百度人脸检测：https://console.bce.baidu.com/ai/?fromai=1#/ai/face/overview/index

免费资源包用完需要付费。

1、百度开通人脸检测

创建应用：https://console.bce.baidu.com/ai/?fromai=1#/ai/face/app/list

新建组->新建用户

实名认证->领取“人脸检测”资源：https://console.bce.baidu.com/ai/#/ai/face/overview/resource/getFree

2、uni
微信小程序：uni.createCameraContext()

0、展示

<up-modal :show="show"  title="人脸检测" @confirm="close()"><view class="slot-content"><!-- "front"表示使用前置摄像头、"back"表示使用后置摄像头，高度不能太小 --><camera device-position="front" flash="off" style="width: 300px; height: 300px;border-radius: 50%;"></camera>
</view>
</up-modal>// 使用 reactive 创建响应式状态
const state = reactive({baiduApiData: {apikey: '', // 创建应用时生成SecretKey: '' // 创建应用时生成},access_token: '',base64Img: '',// 检测到人脸的照片baseImage: ''
});// 弹窗
const show = ref(false); 
const close = () => {show.value = false
}
const show_camera = () => {show.value = true// 初始化相机之后再调用，不然报错setTimeout(() => {to_camera()}, 1000);
}

1、拍照
2、图片 base64编码

const to_camera = () => {uni.showLoading({title: '加载中'});const cameraContext = uni.createCameraContext();cameraContext.takePhoto({quality: 'high',success: (res) => {console.log("cameraContext", res.tempImagePath)wx.getFileSystemManager().readFile({filePath: res.tempImagePath, //选择图片返回的相对路径encoding: 'base64', //编码格式success: (res) => { //成功的回调state.base64Img = res.dataconsole.log("getFileSystemManager", res)getAccessToken()}})},fail: (err) => {uni.hideLoading();console.log("to_camera02", err)}});
}

3、百度人脸检测获取token

const getAccessToken = () => {// 每次更新access_tokenlet baiduApiData = state.baiduApiData;uni.request({url: "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id="+baiduApiData.apikey+"&client_secret="+baiduApiData.SecretKey,method: 'POST',dataType: "json",header: {'content-type': 'application/json'},success: function(res) {state.access_token = res.data.access_token;console.log("getAccessToken", res.data.access_token)//获取到token后开始检测人像setTimeout(()=>{initBaiDuApiFunction()},1000)},fail(err) {uni.hideLoading();console.log(err)}})
}

4、检测人脸数据（传base64图片）

const initBaiDuApiFunction = () => {uni.request({url: "https://aip.baidubce.com/rest/2.0/face/v3/detect?access_token=" + state.access_token,data: {//具体参数请自动查看apiimage: state.base64Img,image_type: "BASE64",max_face_num: 1,face_field: 'quality',},method: 'POST',dataType: "json",header: {'content-type': 'application/json'},success: function(res) {console.log(res)if (res.data.error_code === 0) { //检测到人脸就开启拍照let faceList = res.data.result.face_list[0];let face_probability = faceList.face_probability > 0.6; //人脸置信度let quality = faceList.quality; //人脸质量let blur = quality.blur < 0.5; //人脸模糊度 0-1 0清晰 1模糊// let illumination = quality.illumination > 100; //脸部光照度 暂时不用// left_eye : 0.6, #左眼被遮挡的阈值// right_eye : 0.6, #右眼被遮挡的阈值// nose : 0.7, #鼻子被遮挡的阈值// mouth : 0.7, #嘴巴被遮挡的阈值// left_cheek : 0.8, #左脸颊被遮挡的阈值// right_cheek : 0.8, #右脸颊被遮挡的阈值// chin_contour : 0.6, #下巴被遮挡阈值let  occlusion =quality.occlusion;//遮挡情况let location = faceList.location;//头像位置信息let top = location.top;let left = location.left;let completeness = quality.completeness == 1; //人脸完整度if (face_probability && blur && completeness) {//获取人脸较为清晰可以开始身份检测state.baseImage = 'data:image/png;base64,'+ state.base64Img//获取到的图片base64uni.showToast({title:"人脸检测成功！"})show.value = falseuni.hideLoading();}else{uni.showToast({title:"检测失败！"})//否则重新开始拍照setTimeout(()=>{to_camera()},1000)}} else {//没有检测到人脸也重新开始拍照setTimeout(()=>{to_camera()},1000)}},fail(err) {uni.hideLoading();console.log(err)}})
}