ah
Tanabata, Tanabata is coming
A handsome man loses his hair
Why do you lose your hair
I don't know what to give
Straight man's gift was scolded by her
They were beaten randomly
It's good to ask Taobao for help
The accused straight man didn't have to run
To sum up, just one sentence
Single is no trouble
There are thousands of straight men in the world
Half of them have sent photos to the wall
It's usually black and white
In line with the principle of getting up from where you fall
I must insist on sharing it with you
Shine!
Film!
Wall!
This blog post is the PLUS version of the previous one
Expected results:
The effect is almost the same, aunt:
1. The small square with many old noses forms a big square, and each square is a photo.
2. The surroundings are all black and white, with some messy colors in the middle, which can be assembled into a known mathematical figure, such as circle, square and rectangle.
3. If you are a little nostalgic for this sour love, I suggest you make a heart shape.
1. Script directory
Store photos in pictures
If you have a girlfriend, put some girlfriends
If you don't have a girlfriend, you can put some of the same kind
2. Analysis:
Each photo is different in size and shape. Use the resize method in image to convert to the same size
img = img.resize((SIZE * FRAME[y][x], SIZE * FRAME[y][x]), Image.ANTIALIAS)
Create a two-dimensional array in advance. Different numbers represent different meanings. In the following code, 0 represents a black-and-white photo, 9 represents a space occupation, 1 represents a color photo in this position, similarly, 2 represents a color photo in the surrounding 2 * 2 space. If 2 is used, 9 is required for the remaining three positions in the 2 * 2 square# Set picture matrix
FRAME = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0], [0,0,0,1,1,0,0,0,0,2,0,0,0,0], [0,0,1,1,1,1,0,0,1,0,0,1,0,0], [0,1,2,9,1,1,1,1,1,1,1,1,1,0], [0,1,9,9,1,4,9,9,9,1,1,1,1,0], [0,1,1,1,1,9,9,9,9,1,1,1,1,0], [0,0,1,1,1,9,9,9,9,2,9,1,0,0], [0,0,0,1,1,9,9,9,9,9,9,0,0,0], [0,0,0,0,1,1,1,1,1,1,0,0,0,0], [0,0,0,0,0,1,1,1,1,0,0,0,0,0], [0,0,0,0,0,0,1,1,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0,0,0,0]]
Taking the upper matrix as an example, the element in the third column of the fourth row is 2, which means that there is a photo in the 2 * 2 square on the right and lower sides. So use 3 9s to fill around 2.
3. For the digital processing of 0-9, only 0 and 9 need special processing, and the rest remain unchanged
if FRAME[y][x] == 9 : continue elif FRAME[y][x] != 0 : pos_x = x * N * SIZE # Fill start X Coordinate position pos_y = y * N * SIZE # Fill start Y Coordinate position for yy in range(N): for xx in range(N): img = Image.open(PICTURE_DIR + filenames[i]) img = img.resize((SIZE * FRAME[y][x], SIZE * FRAME[y][x]), Image.ANTIALIAS) img_bg.paste(img, (pos_x + xx * SIZE, pos_y + yy * SIZE)) i += 1 else : pos_x = x * N * SIZE # Fill start X Coordinate position pos_y = y * N * SIZE # Filling start Y coordinate position for YY in range (n): for XX in range (n): IMG = image open(PICTURE_DIR + filenames[i]) length = 1 if FRAME[Y][x] == 0 else FRAME[Y][x] img = img. resize((SIZE * length, SIZE * length), Image. ANTIALIAS) img = img. convert('L') img_ bg. paste(img, (pos_x + xx * SIZE, pos_Y + yy * SIZE)) i += 14. All source code
# -*- encoding:utf-8 -*-
import os
import random
import PIL.Image as Image
import numpy as np
# Set picture matrix
FRAME = [[0,0,0,0,0,0,0,0,0,0,0,0,0,0],
[0,0,0,1,1,0,0,0,0,2,0,0,0,0],
[0,0,1,1,1,1,0,0,1,0,0,1,0,0],
[0,1,2,9,1,1,1,1,1,1,1,1,1,0],
[0,1,9,9,1,4,9,9,9,1,1,1,1,0],
[0,1,1,1,1,9,9,9,9,1,1,1,1,0],
[0,0,1,1,1,9,9,9,9,2,9,1,0,0],
[0,0,0,1,1,9,9,9,9,9,9,0,0,0],
[0,0,0,0,1,1,1,1,1,1,0,0,0,0],
[0,0,0,0,0,1,1,1,1,0,0,0,0,0],
[0,0,0,0,0,0,1,1,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0,0,0,0,0]]
PICTURE_DIR = "C:/Users/zorrolzhang/Desktop/xxx/pictures/"
# Define relevant parameters
SIZE = 100 # The larger the size of each picture, the clearer it is
N = 1 # Place 1 * 1 picture on each point
# Calculate relevant parameters
width = np.shape(FRAME)[1]*N*SIZE # Photo wall width
height = np.shape(FRAME)[0]*N*SIZE # Photo wall height
#n_img = np.sum(FRAME)*(N**2) # Number of photos required for photo wall
n_img = np.shape(FRAME)[1] * np.shape(FRAME)[0]*N
print(n_img,len(os.listdir(PICTURE_DIR)))
filenames = random.sample(os.listdir(PICTURE_DIR),n_img) # Random selection n_img photos
# Draw love wall
img_bg = Image.new('RGB', (width, height)) # Set photo wall background
i = 0
for y in range(np.shape(FRAME)[0]):
for x in range(np.shape(FRAME)[1]):
if FRAME[y][x] == 9 :
continue
elif FRAME[y][x] != 0 :
pos_x = x * N * SIZE # Filling start X coordinate position
pos_y = y * N * SIZE # Filling start Y coordinate position
for yy in range(N):
for xx in range(N):
img = Image.open(PICTURE_DIR + filenames[i])
img = img.resize((SIZE * FRAME[y][x], SIZE * FRAME[y][x]), Image.ANTIALIAS)
img_bg.paste(img, (pos_x + xx * SIZE, pos_y + yy * SIZE))
i += 1
else :
pos_x = x * N * SIZE # Filling start X coordinate position
pos_y = y * N * SIZE # Filling start Y coordinate position
for yy in range(N):
for xx in range(N):
img = Image.open(PICTURE_DIR + filenames[i])
length = 1 if FRAME[y][x] == 0 else FRAME[y][x]
img = img.resize((SIZE * length, SIZE * length), Image.ANTIALIAS)
img = img.convert('L')
img_bg.paste(img, (pos_x + xx * SIZE, pos_y + yy * SIZE))
i += 1
# Save picture
img_bg.save('xxx.jpg')
5. Running screenshot
6. Write at the end
If you send this picture
I haven't broken up yet
Just be nice to your girlfriend
After all, find someone with bad eyes
Not easy!