OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2.imshow() method is used to display an image in a window. The window automatically fits to the image size.
Syntax: cv2.imshow(window_name, image)
window_name: A string representing the name of the window in which image to be displayed.
image: It is the image that is to be displayed.
Return Value: It doesn’t returns anything.
Image used for all the below examples:
- OpenCV - Facial Landmarks and Face Detection using dlib and OpenCV
- Transition from OpenCV 2 to OpenCV 3.x
- Real-Time Edge Detection using OpenCV in Python | Canny edge detection method
- Python Program to detect the edges of an image using OpenCV | Sobel edge detection method
- Line detection in python with OpenCV | Houghline method
- Python | Corner detection with Harris Corner Detection method using OpenCV
- Python | Corner Detection with Shi-Tomasi Corner Detection Method using OpenCV
- Python OpenCV | cv2.imread() method
- Python OpenCV | cv2.imwrite() method
- Python OpenCV | cv2.line() method
- Python OpenCV | cv2.rectangle() method
- Python OpenCV | cv2.circle() method
- Python OpenCV | cv2.putText() method
- Python OpenCV | cv2.ellipse() method
- Python OpenCV | cv2.cvtColor() method
- Python OpenCV | cv2.copyMakeBorder() method
- Python OpenCV | cv2.arrowedLine() method
- Python OpenCV | cv2.blur() method
- Python OpenCV | cv2.erode() method
- Python OpenCV: Optical Flow with Lucas-Kanade method
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