![]() ![]() > from PIL import Image > testimg Image.open('test.png') > testimg.mode. If I open it with Pillow, convert it to 8-bit grayscale, and save it, like so. # Window shown waits for any key pressing eventĬv2. Here is a 16-bit grayscale image: It clearly contains a gradient of grays. ![]() Gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Use the cvtColor() function to grayscale the image If the flag value is equal to 0, it will read the image as grayscale, and if it is equal to -1, the method will read the image including the alpha channel information. Thus, a black-and-white image is obtained. If the flag value of the cv2.imread() method is equal to 1, it will read the image excluding the alpha channel. If it is greater than or equal to the threshold, we assign 255 (black) to it. The cv2.imread(path, flag) method accepts two parameters: path and flag. For using this, first we have to import the cv2 library in the Python file using the import statement. ayscale () Convert the image to grayscale. This module is somewhat experimental, and most operators only work on L and RGB images. The ImageOps module contains a number of ‘ready-made’ image processing operations. The cv2.imread() method loads an image from the specified file. Practice PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. It provides good support for Machine Learning, Face Recognition, Deep Learning, etc. OpenCV is a free, open source library that is used for computer vision. Convert image to grayscale using OpenCV Library ![]()
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