Here, we will discuss about image transformation: geometrical, color, point some image thresholding, image enhancement buy applying filters, editing GIF, drawing on an image, image conversion and modification in bulk and rolling image using PIL.Pillow is a fork of PIL- Python Imaging Library that will support Python 3.x.
Installing pillow library:
pip install PILThe important class of the library: Image
Opening the image and getting details about it.
from PIL import Image
im = Image.open('simpson.png')
print(im.size, im.mode, im.format)
#(1600, 1200) RGBA PNG
im.show()
#To open the image
As you can see from the comand:
print(im.size, im.mode, im.format)
#(1600, 1200) RGBA PNG
the image has a RGBA color profile. We can convert it to jpeg only after converting it to RGB:
rgb_im = im.convert('RGB')
rgb_im.save('simpson_new.jpg')
Rotate an image:
from PIL import Image
import os
im = Image.open('simpson.png')
im = im.rotate(45) # rotate the object im 45 degrees
rgb_im = im.convert('RGB')
rgb_im.save('simpson_45.jpg')
im.close()
You can resize the image through the resize command:
from PIL import Image
import os
im = Image.open('simpson.png')
rx = int(im.width/10)
ry = int(im.height/10)
im=im.resize((rx,ry)) #rx and ry are new pixel of image
rgb_im = im.convert('RGB')
rgb_im.save('simpson_resized.jpg')
im.close()
Add a text to immage:
from PIL import Image, ImageDraw, ImageFont
import os
im = Image.open('simpson.png')
d1 = ImageDraw.Draw(im)
myFont = ImageFont.truetype('Monofur/monofur bold Nerd Font Complete Mono Windows Compatible.ttf', 140)
d1.text((650,700), 'Hello World', font=myFont, fill=(255,255,0))
im.save('simpson_hello.png')
im.close()
Crop and paste the parts of the image:
from PIL import Image
import os
#path = # path of the image that you won't to open
#os.chdir(path)
im = Image.open('simpson.png')
print(im.size, im.mode, im.format)
#(1600, 1200) RGBA PNG
box = (531,38,957,434) #Two points of a rectangle to be cropped
cropped_part = im.crop(box)
cropped_part = cropped_part.transpose(Image.ROTATE_180)
im.paste(cropped_part,box)
im.show()
#To open the image
checksum: 38957cccdef0229b17dfce1dfb41c983f71f59d88a0e338d8718d21943258cae965609e9d16032c9fa87a0271e120d2c465784b7048fa0c9cd7dfecbe94e7680