GStreamer Based Image Signal Processor
|
Welcome to RidgeRun's GStreamer Based Image Signal Processor |
|
| |||||||||||||
|
GStreamer Based Image Signal Processor | |||||||||||||||
|
RidgeRun knows how important documentation is for your project, specifically with complex digital tools such as image processing. Regardless of the complexity of the technology, proper documentation can reduce the learning curve and, more importantly, the time-to-market of your product. This wiki is a user guide for our GstISP project, a GStreamer based, GPU-accelerated image signal processor for OpenCL/OpenVX powered boards. As of now, supported platforms include:
For NVIDIA Jetson, we recommend: GstCUDA The image below shows the different processing nodes available in GstISP, which can be arranged in different configurations[1].  | |||||||||||||||
| |||||||||||||||
|
RidgeRun support | |||||||||||||||
|
RidgeRun provides support for embedded Linux development and OpenCL, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators exposed to perform transformations on the video streams achieving great performance on complex processing. This page contains detailed guides and information on how to get started with the GstISP, a GStreamer Based Image Signal Processor for full profile platforms and start using its full capabilities. To get up-to-speed with GstISP in your platform, start by clicking below:
 See also
For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
ARTIFICIAL INTELLIGENCE
| |||||||||||||||
