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Title: Creating Images With NumPy (Video) – Real Python

Open Graph Title: Creating Images With NumPy – Real Python

Description: Using NumPy to Create Images. Having seen how to manipulate images using NumPy and Pillow, you can go further and create them from scratch. You can start by creating a grayscale image. On-screen, you’ll see how to create a simple image containing a…

Open Graph Description: Using NumPy to Create Images. Having seen how to manipulate images using NumPy and Pillow, you can go further and create them from scratch. You can start by creating a grayscale image. On-screen, you’ll see how to create a simple image containing a…

Opengraph URL: https://realpython.com/lessons/python-numpy-create-image/

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    "name": "Creating Images With NumPy",
    "description": "Using NumPy to Create Images. Having seen how to manipulate images using NumPy and Pillow, you can go further and create them from scratch. You can start by creating a grayscale image. On\u002Dscreen, you’ll see how to create a simple image containing a…",
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00:00https://realpython.com/lessons/python-numpy-create-image/#t=0.51
Using NumPy to Create Images.https://realpython.com/lessons/python-numpy-create-image/#t=0.51
Having seen how to manipulate images using NumPy and Pillow,https://realpython.com/lessons/python-numpy-create-image/#t=3.55
you can go further and create them from scratch.https://realpython.com/lessons/python-numpy-create-image/#t=6.83
You can start by creating a grayscale image. On-screen,https://realpython.com/lessons/python-numpy-create-image/#t=9.91
you’ll see how to create a simple image containing a square,https://realpython.com/lessons/python-numpy-create-image/#t=13.54
but you can create more elaborate images in the same way.https://realpython.com/lessons/python-numpy-create-image/#t=16.26
00:25https://realpython.com/lessons/python-numpy-create-image/#t=25.69
You create a 600x600 array containing zeros everywhere,https://realpython.com/lessons/python-numpy-create-image/#t=25.69
and then you set the value of a set of pixels at the center of the array to 255.https://realpython.com/lessons/python-numpy-create-image/#t=33.31
You can index NumPy arrays using both rows and columns. In this example,https://realpython.com/lessons/python-numpy-create-image/#t=42.38
the first slice of 200:400 represents the rows 200 tohttps://realpython.com/lessons/python-numpy-create-image/#t=47.1
399.https://realpython.com/lessons/python-numpy-create-image/#t=51.84
00:53https://realpython.com/lessons/python-numpy-create-image/#t=53.82
The second slice represents the columns 200 to 399.https://realpython.com/lessons/python-numpy-create-image/#t=53.82
Once again,https://realpython.com/lessons/python-numpy-create-image/#t=59.16
you use Image.fromarray() to convert the NumPy array into an object of typehttps://realpython.com/lessons/python-numpy-create-image/#t=59.79
Image. Finally,https://realpython.com/lessons/python-numpy-create-image/#t=64.3
you show the output on-screen.https://realpython.com/lessons/python-numpy-create-image/#t=67.63
01:11https://realpython.com/lessons/python-numpy-create-image/#t=71.67
You’ve created a grayscale image containing a square.https://realpython.com/lessons/python-numpy-create-image/#t=71.67
The mode of the image is inferred automatically when you use Image.fromarray().https://realpython.com/lessons/python-numpy-create-image/#t=75.75
In this case, mode "F" is used,https://realpython.com/lessons/python-numpy-create-image/#t=80.75
which corresponds to an image with 32-bit floating-point pixels.https://realpython.com/lessons/python-numpy-create-image/#t=83.1
01:27https://realpython.com/lessons/python-numpy-create-image/#t=87.87
It’s easy to convert this into a simpler grayscale imagehttps://realpython.com/lessons/python-numpy-create-image/#t=87.87
with 8-bit pixels.https://realpython.com/lessons/python-numpy-create-image/#t=90.84
01:37https://realpython.com/lessons/python-numpy-create-image/#t=97.69
You can go further and create a color image.https://realpython.com/lessons/python-numpy-create-image/#t=97.69
The process is repeated to create three images: one corresponding to the red,https://realpython.com/lessons/python-numpy-create-image/#t=100.65
one to the green,https://realpython.com/lessons/python-numpy-create-image/#t=106.85
and a final one corresponding to the blue channel. Once more,https://realpython.com/lessons/python-numpy-create-image/#t=110.18
you create a square in each, but in different locations.https://realpython.com/lessons/python-numpy-create-image/#t=114.2
02:07https://realpython.com/lessons/python-numpy-create-image/#t=127.05
You create an Image object from each NumPy array and convert them to grayscalehttps://realpython.com/lessons/python-numpy-create-image/#t=127.05
images using mode "L".https://realpython.com/lessons/python-numpy-create-image/#t=130.95
02:31https://realpython.com/lessons/python-numpy-create-image/#t=151.59
Now,https://realpython.com/lessons/python-numpy-create-image/#t=151.59
you can combine these three separate images into one RGB image using Image.merge().https://realpython.com/lessons/python-numpy-create-image/#t=151.81
The first argument in Image.merge() is the mode of the image output.https://realpython.com/lessons/python-numpy-create-image/#t=159.88
02:44https://realpython.com/lessons/python-numpy-create-image/#t=164.73
The second argument is a sequence with the individual single-band images.https://realpython.com/lessons/python-numpy-create-image/#t=164.73
Finally, you show the image on-screen.https://realpython.com/lessons/python-numpy-create-image/#t=171.63
You combine the separate bands into an RGB color image.https://realpython.com/lessons/python-numpy-create-image/#t=176.76
03:01https://realpython.com/lessons/python-numpy-create-image/#t=181.98
In the next section of the course,https://realpython.com/lessons/python-numpy-create-image/#t=181.98
you’ll go a step further and create an animation using NumPy and Pillow.https://realpython.com/lessons/python-numpy-create-image/#t=183.46
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Process Images Using the Pillow Library and Python (Overview) 01:59 https://realpython.com/videos/python-pillow-overview/
Basic Image Operations 07:51 https://realpython.com/videos/python-pillow-operations/
Basic Manipulations 02:42 https://realpython.com/videos/python-pillow-manipulations/
Bands and Modes of an Image 05:25 https://realpython.com/lessons/python-pillow-bands-modes/
Image Processing 04:39 https://realpython.com/lessons/python-pillow-image-processing/
Blurring, Sharpening, and Smoothing 04:31 https://realpython.com/lessons/python-pillow-blur-sharpen-smooth/
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Erosion and Dilation 04:18 https://realpython.com/lessons/python-pillow-erode-dilate/
Image Segmentation 03:38 https://realpython.com/lessons/python-pillow-segmentation/
Superimposition of Images 04:55 https://realpython.com/lessons/python-pillow-superimpose-images/
Using NumPy With Pillow 03:19 https://realpython.com/lessons/python-numpy-pillow/
Creating Images With NumPy 03:09 https://realpython.com/lessons/python-numpy-create-image/
Creating Animations With NumPy 03:14 https://realpython.com/lessons/python-pillow-numpy-animate/
Process Images Using the Pillow Library and Python (Summary) 00:47 https://realpython.com/lessons/python-pillow-summary/
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