RidgeRun News: Difference between revisions
m (→Older News) |
m (→Older News) |
||
Line 18: | Line 18: | ||
; 2017-10-11 | ; 2017-10-11 | ||
* {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Xilinx_UltraScale_Plus_VPSS_V4L2_Linux_Video_Processing_Driver Xilinx UltraScale+ VPSS V4L2 Linux Video Processing Driver] | * {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Xilinx_UltraScale_Plus_VPSS_V4L2_Linux_Video_Processing_Driver Xilinx UltraScale+ VPSS V4L2 Linux Video Processing Driver] | ||
; 2017- | ; 2017-09-22 | ||
* {{ SymbolOK }} [ | * {{ SymbolOK }} [https://developer.ridgerun.com/wiki/index.php?title=GstCUDA '''GstCUDA''' - RidgeRun developed GStreamer plug-in enabling CUDA algorithm easy integration into GStreamer pipelines.It provides a zero memory copy interface between CUDA and GStreamer on Jetson TX1/TX2 platforms] | ||
; 2017-05-19 | |||
* {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=SyncSnap_Application SyncSnap Application - Client–Server model design approach which allows to take synchronized snapshots between cameras connected to the same SoC, such as a Jetson TX1 or Jetson TX2.] | |||
; 2017-05-18 | ; 2017-05-18 | ||
* {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer_QT_Overlay GStreamer QT Overlay - GStreamer plug-in that renders QT graphics on top of a video stream.] | * {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer_QT_Overlay GStreamer QT Overlay - GStreamer plug-in that renders QT graphics on top of a video stream.] | ||
; 2017-03-08 | ; 2017-03-08 | ||
* {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer_pipelines_for_Tegra_X2 GStreamer pipelines for NVIDIA TX2 Jetson are ready from RidgeRun] | * {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer_pipelines_for_Tegra_X2 GStreamer pipelines for NVIDIA TX2 Jetson are ready from RidgeRun] | ||
; 2017-01-06 | |||
* {{ SymbolOK }} [http://www.ridgerun.com/store/RidgeRun-Professional-Linux-SDK-for-Xilinx-Zynq-Ultrascale%2B-p78957111 RidgeRun Professional SDK for Xilinx Ultrascale+ Zynq ZCU102 is now available] | |||
; 2016-12-23 | ; 2016-12-23 | ||
* {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer-OpenCV_face_detection_for_Tegra_X1 RidgeRun’s NVIDIA TX1 CUDA accelerated GStreamer OpenCV element is now available - Demonstrated using a face detection algorithm] | * {{ SymbolOK }} [http://developer.ridgerun.com/wiki/index.php?title=Gstreamer-OpenCV_face_detection_for_Tegra_X1 RidgeRun’s NVIDIA TX1 CUDA accelerated GStreamer OpenCV element is now available - Demonstrated using a face detection algorithm] |
Revision as of 14:42, 21 January 2018
Introduction
Recent News
Recent News
- 2017-11-22
- More about Linux and GStreamer Software Development Services from RidgeRun, We are looking forward to helping you!
- 2017-09-22
- GstCUDA - RidgeRun developed GStreamer plug-in enabling CUDA algorithm easy integration into GStreamer pipelines.It provides a zero memory copy interface between CUDA and GStreamer on TEGRA X1/X2 platforms
- 2017-05-19
- SyncSnap Application - Client–Server model design approach which allows to take synchronized snapshots between cameras connected to the same SoC, such as a Tegra TX1 or Tegra TX2.
Older News
Older News
- 2017-11-30
- 2017-10-11
- 2017-09-22
- GstCUDA - RidgeRun developed GStreamer plug-in enabling CUDA algorithm easy integration into GStreamer pipelines.It provides a zero memory copy interface between CUDA and GStreamer on Jetson TX1/TX2 platforms
- 2017-05-19
- SyncSnap Application - Client–Server model design approach which allows to take synchronized snapshots between cameras connected to the same SoC, such as a Jetson TX1 or Jetson TX2.
- 2017-05-18
- 2017-03-08
- 2017-01-06
- 2016-12-23
- RidgeRun’s NVIDIA TX1 CUDA accelerated GStreamer OpenCV element is now available - Demonstrated using a face detection algorithm
- 2016-12-14
- RidgeRun's Sony 8MP IMX219 camera sensor linux driver on NVIDIA TX1 platform - SD card demo image (Evaluation Version) is now available.
- 2016-11-1