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我有一个转换图像的 nodejs 应用程序。我在 pm2 中使用 32gb 的 ram 运行我的应用程序。尝试获取图像的图像数据时出现此错误。我尝试使用 --max-old-space-size 增加节点 js 内存限制，尝试将其增加到 8192 和 32678，但仍然出现错误。

 m[9161:0x41069d0]    18179 ms: Mark-sweep 22.3 (29.2) -> 22.0 (25.2) MB, 23.0 / 0.0 ms  (+ 1.5 ms in 5 steps since start of marking, biggest step 0.8 ms, walltime since start of marking 55 ms) (average mu = 0.998, current mu = 0.963) finalize incremental m[9161:0x41069d0]    27013 ms: Mark-sweep 23.2 (25.2) -> 22.2 (25.2) MB, 3.8 / 0.0 ms  (+ 0.1 ms in 2 steps since start of marking, biggest step 0.1 ms, walltime since start of marking 168 ms) (average mu = 0.999, current mu = 1.000) finalize incremental m

<--- JS stacktrace --->

==== JS stack trace =========================================

Security context: 0x21639e1c08d1 <JSObject>
    0: builtin exit frame: getImageData(this=0x0529133cc801 <CanvasRenderingContext2D map = 0x381c66f8e359>,32150,22958,0,0,0x0529133cc801 <CanvasRenderingContext2D map = 0x381c66f8e359>)

    1: getPoints [0x324589ad9b31] [/var/apps/print-export-worker/getPoints.js:11] [bytecode=0x340f496a0d29 offset=86](this=0x2d04988cd319 <JSGlobal Object>,0x0529133cc801 <CanvasRenderingContext2D map = 0x381c...

FATAL ERROR: v8::ArrayBuffer::New Allocation failed - process out of memory
 1: 0xa09830 node::Abort() [node]
 2: 0xa09c55 node::OnFatalError(char const*, char const*) [node]
 3: 0xb7d71e v8::Utils::ReportOOMFailure(v8::internal::Isolate*, char const*, bool) [node]
 4: 0xb7da99 v8::internal::V8::FatalProcessOutOfMemory(v8::internal::Isolate*, char const*, bool) [node]
 5: 0xb7db7b  [node]
 6: 0xb9b93e  [node]
 7: 0x7f7f87de455f Context2d::GetImageData(Nan::FunctionCallbackInfo<v8::Value> const&) [/var/apps/print-export-worker/node_modules/canvas/build/Release/canvas.node]
 8: 0x7f7f87dd91f9  [/var/apps/print-export-worker/node_modules/canvas/build/Release/canvas.node]
 9: 0xbe96a9  [node]
10: 0xbeb497 v8::internal::Builtin_HandleApiCall(int, unsigned long*, v8::internal::Isolate*) [node]
11: 0x13c5c79  [node]
Aborted
4

2 回答 2

0

在不使用节点画布的情况下从图像中获取图像数据的另一种方法是像这样使用Sharp。

sharp(canvas.toBuffer(), { limitInputPixels: false })
  .raw()
  .ensureAlpha()
  .toBuffer()
  .then((img) => {
    let imageData = new Uint8ClampedArray(img)
    return imageData
  })
  .catch(err => {
    console.log('ERROR IN SHARP', err)
    reject(err)
  })

如果您正在处理大图像，则必须将 limitInputPixels 设置为 false。

于 2021-03-12T14:05:19.100 回答
0

事实证明，我需要做的就是将我的节点版本升级到 14Lts。版本 12 中存在一些限制。

于 2021-03-12T14:01:31.200 回答