import base64 from aip import AipFace import cv2 # 配置百度aip参数 APP_ID = '19484855' API_KEY = 'V2mDOleCsk3yEE6P5MgVwSjI' SECRET_KEY = 'RbRMAuPmz8QpDweikrbpfGQjXUm7HiCD' a_face = AipFace(APP_ID, API_KEY, SECRET_KEY) image_type = 'BASE64' options = {'face_field': 'age,gender,beauty', "max_face_num": 10} max_face_num = 10 def get_file_content(file_path): """获取文件内容""" with open(file_path, 'rb') as fr: content = base64.b64encode(fr.read()) return content.decode('utf8') def face_score(file_path): """脸部识别分数""" result = a_face.detect(get_file_content(file_path), image_type, options) return result # 图片地址，图片与程序同一目录下 file_path = "timg.jpg" result = face_score(file_path) # #从文件读取图像并转为灰度图像 img = cv2.imread(file_path) # 图片放文字 # 设置文件的位置、字体、颜色等参数 font = cv2.FONT_HERSHEY_DUPLEX # font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") color = (0, 0, 255) for item in result['result']['face_list']: x = int(item['location']['left']) y = int(item['loca

from PIL import Image import sys # 将图片填充为正方形 def fill_image(image): width, height = image.size # 选取长和宽中较大值作为新图片的 new_image_length = width if width > height else height # 生成新图片[白底] new_image = Image.new(image.mode, (new_image_length, new_image_length), color='white') # 将之前的图粘贴在新图上，居中 if width > height: # 原图宽大于高，则填充图片的竖直维度 # (x,y)二元组表示粘贴上图相对下图的起始位置 new_image.paste(image, (0, int((new_image_length - height) / 2))) else: new_image.paste(image, (int((new_image_length - width) / 2), 0)) return new_image # 切图 def cut_image(image): width, height = image.size item_width = int(width / 3) box_list = [] # (left, upper, right, lower) for i in range(0, 3): # 两重循环，生成9张图片基于原图的位置 for j in range(0, 3): # print((i*item_width,j*item_width,(i+1)*item_width,(j+1)*item_width)) box = (j * item_width, i * item_width, (j + 1) * item_width, (i + 1) * item_width) box_list.append(box)

import exifread import re import json import requests import os # 转换经纬度格式 def latitude_and_longitude_convert_to_decimal_system(*arg): """ 经纬度转为小数, param arg: :return: 十进制小数 """ return float(arg[0]) + ((float(arg[1]) + (float(arg[2].split('/')[0]) / float(arg[2].split('/')[-1]) / 60)) / 60) # 读取照片的GPS经纬度信息 def find_GPS_image(pic_path): GPS = {} date = '' with open(pic_path, 'rb') as f: tags = exifread.process_file(f) for tag, value in tags.items(): # 纬度 if re.match('GPS GPSLatitudeRef', tag): GPS['GPSLatitudeRef'] = str(value) # 经度 elif re.match('GPS GPSLongitudeRef', tag): GPS['GPSLongitudeRef'] = str(value) # 海拔 elif re.match('GPS GPSAltitudeRef', tag): GPS['GPSAltitudeRef'] = str(value) elif re.match('GPS GPSLatitude', tag): try: match_result = re.match('\[(\w*),(\w*)