pull/8/merge
injetlee 2018-06-16 18:28:43 +08:00
parent 3568adb2e4
commit a5b61ddcfd
6 changed files with 197 additions and 3 deletions

4
wechat/README.MD 100644
View File

@ -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]

View File

@ -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 @@ class Connect(object):
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)

137
wechat/face_id.py 100644
View File

@ -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 = ''
else:
glass = ''
if obj['gender'] >= 70: # 性别值从0-100表示从女性到男性
gender = ''
elif 50 <= obj['gender'] < 70:
gender = ""
elif obj['gender'] < 30:
gender = ''
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'

Binary file not shown.

43
wechat/utils.py 100644
View File

@ -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)

BIN
wechat/yahei.ttf 100644

Binary file not shown.