Faster RCNN:libcudart.so.7.0: cannot open shared object file: No such file or directory
<p>I get the following error when I run the demo from <a href="https://github.com/rbgirshick/py-faster-rcnn/tree/master" rel="nofollow">https://github.com/rbgirshick/py-faster-rcnn/tree/master</a> and all the other steps before demo has been done successfully:</p>

<pre><code>mona@pascal:~/computer_vision/py-faster-rcnn$ ./tools/demo.py
Traceback (most recent call last):
  File "./tools/demo.py", line 18, in &lt;module&gt;
   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 &lt;module&gt;
    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 &lt;module&gt;
    from nms.gpu_nms import gpu_nms
ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory
</code></pre>

<p>I have the following system settings:</p>

<pre><code>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.
</code></pre>

<p>What is the issue and how can it be solved?</p>

<p>While not a neat solution, I ended up changing the paths to use CUDA 7.0. For whatever reason, seems Faster RCNN currently is not compatible with CUDA 7.5 on Ubuntu 14.04. On Ubuntu 15.10 I had it work with CUDA7.5 with the same exact settings!!!!</p>

python cuda shared-libraries caffe cudnn