2023来个网站可以看的,排版设计图,开源平台,企业建网站作用如何预测你和心仪的Ta有没有夫妻相#xff1f;基于华为云ModelArts开发的【一键预测你和Ta的CP值】Demo帮你预测CP指数。该模型利用ssim算法综合计算五官特征相似程度#xff0c;从而得出CP值。//夫妻相的原理在当今心理学、生物学仍有很大争议#xff0c;夫妻相指数高并不意…如何预测你和心仪的Ta有没有夫妻相基于华为云ModelArts开发的【一键预测你和Ta的CP值】Demo帮你预测CP指数。该模型利用ssim算法综合计算五官特征相似程度从而得出CP值。//夫妻相的原理在当今心理学、生物学仍有很大争议夫妻相指数高并不意味着两人未来一定会幸福美满也不能预判彼此关系变好变坏。本案例只适用于AI技术的学习以及情人节娱乐。1.下载需要的海报文件和字体import osimport os.path as osp
import moxing as mox
parent osp.join(os.getcwd(),Valentine)
if not os.path.exists(parent):mox.file.copy_parallel(obs://modelarts-labs-bj4-v2/case_zoo/Valentine,parent)if os.path.exists(parent):print(Download success)else:raise Exception(Download Failed)
else:print(Model Package already exists!) 2.使用ssim算法计算夫妻相import numpy as np
import cv2
import random
import matplotlib.pyplot as plt
from matplotlib import font_manager
import warnings
from scipy.signal import convolve2d
from PIL import Image,ImageDraw,ImageFontwarnings.filterwarnings(ignore)def matlab_style_gauss2D(shape(3,3),sigma0.5):2D gaussian mask - should give the same result as MATLABsfspecial(gaussian,[shape],[sigma])m,n [(ss-1.)/2. for ss in shape]y,x np.ogrid[-m:m1,-n:n1]h np.exp( -(x*x y*y) / (2.*sigma*sigma) )h[ h np.finfo(h.dtype).eps*h.max() ] 0sumh h.sum()if sumh ! 0:h / sumhreturn hdef filter2(x, kernel, modesame):return convolve2d(x, np.rot90(kernel, 2), modemode)def compute_ssim(im1, im2, k10.01, k20.04, win_size11, L255):if not im1.shape im2.shape:raise ValueError(Input Imagees must have the same dimensions)if len(im1.shape) 2:raise ValueError(Please input the images with 1 channel)M, N im1.shapeC1 (k1*L)**2C2 (k2*L)**2window matlab_style_gauss2D(shape(win_size,win_size), sigma0.5)window window/np.sum(np.sum(window))if im1.dtype np.uint8:im1 np.double(im1)if im2.dtype np.uint8:im2 np.double(im2)mu1 filter2(im1, window, valid)mu2 filter2(im2, window, valid)mu1_sq mu1 * mu1mu2_sq mu2 * mu2mu1_mu2 mu1 * mu2sigma1_sq filter2(im1*im1, window, valid) - mu1_sqsigma2_sq filter2(im2*im2, window, valid) - mu2_sqsigmal2 filter2(im1*im2, window, valid) - mu1_mu2ssim_map ((2*mu1_mu2C1) * (2*sigmal2C2)) / ((mu1_sqmu2_sqC1) * (sigma1_sqsigma2_sqC2))return np.mean(np.mean(ssim_map))def img_show(similarity, img1, img2, name1, name2):# similarity random.uniform(60,100)zt ./Valentine/方正兰亭准黑_GBK.ttfmy_font font_manager.FontProperties(fname zt,size 20 )img1 cv2.resize(img1, (520, 520))img2 cv2.resize(img2, (520, 520))imgs np.hstack([img1, img2])imgs2 imgs[:,:, ::-1]plt.axis(off)plt.title({0} VS {1} \n CP指数: {2}%.format(name1, name2, round(similarity, 2)), fontpropertiesmy_font)plt.imshow(imgs2)path a.jpgcv2.imwrite(path, imgs)# img cv2ImgAddText(imgs, 夫妻相: {}%.format(round(similarity, 2)), 350, 130, (255, 0 , 0), 50)# cv2.imshow(image1 vs image2, img)# cv2.waitKey()3.修改预置的视频和图片在Valentine文件夹下有一个预置的1.png和2.png图片大家可以将里面的图片替换成自己的图片的名称不建议修改如果修改成其他的名称后面的路径也要进行相应的修改。点击此处上传你和Ta的照片不会留存照片信息,推理完成后内存数据会自动清除上传成功if __name__ __main__:name1 input(请输入图1照片姓名: \n)name2 input(请输入图2照片姓名: \n)img1_path Valentine/1.pngimg2_path Valentine/2.pngimg1 cv2.imread(img1_path)img2 cv2.imread(img2_path)im1 cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)im2 cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)im1 cv2.resize(im1, (520,520))im2 cv2.resize(im2, (520,520))similarity compute_ssim(im1, im2)*100if similarity 100:raise ValueError(图片重复! 请重新上传图片)random.seed(similarity)add_score random.uniform(1, 100-similarity)similarity add_scoreimg_show(similarity, img1, img2, name1, name2)注意输入图1图2照片姓名后都需要按下回车键预测成功image Image.open(a.jpg)
image image.resize((498,278))4.打印输出海报import os
from PIL import Image,ImageDraw,ImageFont,ImageFilter
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES True填写创作者名称右键即可下载海报海报如下
