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Installation on Ubuntu

  1. If you haven't already, clone the project by running:
git clone --recursive https://github.com/erikgartner/actor.git

Note: The below steps describing how to setup Caffe and Matcaffe work on Ubuntu 16.04 with Matlab 2018b, but it will likely work for other Ubuntu / Matlab versions as well (although Matlab 2017 seems to have some compatibility issues with Caffe). We have also attached a guide specifying how to make it work assuming Ubuntu 16.04 and access to Matlab 2015a.

  1. At the top-level of our repo, clone the latest Caffe:
git clone https://github.com/BVLC/caffe.git

  1. Copy cos_layer.cpp and cos_layer.cu from install-files to caffe/src/caffe/layers. Copy cos_layer.hpp from install-files to caffe/include/caffe/layers/.

  2. Go to caffe and create an empty Makefile.config. Copy the contents from Makefile.config.example into Makefile.config.

  3. In Makefile.config, first uncomment and re-direct the MATLAB_DIR to where your Matlab's bin folder resides. For example:

MATLAB_DIR := /usr/local/share/matlab2018b

Then update CUDA_ARCH according to your system. The following worked for us:

CUDA_ARCH := -gencode arch=compute_30,code=sm_30 \
	     -gencode arch=compute_35,code=sm_35 \
	     -gencode arch=compute_50,code=sm_50 \
	     -gencode arch=compute_52,code=sm_52 \
	     -gencode arch=compute_60,code=sm_60 \
	     -gencode arch=compute_61,code=sm_61 \
	     -gencode arch=compute_61,code=compute_61

Finally, uncomment WITH_PYTHON_LAYER := 1 and below it set:

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial  
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
  1. Install caffe as normal by running make. See this link and/or this link for help on how to install caffe. Some typical steps on a fresh Ubuntu installation includes running the following prior to make:
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
sudo apt-get install libatlas-base-dev libopenblas-dev
sudo apt-get install -y libopencv-dev

  1. Install Matcaffe by running make matcaffe. If you encounter any issues, see the troubleshooting section below.

  2. In a terminal, go to code/panoptic/json-matlab/ and type

mex json_decode.c jsmn.c
mex json_encode.c
  1. All done! Return to the main readme for instructions on how to run ACTOR, or see this documentation for how to download and preprocess the Panoptic data, pre-compute OpenPose deep features and pose estimates and train/download instance features for matching. .

Troubleshooting for Matcaffe

  • If you get mex-crashes, first try exiting Matlab and rerun Matlab from a terminal with the command LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6 matlab -desktop (see also this link).

  • If you still get (some other) mex-crashes than before. try the following commands from your matlab2015a/bin/glnxa64 folder:

sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_calib3d.so libopencv_calib3d.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_contrib.so libopencv_contrib.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_core.so libopencv_core.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_features2d.so libopencv_features2d.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_flann.so libopencv_flann.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_gpu.so libopencv_gpu.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_highgui.so libopencv_highgui.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so libopencv_imgproc.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_legacy.so libopencv_legacy.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_ml.so libopencv_ml.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_objdetect.so libopencv_objdetect.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_photo.so libopencv_photo.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_stitching.so libopencv_stitching.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_video.so libopencv_video.so.2.4
sudo ln -sfn /usr/lib/x86_64-linux-gnu/libopencv_videostab.so libopencv_videostab.so.2.4
  • Once done (including running make clean all matcaffe), relaunch matlab with LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6 matlab -desktop. Then all mex-errors should be gone.