今天我试着实现object detection api in tensorflow
。在完成培训过程后,我试着运行程序到detect objects in webcam
。当我运行它时,终端上打印了下面的消息
Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.05GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available
由于性能问题,我似乎得到了很多false positives
。为了运行这个程序how much memory is necessary
?
更进一步说,我们如何计算任何程序所需的内存?
附言:我不是问它使用了多少内存,我们可以查出来。I am using python
。你知道吗
目前没有回答
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