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| import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
user_list = [
{'name': 'ad1', 'passwd': '123'},
{'name': 'teacher', 'passwd': '123'},
{'name': 'yq', 'passwd': '123'},
]
client_dic = {'username': None, 'login': False}
def auth_func(func):
def wrapper(*args, **kwargs):
if client_dic['username'] and client_dic['login']:
res = func(*args, **kwargs)
return res
username = input('用户名:').strip()
passwd = input('passwd:').strip()
for user_dic in user_list:
if username == user_dic['name'] and passwd == user_dic['passwd']:
client_dic['username'] = user_dic['name']
client_dic['login'] = True
res = func(*args, **kwargs)
return res
else:
print('用户名或者密码错误!')
return wrapper
@auth_func
def index():
print("欢迎来到主页")
@auth_func
def home(name):
print("欢迎回家:%s" % name)
def goodbye(name):
print("欢迎下次再来:%s" % name)
def read_image(image_file):
img = cv.imread(image_file)
img2 = cv.cvtColor(img, cv.COLOR_BGR2RGB)
return img2
def save_image(image_file):
img = cv.imread(image_file)
cv.imwrite("./dog_ori1.jpg", img)
def rgb_gray(image_file):
img = cv.imread(image_file)
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imwrite("./dog_ori2.jpg", gray)
gray2 = cv.cvtColor(gray, cv.COLOR_BGR2RGB)
return gray2
def color_reverse(image_file):
img = cv.imread(image_file)
dst = 255-img
cv.imwrite("./dog_ori3.jpg", dst)
dst2 = cv.cvtColor(dst, cv.COLOR_BGR2RGB)
return dst2
def image_edge_extrac(image_file):
img = cv.imread(image_file)
img = cv.GaussianBlur(img, (9, 9), 0)
edges = cv.Canny(img, 100, 200)
cv.imwrite("./dog_ori4.jpg", edges)
edges2 = cv.cvtColor(edges, cv.COLOR_BGR2RGB)
return edges2
def image_resize(image_file):
img = cv.imread(image_file)
resized_img = cv.resize(img, (int(img.shape[1] / 2), int(img.shape[0] / 2)))
cv.imwrite("./dog_ori5.jpg", resized_img)
resized_img2 = cv.cvtColor(resized_img, cv.COLOR_BGR2RGB)
return resized_img2
def image_seg(image_file):
img = cv.imread(image_file)
hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
lower_red = np.array([0, 43, 46])
higher_red = np.array([10, 255, 255])
mask = cv.inRange(hsv, lower_red, higher_red)
left_red = cv.bitwise_and(img, img, mask=mask)
cv.imwrite("./dog_ori6.jpg", left_red)
left_red2 = cv.cvtColor(left_red, cv.COLOR_BGR2RGB)
return left_red2
def image_cut(image_file):
img = cv.imread(image_file)
dst = img[70:220, 170:350]
cv.imwrite("./dog_ori7.jpg", dst)
dst2 = cv.cvtColor(dst, cv.COLOR_BGR2RGB)
return dst2
def show_douyin(image_file):
img_orig = Image.open(image_file)
array_orig = np.array(img_orig)
array_r = np.copy(array_orig)
array_r[:, :, 1:3] = 0
image_r = Image.fromarray(array_r)
array_gb = np.copy(array_orig)
array_gb[:, :, 0] = 0
image_gb = Image.fromarray(array_gb)
canvas_r = Image.new("RGB", img_orig.size, color=(0, 0, 0))
canvas_r.paste(image_r, (5, 5))
canvas_gb = Image.new("RGB", img_orig.size, color=(0, 0, 0))
canvas_gb.paste(image_gb, (0, 0))
result_array = np.array(canvas_r) + np.array(canvas_gb)
result = Image.fromarray(result_array)
result.save('./dog_ori8.jpg')
return result
def mat_show1(image):
plt.subplot(121)
plt.imshow(image)
plt.title("read_image")
def mode():
print('=' * 30)
print("1.打印原图片")
print("2.打印原图与灰度图")
print("3.打印原图与色彩反转图")
print("4.打印原图与轮廓提取图")
print("5.打印原图与缩小图")
print("6.打印原图与分割出红色的图")
print("7.打印原图与裁剪图")
print("8.打印原图与抖音效果图")
print("9.保存原图片到根目录")
print("10.显示系统功能")
print('=' * 30)
def system():
print("正在加载程序...")
filepath = '../dog_ori.jpg'
mode()
while 1:
value = str(input("输入数字实现相应功能(输入0退出程序)："))
im = read_image(filepath)
if value == '0':
break
elif value == '1':
plt.subplot(111)
plt.imshow(im)
plt.title("read_image")
plt.show()
elif value == '2':
im2 = rgb_gray(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im2)
plt.title("RGB_gray")
plt.show()
elif value == '3':
im3 = color_reverse(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im3)
plt.title("color_reverse")
plt.show()
elif value == '4':
im4 = image_edge_extrac(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im4)
plt.title("image_edge_extrac")
plt.show()
elif value == '5':
im5 = image_resize(filepath)
mat_show1(im)
plt.subplot(122)
plt.xlim(0, 600)
plt.ylim(600, 0)
plt.imshow(im5)
plt.title("image_resize")
plt.show()
elif value == '6':
im6 = image_seg(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im6)
plt.title("image_seg")
plt.show()
elif value == '7':
im7 = image_cut(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im7)
plt.title("image_cut")
plt.show()
elif value == '8':
im8 = show_douyin(filepath)
mat_show1(im)
plt.subplot(122)
plt.imshow(im8)
plt.title("dou_yin")
plt.show()
elif value == '9':
save_image(filepath)
print("图片已保存")
elif value == '10':
mode()
else:
print("请输入数字0~10：")
print("已退出程序")
goodbye('root')
if __name__ == "__main__":
print(client_dic)
index()
print(client_dic)
home('root')
if client_dic['username'] and client_dic['login']:
system()
|
