18

所以我正在安装最新版本的 OpenCV 3.2.0 并且它只是卡在 99% 上（即使我将 nproc 传递给 -j 以使其花费很长时间并且我的 nproc 输出为 24），我想知道是否有解决方案因为我不想阻止它。我没有收到任何错误：

CUDA 8
Python 3.4.3
OpenCV3.2.0
Ubuntu 14.04

和

[ 98%] Built target opencv_stitching
Scanning dependencies of target opencv_test_stitching
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BUILD SUCCESSFUL
Total time: 3 seconds
[ 99%] [ 99%] [ 99%] [ 99%] Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/test_matchers.cpp.o
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Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/ocl/test_warpers.cpp.o
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4

4 回答 4

45

好吧，事实证明它卡了很长时间，然后成功地向前移动。不要停止安装。耐心点！

[ 99%] Built target opencv_perf_stitching

Scanning dependencies of target opencv_cudaoptflow
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Building CXX object modules/cudaoptflow/CMakeFiles/opencv_cudaoptflow.dir/src/farneback.cpp.o
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nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
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nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
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[100%] Generating pyopencv_generated_include.h, pyopencv_generated_funcs.h, pyopencv_generated_types.h, pyopencv_generated_type_reg.h, pyopencv_generated_ns_reg.h
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于 2017-01-19T03:46:13.900 回答
10

我有同样的问题。该命令make -j4导致制作过程卡在 99%。与其他幸运的用户不同，尽管等待了几个小时，并且尽管有 7.5 GB 的交换内存，但我的进程并没有解决。

然而，起作用的是我在这个网页上找到的一个建议，它试图用一个单一的核心来构建：

make -j1

它花了更长的时间，但工作。

于 2018-04-16T08:07:03.447 回答
1

你应该增加你的交换。

在我增加交换之前，我的安装也被卡住了。然后就完成了。您可以尝试暂时这样做，看看是否有帮助。

于 2018-01-11T20:36:24.157 回答
0

发生这种情况是因为内存已满，您有两种选择

  1. 增加交换内存（我使用了这些说明）
  2. 构建单核（make -j1），因为并行使用多核构建 python2 和 python3 需要更多内存。
于 2021-09-14T20:28:18.223 回答