%matplotlib inline import cv2 import numpy as np import matplotlib.pyplot as plt file_path = 'img/5_7.png' img = cv2.imread(file_path) # 領域抽出 gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) _, binarized = cv2.threshold(gray_img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU) contours, _ = cv2.findContours(binarized, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 領域描画 line_color , line_size = (0, 255, 0),1 plt.figure(figsize=(16,9)) cv2.drawContours(img, contours, -1, line_color , line_size) plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) plt.show()
res = {}
for x in range(6):
for y in range(8):
file_path = 'img/{0}_{1}.png'.format(x,y)
img = cv2.imread(file_path)
img = img[10:140,10:145]
# 領域抽出
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, binarized = cv2.threshold(gray_img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
contours, _ = cv2.findContours(binarized, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
tmp = []
for i in range(len(contours[0])-2):
a,b,c = contours[0][i][0],contours[0][i+1][0],contours[0][i+2][0]
ba = [abs(a[0]-b[0]),abs(a[1]-b[1])]
bc = [abs(c[0]-b[0]),abs(c[1]-b[1])]
cos_s = (ba[0]*bc[0] + ba[1]*bc[1]) / (np.sqrt(ba[0]**2 + bc[0]**2) * np.sqrt(ba[1]**2 + bc[1]**2))
dig = np.degrees(np.arccos(cos_s))
if dig>5:
tmp.append(dig)
if not np.isnan(np.mean(tmp)):
res[file_path]=np.mean(tmp)
import cv2
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
%matplotlib inline
# 画像の読み込み
img = cv2.imread('ベース画像のパス')
img2 = cv2.imread('証明写真のパス')
# 貼り付ける画像をリサイズ(サイズはうまく調整してね)
x_i2 , y_i2 = 180 , 200
img2 = cv2.resize(img2,(x_i2 , y_i2))
# 貼り付け先のオフセットを設定して貼り付ける(ここの数値も調整してね)
x_off , y_off = 100 , 170
img[y_off:y_off+y_i2 , x_off:x_off+x_i2] = img2
# 描画
plt.figure(figsize=(20,16))
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.show()
# 画像の読み込み
img = cv2.imread('ベース画像のパス')
img2 = cv2.imread('証明写真のパス')
rogo = cv2.imread('ロゴ画像のパス',-1)
# 顔写真のリサイズと貼り付け(数値はうまく調整してね)
x_i2 , y_i2 = 180 , 200
img2 = cv2.resize(img2,(x_i2 , y_i2))
x_off , y_off = 100 , 170
img[y_off:y_off+y_i2 , x_off:x_off+x_i2] = img2
# 背景をPIL形式に変換
back = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
back = Image.fromarray(back).convert('RGBA')
# rogoをPIL形式に変換(数値はうまく調整してね)
x_i3 , y_i3 = 150,150
rogo = cv2.resize(rogo,(x_i3 , y_i3))
rogo = cv2.cvtColor(rogo, cv2.COLOR_BGRA2RGBA)
rogo = Image.fromarray(rogo).convert('RGBA')
# 画像を合成
location = (40,280)
tmp = Image.new('RGBA', back.size, (255, 255, 255, 0))
tmp.paste(rogo, location, rogo)
img = Image.alpha_composite(back, tmp)
# 描画
plt.figure(figsize=(20,16))
plt.imshow(img)
plt.show()
import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
img1 = cv2.imread('IMG/saize/saize1.png',0)
img2 = cv2.imread('IMG/saize/saize2.png',0)
plt.figure(figsize=(20,10))
plt.imshow(np.where(img1 == img2, 1, 0))
plt.tick_params(labelbottom=False,labelleft=False,labelright=False,labeltop=False)
plt.tick_params(bottom=False,left=False,right=False,top=False)
plt.show()
