Difference between revisions of "RidgeRun OpenCV Fork"
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* The following script: | * The following script: | ||
<source lang=python> | <source lang=python> | ||
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import cv2 as cv | import cv2 as cv | ||
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while True: | while True: | ||
ret, frame = cap.read() | ret, frame = cap.read() | ||
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cap.release() | cap.release() | ||
cv.destroyAllWindows() | cv.destroyAllWindows() | ||
</source> | </source> | ||
Revision as of 00:15, 18 September 2020
Introduction
The RidgeRun OpenCV fork is a modified version of the project with various improvements around speed and efficiency. While some changes are general (i.e.: any platform will benefit from them), others are specific to the NVIDIA Jetson family.
The fork is hosted at:
https://github.com/RidgeRun/opencv
Building the Project
Follow the instructions in our Compiling OpenCV from Source page. Make sure you select:
- RidgeRun fork
- GStreamer support
- CUDA support (if applicable)
Enhancements
GStreamer Video Capture
Tested under the following conditions
- OpenCV Version: 4.4.0
- FPS and CPU usage taken with the GstPerf element.
- The following script:
import cv2 as cv
PIPE = "videotestsrc pattern=black ! \
video/x-raw,format=BGR,width=1920,height=1080 ! \
perf print-arm-load=true ! \
appsink sync=false drop=false max-buffers=3"
cap = cv.VideoCapture(PIPE, cv.CAP_GSTREAMER)
while True:
ret, frame = cap.read()
cap.release()
cv.destroyAllWindows()
