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parallel --header : echo my_command --f1={f1} --f2={f2} ::: f1 A B ::: f2 C D

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seq 1 10 | parallel octave --silent --eval "test\({},{}\)"

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// First program
#include "google/gtest/include/gtest/gtest.h"

int sum(int a, int b) {return a+b;}

TEST(Sum, Normal) {
  EXPECT_EQ(5, sum(2, 3));
}

int main(int argc, char **argv) {

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# connect to remote
# run screen ( on remote)
screen

# OR list screens
screen -ls
# if screen is running reattach it
screen -dRR ###

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# create a movie from the images with 1 image per 25 frames in the video
ffmpeg  -r 1 -start_number 1000  -i %d.png  -r 25 -vf scale=1200x800 basketball.avi

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cmake -DCVPR2016=ON  -DBoost_NO_SYSTEM_PATHS=True -DBoost_NO_BOOST_CMAKE=TRUE -DBOOST_ROOT=~/local/ ..

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#include "armadillo"

int main(int argc, char *argv[]) {
  int n = 100;  // rows
  int m = 200;  // cols
  arma::mat x(n,m,arma::fill::zeros); // initialize matrix to all zeros 
  
  // superpixels might not form rectangles, in general. -> Solution: keep
  // track of indices which form superpixel
  // Assume all superpixels are enumerated from 1 to |S| where |S| is the total number of superpixels

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# kill all processes by a user
pkill -9 -u `id -u username`

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sudo apt-get install python-software-properties
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 50
sudo apt-get install g++-4.9
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 50

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Installation of the tensorflow + antrack:

install_name_tool -change bazel-out/local_darwin-fastbuild/bin/tensorflow/libtensorflow.so \
  /Users/Ivan/Code/deep/tensorflow/bazel-tensorflow/bazel-out/local_darwin-fastbuild/bin/tensorflow/libtensorflow.so \
  ./bin/robust_struck_tracker_v1.0

install_name_tool -change bazel-out/local_darwin-fastbuild/bin/tensorflow/cc/libcc_ops.so \
  /Users/Ivan/Code/deep/tensorflow/bazel-tensorflow/bazel-out/local_darwin-fastbuild/bin/tensorflow/cc/libcc_ops.so \
  ./bin/robust_struck_tracker_v1.0