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Stuck at demo_detect #29
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Did you use cudnn-v5.1 for cuda-8.0 (note that there are versions for cuda-7.5 and cuda-8.0)? Did the following command link to the correct library? ldd caffe/build/install/bin/caffe | grep cudnn |
Hi Tong, Yes, I used cudnn-5.1 for cuda 8.0. if built with cudnn, caffe links to:
else the ps: the cmake command was |
Could you please check the output of ls -al /usr/local/cuda/lib64/libcudnn* And what's the GPU's memory size? |
The output is
The GPU memory size is 11439MiB(Tesla K80). |
I suspect that our cmake config for CUDA is outdated and your GPU arch is currently not supported. |
Hi, I suppose this isn't working. Using the official config would cause
when executing I tried replace the whole Yet the official repo can be compiled and runs well. |
Hey,could you tell me how to get the dataset the author provided in README?Thank you very much! |
@DeanChan is it able to run with GPU now? |
Hi @Cysu Forgot this issue being opening here, sorry. It is able to run on a Tesla K80 GPU now, without docker, which was where I compile the code. I still don't know why the issue happened, given the fact that the official caffe runs pretty well inside docker. Anyway, I'll close this issue now. Many thanks for your help! |
@njustzjw You can request the dataset via e-mail: |
Many thanks for your links! I got it.
I have another question。Do you write a new class similar to the psdb.py?
At 2017-07-04 09:47:28, "陈狄" <notifications@github.com> wrote:
@njustzjw You can request the dataset via e-mail:
Request the dataset from sli [at] ee.cuhk.edu.hk or xiaotong [at] ee.cuhk.edu.hk (academic only)
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@njustzjw Didn't do that. Just trying to run the demo. |
Then,haven't you trained your own data?
At 2017-07-04 10:01:36, "陈狄" <notifications@github.com> wrote:
@njustzjw Didn't do that. Just trying to run the demo.
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@njustzjw Nope. |
@DeanChan good to know that! Some library dependency might be different between ours and the official caffe. Thanks very much for pointing out this docker issue. I will check about it later when available. |
Hi there~
I got a problem here running
tools/demo.py
. The script stuck atdemo_detect(net, query_img)
tracing back toblobs_out = net.forward(**forward_kwargs)
andself._forward(start_ind, end_ind)
There is no other information printed while the python process keeps running(checked by
top
). This problem won't appear when running on CPU(--gpu -1
).The CUDA version is 8.0. Didn't compile with cudnn 'cuz there would be a
Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
issue when running this script.Thank you.
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