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import xml.etree.ElementTree as ET
import pickle
import os,sys
from os import listdir, getcwd
from os.path import join

# TODO
classes = [""] # update with the classes of your dataset

def convert(size,box):

Merwanski

import sys
import cv2

# TODO update with this part with your ip address 
cap = cv2.VideoCapture("tcp://192.168.68.97:18003") 

while(True):
	ret, frame = cap.read()
	cv2.imshow('frame', frame)	
	if cv2.waitKey(1) & 0xFF == ord('q'):

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#!/usr/bin/env python3

from socket import socket, gethostbyname, AF_INET, SOCK_DGRAM
import sys
PORT_NUMBER = 5000
SIZE = 1024

hostName = gethostbyname( '0.0.0.0' )

mySocket = socket( AF_INET, SOCK_DGRAM )

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# Docker container logs
import datetime
import docker
import time
import os

# how to run it
# python3 docker_logs.py

# TODO update the name for the correct one on the drone

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#!/usr/bin/env python3

import sys
from socket import socket, AF_INET, SOCK_DGRAM

# TODO update this part with the IP address of the server and port number used
SERVER_IP   = '172.19.0.3'
PORT_NUMBER = 5000
SIZE = 1024
print ("Test client sending packets to IP {0}, via port {1}\n".format(SERVER_IP, PORT_NUMBER))

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# TODO Add the code below to your barshrc file

# Git branch in prompt.
force_color_prompt=yes
color_prompt=yes
parse_git_branch() {
 git branch 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/(\1)/'
}
if [ "$color_prompt" = yes ]; then
 PS1='${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[01;31m\]$(parse_git_branch)\[\033[00m\]\$ '

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Create a new container from the TensorFlow image
"""
$ docker run -it --rm tensorflow/tensorflow:latest-gpu-py3
"""

You should be logged-in in the new container. You can explore it using ls, cd, etc… 
You can exit using 
$ exit.

Create a directory to exchange files between your machine and the container:

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# tensorflow
from tensorflow.python.client import device_lib
devices_tf = device_lib.list_local_devices()
devices_tf = print(devices)

# pytorch
import torch
devices_torch = torch.cuda.get_device_name()
print(devices_torch)

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# reset last git commit
git reset --soft HEAD~1

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# add this at the end of your entrypoint file
# to keep the container running and not exit directly
set -x
while $1
do
    echo "Press [CTRL+C] to stop.."
    sleep 5
    echo "My second and third argument is $2 & $3"
done