我编写了迭代图像处理函数和下面列出的部分函数。
Log.d(TAG, "#1 $iterNum")
val alphaBlendedMat = Mat(targetMat.height(), targetMat.width(), CvType.CV_8UC4)
for (i in 0..iterNum) {
val alpha = fromAlpha + i * (toAlpha - fromAlpha) / iterNum
// Border thickness
val windowMaskIter = Mat()
windowMask.copyTo(windowMaskIter)
erode(windowMask, windowMask, kernel)
Core.bitwise_xor(windowMaskIter, windowMask, windowMaskIter)
// Src+target alpha blending
val alphaBlendedMatTmp = Mat(targetMat.height(), targetMat.width(), CvType.CV_8UC4)
Core.addWeighted(srcMat,
alpha,
targetMat.submat(roiTarget),
1 - alpha,
0.0,
alphaBlendedMatTmp.submat(roiTarget))
Core.copyTo(alphaBlendedMatTmp.submat(roiTarget), alphaBlendedMat.submat(roiTarget), windowMaskIter)
windowMaskIter.release()
alphaBlendedMatTmp.release()
}
Log.d(TAG, "#2")
当 iterNum 接近 60 时,该代码段无任何异常地失败。Profiler 显示的内存使用量超过了模拟器实例上允许的内存使用量(~0.8Gb)。当我以迭代方式创建和发布新 Mats 时,我做错了什么?我相信如果我手动释放垫子,那么 GC 应该在需要新分配时释放内存。GC有问题还是我对事物的理解有问题?
解决者:
for (i in 0..iterNum) {
val alpha = fromAlpha + i * (toAlpha - fromAlpha) / iterNum
// Border thickness
val windowMaskIter = Mat()
windowMask.copyTo(windowMaskIter)
erode(windowMask, windowMask, kernel)
Core.bitwise_xor(windowMaskIter, windowMask, windowMaskIter)
// Src+target alpha blending
val alphaBlendedMatTmp = Mat(targetMat.height(), targetMat.width(), CvType.CV_8UC4)
val targetRoi = targetMat.submat(roiTarget)
val alphaBlendedMatTmpRoi = alphaBlendedMatTmp.submat(roiTarget)
Core.addWeighted(srcMat,
alpha,
targetRoi,
1 - alpha,
0.0,
alphaBlendedMatTmpRoi)
val alphaBlendedMatRoi = alphaBlendedMat.submat(roiTarget)
Core.copyTo(alphaBlendedMatTmpRoi, alphaBlendedMatRoi, windowMaskIter)
targetRoi.release()
windowMaskIter.release()
alphaBlendedMatRoi.release()
alphaBlendedMatTmp.release()
alphaBlendedMatTmpRoi.release()
}