# -*- coding: utf-8 -*- import json import urllib.request import urllib.error import time import cv2 http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect' key = "cW2DWAvBTk7lsoo8iCgR4TzWrYpVP_qP" secret = "NYXhr6g0rTDtKNloY6xyGK1fUpyL_t5W" 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_file') data.append('Content-Type: %s\r\n' % 'application/octet-stream') data.append(fr.read()) fr.close() data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_landmark') data.append('1') data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes') data.append( "gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus") 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 faces = json.loads(qrcont.decode('utf-8'))['faces'] 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: pass cap.release() cv2.destroyAllWindows()