I tried to use IPython.display with the following code:
from IPython.display import display, Image
display(Image(filename='MyImage.png'))
I also tried to use matplotlib with the following code:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
plt.imshow(mpimg.imread('MyImage.png'))
In both cases, nothing is displayed, not even an error message.
If you are using matplotlib and want to show the image in your interactive notebook, try the following:
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread('your_image.png')
imgplot = plt.imshow(img)
plt.show()
matplotlib.image: img = plt.imread('your_image.png')In a much simpler way, you can do the same using
from PIL import Image
image = Image.open('image.jpg')
image.show()
import Image statement works; shouldn't it be from PIL import Image?with Image.open('image.jpg') as im: im.show()
Image package?If you use matplotlib, you need to show the image using plt.show() unless you are not in interactive mode.
E.g.:
plt.figure()
plt.imshow(sample_image)
plt.show() # display it
sample_image = plt.imread(file_path)Your first suggestion works for me
from IPython.display import display, Image
display(Image(filename='path/to/image.jpg'))
Using opencv-python is faster for more operation on image:
import cv2
import matplotlib.pyplot as plt
im = cv2.imread('image.jpg')
im_resized = cv2.resize(im, (224, 224), interpolation=cv2.INTER_LINEAR)
plt.imshow(cv2.cvtColor(im_resized, cv2.COLOR_BGR2RGB))
plt.show()
It's simple Use following pseudo code
from pylab import imread,subplot,imshow,show
import matplotlib.pyplot as plt
image = imread('...') // choose image location
plt.imshow(image)
plt.show() // this will show you the image on console.
Your code:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
What it should be:
plt.imshow(mpimg.imread('MyImage.png'))
File_name = mpimg.imread('FilePath')
plt.imshow(FileName)
plt.show()
you're missing a plt.show() unless you're in Jupyter notebook, other IDE's do not automatically display plots so you have to use plt.show() each time you want to display a plot or made a change to an existing plot in follow up code.
Using Jupyter Notebook, the code can be as simple as the following.
%matplotlib inline
from IPython.display import Image
Image('your_image.png')
Sometimes you might would like to display a series of images in a for loop, in which case you might would like to combine display and Image to make it work.
%matplotlib inline
from IPython.display import display, Image
for your_image in your_images:
display(Image('your_image'))
import IPython.display as display
from PIL import Image
image_path = 'my_image.jpg'
display.display(Image.open(image_path))
Solution for Jupyter notebook PIL image visualization with arbitrary number of images:
def show(*imgs, **kwargs):
'''Show in Jupyter notebook one or sequence of PIL images in a row. figsize - optional parameter, controlling size of the image.
Examples:
show(img)
show(img1,img2,img3)
show(img1,img2,figsize=[8,8])
'''
if 'figsize' not in kwargs:
figsize = [9,9]
else:
figsize = kwargs['figsize']
fig, ax = plt.subplots(1,len(imgs),figsize=figsize)
if len(imgs)==1:
ax=[ax]
for num,img in enumerate(imgs):
ax[num].imshow(img)
ax[num].axis('off')
tight_layout()
ax.axis('off')To display images in python, you can use a tool that I made.
Install python3:
Clone the repo:
Install python required libs:
Usage: python3 print_image.py [path to image]
Examples: python3 print_image.py sinchan.jpg
