# 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.
abunkahle@t-online.de

# 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
