1 | initial version |
OpenCV has support for the libgphoto2 library. So you can control and capture images with cameras supported by this library using the cv::VideoCapture
class.
For even more functionality and control, you can use libgphoto2 class for capturing and convert the captured images to cv::Mat; it's quite easy.
2 | No.2 Revision |
OpenCV has support for the libgphoto2 library. So you can control and capture images with cameras supported by this library using the cv::VideoCapture
class.
For even more functionality and control, you can use libgphoto2 class for capturing and convert the captured images to cv::Mat; it's quite easy.easy. Here are some examples.
Here is the list of supported cameras: http://gphoto.org/proj/libgphoto2/support.php
3 | No.3 Revision |
OpenCV has support for the libgphoto2 library. So you can control and capture images with cameras supported by this library using the cv::VideoCapture
class.
For even more functionality and control, you can use libgphoto2 class for capturing and convert the captured images to cv::Mat; it's quite easy. Here are some examples.
Here is the list of supported cameras: http://gphoto.org/proj/libgphoto2/support.php
Just make sure that you have libgphoto2 library installed and OpenCV is built with libgphoto support.
4 | No.4 Revision |
OpenCV has support for the libgphoto2 library. So you can control and capture images with cameras supported by this library using the cv::VideoCapture
class.
For even more functionality and control, you can use directly the libgphoto2 class library for capturing and convert the captured images to cv::Mat; it's quite easy. Here are some examples.
Here is the list of supported cameras: http://gphoto.org/proj/libgphoto2/support.php
Just make sure that you have libgphoto2 library installed and OpenCV is built with libgphoto support.