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请问算法是否可以用gpu加速,gpu计算能不能实现实时计算 #1
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谢谢您的耐心解答.对立体匹配的研究现状不够了解,看论文匹配的效果好像都还不错,但实际跑自己的图片效果却一般,作为门外汉,能否再请教您两个问题: |
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之前用过加权中值滤波算法,在opencv的DISOpticalFlow和NVIDIA提供的开源库visionworks中的SGBM方法的结果上进行滤波,效果很一般.是不是想要在tx2上实时跑,现有算法基本上效果就这样了,比较难提升了 |
嗯, 如果不加速的版本都达不到预期效果,那加速的也是达不到效果的,我看你这个,是不是没有做噪声剔除呢?
laidongd <notifications@github.com> 于2020年9月1日周二 上午10:28写道:
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之前用过加权中值滤波算法,在opencv的DISOpticalFlow和NVIDIA提供的开源库visionworks中的SGBM方法的结果上进行滤波,效果很一般.是不是想要在tx2上实时跑,现有算法基本上效果就这样了,比较难提升了
[image: image]
<https://user-images.githubusercontent.com/38065519/91787980-a5f9e780-ec3d-11ea-8393-dafadc17067c.png>
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这是visionwork的结果,没做噪声剔除,如果做噪声剔除同时会把点云变得很稀疏,剔的效果也不好,是不是我用的滤波算法有问题,试过加权中值滤波效果并不好 |
噪声剔除力度一般即可,如果是剔除后产生的视差图小洞,可以用中值滤波来填补,效果没达到,可以调整下滤波的窗口大小。
laidongd <notifications@github.com> 于2020年9月1日周二 下午12:09写道:
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这是visionwork的结果,没做噪声剔除,如果做噪声剔除同时会把点云变得很稀疏,剔的效果也不好,是不是我用的滤波算法有问题,试过加权中值滤波效果并不好
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1.请问算法是否可以用gpu加速,gpu计算能不能实现实时计算
2.我跑了一下算法,匹配的效果比SemiGlobalMatching看起来要好很多,生成的地面很平,但有障碍物时旁边的地面会整体发生偏移.不知道精度对比SemiGlobalMatching是否有优势,还是过度平滑的结果.
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