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Google Colab Tutorial

Colab is a Google’s free cloud service which will let you run your deep learning or machine learning models in cloud.

Creating New Colab Notebook

  • Open your Google Drive
  • Create a new notebook via Right click > More > Colaboratory

GPU Setting

Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator

RAM Info

!cat /proc/meminfo 

CPU Info

!cat /proc/cpuinfo 

Install Libraries

!pip install or !apt-get install

!pip3 install tensorflow==1.8 !pip3 install keras !pip3 install torch torchvision !apt-get install python-numpy python-scipy 

Install OpenCV for c/c++

!apt-get install -qq gcc-5 g++-5 -y !ln -s /usr/bin/gcc-5 !ln -s /usr/bin/g++-5 !sudo apt-get update !sudo apt-get upgrade #Install Dependencies !sudo apt-get install -y build-essential !sudo apt-get install -y cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev #The following command is needed to process images: !sudo apt-get install -y python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev #To process videos: !sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev !sudo apt-get install -y libxvidcore-dev libx264-dev #For GUI: !sudo apt-get install -y libgtk-3-dev #For optimization: !sudo apt-get install -y libatlas-base-dev gfortran pylint !wget https://github.com/opencv/opencv/archive/3.4.0.zip -O opencv-3.4.0.zip !sudo apt-get install unzip !unzip opencv-3.4.0.zip %cd opencv-3.4.0 !mkdir build %cd build !cmake -D WITH_TBB=ON -D WITH_OPENMP=ON -D WITH_IPP=ON -D CMAKE_BUILD_TYPE=RELEASE -D BUILD_EXAMPLES=OFF -D WITH_NVCUVID=ON -D WITH_CUDA=OFF -D BUILD_DOCS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_TESTS=OFF -D WITH_CSTRIPES=ON -D WITH_OPENCL=ON CMAKE_INSTALL_PREFIX=/usr/local/ .. !make -j`nproc` !sudo make install 

Cloning Github Repo to Google Colab

!git clone https://github.com/ildoonet/tf-pose-estimation.git 

Mount your Google Drive

from google.colab import drive drive.mount('/content/drive/') 

Check your Folder Data

!ls Drive/test 

Upload code from your system

from google.colab import files uploaded = files.upload() 

Make zip file of your Data

from google.colab import files import zipfile import sys foldername = 'your folder or filename' zipfile.ZipFile('Drive/'+foldername + '.zip', 'w', zipfile.ZIP_DEFLATED) 

Downloading the data from the colab

from google.colab import files files.download('Drive/test.zip') 

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