Comments (4)
Hi,
What does it mean by "--bind :_"? Could you try to run the image without "--bind" ?
from deepmot.
I tried with :
~/deepMOT$ singularity shell --nv ./SingularityImages/tracker.sif
but again the same error popped up, I also reinstalled Singularity but no luck.
from deepmot.
Hi,
That's weird. I don't have the issue using singularity version 3.5.3. Could you try this? otherwise, you can build your own singularity image with the following recipe:
Bootstrap: docker
#From: pytorch/pytorch:0.4.1-cuda9-cudnn7-devel
From: floydhub/pytorch:0.4.1-gpu.cuda9cudnn7-py3.40
%post
# Reinstall most current tensorbaordX, something magic about pip...
apt-get update && apt-get install -y --no-install-recommends \
libgtk2.0-0 \
libcanberra-gtk-module \
build-essential \
cmake \
git \
curl \
vim \
ca-certificates \
libjpeg-dev \
libpng-dev &&\
rm -rf /var/lib/apt/lists/*
pip install tensorboardx
pip --no-cache-dir install motmetrics
pip --no-cache-dir install matplotlib
from deepmot.
I am new to linux environment, how can I implement this project as a jupyter notebook?
I see this as a wonderful opportunity to learn a state-of-the-art technology please guide me.
It would be really helpful as I could implement this on a better GPU from Google Colab.
from deepmot.
Related Issues (20)
- What are the meanings of the parameters of the missedMatchErrorV3 method?
- How to train DHN? HOT 1
- evaluation results lower than the results you shown in your paper HOT 1
- request HOT 1
- Why does the running result look so bad?
- verison request HOT 1
- Questions on the dataset for DHN and training process HOT 3
- AttributeError: 'FPN' object has no attribute 'reid_branch' HOT 1
- ImportError: torch.utils.ffi is deprecated. Please use cpp extensions instead. HOT 1
- Is it okay to use obsolete branch to reproduce your results? HOT 5
- why DHN? HOT 1
- Not able to run the Singularity image HOT 1
- How to generate DHN_data on the custom data? HOT 8
- The loss curves shows that training of the model does not converge HOT 1
- The model does not converge based on the loss curve.
- Colab Notebook HOT 1
- Cloning into 'deepmot'... Permission denied (publickey). HOT 1
- why not to use DHN in the testing stage?
- About training on custom datasets
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from deepmot.