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Merge pull request #15529 from collinbrake:feature_grammar_fixes

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Alexander Alekhin 2019-09-18 11:19:59 +00:00
commit 1ecea1f4a6
1 changed files with 11 additions and 11 deletions
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doc/py_tutorials/py_gui/py_image_display/py_image_display.markdown
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@ -4,7 +4,7 @@ Getting Started with Images {#tutorial_py_image_display}
Goals Goals
----- -----
- Here, you will learn how to read an image, how to display it and how to save it back - Here, you will learn how to read an image, how to display it, and how to save it back
- You will learn these functions : **cv.imread()**, **cv.imshow()** , **cv.imwrite()** - You will learn these functions : **cv.imread()**, **cv.imshow()** , **cv.imwrite()**
- Optionally, you will learn how to display images with Matplotlib - Optionally, you will learn how to display images with Matplotlib
@ -30,7 +30,7 @@ See the code below:
import numpy as np import numpy as np
import cv2 as cv import cv2 as cv
# Load an color image in grayscale # Load a color image in grayscale
img = cv.imread('messi5.jpg',0) img = cv.imread('messi5.jpg',0)
@endcode @endcode
@ -43,7 +43,7 @@ Even if the image path is wrong, it won't throw any error, but `print img` will
Use the function **cv.imshow()** to display an image in a window. The window automatically fits to Use the function **cv.imshow()** to display an image in a window. The window automatically fits to
the image size. the image size.
First argument is a window name which is a string. second argument is our image. You can create as First argument is a window name which is a string. Second argument is our image. You can create as
many windows as you wish, but with different window names. many windows as you wish, but with different window names.
@code{.py} @code{.py}
cv.imshow('image',img) cv.imshow('image',img)
@ -66,11 +66,11 @@ MUST use it to actually display the image.
specific window, use the function **cv.destroyWindow()** where you pass the exact window name as specific window, use the function **cv.destroyWindow()** where you pass the exact window name as
the argument. the argument.
@note There is a special case where you can already create a window and load image to it later. In @note There is a special case where you can create an empty window and load an image to it later. In
that case, you can specify whether window is resizable or not. It is done with the function that case, you can specify whether the window is resizable or not. It is done with the function
**cv.namedWindow()**. By default, the flag is cv.WINDOW_AUTOSIZE. But if you specify flag to be **cv.namedWindow()**. By default, the flag is cv.WINDOW_AUTOSIZE. But if you specify the flag to be
cv.WINDOW_NORMAL, you can resize window. It will be helpful when image is too large in dimension cv.WINDOW_NORMAL, you can resize window. It will be helpful when an image is too large in dimension
and adding track bar to windows. and when adding track bars to windows.
See the code below: See the code below:
@code{.py} @code{.py}
@ -91,8 +91,8 @@ This will save the image in PNG format in the working directory.
### Sum it up ### Sum it up
Below program loads an image in grayscale, displays it, save the image if you press 's' and exit, or Below program loads an image in grayscale, displays it, saves the image if you press 's' and exit, or
simply exit without saving if you press ESC key. simply exits without saving if you press ESC key.
@code{.py} @code{.py}
import numpy as np import numpy as np
import cv2 as cv import cv2 as cv
@ -117,7 +117,7 @@ Using Matplotlib
Matplotlib is a plotting library for Python which gives you wide variety of plotting methods. You Matplotlib is a plotting library for Python which gives you wide variety of plotting methods. You
will see them in coming articles. Here, you will learn how to display image with Matplotlib. You can will see them in coming articles. Here, you will learn how to display image with Matplotlib. You can
zoom images, save it etc using Matplotlib. zoom images, save them, etc, using Matplotlib.
@code{.py} @code{.py}
import numpy as np import numpy as np
import cv2 as cv import cv2 as cv