Python OpenCV

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Python OpenCV

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Python cv2.imdecode() function is used to read image data from a memory cache and convert it into image format. This is generally used for loading the image efficiently from the internet.

Syntax: cv2.imdecode(buf,flags)

Parameters:

buf – It is the image data received in bytesflags – It specifies the way in which image should be read. It鈥檚 default value is cv2.IMREAD_COLOR

Return: Image array

Note: If buf given is not image data then NULL will be returned.

Example 1:

Python3

#import modulesimport numpy as npimport urllib.requestimport cv2 # read the image urlurl = 'https://media.geeksforgeeks.org/wp-content/uploads/20211003151646/geeks14.png' with urllib.request.urlopen(url) as resp: # read image as an numpy array image = np.asarray(bytearray(resp.read()), dtype="uint8") # use imdecode function image = cv2.imdecode(image, cv2.IMREAD_COLOR) # display image cv2.imwrite("result.jpg", image)

Output:

Example 2: If grayscale is required, then 0 can be used as flag.

Python3

# import necessary modulesimport numpy as npimport urllib.requestimport cv2 # read image urlurl = 'https://media.geeksforgeeks.org/wp-content/uploads/20211003151646/geeks14.png' with urllib.request.urlopen(url) as resp: # convert to numpy array image = np.asarray(bytearray(resp.read()), dtype="uint8") # 0 is used for grayscale image image = cv2.imdecode(image, 0) # display image cv2.imwrite("result.jpg", image)

Output:

Example 3: Reading image from a file

Input Image:

Python3

# import necessayr modulesimport numpy as npimport urllib.requestimport cv2 # read th imagewith open("image.jpg", "rb") as image: f = image.read() # convert to numpy array image = np.asarray(bytearray(f)) # RGB to Grayscale image = cv2.imdecode(image, 0) # display image cv2.imshow("output", image)

Output:

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Python OpenCV

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