In the first part of this tutorial, we’ll discuss single-threaded vs. Looking for the source code to this post? Jump Right To The Downloads Section Multiprocessing with OpenCV and Python To learn how to use multiprocessing with OpenCV and Python, just keep reading. I’ll show you in the rest of this tutorial. The image hashing post she is referring to is singled threaded, meaning that only one core of the processor is being utilized - if we switch to using multiple threads/processes we can dramatically speed up the hashing process.īut how do we actually utilize multiprocessing with OpenCV and Python?

Is there anything I can do to speedup the process? I used your code to perform image hashing but it’s taking a long time to process the entire dataset. They have provided me with a dataset of ~7.5 million images. I’m trying to apply image hashing to my research project at the university. Hey Adrian, I just read your tutorial on image hashing with OpenCV and really enjoyed it. Today’s tutorial is inspired by PyImageSearch reader, Abigail.

You’ll learn how to use multiprocessing with OpenCV to parallelize feature extraction across the system bus, including all processors and cores on your computer. In this tutorial, you will learn how to use multiprocessing with OpenCV and Python to perform feature extraction. webm using ffmpegįfmpeg -i input_file.mp4 -c:v libvpx -crf 10 -b:v 1M -c:a libvorbis output_file.Click here to download the source code to this post For more details, please refer to the official page:.This is an open source video streamer which can stream locally stored video over rtsp.Code to demonstrate how to use exception handling with RTSP feeds.Code to demonstrate a simple face detection model running on a video streamed over RTSP.

OpenCV's frontal face haar cascade detector.

For more details, refer the official website live media server works with many video formats but this code has been tested only on '.webm', '.ogg', and '.mpg' formats (with OpenCV(ver3.3) in this example). An example video could be 'Obama out' speech. For this example, you'd need a video which has humans with frontal faces visible.

Copy the link generated above and paste it in place of in the rtsp_poc.py code.

this will generate a rtsp link (via local system IP).

Opencv ffmpeg rtsp python