoid the privileged access requirement.

.. code-block:: bash

echo 'SUBSYSTEM=="usb", ENV{DEVTYPE}=="usb_device", GROUP="plugdev", MODE="0664"' | sudo tee /etc/udev/rules.d/10-libuvc.rules > /dev/null sudo udevadm trigger sudo usermod -a -G plugdev $USER

logout and back in

macOS


Homebrew::

brew update brew install libusb jpeg-turbo

Running as a non-root user

Unfortunately, this is currently not possible. See this libusb issue thread <https://github.com/libusb/libusb/issues/1014>__ for details.

WINDOWS


Run the following code in a powershell to install the dependencies (requires 7z <https://www.7-zip.org/>__ to be installed)

.. code-block:: powershell

pip install build delvewheel git clone https://github.com/pupil-labs/pyuvc --recursive cd pyuvc scripts/download-deps-win.ps1 -DEPS_TMP_PATH tmp $Env:DEPS_PATHS_LOC = "tmp/dep_paths.json" python -m build -w # will create a wheel in dist/ folder; insert the wheel path below python scripts/repair-wheels-win.py $Env:DEPS_PATHS_LOC wheelhouse pip install wheelhouse/

Manual driver installation

pyuvc requires the libUSBk driver to be installed for your corresponding camera. Otherwise, metadata like the product name will be set to "unknown".

Please see these instructions <https://github.com/pupil-labs/pyuvc/blob/master/WINDOWS_USER.md>__ on how to manually install libUSBk drivers for your specific camera.