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#!/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)

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<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>

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#!/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

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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):

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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

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