File | Date | Author | Commit |
---|---|---|---|
cv2_plt_imshow | 2020-06-27 |
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[770d2e] coding completed |
dist | 2020-06-27 |
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[1e06bb] whl build version 0.0.1 added |
images | 2020-06-27 |
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[097ff1] sample test images |
tests | 2020-06-27 |
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[bbaf44] created blank test |
.gitignore | 2020-06-27 |
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[c9df9e] Initial commit |
LICENSE | 2020-06-27 |
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[c9df9e] Initial commit |
README.md | 2020-06-27 |
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[ab7bc4] Update README.md |
setup.py | 2020-06-27 |
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[db3784] setup completed |
testing_notebook.ipynb | 2020-06-27 |
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[f51432] testing by jupyter notebook |
Using matplotlib_imshow for images read by cv2
One of the major issue faced while using cv2
, especially when you are using jupyter-notebooks
, is to perform cv2.imshow
the kernel breaks. Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using %matplotlib inline
magic.
This package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks.
pip install cv2_plt_imshow
import cv2
import matplotlib.pyplot as plt
from cv2_plt_imshow import cv2_plt_imshow, plt_format
# read image
im1 = cv2.imread('./images/potrait.jpg')
# use cv2_plt_imshow function to plot any image that was read by cv2, but is plotted using pyplot
cv2_plt_imshow(im1)
# Convert the image to be suitable for pyplot format and later use it for plotting using pyplot functions
im2 = cv2.imread('./images/landscape.jpg')
fig, axs = plt.subplots(2 , figsize=(20,20))
fig.suptitle('Vertically stacked subplots')
axs[0].imshow(plt_format(im1))
axs[1].imshow(plt_format(im2))