face_id

Author: injetlee

wechat/README.MD

@@ -0,0 +1,4 @@
+# 详细使用请看文章
+
+[Python微信公众号开发—小白篇(一)](https://mp.weixin.qq.com/s/iMPUC0yxI-zuf4AjtyAu6g)
+[Python公众号开发—颜值检测]

wechat/connect.py

@@ -1,9 +1,13 @@
 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):
 
@@ -25,18 +29,24 @@ def on_post(self, req, resp):
  xml = req.stream.read()
  msg = parse_message(xml)
  if msg.type == 'text':
+ print('hello')
  reply = TextReply(content=msg.content, message=msg)
  xml = reply.render()
  resp.body = (xml)
  resp.status = falcon.HTTP_200
  elif msg.type == 'image':
- reply = ImageReply(media_id=msg.media_id, message=msg)
+ name = img_download(msg.image, msg.source) # 下载图片
+ print(name)
+ 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/face_id.py

@@ -0,0 +1,137 @@
+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):
+ print(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'

wechat/requirements.txt

@@ -0,0 +1,43 @@
+import 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)