Each Answer to this Q is separated by one/two green lines.
I am trying to read a
png image in python. The
imread function in
scipy is being deprecated and they recommend using
However, I am would rather restrict my usage of external libraries to
matplotlib libraries. Thus, using
scikit image is not a good option for me.
Are there any methods in python or
matplotlib to read images, which are not being deprecated?
With matplotlib you can use (as shown in the matplotlib documentation)
import matplotlib.pyplot as plt import matplotlib.image as mpimg img=mpimg.imread('image_name.png')
And plot the image if you want
imgplot = plt.imshow(img)
You can also use Pillow like this:
from PIL import Image image = Image.open("image_path.jpg") image.show()
import matplotlib.pyplot as plt image = plt.imread('images/my_image4.jpg') plt.imshow(image)
Using ‘matplotlib.pyplot.imread’ is recommended by warning messages in jupyter.
If you just want to read an image in Python using the specified
libraries only, I will go with
In matplotlib :
import matplotlib.image read_img = matplotlib.image.imread('your_image.png')
For the better answer, you can use these lines of code.
Here is the example maybe help you :
import cv2 image = cv2.imread('/home/pictures/1.jpg') plt.imshow(image) plt.show()
imread() you can pass the directory .so you can also use
+ to combine dynamic directories and fixed directory like this:
path="/home/pictures/" for i in range(2) : image = cv2.imread(str(path)+'1.jpg') plt.imshow(image) plt.show()
Both are the same.
Matplotlib can only read PNGs natively. Further image formats are supported via the optional dependency on Pillow.
So in case of
PNG we may use
plt.imread(). In other cases it’s probably better to use
you can try to use cv2 like this
import cv2 image= cv2.imread('image page') cv2.imshow('image', image) cv2.waitKey(0) cv2.destroyAllWindows()
I read all answers but I think one of the best method is using openCV library.
import cv2 img = cv2.imread('your_image.png',0)
and for displaying the image, use the following code :
from matplotlib import pyplot as plt plt.imshow(img, cmap = 'gray', interpolation = 'bicubic') plt.xticks(), plt.yticks() # to hide tick values on X and Y axis plt.show()
from IPython.display import Image
Image(filename =”Covid.jpg” size )