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piltest_.idea_misc.xml

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piltest_.idea_other.xml

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piltest_.idea_piltest.iml

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piltest_image_convert.py

import os
import myutils as ut
from PIL import Image
'''
@para path: <string> Directory where images you want to covert in
@para outpath: <string> Directory where you want to put the converted file in
'''
# From jpg to png
def jpg2png(path, outpath):
    imlist = ut.get_imlist(path, ".jpg")
    # Check whether outpath exists
    try:
        assert(os.path.exists(outpath))
    except:
        print("{0} path not exists".format(outpath))
    # Format outpath
    for i in imlist:
        fname = os.path.join(outpath, os.path.splitext(os.path.split(i)[-1])[0] + ".png")
        try:
            Image.open(i).save(fname)
        except Exception as e:
            print("Cannot convert file {0} due to error: {1}".format(i, e))
        else:
            print("{0} converted".format(i))

# From png to jpg
def png2jpg(path, outpath):
    imlist = ut.get_imlist(path, ".png")
    # Check whether outpath exists
    try:
        assert(os.path.exists(outpath))
    except:
        print("{0} path not exists".format(outpath))
    for i in imlist:
        fname = os.path.join(outpath, os.path.splitext(os.path.split(i)[-1])[0] + ".jpg")
        try:
            Image.open(i).convert("RGB").save(fname)
        except Exception as e:
            print("Cannot convert file {0} due to {1}".format(i, e))
        else:
            print("{0} converted".format(i))


if __name__ == "__main__":
    png2jpg("images", "converted")

piltest_image_process.py

from PIL import Image
from numpy import *
from scipy import ndimage
'''
First implement: use numpy to convert image to an array, then rebuild an image copy from this array
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to copy 
'''
# def copy(im):
#     imdata = array(im)
#     clone = Image.fromarray(imdata)
#     clone.show()
#     return clone


'''
Second implement: use nested-loop to iterate each pixel
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to copy 
'''
def copy(im):
    width, height = im.size
    clone = Image.new(im.mode, im.size)
    for i in range(width):
        for j in range(height):
            pixel = im.getpixel((i,j))
            clone.putpixel((i,j), pixel)
    clone.show()
    return clone

'''
First implement: use numpy to convert image to an array, then rebuild an image copy from this array
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to copy 
@para crop_box: <tuple> a 4d tuple include two point (x1, y1,   x2, y2)
'''
def crop(im, crop_box):
    x1, y1, x2, y2 = crop_box
    x1, x2 = x1 > x2 and (x2, x1) or (x1, x2)
    y1, y2 = y1 > y2 and (y2, y1) or (y1, y2)
    # Judge whether input is valid
    if x2 > im.size[0] or y2 > im.size[1] or x1 < 0 or y1 < 0:
        print("position overlap")
        return None
    imdata = array(im)
    print(x1,y1,x2,y2)
    croped_data = imdata[y1: y2, x1: x2]
    croped = Image.fromarray(croped_data)
    croped.show()
    return croped

'''
Second implement: use nested-loop to iterate each pixel
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to crop 
@para crop_box: <tuple> a 4d tuple include two point (x1, y1,   x2, y2)
'''
# def crop(im, crop_box):
#     w, h = im.size
#     x1, y1, x2, y2 = crop_box
#     x1, x2 = x1 > x2 and (x2, x1) or (x1, x2)
#     y1, y2 = y1 > y2 and (y2, y1) or (y1, y2)
#     # Judge whether input is valid
#     if x2 > w or y2 > h or x1 < 0 or y1 < 0:
#         print("position overlap")
#         return None
#
#     croped = Image.new(im.mode, (x2 - x1, y2 - y1))
#     for i in range(x1, x2):
#         for j in range(y1, y2):
#             pixel = im.getpixel((i,j))
#             croped.putpixel((i - x1, j - y1), pixel)
#     croped.show()
#     return croped


'''
First implement: use numpy to convert image to an array, then rebuild an image copy from this array
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to copy 
@para mode: <bool> default value is True, imply to Horizontal flip, while False imply to Vertical
'''
def flip(im, mode = True):
    imdata = array(im)
    flipedata = imdata[::, ::-1] if mode else imdata[::-1, ::]
    fliped = Image.fromarray(flipedata)
    fliped.show()
    return fliped
'''
Second implement: use nested-loop to iterate each pixel
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to flip
@para mode: <bool> default value is True, imply to Horizontal flip, while False imply to Vertical
'''
# def flip(im, mode = True):
#     w, h = im.size
#     if mode:
#         _w = w // 2
#         for i in range(_w):
#             for j in range(h):
#                 pixel = im.getpixel((i,j))
#                 im.putpixel((i, j), im.getpixel((w - i - 1, j)))
#                 im.putpixel((w - i - 1, j), pixel)
#
#     else:
#         _h = h // 2
#         for i in range(w):
#             for j in range(_h):
#                 pixel = im.getpixel((i, j))
#                 im.putpixel((i, j), im.getpixel((i, h - j - 1)))
#                 im.putpixel((i, h - j - 1), pixel)
#     im.show()
#     return im


'''
First implement: use numpy to convert image to an array, then rebuild an image copy from this array
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to rotate 
@para mode: <bool> default value is True, imply to rotate 90 degree in clockwise , while False imply to in anticlockwise
'''
def rotate(im, mode = True):
    imdata = array(im)
    rotatedata = imdata[::-1].transpose((1, 0, 2)) if mode else imdata.transpose(1, 0, 2)[::-1]
    rotated = Image.fromarray(rotatedata)
    rotated.show()
    return rotated
'''
Second implement: use nested-loop to iterate each pixel
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to rotate
@para mode: <bool> default value is True, imply to rotate 90 degree in clockwise , while False imply to in anticlockwise
'''
def rotate(im, mode = True):
    w, h = im.size
    rotated = Image.new(im.mode, im.size[::-1])
    w, h = im.size
    for i in range(w):
        for j in range(h):
            pixel = im.getpixel((i, j))
            if mode:
                rotated.putpixel((h - j - 1, i), pixel)
            else:
                rotated.putpixel((j, w - i - 1), pixel)

    rotated.show()
    return rotated
'''


@para im: <class 'PIL.PngImagePlugin.PngImageFile'> image object that you want to smooth 
'''
def smooth(im):
    smoothed = Image.new(im.mode, im.size)
    w, h = im.size
    # print(im.getpixel((0, 0)))
    #kernel = array([[[1/9, 1/9, 1/9],[1/9, 1/9, 1/9],[1/9, 1/9, 1/9]],[[1/9, 1/9, 1/9],[1/9, 1/9, 1/9],[1/9, 1/9, 1/9]],[[1/9, 1/9, 1/9],[1/9, 1/9, 1/9],[1/9, 1/9, 1/9]]])
    kernel = ones((3, 3, 3)) / 27
    imdata = array(im)

    temp = ndimage.convolve(imdata, kernel)
    print(temp.dtype)
    smoothed = Image.fromarray(temp)
    smoothed.show()
    return smoothed

# def smooth(im):
#     smoothed = Image.new(im.mode, im.size)
#     w, h = im.size
#     # print(im.getpixel((0, 0)))
#     for i in range(w):
#         for j in range(h):
#             smoothed.putpixel((i, j), get_average(im, i, j))
#     smoothed.show()
#     return smoothed

def get_average(im, i, j):
    w, h = im.size
    r, g, b = 0, 0, 0
    count = 0
    for i in range(max(i - 1, 0), min(w, i + 1)):
        for j in range(max(j - 1, 0), min(j + 1, h)):
            pixel = im.getpixel((i, j))
            r += pixel[0]
            g += pixel[1]
            b += pixel[2]
            count += 1
    return (r // count, g // count, b // count)
# Example
if __name__ == "__main__":
    im = Image.open("images/02.jpg")
    smooth(im)

piltest_image_resize.py

import myutils as ut
from PIL import Image
import os

'''
@para path: <string> select a directory to process all jpg
@para size: <list> a list of length 2 to describe the image size (width, height)
'''
def resize(path, size=(640, 480)):
    # Default size of thumbnail is 128, 128
    imlist = ut.get_imlist(path, ".jpg")
    for i in imlist:
        fname = os.path.splitext(i)[0] + "_{0}.jpg".format(size[0])
        try:
            im = Image.open(i)
            im = im.resize(size, Image.ANTIALIAS)
            im.save(fname)
        except Exception as e:
            print("Cannot resize {0} due to error(s): {1}".format(i, e))
        else:
            print("{0} is resized to {1[0]}, {1[1]}".format(i, size))

# Example
if __name__ == "__main__":
    resize("images")

piltest_image_thumbnail.py

import os
from PIL import Image
import myutils as ut


def thumbnail(path, size=(128, 128)):
    # Default size of thumbnail is 128, 128
    imlist = ut.get_imlist(path, ".jpg")
    for i in imlist:
        fname = os.path.splitext(i)[0] + "_s.jpg"
        try:
            im = Image.open(i)
            im.thumbnail(size, Image.ANTIALIAS)
            im.save(fname)
        except Exception as e:
            print("Cannot create thumbnail of file {0} due to error(s): {1}".format(i, e))
        else:
            print("Thumbnail of {0} created".format(i))


if __name__ == "__main__":
    thumbnail("images")

piltest_image_watermark1.py

from PIL import Image, ImageDraw, ImageFont
import myutils as ut
import os
'''
add_watermarks adds the image-type logo to origin images in specified directory
@para path: <string> select a directory to process all jpg
@para logopath: <string> select a image's path which used as water mark
@para logo_size: <list> a list of length 2 to describe the logo size (width, height)
@para position: <list> a list with length 2
'''
def add_watermarks(path, logopath, logo_size = (200, 100), position = (0, 0)):
    imlist = ut.get_imlist(path, ".jpg")
    for i in imlist:
        fname = os.path.splitext(i)[0] + '_w.jpg'
        im = Image.open(i).convert('RGBA')
        logo = Image.open(logopath).convert('RGBA')
        try:
            out = add_watermark_single(im, logo, logo_size, position)
            out.convert('RGB').save(fname)
        except Exception as e:
            print("Cannot convert file.Error info: {0}".format(i), e)
        else:
            print("{0} coverted".format(i))
'''
logo_resize resize the logo image to fit the image size

@para logo: <class 'PIL.PngImagePlugin.PngImageFile'> image used as water mark
@para logo_size: <list> a list of length 2 to describe the logo size (width, height)
'''
def logo_resize(logo, logo_size):
    return logo.resize(logo_size)
'''
add_watermark_single add water mark to one image
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> origin image
@para logo: <class 'PIL.PngImagePlugin.PngImageFile'> image used as water mark
@para position: <list> a list with length 2
'''
def add_watermark_single(im, logo, logo_size, position):
    panel = Image.new("RGBA", im.size, (0, 0, 0, 0))
    logo = logo_resize(logo, logo_size)
    panel.paste(logo, position)
    output = Image.alpha_composite(im, panel)
    return output
# Example
if __name__ == "__main__":
    add_watermarks("images", "images/python-logo.png")

piltest_image_watermark2.py

from PIL import Image, ImageDraw, ImageFont
import myutils as ut
import os

'''
@para path: <string> select a directory to process all jpg
@para content: <string> content of watermark
@para size: <int> font size
@para position: <list> a list with length 2
@para color: <list> a list with length 4
@para fpath: <string> the path of font
'''
def add_watermarks(path, content = 'Python', size = 20, position = (0, 0), color = (255,255,255,100), fpath = "fonts/LucidaTypewriterRegular.ttf"):
    # Get image list of specified directory
    imlist = ut.get_imlist(path, ".jpg")
    for i in imlist:
        fname = os.path.splitext(i)[0] + '_w.jpg'
        im = Image.open(i).convert('RGBA')
        try: 
            out = add_watermark_single(im, content, size, position, color, fpath)
            #out is RGBA after alpha composite with watermark
            out.convert("RGB").save(fname)
        except Exception as e:
            print("Cannot add water mark to {0}, due to error(s): {1}".format(i, e))
        else:
            print("Water mark added to {0}".format(i))
'''
@para im: <class 'PIL.PngImagePlugin.PngImageFile'> origin image
'''
def add_watermark_single(im, content, size, position, color, fpath):
    panel = Image.new("RGBA", im.size, (0,0,0,0))
    font = ImageFont.truetype(fpath, size)
    mask = ImageDraw.Draw(panel)
    mask.text(position, content, fill = color, font = font)
    output = Image.alpha_composite(im, panel)
    return output

#Example
if __name__ == "__main__":
    add_watermarks(path = "images")

piltest_myutils.py

import os
import re

# Use regular expression to get image which is before process (filter images' names end with '_w', '_s'...)
ban_ext = ['_w', '_s', '_640']
pattern = ''
for i in ban_ext:
    pattern += "(?:{0})".format(i.strip()) + '|'
pattern = pattern[:-1]


def get_imlist(path, ext):
    global pattern
    pattern += ext
    # print pattern
    return [os.path.join(path, f) for f in os.listdir(path) if f.endswith(ext) and not re.search(pattern, f)]


# Example
if __name__ == "__main__":
    print(get_imlist("images", ".jpg"))

piltest_README.md

python-couse

piltest_test.py

from PIL import Image, ImageFilter
import numpy
from matplotlib import pyplot as plt
im = Image.open("images/test.jpg")
contour = im.filter(ImageFilter.CONTOUR)
emboss = im.filter(ImageFilter.EMBOSS)
edged = im.filter(ImageFilter.FIND_EDGES)
figure = plt.figure(figsize=(10, 10))
# Show origin
ax1 = figure.add_subplot(221)
ax1.imshow(im)
plt.title("Origin")
plt.axis('off')

# Show contour
ax2 = figure.add_subplot(222)
ax2.imshow(contour)
plt.title("Contour")
plt.axis('off')

# Show emboss
ax3 = figure.add_subplot(223)
ax3.imshow(emboss)
plt.title("Emboss")
plt.axis('off')

# Show Edged
ax4 = figure.add_subplot(224)
ax4.imshow(edged)
plt.title("Edged")
plt.axis('off')

figure.show()