mirror of
https://github.com/tsl0922/EPD-nRF5.git
synced 2025-12-06 15:42:48 +08:00
update html
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@@ -413,6 +413,23 @@ body.debug-mode .tool-button.active {
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border-color: var(--primary-hover);
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}
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input[type=text]:disabled,
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input[type=number]:disabled,
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select:disabled {
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opacity: 0.65;
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cursor: not-allowed;
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background-color: #e9ecef;
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color: #6c757d;
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}
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body.debug-mode input[type=text]:disabled,
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body.debug-mode input[type=number]:disabled,
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body.debug-mode select:disabled {
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background-color: #1a1a1a;
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color: #666;
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border-color: #2a2a2a;
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}
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@media (max-width: 768px) {
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.flex-container {
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flex-direction: column;
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@@ -48,12 +48,12 @@
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<fieldset>
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<legend>蓝牙传图</legend>
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<div class="flex-container">
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<input type="file" id="image_file" onchange="update_image(true)" accept=".png,.jpg,.bmp,.webp,.jpeg">
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<input type="file" id="image_file" onchange="updateImage(true)" accept=".png,.jpg,.bmp,.webp,.jpeg">
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</div>
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<div class="flex-container">
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<div class="flex-group">
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<label for="dithering">取模算法</label>
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<select id="dithering" title="取模算法" onchange="update_image(false)">
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<select id="dithering" title="取模算法" onchange="onDitheringChange()">
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<optgroup data-driver="01|04" label="黑白">
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<option value="none">二值化</option>
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<option value="bayer">bayer</option>
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@@ -68,7 +68,7 @@
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</div>
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<div class="flex-group">
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<label for="threshold">阈值</label>
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<input type="number" max="255" min="0" value="125" id="threshold" onchange="update_image(false)">
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<input type="number" max="255" min="1" value="125" id="threshold" oninput="updateImage(false)">
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</div>
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<div class="flex-group debug">
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<label for="mtusize">MTU</label>
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@@ -80,7 +80,7 @@
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<div class="status-bar"><b>状态:</b><span id="status"></span></div>
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<div class="flex-container">
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<div class="flex-group">
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<button id="clearcanvasbutton" type="button" class="secondary" onclick="clear_canvas()">清除画布</button>
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<button id="clearcanvasbutton" type="button" class="secondary" onclick="clearCanvas()">清除画布</button>
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<button id="sendimgbutton" type="button" class="primary" onclick="sendimg()">发送图片</button>
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</div>
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</div>
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@@ -4,11 +4,6 @@ const bwrPalette = [
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[255, 0, 0, 255]
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]
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const bwPalette = [
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[0, 0, 0, 255],
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[255, 255, 255, 255],
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]
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function dithering(ctx, width, height, threshold, type) {
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const bayerThresholdMap = [
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[ 15, 135, 45, 165 ],
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@@ -26,7 +21,6 @@ function dithering(ctx, width, height, threshold, type) {
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lumB[i] = i*0.114;
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}
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const imageData = ctx.getImageData(0, 0, width, height);
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const imageDataLength = imageData.data.length;
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// Greyscale luminance (sets r pixels to luminance of rgb)
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@@ -38,21 +32,15 @@ function dithering(ctx, width, height, threshold, type) {
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let newPixel, err;
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for (let currentPixel = 0; currentPixel <= imageDataLength; currentPixel+=4) {
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if (type === "gray") {
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const factor = 255 / (threshold - 1);
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imageData.data[currentPixel] = Math.round(imageData.data[currentPixel] / factor) * factor;
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} else if (type ==="none") {
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// No dithering
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if (type ==="none") { // No dithering
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imageData.data[currentPixel] = imageData.data[currentPixel] < threshold ? 0 : 255;
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} else if (type ==="bayer") {
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// 4x4 Bayer ordered dithering algorithm
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} else if (type ==="bayer") { // 4x4 Bayer ordered dithering algorithm
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var x = currentPixel/4 % w;
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var y = Math.floor(currentPixel/4 / w);
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var map = Math.floor( (imageData.data[currentPixel] + bayerThresholdMap[x%4][y%4]) / 2 );
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imageData.data[currentPixel] = (map < threshold) ? 0 : 255;
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} else if (type ==="floydsteinberg") {
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// Floyda€"Steinberg dithering algorithm
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newPixel = imageData.data[currentPixel] < 129 ? 0 : 255;
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} else if (type ==="floydsteinberg") { // Floyda€"Steinberg dithering algorithm
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newPixel = imageData.data[currentPixel] < threshold ? 0 : 255;
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err = Math.floor((imageData.data[currentPixel] - newPixel) / 16);
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imageData.data[currentPixel] = newPixel;
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@@ -60,8 +48,7 @@ function dithering(ctx, width, height, threshold, type) {
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imageData.data[currentPixel + 4*w - 4 ] += err*3;
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imageData.data[currentPixel + 4*w ] += err*5;
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imageData.data[currentPixel + 4*w + 4 ] += err*1;
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} else {
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// Bill Atkinson's dithering algorithm
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} else { // Bill Atkinson's dithering algorithm
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newPixel = imageData.data[currentPixel] < threshold ? 0 : 255;
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err = Math.floor((imageData.data[currentPixel] - newPixel) / 8);
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imageData.data[currentPixel] = newPixel;
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@@ -108,36 +95,6 @@ function canvas2bytes(canvas, step = 'bw', invert = false) {
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return arr;
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}
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function getColorDistance(rgba1, rgba2) {
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const [r1, b1, g1] = rgba1;
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const [r2, b2, g2] = rgba2;
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const rm = (r1 + r2 ) / 2;
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const r = r1 - r2;
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const g = g1 - g2;
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const b = b1 - b2;
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return Math.sqrt((2 + rm / 256) * r * r + 4 * g * g + (2 + (255 - rm) / 256) * b * b);
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}
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function getNearColor(pixel, palette) {
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let minDistance = 255 * 255 * 3 + 1;
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let paletteIndex = 0;
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for (let i = 0; i < palette.length; i++) {
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const targetColor = palette[i];
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const distance = getColorDistance(pixel, targetColor);
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if (distance < minDistance) {
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minDistance = distance;
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paletteIndex = i;
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}
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}
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return palette[paletteIndex];
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}
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function getNearColorV2(color, palette) {
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let minDistanceSquared = 255*255 + 255*255 + 255*255 + 1;
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@@ -153,10 +110,8 @@ function getNearColorV2(color, palette) {
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}
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}
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return palette[bestIndex];
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}
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function updatePixel(imageData, index, color) {
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imageData[index] = color[0];
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imageData[index+1] = color[1];
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@@ -22,6 +22,24 @@ const EpdCmd = {
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CFG_ERASE: 0x99,
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};
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function hex2bytes(hex) {
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for (var bytes = [], c = 0; c < hex.length; c += 2)
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bytes.push(parseInt(hex.substr(c, 2), 16));
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return new Uint8Array(bytes);
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}
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function bytes2hex(data) {
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return new Uint8Array(data).reduce(
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function (memo, i) {
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return memo + ("0" + i.toString(16)).slice(-2);
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}, "");
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}
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function intToHex(intIn) {
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let stringOut = ("0000" + intIn.toString(16)).substr(-4)
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return stringOut.substring(2, 4) + stringOut.substring(0, 2);
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}
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function resetVariables() {
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gattServer = null;
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epdService = null;
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@@ -324,29 +342,18 @@ function clearLog() {
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document.getElementById("log").innerHTML = '';
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}
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function hex2bytes(hex) {
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for (var bytes = [], c = 0; c < hex.length; c += 2)
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bytes.push(parseInt(hex.substr(c, 2), 16));
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return new Uint8Array(bytes);
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function onDitheringChange() {
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const mode = document.getElementById('dithering').value;
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const thresholdInput = document.getElementById('threshold');
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thresholdInput.disabled = (mode === '' || mode.startsWith('bwr'));
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updateImage(false);
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}
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function bytes2hex(data) {
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return new Uint8Array(data).reduce(
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function (memo, i) {
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return memo + ("0" + i.toString(16)).slice(-2);
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}, "");
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}
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function intToHex(intIn) {
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let stringOut = ("0000" + intIn.toString(16)).substr(-4)
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return stringOut.substring(2, 4) + stringOut.substring(0, 2);
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}
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async function update_image(clear = false) {
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function updateImage(clear = false) {
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const image_file = document.getElementById('image_file');
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if (image_file.files.length == 0) return;
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if (clear) clear_canvas();
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if (clear) clearCanvas();
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const file = image_file.files[0];
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let image = new Image();;
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@@ -354,11 +361,11 @@ async function update_image(clear = false) {
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image.onload = function(event) {
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URL.revokeObjectURL(this.src);
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ctx.drawImage(image, 0, 0, image.width, image.height, 0, 0, canvas.width, canvas.height);
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convert_dithering()
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convertDithering()
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}
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}
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function clear_canvas() {
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function clearCanvas() {
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if (confirm('清除画布已有内容?')) {
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ctx.fillStyle = 'white';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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@@ -367,14 +374,15 @@ function clear_canvas() {
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return false;
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}
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function convert_dithering() {
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function convertDithering() {
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const mode = document.getElementById('dithering').value;
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if (mode === '') return;
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if (mode.startsWith('bwr')) {
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ditheringCanvasByPalette(canvas, bwrPalette, mode);
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} else {
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dithering(ctx, canvas.width, canvas.height, parseInt(document.getElementById('threshold').value), mode);
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const threshold = document.getElementById('threshold').value;
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dithering(ctx, canvas.width, canvas.height, parseInt(threshold), mode);
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}
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}
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