New software partner provides incredible options for image processing on GPU
XIMEA always strives to offer to customers something extra on top of everything else.
We call it - To go the extra Vision.
This is why cooperation with the company called Fastvideo was so important for us.
You can explore the new possibilities below.
Audio/video sessions from GTC 2014 Conference on the topic:
Fastvideo Image Processing SDK
Fastvideo company has designed high performance SDK to offer full image processing pipeline on GPU for camera applications with total peak performance 4 GPix/s.
For example, JPEG encoding for 24-bit image with resolution 4K could be done at 0.8 ms on NVIDIA GeForce GTX 1080 GPU.
This SDK corresponds to standard image and video processing pipeline for camera applications.
It covers all image processing stages starting from raw image acquisition from a camera to JPEG or JPEG2000 compression with storage to RAM or SSD/HDD.
Currently, Fastvideo offers the fastest on the market solutions for demosaicing, denoising, resizing, JPEG and JPEG2000 encoding on GPU.
Image & Video Processing SDK Features
Image & Video Processing SDK Options
- Auto White Balance
- Discrete Wavelet transforms 5/3 and 9/7
- Medial filter
- Time measurements for all SDK modules
- Trace module
- Multiplexor module
- Support for input data from HD-SDI grabbers: Bluefish and Deltacast
- Multiple camera solutions for real-time processing
- NVIDIA Tegra K1, X1 and X2 support
- Stream-per-thread option for better performance
- Interoperability with third-party SDKs on CUDA
- Interoperability with FFmpeg
- RAW and DNG (CinemaDNG) image and video processing
Fast compression and realtime image and video processing on GPU is popular and growing in demand in modern industries.
Indeed, high framerate cameras, real-time video surveillance systems, 3D, VR and digital cinema solutions, heavy-loaded web services and medical equipment, often require zero tolerance to delays due to image processing.
And this is where the performance of image and video processing could be a serious bottleneck.
Comparing with conventional solutions on CPU, GPU-based algorithm implementations from Fastvideo SDK demonstrate 10-30 times performance speed up retaining the same or even better quality of the output and minimizing the host processor workload.
OS Windows-7/8/10, Linux Ubuntu and CentOS, L4T
NVIDIA GPUs (Kepler, Maxwell, Pascal, Volta) for mobile, laptop, desktop, server
NVIDIA Tegra K1, X1 and X2 mobile GPUs
NVIDIA CUDA 9.2
Sample projects for MSVC 2017 and gcc
Custom Image Processing SDK for NVIDIA GPUs
Wide range offering of integration services to connect your software with Fastvideo Image & Video Processing SDK.
To achieve high performance on GPU for specific imaging applications Fastvideo is also developing custom SDKs according to agreed specification.
If you can't find in the details above your image processing pipeline, get in touch to discuss the overall possibility.
You can also have a look at our projects in development.