[PYTHON] I can't use the darknet command in Google Colaboratory!

Background I wanted to learn the weight of yolo with Google Colaboratory with ./darknet detector train ~ (validated locally), but ./darknet: permission denied and permission error are displayed

Environment ・ Mac OS Catalina 10.15.6 ・ Google Colaboratory ・ Python 3.6.9 ・ Tensorflow 1.4.2

Contents

Permission error First, solve the following
./darknet: permission denied

Solved by changing darknet permissions

chmod 755 darknet

But again the error

Binary file execution error Then solve the following
./darknet: cannot execute binary file: exec format error

This is because the compiled file does not correspond and it can not be executed The gcc version doesn't seem to correspond to the nvcc version    In fact, if you check the output when you make the Makefile

gnu version! gcc versions later than 5 are not supported!

And gcc version error was mentioned    Let's check with the compiler change command

!update-alternatives --config gcc

After all it seems to be for gcc 7

Solution Run the following command to install gcc 4.8 and set it as the default
!sudo update-alternatives --remove-all gcc 
!sudo update-alternatives --remove-all g++

!sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y
!sudo apt-get update

!sudo apt-get install gcc-4.8 g++-4.8

!sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 50
!sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 50

!sudo update-alternatives --install /usr/bin/cc cc /usr/bin/gcc 50
!sudo update-alternatives --set cc /usr/bin/gcc

!sudo update-alternatives --install /usr/bin/c++ c++ /usr/bin/g++ 50
!sudo update-alternatives --set c++ /usr/bin/g++

!sudo update-alternatives --config gcc
!sudo update-alternatives --config g++

As a result of checking with the compiler change command, I was able to properly set gcc 4.8 as the default.

$!update-alternatives --config gcc
There is only one alternative in link group gcc (providing /usr/bin/gcc): /usr/bin/gcc-4.8
Nothing to configure.

that's all

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