CVLive
A multithreaded live image processor in Python running OpenCV that processes images from a webcam or another video source and shows the results in 'real time'. A separate thread handles the processing while the main thread displays the previous result and captures the next input, resulting in significant performance gains.
CVLive makes it possible to create live demos of a wide variety of image processing concepts in only a few lines of code.
How to Install
pip install cvlive
How to Use
- Import
cvlive
- Create a subclass of
LiveImageProcessor
- Override one or more of the class methods:
convert()
,process()
,display()
andupdate()
to obtain the desired functionality
Please take a look at the examples and consult the documentation found in the LiveImageProcessor
base class to see how this might be done.
A Simple Example
from cvlive import LiveImageProcessor
import cv2
class MySimpleProcessor(LiveImageProcessor):
def convert(self):
# convert input image to grayscale
return cv2.cvtColor(self.raw_input, cv2.COLOR_BGR2GRAY)
def process(self):
# blur the input using a 51x51 Gaussian filter
self.result = cv2.GaussianBlur(self.input, (51, 51), 0)
if __name__ == "__main__":
MySimpleProcessor().run()