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AgeAndGenderRecognition.vue
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AgeAndGenderRecognition.vue
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<script setup>
import * as faceapi from "@vladmandic/face-api";
import { onMounted, reactive, watch } from "vue";
/**属性状态 */
const state = reactive({
/**初始化模型加载 */
netsLoadModel: true,
/**算法模型 */
netsType: "ssdMobilenetv1",
/**模型参数 */
netsOptions: {
ssdMobilenetv1: undefined,
tinyFaceDetector: undefined,
},
/**box面框分值, landmark面部轮廓, ageGender年龄性别 */
draws: ["box", "ageGender"],
/**图片元素 */
imgEl: null,
/**画布图层元素 */
canvasEl: null,
});
/**初始化模型加载 */
async function fnLoadModel() {
// 模型文件访问路径
const modelsPath = `/models`;
// 面部轮廓模型
await faceapi.nets.faceLandmark68Net.load(modelsPath);
// 年龄性别模型
await faceapi.nets.ageGenderNet.load(modelsPath);
// 模型参数-ssdMobilenetv1
await faceapi.nets.ssdMobilenetv1.load(modelsPath);
state.netsOptions.ssdMobilenetv1 = new faceapi.SsdMobilenetv1Options({
minConfidence: 0.5, // 0 ~ 1
maxResults: 50, // 0 ~ 100
});
// 模型参数-tinyFaceDetector
await faceapi.nets.tinyFaceDetector.load(modelsPath);
state.netsOptions.tinyFaceDetector = new faceapi.TinyFaceDetectorOptions({
inputSize: 416, // 160 224 320 416 512 608
scoreThreshold: 0.5, // 0 ~ 1
});
// 输出库版本
console.log(
`FaceAPI Version: ${
faceapi?.version || "(not loaded)"
} \nTensorFlow/JS Version: ${
faceapi.tf?.version_core || "(not loaded)"
} \nBackend: ${
faceapi.tf?.getBackend() || "(not loaded)"
} \nModels loaded: ${faceapi.tf.engine().state.numTensors} tensors`
);
// 节点元素
state.imgEl = document.getElementById("page_draw-img");
state.canvasEl = document.getElementById("page_draw-canvas");
// 关闭模型加载
state.netsLoadModel = false;
}
/**根据模型参数识别绘制 */
async function fnRedraw() {
if (!state.imgEl || !state.canvasEl) return;
const detect = await faceapi
.detectAllFaces(state.imgEl, state.netsOptions[state.netsType])
// 需引入面部轮廓模型
.withFaceLandmarks()
// 需引入年龄性别模型
.withAgeAndGender();
// 匹配元素大小
const dims = faceapi.matchDimensions(state.canvasEl, state.imgEl, false);
const result = faceapi.resizeResults(detect, dims);
// 面框分值
if (state.draws.includes("box")) {
faceapi.draw.drawDetections(state.canvasEl, result);
}
// 面部轮廓
if (state.draws.includes("landmark")) {
// 需引入面部轮廓模型
faceapi.draw.drawFaceLandmarks(state.canvasEl, result);
}
// 年龄性别
if (state.draws.includes("ageGender")) {
// 需引入年龄性别模型模型
result.forEach((item) => {
const { age, gender, genderProbability } = item;
new faceapi.draw.DrawTextField(
[
`${Math.round(age)} Age`,
`${gender} (${Math.round(genderProbability)})`,
],
item.detection.box.bottomLeft
).draw(state.canvasEl);
});
}
}
/**更换图片 */
async function fnChange(e) {
if (!state.imgEl || !state.canvasEl) return;
if (!e.target || !e.target.files.length) return;
// 将文件显示为图像并识别
const img = await faceapi.bufferToImage(e.target.files[0]);
state.imgEl.src = img.src;
await fnRedraw();
}
// 模型变更
watch(
() => state.netsType,
() => {
fnRedraw();
}
);
// 面框变更
watch(
() => state.draws,
() => {
fnRedraw();
}
);
onMounted(() => {
fnLoadModel().finally(() => fnRedraw());
});
</script>
<template>
<div class="page">
<div class="page_option">
<div>
<label>更换图片:</label>
<input
type="file"
accept="image/png, image/jpeg"
@change="fnChange($event)"
/>
</div>
<div>
<label>面框分值:</label>
<input type="checkbox" value="box" v-model="state.draws" />
</div>
<div>
<label>面部轮廓:</label>
<input type="checkbox" value="landmark" v-model="state.draws" />
</div>
<div>
<label>年龄性别:</label>
<input type="checkbox" value="ageGender" v-model="state.draws" />
</div>
<div>
<label>算法模型:</label>
<select v-model="state.netsType">
<option value="ssdMobilenetv1">SSD Mobilenet V1</option>
<option value="tinyFaceDetector">Tiny Face Detector</option>
</select>
</div>
</div>
<div class="page_load" v-show="state.netsLoadModel">Load Model...</div>
<div class="page_draw" v-show="!state.netsLoadModel">
<img id="page_draw-img" src="/images/cp/cp01.jpg" />
<canvas id="page_draw-canvas"></canvas>
</div>
</div>
</template>
<style scoped></style>