Is PIL included in Python?

Is PIL included in Python? : Windows , Mac OS X, and Linux are all supported . The most recent PIL version is 1. 1. 7. It works with Python 1 and was released in September 2009. 5. Library for Python Imaging. Fredrik Lundh is the original author(s), and the text was originally written in Python and C. The Python Imaging Library license is used on the website www. pythonware. com/products/pil/.
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Let’s dive into the installation guidesfor the different operating systems and environments!

  • How to Install Pillow on Windows?
  • How to Install Pillow on Mac?
  • How to Install Pillow on Linux?
  • How to Install Pillow on Ubuntu?
  • How to Install Pillow in PyCharm?
  • How to Install Pillow in Anaconda?
  • Where to Go From Here?
  • More Finxter Tutorials
  • Programmer Humor

Table of Contents

How to Install Pillow on Windows?

To install the updated Pillow framework on your Windows machine, run the following code in your command line or Powershell:

  • python3 -m pip install – upgrade pip
  • python3 -m pip install – upgrade Pillow

I firmly believe that not enough programmers possess a thorough knowledge of PowerShell. Check out the following tutorials on the Finxter blog if this describes you.

Open Terminal (Applications/Terminal) and run:

  • xcode-select -install (You will be prompted to install the Xcode Command Line Tools)
  • sudo easy_install pip
  • sudo pip install pillow
  • pip install pillow

As an alternative, you can also run the following two commands to update pip and install the Pillow library:

python3 -m pip install – upgrade pippython3 -m pip install – upgrade Pillow

These you have already seen before, haven’t you?

To upgrade pip and install the Pillow library, you can use the following two commands, one after the other.

  • python3 -m pip install – upgrade pip
  • python3 -m pip install – upgrade Pillow

Here’s the code for copy&pasting:

python3 -m pip install – upgrade pippython3 -m pip install – upgrade Pillow

How to Install Pillow on Ubuntu?

Upgrade pip and install the Pillow library using the following two commands, one after the other:

  • python3 -m pip install – upgrade pip
  • python3 -m pip install – upgrade Pillow

Here’s the code for copy&pasting:

python3 -m pip install – upgrade pippython3 -m pip install – upgrade Pillow

How to Install Pillow in PyCharm?

The simplest way to install Pillow in PyCharm is to open the terminal tab and run the pip install Pillow command.

This is shown in the following code:

pip install Pillow

Here’s a screenshot of the two steps:

  • Open Terminal tab in Pycharm
  • Run pip install Pillow in the terminal to install Pillow in a virtual environment.
  • You can also use the package manager to look for Pillow as an alternative.

    However, this is usually an inferior way to install packages because it involves more steps.

    How to Install Pillow in Anaconda?

    You can install the Pillow package with Conda using the command conda install -c anaconda pillow in your shell or terminal.

    Like so:

     conda install -c anaconda pillow 

    This assumes you’ve already installed conda on your computer. If you haven’t check outthe installation steps on the official page.

    Where to Go From Here?

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    More Finxter Tutorials

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    Is PIL included in Python?

    How do I use imaging library in Python? :
    What is the name of the Python image library? : The initial library that made it possible for Python to work with images is known as PIL (Python Imaging Library). PIL no longer exists and only supports Python 2. Pillow is the friendly PIL fork that kept the library alive and incorporates Python 3 support, to use the developers’ own terminology.
    [lightweight-accordion title=”Read Detail Answer On What is the name of the Python image library?”]Python Imaging LibraryOriginal author(s)Developer(s)Initial releaseStable releasePreview releaseWritten inTypeLicenseWebsite

    Fredrik Lundh
    Secret Labs AB
    1995; 27 years ago[1]

    1.1.7 / November 15, 2009; 12 years ago[3]

    1.2a0[2] / 2011; 11 years ago

    Python, C
    Library for image processing
    Python Imaging Library license[1]
    www.pythonware.com/products/pil/ 

    PillowOriginal author(s)Initial releaseStable releaseWritten inTypeLicenseWebsite

    Alex Clark
    31 July 2010; 12 years ago[1]

    8.2.0 / April 1, 2021; 17 months ago

    Python, C
    Library for image processing
    Python Imaging Library license[1]
    python-pillow.org

    Python Imaging Library is a free and open-source additional library for the Python programminglanguage that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X andLinux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7.[3]

    Development of the original project, known as PIL, was discontinued in2011.[2] Subsequently, a successor project named Pillow forked the PIL repository and added Python 3.xsupport.[4] This fork has been adopted as a replacement for the original PIL in Linux distributions includingDebian[5] and Ubuntu (since 13.04).[6]

    Capabilities[edit]

    PIL offers several standard procedures for image manipulation. These include:

    • per-pixel manipulations,
    • masking and transparencyhandling,
    • image filtering, such as blurring, contouring, smoothing, or edge finding,
    • image enhancing, such as sharpening, adjusting brightness, contrast or color,
    • adding text to images and much more.

    File formats[edit]

    Some of the file formatssupported are PPM, PNG, JPEG, GIF, TIFF, andBMP. It is also possible to create new file decoders to expand the library of file formats accessible.[7]

    Example ofuse[edit]

    This example loads an image from the file system, blurs it, and shows both the original and the blurred image on the screen:

    from PIL import Image, ImageFilter  # Import classes from the library.original_image = Image.open("file.ppm") # Load an image from the file system.blurred_image = original_image.filter(ImageFilter.BLUR) # Blur the image.# Display both images.original_image.show() blurred_image.show()

    This example loads and rotates an image by 180 degrees:

    from PIL import Image # Import Image class from the library.image = Image.open("file.jpg") # Load the image.rotated_image = image.rotate(180) # Rotate the image by 180 degrees.rotated_image.save("file_rotated.jpg") # Save the rotated image.

    This example loads and cropsan image:

    from PIL import Image  # Import Image class from library.image = Image.open("example.jpg")  # Load image.cropped_image = image.crop((100, 100, 250, 250))  # Crop the image.cropped_image.save("example_cropped.jpg")  # Save the image.

    License[edit]

    The Python Imaging Library (PIL) is

     Copyright © 1997-2011 by Secret Labs AB Copyright © 1995-2011 by Fredrik Lundh

    Based on [1]

    References[edit]

  • ^ ab c d“Software License”. Secret Labs AB. Retrieved December 8,2013.
  • ^ ab “effbot / pil-2009-raclette”. Archived from the original on 15 March 2015. Retrieved December 8,2013.
  • ^ ab “Python Imaging Library”. Secret Labs AB. Retrieved December 8,2013.
  • ^“Pillow: a modern fork of PIL”. Retrieved December 8, 2013.
  • ^ “Details of package python-imaging in sid”. packages.debian.org. Software in the Public Interest. Retrieved December 8,2013.
  • ^“Details of package python-imaging in raring”. ubuntu.com. Canonical Ltd. Retrieved December 8,2013.
  • ^“D. Writing Your Own File Decoder”. Effbot.org. Retrieved 2014-01-28.
  • External links[edit]

    • Official website
    • PIL Library reference
    • Python Imaging Library at Wikibooks
    • Pillow (Successor project)
    • PIL Tutorial Examples
    READ  How To Install Windows Media Center On Windows 10

    [/lightweight-accordion]Is PIL and Pillow the same? : What is PIL/Pillow? PIL (Python Imaging Library) is a library for Python that adds a variety of features for image processing. With some user-friendly features added, Pillow is a fork of PIL.
    [lightweight-accordion title=”Read Detail Answer On Is PIL and Pillow the same?”]

    We encounter many digital images in the modern digital world. If we use the Python programming language, there are many image processing libraries that we can use to enhance the image-processing capabilities of digital images.

    Some of the most common image processing libraries are: OpenCV, Python Imaging Library (PIL), Scikit-image, Pillow. However, in this tutorial, we are only focusing on Pillow module and will tryto explore various capabilities of this module.

    Pillow is built on top of PIL (Python Image Library) PIL is one of the important modules for image processing in Python However, the PIL module is not supported since 2011 and doesnt support python 3

    Pillow module gives more functionalities, runs on all major operating system and support for python 3. It supports wide variety of images such as “jpeg”, “png”, “bmp”, “gif”, “ppm”, “tiff”. You can do almost anything on digital imagesusing pillow module. Apart from basic image processing functionality, including point operations, filtering images using built-in convolution kernels, and color space conversions.

    Image Archives

    The Python Imaging Library is best suited for image archival and batch processing applications. Python pillow package can be used for creating thumbnails, converting from one format to another and print images, etc.

    Image Display

    The Tk PhotoImage, BitmapImage, and Windows DIB interfaces, which are compatible with PythonWin and other Windows-based toolkits as well as many other Graphical User Interface (GUI) toolkits, can be used to display images.

    For debugging purposes, there is a show () method to save the image to disk which calls the external display utility.

    Image Processing

    All of the fundamental image processing capabilities are available in the Pillow library. Rotation, transformation, and image sizing are all possible.

    Pillow module allows you to pull some statisticsdata out of image using histogram method, which later can be used for statistical analysis and automatic contrast enhancement.

    Python Pillow – Environment Setup

    How to set up the pillow package on your computer is covered in this chapter.

    Installing pillow package is very easy, especially if you’re installing it using pip.

    Installing Pillow using pip

    To install pillow using pip, just run the below command in your command prompt −

    python -m pip install pippython -m pip install pillow

    In case, if pip and pilloware already installed in your computer, above commands will simply mention the ‘requirement already satisfied’as shown below −

    Python Pillow – Using Image Module

    To display the image, pillow library is using an image class within it. The image module inside pillow package contains some important inbuilt functions like, load images or create new images, etc.

    Opening,rotating and displaying an image

    To load the image, we simply import the image module from the pillow and call the Image.open(), passing the image filename.

    Instead of calling the Pillow module, we will call the PIL module as to make it backward compatible with an older module called Python Imaging Library (PIL). That’s why our code starts with “from PIL import Image” instead of “from Pillow import Image”.

    Next, we’re going to load the image by calling theImage.open() function, which returns a value of the Image object data type. Any modification we make to the image object can be saved to an image file with the save() method. The image object we received using Image.open(), later can be used to resize, crop, draw or other image manipulation method calls on this Image object.

    Example

    Following example demonstrates the rotation of an image using python pillow −

    from PIL import Image#Open image using Image moduleim = Image.open("images/cuba.jpg")#Show actual Imageim.show()#Show rotated Imageim = im.rotate(45)im.show()

    Output

    If you save the aboveprogram as Example py and execute, it displays the original and rotated images using standard PNG display utility, as follows

    Actual image

    Rotated image (45 degrees)

    Attributes of Image Module

    The instance of the Image class has some attributes. Let’stry to understand few of them by example −

    Image.filename

    This function is used to get the file name or the path of the image.

    >>>image = Image.open('beach1.jpg')>>> image.filename'beach1.jpg'

    Image.format

    This function returns file format of the image file like ‘JPEG’, ‘BMP’, ‘PNG’, etc.

    >>> image = Image.open('beach1.jpg')>>>>>> image.format'JPEG'

    Image.mode

    It is used to get the pixel format used by the image. Typical values are “1”, “L”, “RGB” or “CMYK”.

    >>> image.mode'RGB'

    Image.size

    It returns the tuple consist of height & weight of the image.

    >>> image.size(1280, 721)

    Image.width

    It returns only the width of the image.

    >>> image.width1280

    Image.height

    It returns only the height of the image.

    >>> image.height721

    Image.info

    It returns a dictionary holding data associated with the image.

    >>> image.info{'jfif': 257, 'jfif_version': (1, 1), 'dpi': (300, 300), 'jfif_unit': 1, 'jfif_density': (300, 300), 'exif': b"Exif\x00\x00MM\x00*\x00\x00\x00........\xeb\x00\x00'\x10\x00\x00\xd7\xb3\x00\x00\x03\xe8"}

    Image.palette

    It returns the colour palette table, if any.

    >>> image.palette

    Output above − None

    Python Pillow – Working with Images

    This chapter elaborates on topics including how to read and save an image in Pillow.

    Readingan Image

    Reading and writing images using pillow library is very simple, with the help of PIL.Image module function.

    Syntax

    Image.open(fp, mode=’r’)

    Where

    • fp − A filename (string), pathlib.Path object or a file object. The file object must implement read(), seek() and tell() methods and be opened in binary mode.

    • mode − It’s an optional argument, if given, must be ‘r’.

    • Return value − An Image object.

    • Error− If the file cannot be found, or the image cannot be opened and identified.

    Example

    Following is a very simple example, where we are going to open an image of any format (We are using .jpg), display it in a window and then save it (default location) with another file format (.png).

    from PIL import Imageimage = Image.open('beach1.jpg')image.show()image.save('beach1.bmp')image1 = Image.open('beach1.bmp')image1.show()

    In the above example, we import the Image module from PIL library and then, call the Image.open() function to read an image from disk, which returns an imageobject data type. It will automatically determine the type of file by looking at the file content. For reading, the open() function accepts a filename(string), a path object or an image(file) object.

    So, by using the open() function, we are actually reading the image. Image.open() will read the image and get all the relevant information from the image.

    Output

    If you save the aforementioned program as Example. when py and execute are used, the original (is shown. jpg) and re-saved (. BMP) images using the default PNG display tool, as shown below.

    Actual image

    Resaved image (.bmp)

    Saving an Image

    The save() function writes an image to file. Like for reading (open() function), the save() function accepts a filename, a pathobject or a file object that has been opened to write.

    Syntax

    Image.save(fp, format=None, **params)

    Where,

    • fp − A filename (string), pathlib.Path object or file object.

    • format − Optional format override. If omitted, the format to use is determined from the filename extension. If a file object was used instead of a filename, this parameter should always to used.

    • options − Extra parameters to the image writer.

    • Return value −None

    • KeyError − If the output format could not be determined from the file name, use the format option to solve this.

    • IOError − If the file could not be written, the file may have been created, and may contain partial data.

    In short, the above syntax will save the image under the given filename. If no format is specified, then it is based on current filename extension. To provide the additional instructions to the writer, we use keywordoptions.

    image.save('beach1.bmp')

    In the example above, the type of image is saved based on the file extension; for instance, the above will create a bmp file in our current working directory.

    You can also explicitly specify the file type as a second parameter −

    image.save('beach1.gif', 'GIF')

    Python Pillow – Creating Thumbnails

    It’s necessary to have all of the images the same size on occasion. Using the thumbnail() function from the pillow library, one method to accomplish this is to make a thumbnail of each image.

    With this technique, the image is altered to include a miniature version of itself, and it will not be any bigger than the specified size.

    The method calculates an appropriate thumbnail size to preserve the aspect of the image, calls the draft () method to configure the file reader (where applicable) and finally, resizes the image.

    Syntax

    Image.thumbnail(size, resample=3)

    Where,

    • Size − Required size

    • Resample − Optionalresampling filter. It can be one of these PIL.Image.NEAREST, PIL.Image.BILINEAR, PIL.Image.BICUBIC, or PIL.Image.LANCZOS. If omitted, it defaults to PIL.Image.BICUBIC.

    • Returns − None

    Example

    Following example demonstrates the creation of a thumbnail using python pillow −

    from PIL import Imagedef tnails():   try:      image = Image.open('images/cat.jpg')      image.thumbnail((90,90))      image.save('images/thumbnail.jpg')      image1 = Image.open('images/thumbnail.jpg')      image1.show()   except IOError:      passtnails()

    Output

    If you save the aforementioned software as Example. py and execute, it uses the built-in PNG display tool to show the created thumbnail as shown below.

    Originalimage

    Output image

    Python Pillow – Merging Images

    Pillow package allows you to paste an image onto another one. The merge() function accepts a mode and a tuple of images as parameters, and combines them into a single image.

    Syntax

    Image.merge(mode, bands)

    Where,

    • mode − The mode to use for the output image.

    • bands − A sequence containing one single-band image for each band in the output image. All bands must have the same size.

    • Return value − An Image objects.

    Using the merge() function, you can merge the RGB bands of an image as −

    from PIL import Imageimage = Image.open("beach1.jpg")r, g, b = image.split()image.show()image = Image.merge("RGB", (b, g, r))image.show()

    On executing the above piece of code, you can see the original image and the image with merge the RGB bands as shown below−

    Input image

    Output image

    Merging two images

    In the same way, to merge two different images, you need to −

    • Create image object for the required images using the open() function.

    • While merging two images, you need to make surethat both images are of same size. Therefore, get each sizes of both images and if required, resize them accordingly.

    • Create an empty image using the Image.new() function.

    • Paste the images using the paste() function.

    • Save and display the resultant image using the save() and show() functions.

    Example

    Following example demonstrates the merging of two images using python pillow −

    from PIL import Image#Read the two imagesimage1 = Image.open('images/elephant.jpg')image1.show()image2 = Image.open('images/ladakh.jpg')image2.show()#resize, first imageimage1 = image1.resize((426, 240))image1_size = image1.sizeimage2_size = image2.sizenew_image = Image.new('RGB',(2*image1_size[0], image1_size[1]), (250,250,250))new_image.paste(image1,(0,0))new_image.paste(image2,(image1_size[0],0))new_image.save("images/merged_image.jpg","JPEG")new_image.show()

    Output

    If you save the aboveprogram as Example.py and execute, it displays the two input images and the merged image using standard PNG display utility, as follows −

    Input image1

    Input image2

    Merged image

    Python Pillow – Blur an Image

    Applying a filter to an image will lower the amount of noise in the image, which will blur the image. One of the crucial components of image processing is image blurring.

    The ImageFilter class in the Pillow library provides several standard image filters. Image filters can be applied to an image by calling the filter() method of Image object with required filter type as defined in the ImageFilter class.

    There are various techniques used to blur images and we are going to discuss the below mentioned techniques.

    • Simple blur

    • Box blur

    • Gaussian blur

    All these three techniques are going to use ‘Image.filter()’ method for applying the filter to images.

    Simple blur

    It applies a blurring effect on to the image as specified through a specific kernel or a convolution matrix.

    Syntax

    filter(ImageFilter.BLUR)

    Example

    #Import required Image libraryfrom PIL import Image, ImageFilter#Open existing imageOriImage = Image.open('images/boy.jpg')OriImage.show()blurImage = OriImage.filter(ImageFilter.BLUR)blurImage.show()#Save blurImageblurImage.save('images/simBlurImage.jpg')

    Onexecuting, the above example generates the two standard PNG display utility windows (in this case windows Photos app).

    Original image

    Blurred image

    Box blur

    In this filter, we use ‘radius’ as parameter. Radius is directlyproportional to the blur value.

    Syntax

    ImageFilter.BoxBlur(radius)

    Where,

    • Radius − Size of the box in one direction.

    • Radius 0 − means no blurring & returns the same image.

    • RRadius 1 &minnus; takes 1 pixel in each direction, i.e. 9 pixels in total.

    Example

    #Import required Image libraryfrom PIL import Image, #Open existing imageOriImage = Image.open('images/boy.jpg')OriImage.show()#Applying BoxBlur filterboxImage = OriImage.filter(ImageFilter.BoxBlur(5))boxImage.show()#Save Boxblur imageboxImage.save('images/boxblur.jpg')

    Output

    After being executed, the aforementioned example creates the two typical PNG display utility windows (in this case, the Windows Photos app).

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    Originalimage

    Blurred image

    Gaussian Blur

    This filter also uses parameter radius and does the same work as box blur with some algorithmic changes. In short, changing the radius value, will generate different intensity of ‘Gaussianblur’ images.

    Syntax

    ImageFilter.GaussianBlur(radius=2)

    Where,

    • Radius – Blur radius

    Example

    #Import required Image libraryfrom PIL import Image, ImageFilter#Open existing imageOriImage = Image.open('images/boy.jpg')OriImage.show()#Applying GaussianBlur filtergaussImage = OriImage.filter(ImageFilter.GaussianBlur(5))gaussImage.show()#Save Gaussian Blur ImagegaussImage.save('images/gaussian_blur.jpg')

    Output

    On executing, the above example generates the two standard PNG display utility windows (in this case windows Photos app).

    Original image

    Blurred image

    Python Pillow – Cropping an Image

    One of the crucial steps in image processing is cropping, which lets you take out unwanted areas of an image and add in necessary details. For uploading images, it is a widely used process in web applications.

    The crop() function of the image class in Pillow requires the portion to be cropped as rectangle. The rectangle portionto be cropped from an image is specified as a four-element tuple and returns the rectangle portion of the image that has been cropped as an image Object.

    Example

    Following example demonstrates how to rotate an image using python pillow −

    #Import required Image libraryfrom PIL import Image#Create an Image Object from an Imageim = Image.open('images/elephant.jpg')#Display actual imageim.show()#left, upper, right, lowe#Cropcropped = im.crop((1,2,300,300))#Display the cropped portioncropped.show()#Save the cropped imagecropped.save('images/croppedBeach1.jpg')

    Output

    If you save the above program as Example.py and execute, it displays the original and cropped images using standard PNG display utility, as follows −

    Original image

    Cropped image

    Python Pillow – Flip and Rotate Images

    When working with images using the Python image processing library, there are times when you need to flip an existing image to gain additional insights from it, to improve its visibility, or for another reason.

    Image module of the pillow library allows us to flip an image very easily. We are going to use the transpose (method) function from the Image module for flipping the images. Some of the mostly commonly used methods supported by ‘transpose()’ are −

    • Image.FLIP_LEFT_RIGHT − For flipping the image horizontally

    • Image.FLIP_TOP_BOTTOM − For flipping the image vertically

    • Image.ROTATE_90 − For rotating the image byspecifying degree

    Example 1: Horizontally flipped Image

    Following Python example reads an image, flips it horizontally, and displays the original and flipped image using standard PNG display utility −

    # import required image modulefrom PIL import Image# Open an already existing imageimageObject = Image.open("images/spiderman.jpg")# Do a flip of left and righthori_flippedImage = imageObject.transpose(Image.FLIP_LEFT_RIGHT)# Show the original imageimageObject.show()# Show the horizontal flipped imagehori_flippedImage.show()

    Output

    Original image

    Flipped image

    Example 2: Vertically Flipped Image

    Following Python example reads an image, flips it vertically, and displays the original and flipped image using standard PNG display utility −

    # import required image modulefrom PIL import Image# Open an already existing imageimageObject = Image.open("images/spiderman.jpg")# Do a flip of left and righthori_flippedImage = imageObject.transpose(Image.FLIP_LEFT_RIGHT)# Show the original imageimageObject.show()# Show vertically flipped imageVert_flippedImage = imageObject.transpose(Image.FLIP_TOP_BOTTOM)Vert_flippedImage.show()

    Output

    Original Image

    Flipped Image

    Example 3: Rotate Image to a specific degree

    Following Python example reads an image, rotates to a specified degree, and displays the original and rotated image using standard PNG display utility −

    # import required image modulefrom PIL import Image# Open an already existing imageimageObject = Image.open("images/spiderman.jpg")# Do a flip of left and righthori_flippedImage = imageObject.transpose(Image.FLIP_LEFT_RIGHT)# Show the original imageimageObject.show()#show 90 degree flipped imagedegree_flippedImage = imageObject.transpose(Image.ROTATE_90)degree_flippedImage.show()

    Output

    Original Image

    RotatedImage

    Python Pillow – Resizing an Image

    Most of the digital image is a two-dimensional plane of pixels and it has a width and height. The Image module from pillow library has an attribute size. This tuple consists of width and height of the image as its elements. To resize an image, you call the resize() method of pillow’s image class by giving width and height.

    Resizeand save the resized image

    The program for resizing and saving the resized image is given below −

    #Import required Image libraryfrom PIL import Image#Create an Image Object from an Imageim = Image.open("images/cat.jpg")#Display actual imageim.show()#Make the new image half the width and half the height of the original imageresized_im = im.resize((round(im.size[0]*0.5), round(im.size[1]*0.5)))#Display the resized imagedresized_im.show()#Save the cropped imageresized_im.save('resizedBeach1.jpg')

    Output

    If you save the above program as Example py and execute, it displays the original and resized images using standard PNG display utility, as follows

    Original Image

    Resized Image

    Python Pillow – Creating a Watermark

    Some of the photos posted online have watermarks, as you may have noticed. Adding a watermark to your images is unquestionably one of the best ways to prevent unauthorized use. In order to prevent unauthorized use of your creative photos on social media, it is also advised to add a watermark before sharing them.

    A watermark is typically some text or a logo that is superimposed on a photograph to indicate who took it or who owns the rights to it.

    Pillow package allows us to add watermarks to your images. For adding watermark to our image, we need “Image”, “ImageDraw” and “ImageFont” modules from pillow package.

    The ‘ImageDraw’ module adds functionality to draw 2D graphics onto new or existing images. The ‘ImageFont’ module is employed for loading bitmap, TrueType and OpenType font files.

    Example

    Following pythonprogram demonstrates how to add watermark to an image using python pillow −

    #Import required Image libraryfrom PIL import Image, ImageDraw, ImageFont#Create an Image Object from an Imageim = Image.open('images/boy.jpg')width, height = im.sizedraw = ImageDraw.Draw(im)text = "sample watermark"font = ImageFont.truetype('arial.ttf', 36)textwidth, textheight = draw.textsize(text, font)# calculate the x,y coordinates of the textmargin = 10x = width - textwidth - marginy = height - textheight - margin# draw watermark in the bottom right cornerdraw.text((x, y), text, font=font)im.show()#Save watermarked imageim.save('images/watermark.jpg')

    Output

    Suppose, following is the input image boy.jpg located in the folder image.

    If you look at the output folder after running the aforementioned program, the resultant watermark will be visible. Below is an example of a jpg file with a watermark.

    Python Pillow – Adding Filters to an Image

    The ImageFilter module contains definitions for a pre-defined set of filters, which we used with Image.filter() method. These filters are used to change the looks and feel of the image.

    Example

    Below example is Filtering an image −

    from PIL import Image, ImageFilterim = Image.open('jungleSaf2.jpg')im1 = im.filter(ImageFilter.BLUR)im1.show()im2 = im.filter(ImageFilter.MinFilter(3))im2.show()im3 = im.filter(ImageFilter.MinFilter) # same as MinFilter(3)im3.show()

    In above program, we have used the MinFilter() method, which is used to create aminimum filter. It picks the lowest pixel value in a window with the given size.

    ImageFilter.MinFilter(size=3)

    Where,

    size − The kernel size, in pixels.

    Output

    The original image, the blurred image, and the blurred image with MinFilter are displayed as follows when the aforementioned program is saved and run.

    Original Image

    BlurredImage

    Image blurred with mini filter

    Filters

    The current version of pillow library provides below mentioned set of predefined image enhancement filters.

    • BLUR

    • CONTOUR

    • DETAIL

    • EDGE_ENHANCE

    • EDGE_ENHANCE_MORE

    • EMBOSS

    • FIND_EDGES

    • SHARPEN

    • SMOOTH

    • SMOOTH_MORE

    Example

    Following python example applies the blur filter on an image saves it and, displays it using standard PNG display utility −

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(BLUR)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    In the same way, to theimage.filter() method you can pass any of the following parameters to get respective outputs −

    • CONTOUR

    • DETAIL

    • EDGE_ENHANCE

    • EDGE_ENHANCE_MORE

    • EMBOSS

    • FIND_EDGES

    • SMOOTH

    • SMOOTH_MORE

    • SHARPEN

    Python img.filter(CONTOUR) method

    Following python example applies CONTOUR filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(CONTOUR)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the aforementioned program and run it, the filtered image and the original image are displayed using a standard PNG display tool as follows.

    Original image

    Filtered image

    Python img.filter(DETAIL) method

    Following python example appliesDETAIL filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(DETAIL)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    The original image and the filtered image are displayed using a standard PNG display tool as follows if the aforementioned program is saved and run.

    Original image

    Filtered image

    Python img.filter(EDGE_ENHANCE) method

    Following python example applies EDGE_ENHANCE filter to the given image −

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(EDGE_ENHANCE)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the above program and execute, it shows the original image, and the filtered image using standard PNG display utility, as follows

    Original image

    Filtered image

    Python img.filter(EDGE_ENHANCE_MORE) method

    Following python example applies EDGE_ENHANCE_MORE filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(EDGE_ENHANCE_MORE)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the above program and execute, it shows the original image, and the filtered image using standard PNG display utility, as follows

    Original image

    Filtered image

    Python img.filter(EMBOSS) method

    Following python example applies EMBOSS filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(EMBOSS)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the above program and execute, it shows the original image and, the filtered image usingstandard PNG display utility, as follows

    Original image

    Filtered image

    Python img.filter(FIND_EDGES) method

    Following python example applies FIND_EDGES filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(FIND_EDGES)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    The original image and the filtered image are displayed using a standard PNG display program as follows if the aforementioned program is saved and run.

    Original image

    Filtered image

    Python img.filter(SMOOTH) method

    Following python example applies SMOOTHfilter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(SMOOTH)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    The original image and the filtered image are displayed using a standard PNG display tool as follows if the aforementioned program is saved and run.

    Original image

    Filtered image

    Pythonimg.filter(SHARPEN) method

    Following python example applies SHARPEN filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(SHARPEN)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the above program and execute, it shows the original image and, the filtered image using standard PNG display utility, as follows

    Original image

    Filtered image

    Following python example applies SHARPEN filter to the given image.

    Example

    #Import required image modulesfrom PIL import Image, ImageFilter#Import all the enhancement filter from pillowfrom PIL.ImageFilter import (   BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EDGE_ENHANCE_MORE,   EMBOSS, FIND_EDGES, SMOOTH, SMOOTH_MORE, SHARPEN)#Create image objectimg = Image.open('images/cat.jpg')#Applying the blur filterimg1 = img.filter(SHARPEN)img1.save('images/ImageFilter_blur.jpg')img1.show()

    Output

    If you save the above program and execute, it shows the original image and, the filtered image using standard PNG display utility, as follows

    Original image

    Filtered image

    Python Pillow – Colors on an Image

    The ImageColor module contains colors in different format arranged in tables and it also contains converters from CSS3-style color specifiers to RGB tuples.

    Color Names

    The ImageColor module supports the following strings formats −

    • Hexadecimal color specifiers, given as #rgbor #rrggbb. For example, #00ff00 represents pure green.

    • #00ff00 hex color, red value is 0 (0% red), green value is 255(100% green) and the blue value of its RGB is 0 (0% blue).

    • Cylindrical – coordinate representations (also referred to as HSL) of color #00ff00 hue: 0.33, saturation: 1.00 and also the lightness value of 00ff00 is 0.50.

    • The Image Color module provides around 140 standard color names, based on the color’s supported by the X Window systemand most web browsers. Color names are case insensitive.

    ImageColor.getrgb() Method

    Convert a color string to an RGB tuple. If the string cannot be parsed, a ValueError exception is raised by this function.

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    Syntax

    PIL.ImageColor.getrgb(color)

    Where,

    • Arguments: color – A color string

    • Return Value: (red, green, blue[, alpha])

    Example 1

    from PIL import ImageColor# using getrgbimg = ImageColor.getrgb("blue")print(img)img1 = ImageColor.getrgb("purple")print(img1)

    Output

    (0, 0, 255)(128, 0, 128)

    Example 2

    #Import required image modulesfrom PIL import Image,ImageColor# Create new image & get color RGB tuple.img = Image.new("RGB", (256, 256), ImageColor.getrgb("#add8e6"))#Show imageimg.show()

    Output

    ImageColor. getcolor() Method

    This method is same as getrgb(), however, converts the RGB value to a greyscale value, if the mode isn’t The graphics commands support shape drawing and text annotation color or a palette image. If the string cannot be parsed, this function raises a ValueError exception.

    Syntax

    PIL.ImageColor.getcolor(color, mode)

    Where,

    • Arguments – A color string

    • Return Value – (graylevel[, alpha]) or (red, green, blue[, alpha])

    Example

    #Import required image modulesfrom PIL import Image,ImageColor# using getrgbimg = ImageColor.getrgb("skyblue")print(img)img1 = ImageColor.getrgb("purple")print(img1)

    Output

    (135, 206, 235)(128, 0, 128)

    Python Pillow – ImageDraw Module

    The ‘ImageDraw’ module provides simple 2D graphics support for Image Object. Generally, we use this module to create new images, annotate or retouch existing images and to generate graphics on the fly for web use.

    The graphics commands support the drawing of shapes and annotation of text.

    • Animage can be well-thought-out to be a two-dimensional array of pixels (picture elements). A pixel is the smallest dot of color being supported.

    • The origin of the two-dimensional co-ordinate system used by ImageDraw, is in the upper left corner of the image.

    • The pillow color schemes we use is RGB. The color RGB representation and support is provided by the module ImageColor.

    • bitmap, OpenType or TrueType are the acceptable fonts for textannotations.

    • Most of the drawing commands may require a bounding box parameter that specifies the area on the image to which the command is to be applied.

    • A sequence of co-ordinates can be represented as [ (x0, y0), (x1, y1),…(xn, yn)].

    • For some drawing commands, we require angle values.

    Example

    Following python example draws a line across the given image −

    #Import required librariesimport sysfrom PIL import Image, ImageDraw#Create Image objectim = Image.open("images/logo.jpg")#Draw linedraw = ImageDraw.Draw(im)draw.line((0, 0) + im.size, fill=128)draw.line((0, im.size[1], im.size[0], 0), fill=128)#Show imageim.show()

    Output

    If you save the program mentioned above as Example. After pyand execute, the image is marked with a line and shown using a PNG display program as shown below.

    Canvas

    • An ImageDraw is a Pillow drawable surface (i.e., a canvas) of an Image.

    • ImageDraw.Draw(img) returns a drawable canvas representation of Image parameter img. The background of the canvas is the “img” image.

    Example

    Followingpython example draws text on the given image −

    #Import required modules from Pillow packagefrom PIL import Image, ImageDraw, ImageFont# get an imagebase = Image.open('images/boy.jpg').convert('RGBA')# make a blank image for the text, initialized to transparent text colortxt = Image.new('RGBA', base.size, (255,255,255,0))# get a fontfnt = ImageFont.truetype('E:/PythonPillow/Fonts/Pacifico.ttf', 40)# get a drawing contextd = ImageDraw.Draw(txt)# draw text, half opacityd.text((14,14), "Tutorials", font=fnt, fill=(255,255,255,128))# draw text, full opacityd.text((14,60), "Point", font=fnt, fill=(255,255,255,255))out = Image.alpha_composite(base, txt)#Show imageout.show()

    Output

    Drawing Shapes using ‘ImageDraw’ module

    ImageDraw module allows us to create different shapes by first creating a drawing object with the image you want to work with and then apply it. Some of the common shapes we can draw using ‘ImageDraw’ module are as follows −

    Line

    Following is, the syntax to draw a lineusing python pillow −

    draw.line(xy, fill=None, width=0)

    The line() method draws a line from the upper left to lower right corners of bounding box xy and canvas. The line is filled using color fill. Default values of None and 0 respectively are for the parameters fill and width which are optional.

    Example

    from PIL import Image, ImageDrawimg = Image.new('RGB', (500, 300), (125, 125, 125))draw = ImageDraw.Draw(img)draw.line((200, 100, 300, 200), fill=(0, 0, 0), width=10)img.show()

    Output

    Eclipse

    Following is, the syntax to draw an ellipse using python pillow−

    draw.ellipse(xy, fill=None, outline=None)

    The ellipse() method draws the ellipse surrounded by bounding box xy on draw. The shape is filled using color fill and the perimeter in color outline. Default values of None are for the parameters fill and width which are optional.

    Example

    from PIL import Image, ImageDrawimg = Image.new('RGB', (500, 300), (125, 125, 125))draw = ImageDraw.Draw(img)draw.ellipse((200, 125, 300, 200), fill=(255, 0, 0), outline=(0, 0, 0))img.show()

    Output

    Rectangle

    Following is, the syntax to draw a rectangle using python pillow −

    draw.rectangle(xy, fill=None, outline=None)

    Therectangle() method draws the rectangle given bounding box xy on draw. The shape is filled using color fill and the perimeter in color outline. Default values of None are for the parameters fill and width which are optional.

    from PIL import Image, ImageDrawimg = Image.new('RGB', (500, 300), (125, 125, 125))draw = ImageDraw.Draw(img)draw.rectangle(   (200, 125, 300, 200),   fill=(255, 0, 0),   outline=(0, 0, 0))img.show()

    Output

    Polygon

    Following is, the syntax to draw a rectangle using python pillow −

    draw.polygon(seq, fill=None, outline=None)

    The polygon() method draws a polygonconnecting with straight lines the co-ordinate sequence locations seq on draw. The first and last co-ordinates in seq are also connected by a straight-line. The shape is filled using color fill and the perimeter in color outline. Parameters fill and outline are optional with default values None.

    from PIL import Image, ImageDrawimg = Image.new('RGB', (500, 300), (125, 125, 125))draw = ImageDraw.Draw(img)draw.polygon(   ((200, 200), (300, 100), (250, 50)),   fill=(255, 0, 0),   outline=(0, 0, 0))img.show()

    Output

    Python Pillow – Image Sequences

    The Python Imaging Library (PIL)contains some basic support for Image sequences (animation formats) FLI/FLC, GIF and a few experimental formats are the supported sequence formats TIFF files can contain more than one frame as well

    Opening a sequence file, PIL automatically loads the first frame in the sequence. To move between different frames, you can use the seek and tell methods.

    from PIL import Imageimg = Image.open('bird.jpg')#Skip to the second frameimg.seek(1)try:   while 1:      img.seek(img.tell() + 1)      #do_something to imgexcept EOFError:   #End of sequence   pass

    Output

    raise EOFErrorEOFError

    As we can see above, when the sequence ends, you’ll get an EOFError exception.

    Most drivers in thelatest version of library only allow you to seek to the next frame (as in above example), to rewind the file, you may have to reopen it.

    A sequence iterator class

    class ImageSequence:   def __init__(self, img):      self.img = img   def __getitem__(self, ix):      try:         if ix:            self.img.seek(ix)         return self.img      except EOFError:         raise IndexError # end of sequencefor frame in ImageSequence(img):   # ...do something to frame...

    Python Pillow – Writing Text on Image

    You can write text on images by passing the location of the text, the text itself and the color of the text. We can pass multiple other parameters to this method.

    Example

    from PIL import Image, ImageDrawimg = Image.open(beach1.jpg')d1 = ImageDraw.Draw(img)d1.text((28, 36), "Hello, TutorialsPoint!", fill=(255, 0, 0))img.show()img.save("images/image_text.jpg")

    Input

    Output

    If you save the above program as Example py and execute, it will add the given text on it, and displays it using the standard PNG display utility, as follows

    Selecting the font

    There are numerous ways to select the font used for writing on theimage. We can either load fonts directly from the system by passing the full path to the function, or we can use the ImageFont to load a TrueType font.

    Example

    from PIL import Image, ImageDraw, ImageFontimg = Image.open('images/logo.jpg')d1 = ImageDraw.Draw(img)myFont = ImageFont.truetype('E:/PythonPillow/Fonts/FreeMono.ttf', 40)d1.text((0, 0), "Sample text", font=myFont, fill =(255, 0, 0))img.show()img.save("images/image_text.jpg")

    Output

    Python Pillow – M L with Numpy

    The python imaging library pillow is used in this chapter to store and process image data using numpy.

    Before proceeding with this chapteropen command prompt in administrator mode and execute the following command in it to install numpy −

    pip install numpy

    Note − This works only if you have PIP installed and updated.

    Creating image from Numpy Array

    Creating an RGB image using PIL and save it as a jpg file. In the following example we will −

    • Create a 150 by 250-pixel array.

    • Fill left half of the array with orange.

    • Fill right half of the array with blue.

    from PIL import Imageimport numpy as nparr = np.zeros([150, 250, 3], dtype=np.uint8)arr[:,:100] = [255, 128, 0]arr[:,100:] = [0, 0, 255]img = Image.fromarray(arr)img.show()img.save("RGB_image.jpg")

    Output

    Creating greyscale images

    Creating greyscale images is slightly different from creating an RGB image. We can use the 2-dimensional array to create a greyscale image.

    from PIL import Imageimport numpy as nparr = np.zeros([150,300], dtype=np.uint8)#Set grey value to black or white depending on x position   for x in range(300):      for y in range(150):         if (x % 16) // 8 == (y % 16)//8:            arr[y, x] = 0         else:            arr[y, x] = 255img = Image.fromarray(arr)img.show()img.save('greyscale.jpg')

    Output

    Creating numpy array from an Image

    You can convert PIL image tonumpy array and vice versa. A small program to demonstrate the same is stated below.

    Example

    #Import required librariesfrom PIL import Imagefrom numpy import array#Open Image & create image objectimg = Image.open('beach1.jpg')#Show actual imageimg.show()#Convert an image to numpy arrayimg2arr = array(img)#Print the arrayprint(img2arr)#Convert numpy array back to imagearr2im = Image.fromarray(img2arr)#Display imagearr2im.show()#Save the image generated from an arrayarr2im.save("array2Image.jpg")

    Output

    If you save the above program as Example.py and execute −

    • It displays the original image.

    • Displays the array retrieved from it.

    • Converts the array back into image and displays it.

    • Since we have used show() method the images are displayed using the default PNG display utility, as follows.

    [[[ 0 101 120][ 3 108 127][ 1 107 123]......[[ 38 59 60][ 37 58 59][ 36 57 58]...[ 74 65 60][ 59 48 42][ 66 53 47]][[ 40 61 62][ 38 59 60][ 37 58 59]...[ 75 66 61][ 72 61 55][ 61 48 42]][[ 40 61 62][ 34 55 56][ 38 59 60]...[ 82 73 68][ 72 61 55][ 63 52 46]]]

    OriginalImage

    Image constructed from the array

    [/lightweight-accordion]

    Additional Question — Is PIL included in Python?

    Which is better OpenCV or Pillow?

    Just based on this information, OpenCV appears to be faster than PIL because it is written in C and C as opposed to Python and C for PIL. The extraction of data from thousands of images requires quick processing.

    Does Python install pip?

    Python 2 comes with a built-in PIP installation. 7. and Python 3. 4 and includes the virtual environments virtualenv and pyvenv.

    What are the three types of pillows?

    Every Sleeping Position Covered by 12 Different Types of PillowsDown Pillow. The soft fibers that are closest to a goose, duck, or swan’s skin are used to make down pillows. Pillow without down. Feathers Pillow Polyester Pillow. The latex pillow. Pillow with memory foam. memory foam pillow with shreds. Bamboo Pillow

    What is the use of pillow in Python?

    To display the image, the image class in the Python pillow library is used. A few built-in features, including the ability to load images or generate new images, are available in the pillow package’s image modules.

    What is pillow in Django?

    The Python Imaging Library can be easily and effectively replaced by Pillow. It must be altered to import the Imaging module from the PIL namespace rather than the global namespace in order to run your existing PIL-compatible code with Pillow. I. e. import Image as a change. import Image from PIL to:

    Why are pillows called pillows?

    The words “pillow” come from Latin pulvinus, Middle English pilwe, and Old English pyle (which is related to Old High German pfuliwi). Before the 12th century, the word “pillow” was first used.

    How did humans sleep before pillows?

    Before the days of Tempur-Pedic and Casper, humans slept on makeshift sleeping surfaces like piles of straw As society advanced, primitive mattresses were fashioned out of stuffed fabrics, and down was introduced Bedframes came much later but have still been around since the ancient Egyptians era

    How did geishas sleep?

    Geisha and maiko sleep on their sides with their heads balanced on takamakura, a specially shaped hard, high pillow that supports their neck but leaves their hair untouched. Shinaka, who left school earlier this year, won’t be back for at least another week.

    Do humans need pillows?

    Pillows are crucial because they help the head stay in alignment with the neck and backbone while you sleep. A person may experience nighttime awakenings if their neck or spine are not in a neutral position, which will reduce their amount of sleep.

    Is it better to sleep without a bra?

    Just like there are no major benefits to sleeping with a bra, there are also no major negative consequences to sleeping in one No published data says there is any detriment to sleeping in a bra, such as breast cancer effects, bad blood circulation, or stunted breast growth, says Samuels

    Is it better to sleep with or without a bra?

    There’s nothing wrong with wearing a bra while you sleep if that’s what you’re comfortable with Sleeping in a bra will not make a girl’s breasts perkier or prevent them from getting saggy And it will not stop breasts from growing or cause breast cancer

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