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罗广辉
4 days ago ba081132ddc61d29766c7d87789e64ef27e4ee80
packages/utils/common/index.js
@@ -83,87 +83,98 @@
   )
}
// 加载图片并获取原始尺寸
function loadImage(url) {
   return new Promise((resolve, reject) => {
      const image = new Image()
      image.crossOrigin = 'anonymous'
      image.onload = () => {
         if (!image.naturalWidth || !image.naturalHeight) {
            reject(new Error('图片尺寸无效'))
            return
         }
         resolve(image)
      }
      image.onerror = () => reject(new Error('图片加载失败'))
      image.src = url
   })
}
// 在图片上绘制算法框
function renderAiFrame(image, aiFrame, scaleX = 1, scaleY = 1) {
   const canvas = document.createElement('canvas')
   const ctx = canvas.getContext('2d')
   if (!ctx) return ''
   canvas.width = image.naturalWidth
   canvas.height = image.naturalHeight
   ctx.drawImage(image, 0, 0, canvas.width, canvas.height)
   aiFrame.forEach(item => {
      const { x_cen, y_cen, width, height } = item.bbox || {}
      if ([x_cen, y_cen, width, height].some(value => typeof value !== 'number')) return
      const scaledWidth = width * scaleX
      const scaledHeight = height * scaleY
      const x = x_cen * scaleX - scaledWidth / 2
      const y = y_cen * scaleY - scaledHeight / 2
      const label = item.class_name || ''
      const fontSize = Math.max(18, Math.round(canvas.width / 80))
      const labelHeight = fontSize + 10
      const labelY = y - labelHeight >= 0 ? y - labelHeight : y
      ctx.strokeStyle = '#FF3B30'
      ctx.lineWidth = Math.max(3, Math.round(canvas.width / 640))
      ctx.strokeRect(x, y, scaledWidth, scaledHeight)
      if (label) {
         ctx.font = `${fontSize}px Arial`
         const labelWidth = ctx.measureText(label).width + 16
         ctx.fillStyle = '#FF3B30'
         ctx.fillRect(x, labelY, labelWidth, labelHeight)
         ctx.fillStyle = '#FFFFFF'
         ctx.textBaseline = 'middle'
         ctx.fillText(label, x + 8, labelY + labelHeight / 2)
      }
   })
   try {
      return canvas.toDataURL('image/jpeg', 0.92)
   } catch {
      return ''
   }
}
// 异步生成算法成果图片
export async function appendAiImages(item) {
   try {
      const [resultUrl, thumbnail] = await Promise.all([
         getAiImg(replaceWithProxy(item.resultUrl), item.geojson),
         getAiImg(replaceWithProxy(item.thumbnail), item.geojson),
      ])
      console.log()
      if (item.id === '2019312870354416746'){
         console.log(resultUrl)
         console.log(thumbnail)
      const aiFrame = JSON.parse(item.geojson)
      const resultImagePromise = loadImage(item.resultUrl)
      const thumbnailImagePromise = loadImage(item.thumbnail).catch(() => null)
      const resultImage = await resultImagePromise
      item.resultUrl = renderAiFrame(resultImage, aiFrame)
      const thumbnailImage = await thumbnailImagePromise
      if (!thumbnailImage) {
         item.thumbnail = item.resultUrl
         return
      }
      item.resultUrl = resultUrl
      item.thumbnail = thumbnail
      const scaleX = thumbnailImage.naturalWidth / resultImage.naturalWidth
      const scaleY = thumbnailImage.naturalHeight / resultImage.naturalHeight
      item.thumbnail = renderAiFrame(thumbnailImage, aiFrame, scaleX, scaleY)
   } catch {
      item.thumbnail = item.resultUrl
   }
}
// 图片转带ai框的图片
export function getAiImg(url, aiFrameSource) {
export async function drawAiFrame(url, aiFrameSource) {
   if (!url) return url
   if (!aiFrameSource) return url
   // let url = 'https://gimg3.baidu.com/search/src=https%3A%2F%2Fpic.rmb.bdstatic.com%2Fbjh%2Fportrait%2F165a01e1cd859d59133b7755623a6c29.png&refer=http%3A%2F%2Fwww.baidu.com&app=2021&size=r1,1&n=0&g=4&er=404&q=100&maxorilen2heic=2000000?sec=1780851600&t=d5ce5f611eafadd932b84ef14275fbda'
   // const aiFrame1 = '[{"score":0.89990234375,"bbox":{"x_cen":195.5,"y_cen":326.5,"width":117.0,"height":265.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.89306640625,"bbox":{"x_cen":1194.5,"y_cen":559.5,"width":115.0,"height":261.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.88720703125,"bbox":{"x_cen":179.0,"y_cen":955.5,"width":124.0,"height":249.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.88330078125,"bbox":{"x_cen":1198.5,"y_cen":260.5,"width":115.0,"height":285.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.84716796875,"bbox":{"x_cen":204.5,"y_cen":71.5,"width":115.0,"height":143.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.83203125,"bbox":{"x_cen":186.0,"y_cen":657.5,"width":114.0,"height":269.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"},{"score":0.78662109375,"bbox":{"x_cen":1205.5,"y_cen":49.5,"width":117.0,"height":99.0},"class_name":"car","algorithmId":"e71116098eeb1d60cfebd04d30653b151"}]'
   const aiFrame = JSON.parse(aiFrameSource)
   const img = new Image()
   img.crossOrigin = 'anonymous'
   return new Promise(resolve => {
      img.onload = () => {
         if (!img.naturalWidth || !img.naturalHeight) {
            resolve('')
            return
         }
         const canvas = document.createElement('canvas')
         const ctx = canvas.getContext('2d')
         if (!ctx) {
            resolve('')
            return
         }
         canvas.width = img.naturalWidth
         canvas.height = img.naturalHeight
         ctx.drawImage(img, 0, 0, canvas.width, canvas.height)
         aiFrame.forEach(item => {
            let target = item
            const { x_cen, y_cen, width, height } = target.bbox || {}
            if ([x_cen, y_cen, width, height].some(value => typeof value !== 'number')) return
            const x = x_cen - width / 2
            const y = y_cen - height / 2
            const label = target.class_name || ''
            const fontSize = Math.max(18, Math.round(canvas.width / 80))
            const labelHeight = fontSize + 10
            const labelY = y - labelHeight >= 0 ? y - labelHeight : y
            ctx.strokeStyle = '#FF3B30'
            ctx.lineWidth = Math.max(3, Math.round(canvas.width / 640))
            ctx.strokeRect(x, y, width, height)
            if (label) {
               ctx.font = `${fontSize}px Arial`
               const labelWidth = ctx.measureText(label).width + 16
               ctx.fillStyle = '#FF3B30'
               ctx.fillRect(x, labelY, labelWidth, labelHeight)
               ctx.fillStyle = '#FFFFFF'
               ctx.textBaseline = 'middle'
               ctx.fillText(label, x + 8, labelY + labelHeight / 2)
            }
         })
         try {
            resolve(canvas.toDataURL('image/jpeg', 0.92))
         } catch (error) {
            console.log(error)
            resolve('')
         }
      }
      img.onerror = () => resolve('')
      img.src = url
   })
   try {
      const aiFrame = JSON.parse(aiFrameSource)
      const image = await loadImage(url)
      return renderAiFrame(image, aiFrame)
   } catch {
      return ''
   }
}