-1

当我从https://github.com/rbgirshick/py-faster-rcnn/tree/master运行演示以及演示成功完成之前的所有其他步骤时，出现以下错误：

mona@pascal:~/computer_vision/py-faster-rcnn$ ./tools/demo.py
Traceback (most recent call last):
  File "./tools/demo.py", line 18, in <module>
   m from fast_rcnn.test import im_detect
  File "/home/mona/computer_vision/py-faster-rcnn/tools/../lib/fast_rcnn/test.py", line 17, in <module>
    from fast_rcnn.nms_wrapper import nms
  File "/home/mona/computer_vision/py-faster-rcnn/tools/../lib/fast_rcnn/nms_wrapper.py", line 9, in <module>
    from nms.gpu_nms import gpu_nms
ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory

我有以下系统设置：

CuDNN V4
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17
$ uname -a
Linux pascal 3.13.0-62-generic #102-Ubuntu SMP Tue Aug 11 14:29:36 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
$ lspci | grep -i nvidia
03:00.0 3D controller: NVIDIA Corporation GK110BGL [Tesla K40c] (rev a1)
83:00.0 3D controller: NVIDIA Corporation GK110BGL [Tesla K40c] (rev a1)
$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 14.04.5 LTS
Release:    14.04
Codename:   trusty
$ gcc --version
gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4
Copyright (C) 2013 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

问题是什么，如何解决？

4

3 回答 3

1

虽然不是一个简洁的解决方案，但我最终更改了使用 CUDA 7.0 的路径。无论出于何种原因，Faster RCNN 目前似乎与 Ubuntu 14.04 上的 CUDA 7.5 不兼容。在 Ubuntu 15.10 上，我让它与具有相同设置的 CUDA7.5 一起工作！！！！

于 2016-09-01T00:02:01.447 回答
1

试试这个：为我工作。

export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
于 2016-09-02T10:22:12.003 回答
0

一个解决方案可能是将 CUDA_PATH 更改为 make.sh 文件中的真正 cuda 路径。

于 2018-01-26T11:33:45.940 回答