# API **Repository Path**: chongqiao/api ## Basic Information - **Project Name**: API - **Description**: No description available - **Primary Language**: Python - **License**: MulanPSL-1.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2020-10-24 - **Last Updated**: 2021-04-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 人脸识别 ## 字符串拼接练习 ``` faceListId = "suiqiao78" 1 url_01 = "https://api-hjq.cognitiveservices.azure.com/face/v1.0/facelists/" + faceListId # string 拼接 2 url_02 = "https://api-hjq.cognitiveservices.azure.com/face/v1.0/facelists/%s" %(faceListId) 3 url_03 = "https://api-hjq.cognitiveservices.azure.com/face/v1.0/facelists/{}".format(faceListId) print(url_01,'\n',url_02,'\n',url_03) ``` ## 人脸识别 ``` import requests # 1、create list列表 # faceListId faceListId = "suiqiao78" create_facelists_url = "https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}" subscription_key = "eaa7f2d3c7e4456fbcc2884e463e77c0" # 输入密钥 assert subscription_key headers = { # Request headers 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key, } data = { "name": "qqc" , "userData": "bbq", "recognitionModel":"recognition_03", } r_create = requests.put(create_facelists_url.format(faceListId),headers=headers,json=data) ``` ``` r_create ``` ``` r_create.content ``` b'' ``` # 检查你的facelist的信息 get_facelist_url = "https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}" r_get_facelist = requests.get(get_facelist_url.format(faceListId),headers=headers) ``` ``` r_get_facelist.json() ``` {'persistedFaces': [], 'faceListId': 'suiqiao78', 'name': 'qqc', 'userData': 'bbq'} ``` #先加一张脸试试 # 2、Add face add_face_url ='https://api2.cognitiveservices.azure.com/face/v1.0/facelists/suiqiao78/persistedfaces' assert subscription_key headers = { # Request headers 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key, } img_url = "http://huangjieqi.gitee.io/picture_storage/EdisonQXF.jpg" params_add_face={ "faceListId": "suiqiao78", "userData": "wcq" } r_add_face = requests.post(add_face_url,headers=headers,params=params_add_face,json={"url":img_url}) ``` ``` r_add_face.status_code ``` 200 ``` r_add_face.json() ``` {'persistedFaceId': '9ed25cd7-d97d-404f-ad93-2ce188ac69a8'} ``` def AddFace(img_url=str,userData=str): add_face_url ="https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}/persistedFaces" assert subscription_key headers = { # Request headers 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key, } img_url = img_url params_add_face={ "userData":userData } r_add_face = requests.post(add_face_url.format(faceListId),headers=headers,params=params_add_face,json={"url":img_url}) return r_add_face.status_code #返回出状态码 ``` ``` AddFace("http://huangjieqi.gitee.io/picture_storage/Autumnhui.jpg","丘天惠") AddFace("http://huangjieqi.gitee.io/picture_storage/L-Tony-info.jpg","林嘉茵") AddFace("http://huangjieqi.gitee.io/picture_storage/TLINGP.jpg","汤玲萍") AddFace("http://huangjieqi.gitee.io/picture_storage/WenYanZeng.jpg","曾雯燕") AddFace("http://huangjieqi.gitee.io/picture_storage/XIEIC.jpg","谢依希") AddFace("http://huangjieqi.gitee.io/picture_storage/YuecongYang.png","杨悦聪") AddFace("http://huangjieqi.gitee.io/picture_storage/Zoezhouyu.jpg","周雨") AddFace("http://huangjieqi.gitee.io/picture_storage/crayon-heimi.jpg","刘瑜鹏") AddFace("http://huangjieqi.gitee.io/picture_storage/jiayichen.jpg","陈嘉仪") AddFace("http://huangjieqi.gitee.io/picture_storage/kg2000.jpg","徐旖芊") AddFace("http://huangjieqi.gitee.io/picture_storage/liuxinrujiayou.jpg","刘心如") AddFace("http://huangjieqi.gitee.io/picture_storage/liuyu19.png","刘宇") AddFace("http://huangjieqi.gitee.io/picture_storage/ltco.jpg","李婷") AddFace("http://huangjieqi.gitee.io/picture_storage/lucaszy.jpg","黄智毅") AddFace("http://huangjieqi.gitee.io/picture_storage/pingzi0211.jpg","黄慧文") AddFace("http://huangjieqi.gitee.io/picture_storage/shmimy-cn.jpg","张铭睿") AddFace("http://huangjieqi.gitee.io/picture_storage/yichenting.jpg","陈婷") AddFace("http://huangjieqi.gitee.io/picture_storage/coco022.jpg","洪可凡") AddFace("http://huangjieqi.gitee.io/picture_storage/lujizhi.png","卢继志") AddFace("http://huangjieqi.gitee.io/picture_storage/zzlhyy.jpg","张梓乐") ``` 200 ``` face_api_url = 'https://api2.cognitiveservices.azure.com/face/v1.0/detect' image_url = 'http://huangjieqi.gitee.io/picture_storage/hjq.jpg' headers = {'Ocp-Apim-Subscription-Key': subscription_key} params = { 'returnFaceId': 'true', 'returnFaceLandmarks': 'false', # 选择模型 'recognitionModel':'recognition_03',#此参数需与facelist参数一致 'detectionModel':'detection_01', # 可选参数,请仔细阅读API文档 'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise', } response = requests.post(face_api_url, params=params,headers=headers, json={"url": image_url}) response.json() ``` [{'faceId': '1500d248-389b-48b8-ab2b-cc003d5fb969', 'faceRectangle': {'top': 264, 'left': 207, 'width': 277, 'height': 277}, 'faceAttributes': {'smile': 0.0, 'headPose': {'pitch': 1.7, 'roll': -19.8, 'yaw': -13.9}, 'gender': 'male', 'age': 21.0, 'facialHair': {'moustache': 0.1, 'beard': 0.1, 'sideburns': 0.1}, 'glasses': 'NoGlasses', 'emotion': {'anger': 0.0, 'contempt': 0.002, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.0, 'neutral': 0.969, 'sadness': 0.029, 'surprise': 0.0}, 'blur': {'blurLevel': 'medium', 'value': 0.44}, 'exposure': {'exposureLevel': 'goodExposure', 'value': 0.68}, 'noise': {'noiseLevel': 'medium', 'value': 0.39}, 'makeup': {'eyeMakeup': False, 'lipMakeup': False}, 'accessories': [], 'occlusion': {'foreheadOccluded': False, 'eyeOccluded': False, 'mouthOccluded': False}, 'hair': {'bald': 0.18, 'invisible': False, 'hairColor': [{'color': 'brown', 'confidence': 0.97}, {'color': 'black', 'confidence': 0.9}, {'color': 'red', 'confidence': 0.38}, {'color': 'other', 'confidence': 0.23}, {'color': 'blond', 'confidence': 0.15}, {'color': 'gray', 'confidence': 0.09}, {'color': 'white', 'confidence': 0.0}]}}}] ``` # 4.返回人脸相似置信度 findsimilars_url = "https://api2.cognitiveservices.azure.com/face/v1.0/findsimilars" # 请求正文 faceID需要先检测一张照片获取 data_findsimilars = { "faceId":"1500d248-389b-48b8-ab2b-cc003d5fb969", #取上方的faceID "faceListId": "suiqiao78", "maxNumOfCandidatesReturned": 10, "mode": "matchFace" #matchPerson #一种为验证模式，一种为相似值模式 } r_findsimilars = requests.post(findsimilars_url,headers=headers,json=data_findsimilars) r_findsimilars.json() ``` [{'persistedFaceId': 'a8be1065-df0c-4e80-b619-6b97447303c6', 'confidence': 0.29269}, {'persistedFaceId': '3c1b9b90-c9f1-4713-9c4b-c0c623b04b84', 'confidence': 0.20908}, {'persistedFaceId': 'b439cc13-732b-4ce2-b1d0-d5087d5c8e20', 'confidence': 0.17849}, {'persistedFaceId': '9de92160-a6f1-44b1-be4f-fed6da615b64', 'confidence': 0.16209}, {'persistedFaceId': '6d06f21c-9572-45eb-81a2-2245926a6126', 'confidence': 0.15023}, {'persistedFaceId': 'b136b546-0c93-47af-ad72-4bff13634e58', 'confidence': 0.101}, {'persistedFaceId': 'da8fa3ed-a0f2-44ca-8c9a-70e737f679ec', 'confidence': 0.10034}, {'persistedFaceId': '13a2e24a-69c9-44ea-9100-ded401fba7a0', 'confidence': 0.0999}, {'persistedFaceId': '9ed25cd7-d97d-404f-ad93-2ce188ac69a8', 'confidence': 0.09955}, {'persistedFaceId': 'b9cf1d3c-aa01-44ba-bb14-cf3e834b5b2a', 'confidence': 0.09503}] ``` # 查看列表 get_facelist_url = "https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}" r_get_facelist = requests.get(get_facelist_url.format(faceListId),headers=headers) r_get_facelist.json() ``` {'persistedFaces': [{'persistedFaceId': '9ed25cd7-d97d-404f-ad93-2ce188ac69a8', 'userData': 'wcq'}, {'persistedFaceId': '5fe0c65f-d94b-4f30-8b67-9d890e7b971f', 'userData': '丘天惠'}, {'persistedFaceId': 'da8fa3ed-a0f2-44ca-8c9a-70e737f679ec', 'userData': '林嘉茵'}, {'persistedFaceId': '2725813b-2166-47ab-9b90-6ab2abf2d1c7', 'userData': '汤玲萍'}, {'persistedFaceId': '12493c41-fec9-4a69-8968-95bed717d903', 'userData': '曾雯燕'}, {'persistedFaceId': '47ed440f-131e-4589-a7fc-a5b499d53e6e', 'userData': '谢依希'}, {'persistedFaceId': 'da20b597-f787-4cec-bbc7-6afda2b69b02', 'userData': '杨悦聪'}, {'persistedFaceId': 'eab9ce87-26b2-4758-aa92-ea27b1c7ee2c', 'userData': '周雨'}, {'persistedFaceId': '2a75e81e-8a10-4a94-bdf8-661c4093f900', 'userData': '刘瑜鹏'}, {'persistedFaceId': '9de92160-a6f1-44b1-be4f-fed6da615b64', 'userData': '陈嘉仪'}, {'persistedFaceId': 'a8be1065-df0c-4e80-b619-6b97447303c6', 'userData': '徐旖芊'}, {'persistedFaceId': '6d06f21c-9572-45eb-81a2-2245926a6126', 'userData': '刘心如'}, {'persistedFaceId': '8e8c08bc-901b-4018-ae99-38b56c35e1ef', 'userData': '刘宇'}, {'persistedFaceId': '3c1b9b90-c9f1-4713-9c4b-c0c623b04b84', 'userData': '李婷'}, {'persistedFaceId': 'b9cf1d3c-aa01-44ba-bb14-cf3e834b5b2a', 'userData': '黄智毅'}, {'persistedFaceId': 'adcc9f48-6619-4ccd-b053-541500f91622', 'userData': '黄慧文'}, {'persistedFaceId': 'b439cc13-732b-4ce2-b1d0-d5087d5c8e20', 'userData': '张铭睿'}, {'persistedFaceId': '011b1a23-1c7e-47df-a4f1-0c7a34ecd651', 'userData': '陈婷'}, {'persistedFaceId': 'b136b546-0c93-47af-ad72-4bff13634e58', 'userData': '洪可凡'}, {'persistedFaceId': 'cf7aa208-c8c0-4af2-be1e-840c0ff448d2', 'userData': '卢继志'}, {'persistedFaceId': '13a2e24a-69c9-44ea-9100-ded401fba7a0', 'userData': '张梓乐'}], 'faceListId': 'suiqiao78', 'name': 'qqc', 'userData': 'bbq'} ``` # 用Pandas简化数据 import pandas as pd # 返回facelist数据 adf = pd.json_normalize(r_get_facelist.json()["persistedFaces"]) adf ``` ![效果](https://images.gitee.com/uploads/images/2020/1024/140117_8f2309f0_7543526.png "Ａ.PNG") ``` # 返回相似度数据 bdf = pd.json_normalize(r_findsimilars.json())# 升级pandas才能运行 bdf ``` ![效果](https://images.gitee.com/uploads/images/2020/1024/140234_02ac7107_7543526.png "Ｂ.PNG") ``` pd.merge(adf,bdf,how='inner', on='persistedFaceId').sort_values(by="confidence",ascending = False) ``` #这里不知道为什么一开始两个表格不能合并，重新运行一次又好了 ![效果](https://images.gitee.com/uploads/images/2020/1024/140359_33017059_7543526.png "ｃ.PNG") ``` # Detect face 删除列表内人脸id faceListId = "suiqiao78" ``` ``` r_delete_face ``` ``` # 删除列表内人脸 delete_face_url = "https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}/persistedfaces/{}" assert subscription_key # 获取上面的persistedFaceId persistedFaceId = r_add_face.json()["persistedFaceId"] headers = { 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key, } # 注意requests请求为delete r_delete_face = requests.delete(delete_face_url.format(faceListId,persistedFaceId),headers=headers) ``` ``` # 删除人脸列表 delete_facelist_url = "https://api2.cognitiveservices.azure.com/face/v1.0/facelists/{}" assert subscription_key headers = { 'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key, } r_delete_facelist = requests.delete(delete_facelist_url.format(faceListId),headers=headers) ``` ``` r_delete_facelist ``` # Face++ ## 准备工作 ``` api_secret = "ZChjCWQ7eLeIsAx7Rz4YjJXr4xWYDSeU" api_key = 'Vp8rarJ3g1kz8mCan2bTMJeCEOLiTXsF' ``` ``` # 1.FaceSet Create import requests,json display_name = "加油666" #自定义人脸集合的名字 outer_id = "1008" #自定义标识 user_data = "suiqiao" #自定义用户信息 CreateFace_Url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/create" #调用URL payload = { # 请求参数 'api_key': api_key, 'api_secret': api_secret, 'display_name':display_name, 'outer_id':outer_id, 'user_data':user_data } r = requests.post(CreateFace_Url, params=payload) r.json() ``` {'faceset_token': '5eb076ca8c1e7e438101eadc212e9afc', 'time_used': 200, 'face_count': 0, 'face_added': 0, 'request_id': '1603504838,b267b8de-6d67-4d8f-a63b-480583ad6a49', 'outer_id': '1008', 'failure_detail': []} ``` # 2.FaceSet GetDetail（获取人脸集合信息） GetDetail_Url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/getdetail" payload = { 'api_key': api_key, 'api_secret': api_secret, 'outer_id':outer_id, } r = requests.post(GetDetail_Url,params=payload) r.json() ``` {'faceset_token': '5eb076ca8c1e7e438101eadc212e9afc', 'tags': '', 'time_used': 84, 'user_data': 'suiqiao', 'display_name': '加油666', 'face_tokens': [], 'face_count': 0, 'request_id': '1603504959,4231c6cb-d025-46e3-a5e9-5a0c1782d385', 'outer_id': '1008'} ``` # 3.FaceSet AddFace（增加人脸信息） AddFace_url = " https://api-cn.faceplusplus.com/facepp/v3/faceset/addface" payload = { 'api_key': api_key, 'api_secret': api_secret, 'faceset_token':'5eb076ca8c1e7e438101eadc212e9afc', 'face_tokens':'1aff0090208b37e2f8de321a8e2e96c7', # qianmiande } r = requests.post(AddFace_url,params=payload) r.json() ``` {'faceset_token': '5eb076ca8c1e7e438101eadc212e9afc', 'time_used': 80, 'face_count': 0, 'face_added': 0, 'request_id': '1603505363,242bcef6-826b-42ee-890b-722595798052', 'outer_id': '1008', 'failure_detail': [{'reason': 'INVALID_FACE_TOKEN', 'face_token': '1aff0090208b37e2f8de321a8e2e96c7'}]} ``` # 4.FaceSet RemoveFace（移除人脸信息） RemoveFace_url = " https://api-cn.faceplusplus.com/facepp/v3/faceset/removeface" payload = { 'api_key': api_key, 'api_secret': api_secret, 'faceset_token':'5eb076ca8c1e7e438101eadc212e9afc', 'face_tokens':'1aff0090208b37e2f8de321a8e2e96c7', } r = requests.post(RemoveFace_url,params=payload) r.json() ``` {'faceset_token': '5eb076ca8c1e7e438101eadc212e9afc', 'face_removed': 0, 'time_used': 118, 'face_count': 0, 'request_id': '1603505499,54d769c3-2eca-4a67-b853-c2ab9a091d67', 'outer_id': '1008', 'failure_detail': [{'reason': 'FACE_NOT_IN_FACESET', 'face_token': '1aff0090208b37e2f8de321a8e2e96c7'}]} ``` Update_url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/update" payload = { 'api_key': api_key, 'api_secret': api_secret, 'faceset_token':'5eb076ca8c1e7e438101eadc212e9afc', 'user_data':"Test.", } r = requests.post(Update_url,params=payload) r.json() ``` {'faceset_token': '5eb076ca8c1e7e438101eadc212e9afc', 'request_id': '1603506236,536b66ba-951b-4a13-8ef1-a7a9849664ae', 'time_used': 57, 'outer_id': '1008'} ``` # 6.Compare Face（对比人脸相似度） yyqx = "https://i.loli.net/2020/10/24/mq6CidMSutr4Plx.jpg" yyqx2 = "https://i.loli.net/2020/10/24/M4Y9qz6KVQ2XRyi.jpg" xiaozhai = "https://i.loli.net/2020/10/24/HWAMEkcYur5NwyU.jpg" Compare_url = "https://api-cn.faceplusplus.com/facepp/v3/compare" payload ={ 'api_key': api_key, 'api_secret': api_secret, 'image_url1':liudehua01, 'image_url2':wangzulan } r = requests.post(Compare_url,params=payload) r.json() ``` {'faces1': [{'face_rectangle': {'width': 824, 'top': 871, 'left': 1114, 'height': 824}, 'face_token': '1b04411a188d4ff54c25632bdac2377e'}], 'faces2': [{'face_rectangle': {'width': 86, 'top': 91, 'left': 65, 'height': 86}, 'face_token': '0583824b709e63484d4f1814d0d21200'}], 'time_used': 1820, 'thresholds': {'1e-3': 62.327, '1e-5': 73.975, '1e-4': 69.101}, 'confidence': 26.085, 'image_id2': 'g6kg8zfyOouG6ftP+GvEfg==', 'image_id1': 'KIOXEC2V/MyL4zuopAcNig==', 'request_id': '1603506567,fff41d5b-93f4-412c-a22d-bb19eb1c05cf'} # 百度云 ``` Secret_key = 'DH3uIYICbg34zpPXdnNsTHGnoAgKVhjr' API_key = 'BRogF97Qkfqtzuh5Q8Ekhiq4' import requests import base64 import matplotlib.pyplot as plt # plt 用于显示图片 import matplotlib.image as mpimg # mpimg 用于读取图片 #获取access_token def gettoken(): host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=BRogF97Qkfqtzuh5Q8Ekhiq4&client_secret=DH3uIYICbg34zpPXdnNsTHGnoAgKVhjr' response = requests.get(host) if response: return response.json()['access_token'] ``` ``` def getscore(url): f=open(url,'rb')#二进制读写，转换base64 base64_data = base64.b64encode(f.read()) request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect" # 参数 params = { "image":base64_data, "image_type":"BASE64", "face_field":"beauty" } #请求 request_url = request_url + "?access_token=" + gettoken() headers = {'content-type': 'application/json'} response = requests.post(request_url, data=params, headers=headers) if response: print ("经过百度智能云的AI大数据评分，您的颜值分数为：",response.json()['result']['face_list'][0]['beauty']) lena = mpimg.imread(url) plt.imshow(lena) plt.axis('off') plt.show() ``` ``` getscore('C:/Users/ycqq/Desktop/翟.jpg') ``` ![效果](https://images.gitee.com/uploads/images/2020/1024/145342_5a1cf2a2_7543526.png "７.PNG") ## 这个不太会，defeat ``` import requests # client_id 为官网获取的API Key， client_secret 为官网获取的Secret Key host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}' client_id = "tGtBNMzw74rxzFS3kqzStlkm" client_secret = "V1cHTUxTeKs8cntxObggHGoEQPh6n80v" response = requests.get(host.format(client_id, client_secret)) if response: print(response.json()) ``` {'refresh_token': '25.119b23100eca9380c8e2140144971a07.315360000.1918882605.282335-22868460', 'expires_in': 2592000, 'session_key': '9mzdCPL0Tn/8/Su8WCUgwCNF9L6gNIWPgg65o62M30GzwA1XUlFNsjoxlGZ8r5wLFQa2mAc8ONFIXVTcLvcSPZArCmIhxA==', 'access_token': '24.36b9630d03ab86ee08e690693f2998bd.2592000.1606114605.282335-22868460', 'scope': 'public brain_all_scope vis-faceverify_faceverify_h5-face-liveness vis-faceverify_FACE_V3 vis-faceverify_idl_face_merge vis-faceverify_FACE_EFFECT vis-faceverify_face_feature_sdk wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component', 'session_secret': '612035b1bcf0173ac19307f81510239e'} ``` request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect" params = "{\"image\":\"https://ss2.bdstatic.com/70cFvnSh_Q1YnxGkpoWK1HF6hhy/it/u=3430692674,459091344&fm=26&gp=0.jpg\",\"image_type\":\"URL\",\"face_field\":\"faceshape,facetype\"}" # image_type 图片类型：BASE64；URL；FACE_TOKEN。 access_token = '25.119b23100eca9380c8e2140144971a07.315360000.1918882605.282335-22868460' # 这里不太会 request_url = request_url + "?access_token=" + access_token headers = {'content-type': 'application/json'} response = requests.post(request_url, data=params, headers=headers) response.json() ``` # 计算机视觉 ##分析远程图像 ``` import requests # If you are using a Jupyter notebook, uncomment the following line. # %matplotlib inline import matplotlib.pyplot as plt import json from PIL import Image from io import BytesIO # Add your Computer Vision subscription key and endpoint to your environment variables. # if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ: # subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY'] # else: # print("\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\n**Restart your shell or IDE for changes to take effect.**") # sys.exit() endpoint = "https://gxl.cognitiveservices.azure.com/" # if 'COMPUTER_VISION_ENDPOINT' in os.environ: # endpoint = os.environ['COMPUTER_VISION_ENDPOINT'] subscription_key = "754e142aa949439aa27e58b26ae6534c" # base url analyze_url = endpoint+ "vision/v2.1/analyze" # Set image_url to the URL of an image that you want to analyze. image_url = "https://i.loli.net/2020/10/24/DlRLJIBWowp32cU.jpg" headers = {'Ocp-Apim-Subscription-Key': subscription_key} # 参数 params = {'visualFeatures': 'Categories,Description,Color'} # 请求主体body data = {'url': image_url} response = requests.post(analyze_url, headers=headers, params=params, json=data) response.raise_for_status() # The 'analysis' object contains various fields that describe the image. The most # relevant caption for the image is obtained from the 'description' property. analysis = response.json() print(json.dumps(response.json())) image_caption = analysis["description"]["captions"][0]["text"].capitalize() # Display the image and overlay it with the caption. image = Image.open(BytesIO(requests.get(image_url).content)) plt.imshow(image) plt.axis("off") _ = plt.title(image_caption, size="x-large", y=-0.1) plt.show() response.json() ``` ![效果](https://images.gitee.com/uploads/images/2020/1024/150934_8034b087_7543526.png "x1.PNG") {'categories': [{'name': 'others_', 'score': 0.00390625}, {'name': 'people_', 'score': 0.72265625, 'detail': {'celebrities': []}}], 'color': {'dominantColorForeground': 'White', 'dominantColorBackground': 'White', 'dominantColors': [], 'accentColor': '285EA3', 'isBwImg': False, 'isBWImg': False}, 'description': {'tags': ['person', 'man', 'standing', 'holding', 'suit', 'wearing', 'woman', 'jacket', 'dressed', 'posing', 'carrying', 'young', 'walking', 'smiling', 'boy', 'street', 'blue', 'people', 'shirt', 'phone', 'room'], 'captions': [{'text': 'a person wearing a suit and tie', 'confidence': 0.9723753037851468}]}, 'requestId': '1b4382ef-fb11-449f-91c0-0bc8400efe8c', 'metadata': {'height': 700, 'width': 700, 'format': 'Jpeg'}} ##分析本地图片 ``` import os import sys import requests # If you are using a Jupyter notebook, uncomment the following line. # %matplotlib inline import matplotlib.pyplot as plt from PIL import Image from io import BytesIO # Add your Computer Vision subscription key and endpoint to your environment variables. # if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ: # subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY'] # else: # print("\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\n**Restart your shell or IDE for changes to take effect.**") # sys.exit() # if 'COMPUTER_VISION_ENDPOINT' in os.environ: # endpoint = os.environ['COMPUTER_VISION_ENDPOINT'] # analyze_url = endpoint + "vision/v2.1/analyze" # Set image_path to the local path of an image that you want to analyze. image_path = "C:/Users/ycqq/Desktop/一.jpg" analyze_url = "https://gxl.cognitiveservices.azure.com/vision/v2.1/analyze" # Read the image into a byte array image_data = open(image_path,"rb").read() headers = {'Ocp-Apim-Subscription-Key': "754e142aa949439aa27e58b26ae6534c", 'Content-Type': 'application/octet-stream'} params = {'visualFeatures': 'Categories,Description,Color'} response = requests.post( analyze_url, headers=headers, params=params, data=image_data) response.raise_for_status() # The 'analysis' object contains various fields that describe the image. The most # relevant caption for the image is obtained from the 'description' property. analysis = response.json() print(analysis) image_caption = analysis["description"]["captions"][0]["text"].capitalize() # Display the image and overlay it with the caption. image = Image.open(BytesIO(image_data)) plt.imshow(image) plt.axis("off") _ = plt.title(image_caption, size="x-large", y=-0.1) ``` ![效果](https://images.gitee.com/uploads/images/2020/1024/151347_a0f7a0a2_7543526.png "x2.PNG") ##生成缩略图 ``` import os import sys import requests # If you are using a Jupyter notebook, uncomment the following line. # %matplotlib inline import matplotlib.pyplot as plt from PIL import Image from io import BytesIO # Add your Computer Vision subscription key and endpoint to your environment variables. # if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ: # subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY'] # else: # print("\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\n**Restart your shell or IDE for changes to take effect.**") # sys.exit() # if 'COMPUTER_VISION_ENDPOINT' in os.environ: # endpoint = os.environ['COMPUTER_VISION_ENDPOINT'] thumbnail_url = "https://gxl.cognitiveservices.azure.com/" + "vision/v2.1/generateThumbnail" # Set image_url to the URL of an image that you want to analyze. image_url = "https://i.loli.net/2020/10/24/xpe5E4JWiX279qV.jpg " headers = {'Ocp-Apim-Subscription-Key': "754e142aa949439aa27e58b26ae6534c"} params = {'width': '100', 'height': '100', 'smartCropping': 'true'} data = {'url': image_url} response = requests.post(thumbnail_url, headers=headers, params=params, json=data) response.raise_for_status() thumbnail = Image.open(BytesIO(response.content)) # Display the thumbnail. plt.imshow(thumbnail) plt.axis("off") # Verify the thumbnail size. print("Thumbnail is {0}-by-{1}".format(*thumbnail.size)) ``` ##效果图 ![效果图](https://images.gitee.com/uploads/images/2020/1024/151848_4dc9d398_7543526.png "x3.PNG") ##原图 ![原图](https://images.gitee.com/uploads/images/2020/1024/151924_6b7b8e95_7543526.jpeg "yy.jpg") #提取印刷体文本和手写文本 ``` import json import os import sys import requests import time %matplotlib inline import matplotlib.pyplot as plt from matplotlib.patches import Polygon from PIL import Image from io import BytesIO text_recognition_url = endpoint + "/vision/v3.0/read/analyze" # Set image_url to the URL of an image that you want to recognize. image_url = "https://i.loli.net/2020/10/24/5sHzZ7jaXP6lMc1.jpg" headers = {'Ocp-Apim-Subscription-Key': "754e142aa949439aa27e58b26ae6534c"} data = {'url': image_url} response = requests.post(text_recognition_url, headers=headers, json=data) response.raise_for_status() # Extracting text requires two API calls: One call to submit the # image for processing, the other to retrieve the text found in the image. # Holds the URI used to retrieve the recognized text. operation_url = response.headers["Operation-Location"] # The recognized text isn't immediately available, so poll to wait for completion. analysis = {} poll = True while (poll): response_final = requests.get( response.headers["Operation-Location"], headers=headers) analysis = response_final.json() print(json.dumps(analysis, indent=4)) time.sleep(1) if ("analyzeResult" in analysis): poll = False if ("status" in analysis and analysis['status'] == 'failed'): poll = False polygons = [] if ("analyzeResult" in analysis): # Extract the recognized text, with bounding boxes. polygons = [(line["boundingBox"], line["text"]) for line in analysis["analyzeResult"]["readResults"][0]["lines"]] # Display the image and overlay it with the extracted text. image = Image.open(BytesIO(requests.get(image_url).content)) ax = plt.imshow(image) for polygon in polygons: vertices = [(polygon[0][i], polygon[0][i+1]) for i in range(0, len(polygon[0]), 2)] text = polygon[1] patch = Polygon(vertices, closed=True, fill=False, linewidth=2, color='y') ax.axes.add_patch(patch) plt.text(vertices[0][0], vertices[0][1], text, fontsize=20, va="top") plt.show() ``` { "status": "succeeded", "createdDateTime": "2020-10-24T07:30:48Z", "lastUpdatedDateTime": "2020-10-24T07:30:49Z", "analyzeResult": { "version": "3.0.0", "readResults": [ { "page": 1, "angle": -0.2274, "width": 690, "height": 1227, "unit": "pixel", "lines": [ { "boundingBox": [ 188, 509, 364, 509, 364, 539, 188, 537 ], "text": "on my way", "words": [ { "boundingBox": [ 193, 510, 242, 510, 242, 537, 194, 536 ], "text": "on", "confidence": 0.986 }, { "boundingBox": [ 255, 509, 298, 509, 298, 538, 255, 537 ], "text": "my", "confidence": 0.986 }, { "boundingBox": [ 312, 510, 364, 510, 362, 540, 311, 538 ], "text": "way", "confidence": 0.986 } ] }, { "boundingBox": [ 189, 541, 315, 541, 315, 571, 189, 572 ], "text": "to hell :)", "words": [ { "boundingBox": [ 189, 542, 222, 542, 223, 572, 190, 572 ], "text": "to", "confidence": 0.988 }, { "boundingBox": [ 228, 542, 289, 541, 288, 572, 228, 572 ], "text": "hell", "confidence": 0.983 }, { "boundingBox": [ 294, 541, 316, 542, 315, 572, 294, 572 ], "text": ":)", "confidence": 0.636 } ] }, { "boundingBox": [ 193, 608, 308, 607, 309, 639, 193, 640 ], "text": "school'", "words": [ { "boundingBox": [ 193, 608, 309, 608, 309, 640, 194, 641 ], "text": "school'", "confidence": 0.802 } ] } ] } ] } } ![效果](https://images.gitee.com/uploads/images/2020/1024/153353_3fdd8974_7543526.png "６６６.PNG") #学习人脸识别和计算机视觉心得体会 **1.多跟同学交流，向大佬求助，不要把自己困在一个坑太久，如果找了很久都找不到错误所在，尝试问问他人有没有同样的bug，或者请他们帮忙看，有的时候别人一眼看出来的东西你自己就是看不出来。 ２.要花时间去读，去练，去尝试，去犯错，多错几遍你就会错出经验来。不要一开始觉得很难就不去看，这样永远学不会。 ３.其实看到最后运行结果200或者功能实现还是蛮开心的，尝试在这其中找到乐趣和成就感，你才会有动力坚持下去，**