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Image Extract (Circle Gesture)

Trigger image extract popup by drawing a circle gesture

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

// ==UserScript==
// @name         Image Extract (Circle Gesture)
// @namespace    CircleGestureImageExtract
// @version      1.0
// @description  Trigger image extract popup by drawing a circle gesture
// @match        *://*/*
// ==/UserScript==

(function() {
    'use strict';

    function createUI(images) {
        if (document.querySelector('#image-extract-panel')) return;

        const panel = document.createElement('div');
        panel.id = 'image-extract-panel';
        panel.style.position = 'fixed';
        panel.style.top = '10px';
        panel.style.left = '10px';
        panel.style.background = '#222';
        panel.style.color = '#eee';
        panel.style.border = '1px solid #555';
        panel.style.padding = '10px';
        panel.style.zIndex = 999999;
        panel.style.maxHeight = '400px';
        panel.style.overflowY = 'auto';
        panel.style.width = '300px';

        const closeBtn = document.createElement('span');
        closeBtn.textContent = '×';
        closeBtn.style.cursor = 'pointer';
        closeBtn.style.float = 'right';
        closeBtn.style.fontSize = '18px';
        closeBtn.style.fontWeight = 'bold';
        closeBtn.onclick = () => panel.remove();
        panel.appendChild(closeBtn);

        const title = document.createElement('div');
        title.textContent = `Found ${images.length} images`;
        title.style.fontWeight = 'bold';
        panel.appendChild(title);

        const list = document.createElement('div');
        images.forEach(src => {
            const thumb = document.createElement('img');
            thumb.src = src;
            thumb.style.maxWidth = '100%';
            thumb.style.margin = '5px 0';
            list.appendChild(thumb);
        });
        panel.appendChild(list);

        document.body.appendChild(panel);
    }

    function extractImages() {
        const imgs = Array.from(document.querySelectorAll('img'))
            .map(img => img.src)
            .filter(src => src && src.startsWith('http'));

        const bgImgs = Array.from(document.querySelectorAll('*'))
            .map(el => getComputedStyle(el).backgroundImage)
            .filter(bg => bg && bg.startsWith('url'))
            .map(bg => bg.replace(/^url\(["']?/, '').replace(/["']?\)$/, ''));

        const allImgs = [...imgs, ...bgImgs];
        if (allImgs.length > 0) {
            createUI(allImgs);
        } else {
            alert("No images found!");
        }
    }

    // Gesture detection
    let gesturePoints = [];
    let canvas, ctx;

    function initCanvas() {
        if (canvas) return;
        canvas = document.createElement('canvas');
        canvas.style.position = 'fixed';
        canvas.style.top = 0;
        canvas.style.left = 0;
        canvas.width = window.innerWidth;
        canvas.height = window.innerHeight;
        canvas.style.zIndex = 999998;
        canvas.style.pointerEvents = 'none';
        document.body.appendChild(canvas);
        ctx = canvas.getContext('2d');
    }

    function drawPath(points) {
        ctx.clearRect(0, 0, canvas.width, canvas.height);
        ctx.strokeStyle = 'rgba(0,255,0,0.5)';
        ctx.lineWidth = 3;
        ctx.beginPath();
        ctx.moveTo(points[0][0], points[0][1]);
        for (let i = 1; i < points.length; i++) {
            ctx.lineTo(points[i][0], points[i][1]);
        }
        ctx.stroke();
    }

    document.addEventListener('touchstart', e => {
        initCanvas();
        gesturePoints = [];
        const touch = e.touches[0];
        gesturePoints.push([touch.clientX, touch.clientY]);
    });

    document.addEventListener('touchmove', e => {
        const touch = e.touches[0];
        gesturePoints.push([touch.clientX, touch.clientY]);
        drawPath(gesturePoints);
    });

    document.addEventListener('touchend', () => {
        ctx.clearRect(0, 0, canvas.width, canvas.height);
        if (isCircleGesture(gesturePoints)) {
            extractImages();
        }
    });

    function isCircleGesture(points) {
        if (points.length < 6) return false;

        const xs = points.map(p => p[0]);
        const ys = points.map(p => p[1]);
        const w = Math.max(...xs) - Math.min(...xs);
        const h = Math.max(...ys) - Math.min(...ys);

        // bounding box roughly square
        const aspect = w / h;
        if (aspect < 0.5 || aspect > 2.0) return false;

        // path length check
        let pathLen = 0;
        for (let i = 1; i < points.length; i++) {
            const dx = points[i][0] - points[i-1][0];
            const dy = points[i][1] - points[i-1][1];
            pathLen += Math.sqrt(dx*dx + dy*dy);
        }
        if (pathLen < Math.max(w,h) * 1.5) return false;

        // average radius consistency
        const cx = (Math.max(...xs) + Math.min(...xs)) / 2;
        const cy = (Math.max(...ys) + Math.min(...ys)) / 2;
        const radii = points.map(p => Math.sqrt((p[0]-cx)**2 + (p[1]-cy)**2));
        const avgR = radii.reduce((a,b)=>a+b,0)/radii.length;
        const variance = radii.reduce((a,b)=>a+(b-avgR)**2,0)/radii.length;
        if (Math.sqrt(variance) > avgR * 0.4) return false;

        // start-end proximity
        const dx = points[0][0] - points[points.length-1][0];
        const dy = points[0][1] - points[points.length-1][1];
        const dist = Math.sqrt(dx*dx + dy*dy);
        if (dist > avgR * 0.6) return false;

        return true;
    }
})();