This is a Python-based WeChat public account development for appearance detection. Today we analyze the user's pictures through Tencent's AI platform and then return them to the user. Let’s experience the beauty test of public accounts together
pip install requestsInstall requests.
pip install pillow and
pip install opencv-python to install.
import time import random import base64 import hashlib import requests from urllib.parse import urlencode import cv2 import numpy as np from PIL import Image, ImageDraw, ImageFont import os # 一.计算接口鉴权,构造请求参数 def random_str(): '''得到随机字符串nonce_str''' str = 'abcdefghijklmnopqrstuvwxyz' r = '' for i in range(15): index = random.randint(0,25) r += str[index] return r def image(name): with open(name, 'rb') as f: content = f.read() return base64.b64encode(content) def get_params(img): '''组织接口请求的参数形式,并且计算sign接口鉴权信息, 最终返回接口请求所需要的参数字典''' params = { 'app_id': '1106860829', 'time_stamp': str(int(time.time())), 'nonce_str': random_str(), 'image': img, 'mode': '0' } sort_dict = sorted(params.items(), key=lambda item: item[0], reverse=False) # 排序 sort_dict.append(('app_key', 'P8Gt8nxi6k8vLKbS')) # 添加app_key rawtext = urlencode(sort_dict).encode() # URL编码 sha = hashlib.md5() sha.update(rawtext) md5text = sha.hexdigest().upper() # 计算出sign,接口鉴权 params['sign'] = md5text # 添加到请求参数列表中 return params # 二.请求接口URL def access_api(img): frame = cv2.imread(img) nparry_encode = cv2.imencode('.jpg', frame)[1] data_encode = np.array(nparry_encode) img_encode = base64.b64encode(data_encode) # 图片转为base64编码格式 url = 'https://api.ai.qq.com/fcgi-bin/face/face_detectface' res = requests.post(url, get_params(img_encode)).json() # 请求URL,得到json信息 # 把信息显示到图片上 if res['ret'] == 0: # 0代表请求成功 pil_img = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)) # 把opencv格式转换为PIL格式,方便写汉字 draw = ImageDraw.Draw(pil_img) for obj in res['data']['face_list']: img_width = res['data']['image_width'] # 图像宽度 img_height = res['data']['image_height'] # 图像高度 # print(obj) x = obj['x'] # 人脸框左上角x坐标 y = obj['y'] # 人脸框左上角y坐标 w = obj['width'] # 人脸框宽度 h = obj['height'] # 人脸框高度 # 根据返回的值,自定义一下显示的文字内容 if obj['glass'] == 1: # 眼镜 glass = '有' else: glass = '无' if obj['gender'] >= 70: # 性别值从0-100表示从女性到男性 gender = '男' elif 50 <= obj['gender'] < 70: gender = "娘" elif obj['gender'] < 30: gender = '女' else: gender = '女汉子' if 90 < obj['expression'] <= 100: # 表情从0-100,表示笑的程度 expression = '一笑倾城' elif 80 < obj['expression'] <= 90: expression = '心花怒放' elif 70 < obj['expression'] <= 80: expression = '兴高采烈' elif 60 < obj['expression'] <= 70: expression = '眉开眼笑' elif 50 < obj['expression'] <= 60: expression = '喜上眉梢' elif 40 < obj['expression'] <= 50: expression = '喜气洋洋' elif 30 < obj['expression'] <= 40: expression = '笑逐颜开' elif 20 < obj['expression'] <= 30: expression = '似笑非笑' elif 10 < obj['expression'] <= 20: expression = '半嗔半喜' elif 0 <= obj['expression'] <= 10: expression = '黯然伤神' delt = h // 5 # 确定文字垂直距离 # 写入图片 if len(res['data']['face_list']) > 1: # 检测到多个人脸,就把信息写入人脸框内 font = ImageFont.truetype('yahei.ttf', w // 8, encoding='utf-8') # 提前把字体文件下载好 draw.text((x + 10, y + 10), '性别 :' + gender, (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 1), '年龄 :' + str(obj['age']), (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 2), '表情 :' + expression, (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 3), '魅力 :' + str(obj['beauty']), (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 4), '眼镜 :' + glass, (76, 176, 80), font=font) elif img_width - x - w < 170: # 避免图片太窄,导致文字显示不完全 font = ImageFont.truetype('yahei.ttf', w // 8, encoding='utf-8') draw.text((x + 10, y + 10), '性别 :' + gender, (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 1), '年龄 :' + str(obj['age']), (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 2), '表情 :' + expression, (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 3), '魅力 :' + str(obj['beauty']), (76, 176, 80), font=font) draw.text((x + 10, y + 10 + delt * 4), '眼镜 :' + glass, (76, 176, 80), font=font) else: font = ImageFont.truetype('yahei.ttf', 20, encoding='utf-8') draw.text((x + w + 10, y + 10), '性别 :' + gender, (76, 176, 80), font=font) draw.text((x + w + 10, y + 10 + delt * 1), '年龄 :' + str(obj['age']), (76, 176, 80), font=font) draw.text((x + w + 10, y + 10 + delt * 2), '表情 :' + expression, (76, 176, 80), font=font) draw.text((x + w + 10, y + 10 + delt * 3), '魅力 :' + str(obj['beauty']), (76, 176, 80), font=font) draw.text((x + w + 10, y + 10 + delt * 4), '眼镜 :' + glass, (76, 176, 80), font=font) draw.rectangle((x, y, x + w, y + h), outline="#4CB050") # 画出人脸方框 cv2img = cv2.cvtColor(np.array(pil_img), cv2.COLOR_RGB2BGR) # 把 pil 格式转换为 cv cv2.imwrite('faces/{}'.format(os.path.basename(img)), cv2img) # 保存图片到 face 文件夹下 return '检测成功' else: return '检测失败'
To obtain the access_token, we must add our own IP address to the whitelist, otherwise it will not be obtained. Please log in to "WeChat Public Platform-Development-Basic Configuration" to add the server IP address to the IP whitelist in advance. You can view the IP of this machine at http://ip.qq.com/...
Start writing code, we create a new utils.py to download and upload picturesimport requests import json import threading import time import os token = '' app_id = 'wxfc6adcdd7593a712' secret = '429d85da0244792be19e0deb29615128' def img_download(url, name): r = requests.get(url) with open('images/{}-{}.jpg'.format(name, time.strftime("%Y_%m_%d%H_%M_%S", time.localtime())), 'wb') as fd: fd.write(r.content) if os.path.getsize(fd.name) >= 1048576: return 'large' # print('namename', os.path.basename(fd.name)) return os.path.basename(fd.name) def get_access_token(appid, secret): '''获取access_token,100分钟刷新一次''' url = 'https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid={}&secret={}'.format(appid, secret) r = requests.get(url) parse_json = json.loads(r.text) global token token = parse_json['access_token'] global timer timer = threading.Timer(6000, get_access_token) timer.start() def img_upload(mediaType, name): global token url = "https://api.weixin.qq.com/cgi-bin/media/upload?access_token=%s&type=%s" % (token, mediaType) files = {'media': open('{}'.format(name), 'rb')} r = requests.post(url, files=files) parse_json = json.loads(r.text) return parse_json['media_id'] get_access_token(app_id, secret)
import falcon from falcon import uri from wechatpy.utils import check_signature from wechatpy.exceptions import InvalidSignatureException from wechatpy import parse_message from wechatpy.replies import TextReply, ImageReply from utils import img_download, img_upload from face_id import access_api class Connect(object): def on_get(self, req, resp): query_string = req.query_string query_list = query_string.split('&') b = {} for i in query_list: b[i.split('=')[0]] = i.split('=')[1] try: check_signature(token='lengxiao', signature=b['signature'], timestamp=b['timestamp'], nonce=b['nonce']) resp.body = (b['echostr']) except InvalidSignatureException: pass resp.status = falcon.HTTP_200 def on_post(self, req, resp): xml = req.stream.read() msg = parse_message(xml) if msg.type == 'text': reply = TextReply(content=msg.content, message=msg) xml = reply.render() resp.body = (xml) resp.status = falcon.HTTP_200 elif msg.type == 'image': name = img_download(msg.image, msg.source) # 下载图片 r = access_api('images/' + name) if r == '检测成功': media_id = img_upload('image', 'faces/' + name) # 上传图片,得到 media_id reply = ImageReply(media_id=media_id, message=msg) else: reply = TextReply(content='人脸检测失败,请上传1M以下人脸清晰的照片', message=msg) xml = reply.render() resp.body = (xml) resp.status = falcon.HTTP_200 app = falcon.API() connect = Connect() app.add_route('/connect', connect)
WeChat’s mechanism, our program must respond within 5s. Otherwise, it will report 'The service provided by the official account is faulty'. However, image processing is sometimes slow, often exceeding 5 seconds. Therefore, the correct processing method should be to return an empty string immediately after receiving the user's request to indicate that we have received it, and then create a separate thread to process the image. When the image is processed, it is sent to the user through the customer service interface. Unfortunately, uncertified public accounts do not have a customer service interface, so there is nothing you can do. If it takes more than 5 seconds, an error will be reported.
The menu cannot be customized. Once custom development is enabled, the menu also needs to be customized. However, uncertified official accounts do not have permission to configure the menu through the program and can only configure it in the WeChat background. configuration.
So, I have not enabled this program on my official account, but if you have a certified official account, you can try to develop various fun functions.
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