In [1]:
from PIL import Image
In [2]:
im1 = Image.open('data/src/lena.jpg')
im2 = Image.open('data/src/rocket.jpg')
In [3]:
def get_concat_h(im1, im2):
dst = Image.new('RGB', (im1.width + im2.width, im1.height))
dst.paste(im1, (0, 0))
dst.paste(im2, (im1.width, 0))
return dst
In [4]:
def get_concat_v(im1, im2):
dst = Image.new('RGB', (im1.width, im1.height + im2.height))
dst.paste(im1, (0, 0))
dst.paste(im2, (0, im1.height))
return dst
In [5]:
get_concat_h(im1, im1).save('data/dst/pillow_concat_h.jpg')
get_concat_v(im1, im1).save('data/dst/pillow_concat_v.jpg')
In [6]:
def get_concat_h_cut(im1, im2):
dst = Image.new('RGB', (im1.width + im2.width, min(im1.height, im2.height)))
dst.paste(im1, (0, 0))
dst.paste(im2, (im1.width, 0))
return dst
In [7]:
def get_concat_v_cut(im1, im2):
dst = Image.new('RGB', (min(im1.width, im2.width), im1.height + im2.height))
dst.paste(im1, (0, 0))
dst.paste(im2, (0, im1.height))
return dst
In [8]:
get_concat_h_cut(im1, im2).save('data/dst/pillow_concat_h_cut.jpg')
get_concat_v_cut(im1, im2).save('data/dst/pillow_concat_v_cut.jpg')
In [9]:
def get_concat_h_cut_center(im1, im2):
dst = Image.new('RGB', (im1.width + im2.width, min(im1.height, im2.height)))
dst.paste(im1, (0, 0))
dst.paste(im2, (im1.width, (im1.height - im2.height) // 2))
return dst
In [10]:
def get_concat_v_cut_center(im1, im2):
dst = Image.new('RGB', (min(im1.width, im2.width), im1.height + im2.height))
dst.paste(im1, (0, 0))
dst.paste(im2, ((im1.width - im2.width) // 2, im1.height))
return dst
In [11]:
get_concat_h_cut_center(im1, im2).save('data/dst/pillow_concat_h_cut_center.jpg')
get_concat_v_cut_center(im1, im2).save('data/dst/pillow_concat_v_cut_center.jpg')
In [12]:
def get_concat_h_blank(im1, im2, color=(0, 0, 0)):
dst = Image.new('RGB', (im1.width + im2.width, max(im1.height, im2.height)), color)
dst.paste(im1, (0, 0))
dst.paste(im2, (im1.width, 0))
return dst
In [13]:
def get_concat_v_blank(im1, im2, color=(0, 0, 0)):
dst = Image.new('RGB', (max(im1.width, im2.width), im1.height + im2.height), color)
dst.paste(im1, (0, 0))
dst.paste(im2, (0, im1.height))
return dst
In [14]:
get_concat_h_blank(im1, im2).save('data/dst/pillow_concat_h_blank.jpg')
get_concat_v_blank(im1, im2, (0, 64, 128)).save('data/dst/pillow_concat_v_blank.jpg')
In [15]:
def get_concat_h_resize(im1, im2, resample=Image.BICUBIC, resize_big_image=True):
if im1.height == im2.height:
_im1 = im1
_im2 = im2
elif (((im1.height > im2.height) and resize_big_image) or
((im1.height < im2.height) and not resize_big_image)):
_im1 = im1.resize((int(im1.width * im2.height / im1.height), im2.height), resample=resample)
_im2 = im2
else:
_im1 = im1
_im2 = im2.resize((int(im2.width * im1.height / im2.height), im1.height), resample=resample)
dst = Image.new('RGB', (_im1.width + _im2.width, _im1.height))
dst.paste(_im1, (0, 0))
dst.paste(_im2, (_im1.width, 0))
return dst
In [16]:
def get_concat_v_resize(im1, im2, resample=Image.BICUBIC, resize_big_image=True):
if im1.width == im2.width:
_im1 = im1
_im2 = im2
elif (((im1.width > im2.width) and resize_big_image) or
((im1.width < im2.width) and not resize_big_image)):
_im1 = im1.resize((im2.width, int(im1.height * im2.width / im1.width)), resample=resample)
_im2 = im2
else:
_im1 = im1
_im2 = im2.resize((im1.width, int(im2.height * im1.width / im2.width)), resample=resample)
dst = Image.new('RGB', (_im1.width, _im1.height + _im2.height))
dst.paste(_im1, (0, 0))
dst.paste(_im2, (0, _im1.height))
return dst
In [17]:
get_concat_h_resize(im1, im2).save('data/dst/pillow_concat_h_resize.jpg')
get_concat_v_resize(im1, im2, resize_big_image=False).save('data/dst/pillow_concat_v_resize.jpg')
In [18]:
def get_concat_h_multi_blank(im_list):
_im = im_list.pop(0)
for im in im_list:
_im = get_concat_h_blank(_im, im)
return _im
In [19]:
get_concat_h_multi_blank([im1, im2, im1]).save('data/dst/pillow_concat_h_multi_blank.jpg')
In [20]:
def get_concat_h_multi_resize(im_list, resample=Image.BICUBIC):
min_height = min(im.height for im in im_list)
im_list_resize = [im.resize((int(im.width * min_height / im.height), min_height),resample=resample)
for im in im_list]
total_width = sum(im.width for im in im_list_resize)
dst = Image.new('RGB', (total_width, min_height))
pos_x = 0
for im in im_list_resize:
dst.paste(im, (pos_x, 0))
pos_x += im.width
return dst
In [21]:
def get_concat_v_multi_resize(im_list, resample=Image.BICUBIC):
min_width = min(im.width for im in im_list)
im_list_resize = [im.resize((min_width, int(im.height * min_width / im.width)),resample=resample)
for im in im_list]
total_height = sum(im.height for im in im_list_resize)
dst = Image.new('RGB', (min_width, total_height))
pos_y = 0
for im in im_list_resize:
dst.paste(im, (0, pos_y))
pos_y += im.height
return dst
In [22]:
get_concat_h_multi_resize([im1, im2, im1]).save('data/dst/pillow_concat_h_multi_resize.jpg')
get_concat_v_multi_resize([im1, im2, im1]).save('data/dst/pillow_concat_v_multi_resize.jpg')
In [23]:
def get_concat_tile_resize(im_list_2d, resample=Image.BICUBIC):
im_list_v = [get_concat_h_multi_resize(im_list_h, resample=resample) for im_list_h in im_list_2d]
return get_concat_v_multi_resize(im_list_v, resample=resample)
In [24]:
get_concat_tile_resize([[im1],
[im1, im2],
[im1, im2, im1]]).save('data/dst/pillow_concat_tile_resize.jpg')
In [25]:
def get_concat_h_repeat(im, column):
dst = Image.new('RGB', (im.width * column, im.height))
for x in range(column):
dst.paste(im, (x * im.width, 0))
return dst
In [26]:
def get_concat_v_repeat(im, row):
dst = Image.new('RGB', (im.width, im.height * row))
for y in range(row):
dst.paste(im, (0, y * im.height))
return dst
In [27]:
def get_concat_tile_repeat(im, row, column):
dst_h = get_concat_h_repeat(im, column)
return get_concat_v_repeat(dst_h, row)
In [28]:
im_s = im1.resize((im1.width // 2, im1.height // 2))
get_concat_tile_repeat(im_s, 3, 4).save('data/dst/pillow_concat_tile_repeat.jpg')