Merge remote-tracking branch 'origin/main' into feature/v1.2灵机空间-内容上传审核_rxd

# Conflicts:
#	pnpm-lock.yaml
#	src/components/_base/navbar/index.vue
#	src/components/text-over-tips/index.vue
#	src/layouts/Basic.vue
#	src/layouts/Page.vue
#	src/main.ts
#	src/router/constants.ts
#	src/router/index.ts
#	src/router/typeings.d.ts
#	src/utils/tools.ts
This commit is contained in:
rd
2025-08-14 15:06:46 +08:00
51 changed files with 5928 additions and 152 deletions

View File

@ -339,3 +339,181 @@ export const getImageOrientationByUrl = async (url: string): Promise<ImageOrient
const { width, height } = await getImageNaturalSize(url);
return getImageOrientationBySize(width, height);
};
export function getImageMainColor(imageUrl: string): Promise<string> {
return new Promise((resolve, reject) => {
const img = new Image();
img.crossOrigin = 'Anonymous'; // 处理跨域图片
img.src = imageUrl;
img.onload = () => {
// 创建画布缩小图片尺寸以提高性能
const canvas = document.createElement('canvas');
const maxDimension = 100; // 最大尺寸为100px
let width = img.width;
let height = img.height;
// 按比例缩小图片
if (width > height) {
if (width > maxDimension) {
height *= maxDimension / width;
width = maxDimension;
}
} else {
if (height > maxDimension) {
width *= maxDimension / height;
height = maxDimension;
}
}
canvas.width = width;
canvas.height = height;
const ctx = canvas.getContext('2d');
if (!ctx) {
reject(new Error('Canvas context not available'));
return;
}
// 绘制缩小后的图片
ctx.drawImage(img, 0, 0, width, height);
// 获取图片数据
const imageData = ctx.getImageData(0, 0, width, height);
const data = imageData.data;
// 使用中位数切分法提取主色调
const colorGroups = medianCut(data, 8); // 分成8组
// 找出最大的颜色组
let maxGroup = colorGroups[0];
for (let i = 1; i < colorGroups.length; i++) {
if (colorGroups[i].count > maxGroup.count) {
maxGroup = colorGroups[i];
}
}
// 计算组内平均颜色
const avgColor = {
r: Math.round(maxGroup.sumR / maxGroup.count),
g: Math.round(maxGroup.sumG / maxGroup.count),
b: Math.round(maxGroup.sumB / maxGroup.count)
};
resolve(`rgb(${avgColor.r},${avgColor.g},${avgColor.b})`);
};
img.onerror = () => {
reject(new Error('Failed to load image'));
};
});
}
/**
* 中位数切分法进行色彩量化
* @param data 图像数据
* @param levels 切分级别
* @returns 颜色组
*/
function medianCut(data: Uint8ClampedArray, levels: number): any[] {
const colors = [];
for (let i = 0; i < data.length; i += 4) {
const r = data[i];
const g = data[i + 1];
const b = data[i + 2];
const a = data[i + 3];
// 跳过透明像素
if (a < 128) continue;
colors.push({
r, g, b,
count: 1,
sumR: r, sumG: g, sumB: b
});
}
// 如果没有颜色数据,返回默认白色
if (colors.length === 0) {
return [{
count: 1,
sumR: 255, sumG: 255, sumB: 255
}];
}
// 开始中位数切分
let colorGroups = [{
colors,
count: colors.length,
sumR: colors.reduce((sum, c) => sum + c.r, 0),
sumG: colors.reduce((sum, c) => sum + c.g, 0),
sumB: colors.reduce((sum, c) => sum + c.b, 0)
}];
for (let i = 0; i < levels; i++) {
const newGroups = [];
for (const group of colorGroups) {
if (group.colors.length <= 1) {
newGroups.push(group);
continue;
}
// 找出颜色范围最大的通道
const rMin = Math.min(...group.colors.map(c => c.r));
const rMax = Math.max(...group.colors.map(c => c.r));
const gMin = Math.min(...group.colors.map(c => c.g));
const gMax = Math.max(...group.colors.map(c => c.g));
const bMin = Math.min(...group.colors.map(c => c.b));
const bMax = Math.max(...group.colors.map(c => c.b));
const rRange = rMax - rMin;
const gRange = gMax - gMin;
const bRange = bMax - bMin;
let sortChannel = 'r';
if (gRange > rRange && gRange > bRange) {
sortChannel = 'g';
} else if (bRange > rRange && bRange > gRange) {
sortChannel = 'b';
}
// 按最大范围通道排序
group.colors.sort((a, b) => {
if (sortChannel === 'r') {
return a.r - b.r;
} else if (sortChannel === 'g') {
return a.g - b.g;
} else {
return a.b - b.b;
}
});
// 切分中位数
const mid = Math.floor(group.colors.length / 2);
const group1 = group.colors.slice(0, mid);
const group2 = group.colors.slice(mid);
// 添加新组
newGroups.push({
colors: group1,
count: group1.length,
sumR: group1.reduce((sum, c) => sum + c.r, 0),
sumG: group1.reduce((sum, c) => sum + c.g, 0),
sumB: group1.reduce((sum, c) => sum + c.b, 0)
});
newGroups.push({
colors: group2,
count: group2.length,
sumR: group2.reduce((sum, c) => sum + c.r, 0),
sumG: group2.reduce((sum, c) => sum + c.g, 0),
sumB: group2.reduce((sum, c) => sum + c.b, 0)
});
}
colorGroups = newGroups;
}
return colorGroups;
}