OpenCV-Python is a library of Python bindings designed to solve computer vision problems.
cv2.cvtColor() method is used to convert an image from one color space to another. There are more than 150 color-space conversion methods available in OpenCV. We will use some of color space conversion codes below.
Syntax: cv2.cvtColor(src, code[, dst[, dstCn]])
src: It is the image whose color space is to be changed.
code: It is the color space conversion code.
dst: It is the output image of the same size and depth as src image. It is an optional parameter.
dstCn: It is the number of channels in the destination image. If the parameter is 0 then the number of the channels is derived automatically from src and code. It is an optional parameter.
Return Value: It returns an image.
Image used for all the below examples:
Using HSV color space. HSV color space is mostly used for object tracking.
- Python OpenCV | cv2.rectangle() method
- Python OpenCV | cv2.blur() method
- Python OpenCV | cv2.copyMakeBorder() method
- Python OpenCV | cv2.ellipse() method
- Python OpenCV | cv2.putText() method
- Python OpenCV | cv2.arrowedLine() method
- Python OpenCV | cv2.erode() method
- Python OpenCV | cv2.line() method
- Python OpenCV | cv2.imwrite() method
- Python OpenCV | cv2.circle() method
- Python OpenCV | cv2.imshow() method
- Python OpenCV | cv2.imread() method
- Line detection in python with OpenCV | Houghline method
- Python Program to detect the edges of an image using OpenCV | Sobel edge detection method
- Real-Time Edge Detection using OpenCV in Python | Canny edge detection method
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