└── README.md


/README.md:
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  1 | # Google Colab Tutorial
  2 | 
  3 | Colab is a Google’s free cloud service which will let you run your deep learning or machine learning models in cloud.
  4 | 
  5 | ### Creating New Colab Notebook
  6 | 
  7 | * Open your Google Drive
  8 | * Create a new notebook via Right click > More > Colaboratory
  9 | 
 10 | ### GPU Setting
 11 | 
 12 | Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator
 13 | 
 14 | ### RAM Info
 15 | ```
 16 | !cat /proc/meminfo
 17 | ```
 18 | 
 19 | ### CPU Info
 20 | 
 21 | ```
 22 | !cat /proc/cpuinfo
 23 | ```
 24 | 
 25 | ### Install Libraries
 26 | 
 27 | !pip install or !apt-get install
 28 | 
 29 | ```
 30 | !pip3 install tensorflow==1.8
 31 | !pip3 install keras
 32 | !pip3 install torch torchvision
 33 | !apt-get install python-numpy python-scipy
 34 | ```
 35 | ### Install OpenCV for c/c++
 36 | 
 37 | ```
 38 | !apt-get install -qq gcc-5 g++-5 -y
 39 | !ln -s /usr/bin/gcc-5 
 40 | !ln -s /usr/bin/g++-5 
 41 | 
 42 | !sudo apt-get update
 43 | !sudo apt-get upgrade
 44 | 
 45 | #Install Dependencies
 46 | !sudo apt-get install -y build-essential 
 47 | !sudo apt-get install -y cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
 48 | #The following command is needed to process images:
 49 | !sudo apt-get install -y python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
 50 | #To process videos:
 51 | !sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
 52 | !sudo apt-get install -y libxvidcore-dev libx264-dev
 53 | #For GUI:
 54 | !sudo apt-get install -y libgtk-3-dev
 55 | #For optimization:
 56 | !sudo apt-get install -y libatlas-base-dev gfortran pylint
 57 | !wget https://github.com/opencv/opencv/archive/3.4.0.zip -O opencv-3.4.0.zip
 58 | !sudo apt-get install unzip
 59 | !unzip opencv-3.4.0.zip
 60 | %cd opencv-3.4.0
 61 | !mkdir build
 62 | %cd build
 63 | !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/ ..
 64 | !make -j`nproc`
 65 | !sudo make install
 66 | 
 67 | ```
 68 | ### Cloning Github Repo to Google Colab
 69 | 
 70 | ```
 71 | !git clone https://github.com/ildoonet/tf-pose-estimation.git
 72 | ```
 73 | ### Mount your Google Drive
 74 | 
 75 | ```
 76 | from google.colab import drive
 77 | drive.mount('/content/drive/')
 78 | ```
 79 | 
 80 | ### Check your Folder Data
 81 | 
 82 | ```
 83 | !ls Drive/test
 84 | ```
 85 | 
 86 | ### Upload code from your system
 87 | 
 88 | ```
 89 | from google.colab import files
 90 | uploaded = files.upload()
 91 | ```
 92 | ### Make zip file of your Data
 93 | 
 94 | ```
 95 | from google.colab import files
 96 | import zipfile
 97 | import sys
 98 | foldername = 'your folder or filename'
 99 | zipfile.ZipFile('Drive/'+foldername + '.zip', 'w', zipfile.ZIP_DEFLATED)
100 | ```
101 | 
102 | ### Downloading the data from the colab
103 | 
104 | ```
105 | from google.colab import files
106 | files.download('Drive/test.zip')
107 | ```
108 | 


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