Upload 2 files
Browse files- src/lib/imageSlicer.js +112 -41
src/lib/imageSlicer.js
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@@ -50,54 +50,94 @@ class ImageSlicer {
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calculateLongImageSliceGrid(width, height, aspectRatio) {
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console.log(`[${new Date().toISOString()}] 📏 长图裁切分析: ${width}x${height}, 比例=${aspectRatio.toFixed(2)}`)
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//
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const isVerticalLong = height > width
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if (isVerticalLong) {
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// 垂直长图:沿高度方向裁切
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const enhancedOverlap = Math.min(this.overlapPixels * 2,
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const sliceHeight = this.maxSize
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const stepY = Math.max(1, sliceHeight - enhancedOverlap)
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//
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return {
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rows,
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cols,
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sliceWidth: width,
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sliceHeight,
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stepX: width,
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stepY,
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totalSlices: rows
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overlapPixels: enhancedOverlap
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}
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} else {
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// 水平长图:沿宽度方向裁切
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const enhancedOverlap = Math.min(this.overlapPixels * 2,
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const sliceWidth = this.maxSize
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const stepX = Math.max(1, sliceWidth - enhancedOverlap)
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//
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return {
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rows,
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cols,
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sliceWidth,
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sliceHeight: height,
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stepX,
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stepY: height,
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totalSlices:
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overlapPixels: enhancedOverlap
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}
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}
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}
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@@ -178,12 +218,32 @@ class ImageSlicer {
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// 生成所有切片
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for (let row = 0; row < grid.rows; row++) {
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for (let col = 0; col < grid.cols; col++) {
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// 验证裁切参数
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if (x < 0 || y < 0 || actualWidth <= 0 || actualHeight <= 0 ||
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@@ -192,24 +252,35 @@ class ImageSlicer {
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console.error(`[${new Date().toISOString()}] 图片尺寸: ${metadata.width}x${metadata.height}`)
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console.error(`[${new Date().toISOString()}] 裁切位置: (${x}, ${y})`)
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console.error(`[${new Date().toISOString()}] 裁切尺寸: ${actualWidth}x${actualHeight}`)
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continue // 跳过这个无效的切片
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}
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console.log(`[${new Date().toISOString()}] 🔪 生成切片 ${row * grid.cols + col + 1}/${grid.totalSlices}: ${actualWidth}x${actualHeight} at (${x},${y})`)
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// 裁切图片并转换为JPEG格式(更好的兼容性)
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const sliceIndex = row * grid.cols + col
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const sliceName = this.generateSliceName(originalName, sliceIndex, grid.totalSlices)
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calculateLongImageSliceGrid(width, height, aspectRatio) {
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console.log(`[${new Date().toISOString()}] 📏 长图裁切分析: ${width}x${height}, 比例=${aspectRatio.toFixed(2)}`)
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// 对于长图,使用更保守的策略,确保不会出现边界错误
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const isVerticalLong = height > width
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if (isVerticalLong) {
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// 垂直长图:沿高度方向裁切
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const enhancedOverlap = Math.min(this.overlapPixels * 2, 200) // 限制最大重叠
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const sliceHeight = this.maxSize
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// 计算需要多少片才能覆盖整个图片
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let rows = 1
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let currentY = 0
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const positions = []
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while (currentY < height) {
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const remainingHeight = height - currentY
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const actualSliceHeight = Math.min(sliceHeight, remainingHeight)
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positions.push({
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y: currentY,
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height: actualSliceHeight
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})
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// 如果这是最后一片,就结束
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if (currentY + actualSliceHeight >= height) {
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break
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}
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// 计算下一片的起始位置
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currentY += actualSliceHeight - enhancedOverlap
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rows++
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}
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console.log(`[${new Date().toISOString()}] 📏 垂直长图策略: ${rows}行x1列, 重叠=${enhancedOverlap}px`)
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console.log(`[${new Date().toISOString()}] 📏 切片位置:`, positions.map(p => `y=${p.y}, h=${p.height}`).join(', '))
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return {
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rows,
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cols: 1,
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sliceWidth: width,
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sliceHeight,
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stepX: width,
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stepY: sliceHeight - enhancedOverlap,
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totalSlices: rows,
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overlapPixels: enhancedOverlap,
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positions // 添加精确的位置信息
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}
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} else {
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// 水平长图:沿宽度方向裁切
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const enhancedOverlap = Math.min(this.overlapPixels * 2, 200) // 限制最大重叠
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const sliceWidth = this.maxSize
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// 计算需要多少片才能覆盖整个图片
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let cols = 1
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let currentX = 0
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const positions = []
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while (currentX < width) {
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const remainingWidth = width - currentX
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const actualSliceWidth = Math.min(sliceWidth, remainingWidth)
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positions.push({
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x: currentX,
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width: actualSliceWidth
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})
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// 如果这是最后一片,就结束
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if (currentX + actualSliceWidth >= width) {
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break
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}
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// 计算下一片的起始位置
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currentX += actualSliceWidth - enhancedOverlap
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cols++
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}
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console.log(`[${new Date().toISOString()}] 📏 水平长图策略: 1行x${cols}列, 重叠=${enhancedOverlap}px`)
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console.log(`[${new Date().toISOString()}] 📏 切片位置:`, positions.map(p => `x=${p.x}, w=${p.width}`).join(', '))
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return {
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rows: 1,
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cols,
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sliceWidth,
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sliceHeight: height,
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stepX: sliceWidth - enhancedOverlap,
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stepY: height,
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totalSlices: cols,
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overlapPixels: enhancedOverlap,
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positions // 添加精确的位置信息
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}
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}
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}
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// 生成所有切片
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for (let row = 0; row < grid.rows; row++) {
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for (let col = 0; col < grid.cols; col++) {
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let x, y, actualWidth, actualHeight
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// 如果有精确的位置信息,使用它
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if (grid.positions) {
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if (grid.rows > 1) {
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// 垂直长图
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const pos = grid.positions[row]
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x = 0
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y = pos.y
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actualWidth = grid.sliceWidth
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actualHeight = pos.height
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} else {
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// 水平长图
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const pos = grid.positions[col]
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x = pos.x
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y = 0
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actualWidth = pos.width
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actualHeight = grid.sliceHeight
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}
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} else {
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// 使用传统的计算方式
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x = col * grid.stepX
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y = row * grid.stepY
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actualWidth = Math.min(grid.sliceWidth, metadata.width - x)
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actualHeight = Math.min(grid.sliceHeight, metadata.height - y)
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}
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// 验证裁切参数
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if (x < 0 || y < 0 || actualWidth <= 0 || actualHeight <= 0 ||
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console.error(`[${new Date().toISOString()}] 图片尺寸: ${metadata.width}x${metadata.height}`)
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console.error(`[${new Date().toISOString()}] 裁切位置: (${x}, ${y})`)
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console.error(`[${new Date().toISOString()}] 裁切尺寸: ${actualWidth}x${actualHeight}`)
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console.error(`[${new Date().toISOString()}] 边界检查: x+w=${x + actualWidth} <= ${metadata.width}, y+h=${y + actualHeight} <= ${metadata.height}`)
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continue // 跳过这个无效的切片
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}
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console.log(`[${new Date().toISOString()}] 🔪 生成切片 ${row * grid.cols + col + 1}/${grid.totalSlices}: ${actualWidth}x${actualHeight} at (${x},${y})`)
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console.log(`[${new Date().toISOString()}] 🔍 边界验证: 图片${metadata.width}x${metadata.height}, 裁切区域(${x},${y},${actualWidth},${actualHeight})`)
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// 裁切图片并转换为JPEG格式(更好的兼容性)
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let sliceBuffer
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try {
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sliceBuffer = await image
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.extract({
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left: x,
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top: y,
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width: actualWidth,
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height: actualHeight
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})
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.jpeg({
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quality: 90, // 高质量JPEG
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progressive: false
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})
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.toBuffer()
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} catch (extractError) {
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console.error(`[${new Date().toISOString()}] ❌ Sharp裁切失败:`)
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console.error(`[${new Date().toISOString()}] 错误: ${extractError.message}`)
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console.error(`[${new Date().toISOString()}] 参数: left=${x}, top=${y}, width=${actualWidth}, height=${actualHeight}`)
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console.error(`[${new Date().toISOString()}] 图片: ${metadata.width}x${metadata.height}`)
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throw extractError
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}
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const sliceIndex = row * grid.cols + col
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const sliceName = this.generateSliceName(originalName, sliceIndex, grid.totalSlices)
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