Files
Intelligent-Elderly-Care/Class/detection/unknown_detection.py
2020-07-01 22:42:51 +08:00

85 lines
3.0 KiB
Python

# -*- coding: utf-8 -*-
import json
import urllib.request
import urllib.error
import time
import cv2
http_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare'
key = "cW2DWAvBTk7lsoo8iCgR4TzWrYpVP_qP"
secret = "NYXhr6g0rTDtKNloY6xyGK1fUpyL_t5W"
filepath_origin = r'data/data_faces_from_camera/person_1/img_face_1.jpg'
filepath = r"C:\Users\tq\Desktop\1.jpg"
cap = cv2.VideoCapture(0)
cap.set(3, 480)
while cap.isOpened():
flag, img_rd = cap.read()
kk = cv2.waitKey(1)
# 按下 q 键退出
if kk == ord('q'):
break
else:
cv2.imwrite(r"C:\Users\tq\Desktop\1.jpg", img_rd)
boundary = '----------%s' % hex(int(time.time() * 1000))
data = []
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key')
data.append(key)
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret')
data.append(secret)
data.append('--%s' % boundary)
fr = open(filepath, 'rb')
data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file1')
data.append('Content-Type: %s\r\n' % 'application/octet-stream')
data.append(fr.read())
fr.close()
data.append('--%s' % boundary)
fr = open(filepath_origin, 'rb')
data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file2')
data.append('Content-Type: %s\r\n' % 'application/octet-stream')
data.append(fr.read())
fr.close()
data.append('--%s--\r\n' % boundary)
for i, d in enumerate(data):
if isinstance(d, str):
data[i] = d.encode('utf-8')
http_body = b'\r\n'.join(data)
# build http request
req = urllib.request.Request(url=http_url, data=http_body)
# header
req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)
try:
# post data to server
resp = urllib.request.urlopen(req, timeout=5)
# get response
qrcont = resp.read()
# if you want to load as json, you should decode first,
# for example: json.loads(qrount.decode('utf-8'))
# try:
# print(json.loads(qrcont.decode('utf-8'))['faces'][0]['attributes']['smile'])
# print(json.loads(qrcont.decode('utf-8'))['faces'][0]['attributes']['emotion'])
# except:
# pass
print(json.loads(qrcont.decode('utf-8'))['confidence'])
# for face in faces:
# rec = face['face_rectangle']
# cv2.rectangle(img_rd, tuple([rec['left'], rec['top']]),
# tuple([rec['left'] + rec['width'], rec['top'] + rec['height']]),
# (0, 255, 0), 2)
cv2.imshow("camera", img_rd)
except urllib.error.HTTPError as e:
print(e.read().decode('utf-8'))
cap.release()
cv2.destroyAllWindows()