Comments (4)
We are still trying to figure out that error, since it does not happen in our computers.
Could you try this? Could you remove your OpenCV version and try the default and basic OpenCV version that you can get from the Ubuntu repositories?
sudo apt-get install libopencv-dev
And let us know whether the error still happens.
Thanks!
from caffe_rtpose.
Please, check #1 or #7. Thanks!
from caffe_rtpose.
@gineshidalgo99
Thanks.
I changed opencv version from 3.1 to 2.4.13.2.
Then I got new event like below youtube link, that I recorded my ubuntu desktop...
https://www.youtube.com/watch?v=2HmNaGgW2Xk&feature=youtu.be
The window opens, but it will die soon...
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I cannot instal libopencv but I can install libopencv-dev alternatively, and finally I can success to run!
Following Dockerfile could run your app. ( Probably there are unnecessary libraries included but hastening ...)
FROM nvidia/cuda:8.0-devel-ubuntu16.04
LABEL maintainer "NVIDIA CORPORATION <[email protected]>"
RUN apt-get update && apt-get install -y \
build-essential checkinstall cmake pkg-config wget curl sudo git vim unzip lsb-release \
yasm x264 \
libtiff5-dev libjpeg-dev libpng-dev libtiff-dev \
libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev \
python-dev python-numpy python-pip \
libtbb-dev libeigen3-dev libqt4-dev libgtk2.0-dev libmp3lame-dev \
libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev \
v4l-utils \
libgtk2.0-dev \
zlib1g-dev \
libhdf5-dev libopenblas-dev libatlas-base-dev libgflags-dev libgoogle-glog-dev liblmdb-dev liblapacke-dev \
libopencv-dev python-opencv
# install cudnn 5.1.10
ENV CUDNN_VERSION 5.1.10
LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
RUN CUDNN_DOWNLOAD_SUM=c10719b36f2dd6e9ddc63e3189affaa1a94d7d027e63b71c3f64d449ab0645ce && \
curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz -O && \
echo "$CUDNN_DOWNLOAD_SUM cudnn-8.0-linux-x64-v5.1.tgz" | sha256sum -c --strict - && \
tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local && \
rm cudnn-8.0-linux-x64-v5.1.tgz && \
ldconfig
# install rtpose
RUN cd /usr/local && \
git clone https://github.com/CMU-Perceptual-Computing-Lab/caffe_rtpose.git && \
cd caffe_rtpose && \
./install_caffe_and_cpm.sh
Thanks!
from caffe_rtpose.
Related Issues (20)
- caffe pre-installed
- F0406 17:19:19.386066 12837 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory HOT 3
- It seems like out of memory HOT 4
- Check failed: error == cudaSuccess (30 vs. 0) unknown error HOT 2
- caffe failed to init() HOT 3
- Error while running on a video HOT 3
- Working on 2GB VGA and 8GB RAM HOT 3
- How can I use openpose in another project? HOT 1
- Can I know why 16 * ceil(NET_RESOLUTION_WIDTH * scale /16)? HOT 1
- Check failed: error == cudaSuccess (2 vs. 0) out of memory HOT 17
- CMakeLists.txt for caffe_rtpose examples HOT 3
- smaller models HOT 1
- Some videos are aborted while processing pose machines on them HOT 3
- cudnn v6 not supported HOT 1
- output frame count inconsistent with the input directory HOT 1
- Compile Error HOT 1
- How can I find the information about the joints in the code? HOT 1
- compitable issue on training
- Check failed: error == cudaSuccess (2 vs. 0) out of memory
- memory issue when cudnn is found HOT 1
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