Hoàng Tùng Lâm (Linus) lamhoangtung

## charList.txt
'#&()+-,.:;/ 0123456789AÁÀẢÃẠĂẮẰẲẴẶÂẤẦẨẪẬBCDĐEÊẾỀỂỄỆFGHIÍÌỈĨỊJKLMNOÓÒỎÕỌÔỐỒỔỖỘƠỚỜỞỠỢPQRSTUÚÙỦŨỤƯỨỪỬỮỰVWXYÝỲỶỸỴZaáàảãạăắằẳẵặâấầẩẫậbcdđeéèẻẽẹêếềểễệfghiíìỉĩịjklmnoóòỏõọôốồổỗộơớờởỡợpqrstuúùủũụưứừửữựvwxyýỳỷỹỵz'́

## add_space_to_sentence.py
import time

#input_str = input()
input_str = 'Ilikesandwiches'
word_dict = ['I', 'like', 'sandwiches', 'sand', 'and', 'a', 'lot', 'a', 'ability', 'able', 'about', 'above', 'accept', 'according', 'account', 'across', 'act', 'action', 'activity', 'actually', 'add', 'address', 'administration', 'admit', 'adult', 'affect', 'after', 'again', 'against', 'age', 'agency', 'agent', 'ago', 'agree', 'agreement', 'ahead', 'air', 'all', 'allow', 'almost', 'alone', 'along', 'already', 'also', 'although', 'always', 'American', 'among', 'amount', 'analysis', 'and', 'animal', 'another', 'answer', 'any', 'anyone', 'anything', 'appear', 'apply', 'approach', 'area', 'argue', 'arm', 'around', 'arrive', 'art', 'article', 'artist', 'as', 'ask', 'assume', 'at', 'attack', 'attention', 'attorney', 'audience', 'author', 'authority', 'available', 'avoid', 'away', 'baby', 'back', 'bad', 'bag', 'ball', 'bank', 'bar', 'base', 'be', 'beat', 'beautiful', 'because', 'become', 'bed', 'before', 'begin', 'behavior', 'behind', 'believe', 'benefi

## TTA.py
class TTA_ModelWrapper():
    """A simple TTA wrapper for keras computer vision models.
    Args:
        model (keras model): A fitted keras model with a predict method.
    """

    def __init__(self, model):
        self.model = model

    def predict(self, X):

## image_sub.py
#!/usr/bin/env python3
import rospy
# ROS Image message
from sensor_msgs.msg import CompressedImage
# ROS Image message -> OpenCV2 image converter
from cv_bridge import CvBridge, CvBridgeError
# OpenCV2 for saving an image
import cv2

# Instantiate CvBridge

## team705.launch
<launch>

	<include ns="bridge1" file="$(find rosbridge_server)/launch/rosbridge_websocket.launch">
		<arg name="port" value="9001" />
	</include>
	<node name="team705" pkg="object_detector" type="object_detector.py" output="screen"/>
	<!-- Script của em nằm ở trong PATH ./src/object_detector/src/object_detector.py -->
</launch>

## data.csv

          
            x1
            x2
            y

            
              0.336493583877
              -0.985950993354
              0.0

            
              -0.0110425297266
              -0.10552856162
              1.0

            
              0.238159509297
              -0.61741666482
              1.0

            
              -0.366782883496
              -0.713818716912
              1.0

            
              1.22192307438
              -1.03939898614
              0.0

            
              -1.30456799971
              0.59261847015
              0.0

            
              -0.407809098981
              -0.509110509763
              1.0

            
              0.893188941965
              1.18285985648
              0.0

            
              -0.00546337259365
              -0.589551228864
              1.0

## data.csv

          
            0.24539
            0.81725
            0

            
              0.21774
              0.76462
              0

            
              0.20161
              0.69737
              0

            
              0.20161
              0.58041
              0

            
              0.2477
              0.49561
              0

            
              0.32834
              0.44883
              0

            
              0.39516
              0.48099
              0

            
              0.39286
              0.57164
              0

            
              0.33525
              0.62135
              0

            
              0.33986
              0.71199
              0

## sale.csv

          
            Company
            TV
            Radio
            News
            Units

            
              Amazon
              230.1
              37.8
              69.1
              22.1

            
              Google
              44.5
              39.3
              23.1
              10.4

            
              Facebook
              17.2
              45.9
              34.7
              18.3

            
              Apple
              151.5
              41.3
              13.2
              18.5

## linear_regression.py
#!/usr/bin/env python
# coding: utf-8

# In[7]:


import random

def test_y(x):
    return 4*x+5+random.uniform(0.1,0.2)

## aff.cpp
#include <iostream>
#include <string>
#include <stdlib.h>

using namespace std;

int main()
{
    for (int i = 0; i < 2; i++)
    {
	import time

	#input_str = input()
	input_str = 'Ilikesandwiches'
	word_dict = ['I', 'like', 'sandwiches', 'sand', 'and', 'a', 'lot', 'a', 'ability', 'able', 'about', 'above', 'accept', 'according', 'account', 'across', 'act', 'action', 'activity', 'actually', 'add', 'address', 'administration', 'admit', 'adult', 'affect', 'after', 'again', 'against', 'age', 'agency', 'agent', 'ago', 'agree', 'agreement', 'ahead', 'air', 'all', 'allow', 'almost', 'alone', 'along', 'already', 'also', 'although', 'always', 'American', 'among', 'amount', 'analysis', 'and', 'animal', 'another', 'answer', 'any', 'anyone', 'anything', 'appear', 'apply', 'approach', 'area', 'argue', 'arm', 'around', 'arrive', 'art', 'article', 'artist', 'as', 'ask', 'assume', 'at', 'attack', 'attention', 'attorney', 'audience', 'author', 'authority', 'available', 'avoid', 'away', 'baby', 'back', 'bad', 'bag', 'ball', 'bank', 'bar', 'base', 'be', 'beat', 'beautiful', 'because', 'become', 'bed', 'before', 'begin', 'behavior', 'behind', 'believe', 'benefi
	class TTA_ModelWrapper():
	"""A simple TTA wrapper for keras computer vision models.
	Args:
	model (keras model): A fitted keras model with a predict method.
	"""

	def __init__(self, model):
	self.model = model

	def predict(self, X):
	#!/usr/bin/env python3
	import rospy
	# ROS Image message
	from sensor_msgs.msg import CompressedImage
	# ROS Image message -> OpenCV2 image converter
	from cv_bridge import CvBridge, CvBridgeError
	# OpenCV2 for saving an image
	import cv2

	# Instantiate CvBridge
	<launch>

	<include ns="bridge1" file="$(find rosbridge_server)/launch/rosbridge_websocket.launch">
	<arg name="port" value="9001" />
	</include>
	<node name="team705" pkg="object_detector" type="object_detector.py" output="screen"/>
	<!-- Script của em nằm ở trong PATH ./src/object_detector/src/object_detector.py -->
	</launch>
x1	x2	y
0.336493583877	-0.985950993354	0.0
-0.0110425297266	-0.10552856162	1.0
0.238159509297	-0.61741666482	1.0
-0.366782883496	-0.713818716912	1.0
1.22192307438	-1.03939898614	0.0
-1.30456799971	0.59261847015	0.0
-0.407809098981	-0.509110509763	1.0
0.893188941965	1.18285985648	0.0
-0.00546337259365	-0.589551228864	1.0
	0.24539	0.81725	0
	0.21774	0.76462	0
	0.20161	0.69737	0
	0.20161	0.58041	0
	0.2477	0.49561	0
	0.32834	0.44883	0
	0.39516	0.48099	0
	0.39286	0.57164	0
	0.33525	0.62135	0
	0.33986	0.71199	0
Company	TV	Radio	News	Units
Amazon	230.1	37.8	69.1	22.1
Google	44.5	39.3	23.1	10.4
Facebook	17.2	45.9	34.7	18.3
Apple	151.5	41.3	13.2	18.5
	#!/usr/bin/env python
	# coding: utf-8

	# In[7]:


	import random

	def test_y(x):
	return 4*x+5+random.uniform(0.1,0.2)
	#include <iostream>
	#include <string>
	#include <stdlib.h>

	using namespace std;

	int main()
	{
	for (int i = 0; i < 2; i++)
	{