filter/mask.html at main · liuCodeBoy/filter · GitHub

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<!DOCTYPE html>
<html>

<head>
    <title>test page</title>
    <style>
        #imgPreview {
            max-width: 800px;
            max-height: 1800px;

            margin: 10px auto 0px auto;
            display: flex;

        }

        #img3 {
            max-width: 800px;
            margin: 0 auto;
            display: block;
            position: relative;

        }

        #test-canvas {
            position: absolute;
            left: 50%;
            top: 50%;
            transform: translate(-50%, -50%);
            max-width: 800px;
            pointer-events: none;
            z-index: 999;
        }

        #prompt3 {
            width: 100px;
            height: 30px;
            text-align: center;
            margin: 10px auto 0px auto;
            position: relative;

        }

        #imgSpan {
            pointer-events: none;
        }

        input {
            position: absolute;
            left: 0;
            top: 0;
        }

        .filepath {
            width: 100%;
            height: 100%;
            opacity: 0;
        }
    </style>
</head>


<body>
    <div id="imgPreview" style="position:relative">
        <img src="./image/test.jpg" id="img3" />
        <canvas id="test-canvas">
    </div>
    <div id="prompt3">
        <span id="imgSpan">
            点击上传
        </span>
        <input type="file" id="file" class="filepath" onchange="changepic(this)"
            accept="image/jpg,image/jpeg,image/png,image/PNG">
    </div>
</body>
<script type="text/javascript" src="//pic.youzu.com/common/jquery-1.8.3.min.js"></script>
<script src="./js/face.js"></script>

<script>
    const prev = async () => {
        const MODEL_URL = './weights'
        await faceapi.loadSsdMobilenetv1Model(MODEL_URL)
        await faceapi.loadFaceLandmarkModel(MODEL_URL)
        await faceapi.loadFaceRecognitionModel(MODEL_URL)
        await faceapi.loadFaceExpressionModel(MODEL_URL)
        await faceapi.loadAgeGenderModel(MODEL_URL)


        const input = document.getElementById('img3')
        const detectionsWithAgeAndGender = await faceapi.detectAllFaces(input).withFaceLandmarks().withAgeAndGender().withFaceExpressions()

        var canvas = document.getElementById('test-canvas');
        const displaySize = { width: input.width, height: input.height }
        faceapi.matchDimensions(canvas, displaySize)

        const resizedDetections = faceapi.resizeResults(detectionsWithAgeAndGender, displaySize)
        console.log(resizedDetections)

        // faceapi.draw.drawFaceLandmarks(canvas, resizedDetections)
        const minProbability = 0.05
        faceapi.draw.drawFaceExpressions(canvas, resizedDetections, minProbability)


        const context = canvas.getContext('2d');

        //替換面部器官
        for (const face of resizedDetections) {
            const features = {
                jaw: face.landmarks.positions.slice(0, 17),
                eyebrowLeft: face.landmarks.positions.slice(17, 22),
                eyebrowRight: face.landmarks.positions.slice(22, 27),
                noseBridge: face.landmarks.positions.slice(27, 31),
                nose: face.landmarks.positions.slice(31, 36),
                eyeLeft: face.landmarks.positions.slice(36, 42),
                eyeRight: face.landmarks.positions.slice(42, 48),
                lipOuter: face.landmarks.positions.slice(48, 60),
                lipInner: face.landmarks.positions.slice(60),
            };

            // for (const eye of [features.eyeLeft, features.eyeRight]) {
            //     const eyeBox = getBoxFromPoints(eye);
            //     const fontSize = 6 * eyeBox.height;

            //     context.font = `${fontSize}px/${fontSize}px serif`;
            //     context.textAlign = 'center';
            //     context.textBaseline = 'bottom';

            //     context.fillStyle = '#000';
            //     context.fillText('👄', eyeBox.center.x, eyeBox.center.y + 0.6 * fontSize);
            // }

        }

        resizedDetections.forEach(element => {
            let box = element.detection.box
            // let age = parseInt(element.age)
            // let gender = element.gender
            // const drawOptions = {
            //     label: age + "_" + gender,
            //     lineWidth: 2
            // }
            // const drawBox = new faceapi.draw.DrawBox(box, drawOptions)
            // drawBox.draw(canvas)
            //替換mask
            var image = new Image();
            image.src = "./image/overlay-skull_06.png";
            let eyebrowLeft = element.landmarks.positions.slice(17, 22);
            let eyeBox = getBoxFromPoints(eyebrowLeft);

            image.onload = function () {
                context.drawImage(image, 0, 10, image.width, image.height, box._x, eyeBox.center.y - (box._height / 2.7), box._width, box._height);
            }
        });
    }
    prev()

    //計算坐標點
    function getBoxFromPoints(points) {
        const box = {
            bottom: -Infinity,
            left: Infinity,
            right: -Infinity,
            top: Infinity,

            get center() {
                return {
                    x: this.left + this.width / 2,
                    y: this.top + this.height / 2,
                };
            },

            get height() {
                return this.bottom - this.top;
            },

            get width() {
                return this.right - this.left;
            },
        };

        for (const point of points) {
            box.left = Math.min(box.left, point.x);
            box.right = Math.max(box.right, point.x);

            box.bottom = Math.max(box.bottom, point.y);
            box.top = Math.min(box.top, point.y);
        }

        return box;
    }


    function changepic() {
        // $("#prompt3").css("display", "none");
        var reads = new FileReader();
        f = document.getElementById('file').files[0];
        reads.readAsDataURL(f);
        reads.onload = function (e) {
            document.getElementById('img3').src = this.result;
            $("#img3").css("display", "block");
            var canvas = document.getElementById('test-canvas');
            const context = canvas.getContext('2d');

            context.clearRect(0, 0, canvas.width, canvas.height);
            prev()
        };
    }
</script>

</html>