PILasOPENCV 1.1

Wrapper for Image functions which are used and called in the manner of the famous PIL/Pillow module but work internally with OpenCV.

# PILasOPENCV Wrapper for Image functions which are used and called in the manner of the famous PIL module but work internally with OpenCV.

This library can be used to migrate old PIL projects to OPENCV.

You install this module with

pip install PILasOPENCV

or you donwload the module and install it with:

python setup.py install

and then you change the import command at the beginning of your project files from

from PIL import Image

or

import PIL.Image

or

import PIL.Image as Image

to

import PILasOPENCV as Image

Internally no PIL or Pillow library is used anymore but the opencv module for doing all the graphical work.

Sample script:

from __future__ import print_function import PILasOPENCV as Image # was: from PIL import Image

im = new(“RGB”, (512, 512), “white”) im.show()

testfile = “lena.jpg” im = open(testfile) print (type(im)) # JPEG (512, 512) RGB im.save(“lena.bmp”) im.show() small = im.copy() small.thumbnail(thsize) small.show() thsize = (128, 128) box = (100, 100, 400, 400) region = im.crop(box) print(“region”,region.format, region.size, region.mode) # region = region.transpose(Image.ROTATE_180) region = region.transpose(ROTATE_180) region.show() im.paste(region, box) im.show()

# Export CV2/Numpy images You can export the cv2/numpy image from an Image instance with the command getim():

from __future__ import print_function import PILasOPENCV as Image import cv2 im = Image.open(“lena.jpg”) numpy_image = im.getim() print(type(numpy_image), numpy_image.shape) cv2.imshow(“numpy_image”, numpy_image) cv2.waitKey(0)

# Attention: This is a very unstable development version. Use with care. Not much testing has been done to it though tests have been done. They can be found in the tests directory.

# TO DO: ImageMode, ImageColor, ImageDraw are, ImageFilter, ImageChops are implemented but have not been fully tested. Some functions/methods of these classes are missing and are not implemented though. If you want to import them, import them with:

import PILasOPENCV as ImageMode import PILasOPENCV as ImageColor import PILasOPENCV as ImageDraw import PILasOPENCV as ImageFilter import PILasOPENCV as ImageChops import PILasOPENCV as ImageFont

The PIL classes ImageEnhance, ImageFile, ImageFileIO, ImageGrab, ImageMath, ImageOps, ImagePath, ImageQt, ImageSequence, ImageStat, ImageTk, ImageWin, ImageGL have not been implemented.

If you want to use the methods getsize and getmask from ImageFont you have to use them differently:

from __future__ import print_function import PILasOPENCV as Image import PILasOPENCV as ImageDraw import PILasOPENCV as ImageFont import cv2 # from PIL import Image, ImageDraw, ImageFont

font = ImageFont.truetype(“ARIAL.ttf”.lower(), 18) im = Image.open(“lena.jpg”) draw = ImageDraw.Draw(im) text = “Lena’s image” draw.text((249,455), text, font=font, fill=(0, 0, 0)) # in PIL: # print(font.getsize(text)) # mask = font.getmask(text) print(ImageFont.getsize(text, font)) mask = ImageFont.getmask(text, font) print(type(mask)) cv2.imshow(“mask”, mask) im.show()

If you want to fork this project, feel free to do so. Give me a message in case you are forking and improving the code. [e-mail]

# Dependencies: You need to have numpy, opencv and freetype installed to run the module. Install it with

pip install numpy opencv-python freetype-py

# Licence MIT