毕设&课程作业_智能门铃系统REST API.zip

# coding=utf-8 import json import os from django.http import HttpResponse from Face import settings from cognitive.models import * import httplib import urllib # Create your views here. def add_person(request, name): result = {} person_name = name if Person.objects.filter(name=person_name).count() > 0: result['succeeded'] = False result['message'] = "Name Existed" else: upload_path = settings.MEDIA_ROOT + '/existed/' if not os.path.exists(upload_path): os.makedirs(upload_path) image = request.body file_name = upload_path + person_name + '.jpg' file_obj = open(file_name, 'wb+') file_obj.write(image) file_obj.close() new_person = Person( name=person_name, image='http://%s/media/existed/%s' % (settings.HOST_NAME, person_name) + '.jpg' ) new_person.save() # 获得此人faceId using_info = {} using_info['url'] = new_person.image headers = { 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': settings.FACE_KEY, } params = urllib.urlencode({ 'returnFaceId': 'true', 'returnFaceLandmarks': 'false', }) conn = httplib.HTTPSConnection('api.projectoxford.ai') conn.request("POST", "/face/v1.0/detect?%s" % params, json.dumps(using_info), headers) response = json.loads(conn.getresponse().read()) try: face_id = response[0]['faceId'] new_person.face_id = face_id new_person.save() result['succeeded'] = True result['face_id'] = face_id except: message = response['error']['message'] result['succeeded'] = False result['message'] = message conn.close() return HttpResponse(json.dumps(result), content_type='application/json') def compare(request): result = {} upload_path = settings.MEDIA_ROOT + '/unknown/' if not os.path.exists(upload_path): os.makedirs(upload_path) image = request.body c = UnknownPerson.objects.all().count() file_name = upload_path + 'unknown' + str(c+1) + '.jpg' file_obj = open(file_name, 'wb') file_obj.write(image) file_obj.close() new_unknown = UnknownPerson( image='http://%s/media/unknown/%s' % (settings.HOST_NAME, "unknown") + str(c+1) + '.jpg' ) new_unknown.save() # 获得未知人员的faceId using_info = {} using_info['url'] = new_unknown.image headers = { 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': settings.FACE_KEY, } params = urllib.urlencode({ 'returnFaceId': 'true', 'returnFaceLandmarks': 'false', }) conn = httplib.HTTPSConnection('api.projectoxford.ai') conn.request("POST", "/face/v1.0/detect?%s" % params, json.dumps(using_info) ,headers) response = json.loads(conn.getresponse().read()) conn.close() try: face_id = response[0]['faceId'] new_unknown.face_id = face_id new_unknown.save() result['up_succeeded'] = True result['face_id'] = face_id except: result['up_succeeded'] = False result['up_message'] = response['error']['message'] # 比较 headers = { 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': settings.FACE_KEY, } params = urllib.urlencode({}) using_info = {} if not new_unknown.face_id: result['com_succeeded'] = False result['com_message'] = "No FaceID" else: using_info['faceId1'] = new_unknown.face_id conn_compare = httplib.HTTPSConnection('api.projectoxford.ai') for person in Person.objects.all(): using_info['faceId2'] = person.face_id conn_compare.request("POST", "/face/v1.0/verify?%s" % params, json.dumps(using_info), headers) response = json.loads(conn_compare.getresponse().read()) conn_compare.close() if response.has_key("error"): result['com_succeeded'] = False result['com_message'] = response['error']['message'] return HttpResponse(json.dumps(result), content_type='application/json') else: if response['isIdentical']: result['com_succeeded'] = True result['isIdentical'] = response['isIdentical'] result['confidence'] = response['confidence'] return HttpResponse(json.dumps(result), content_type='application/json') result['com_succeeded'] = True result['isIdentical'] = response['isIdentical'] return HttpResponse(json.dumps(result), content_type='application/json')