Merge branch 'it17350242' into 'master'

It17350242

See merge request !15

README.md

-# 2020-028
-
-# Main Objective
-In our research we mainly focus for provide a system to Identify the brain tumor as soon as possible in higher rate of prediction and help the other parties 
-(Ex: Doctor, Radiologist, Patient …etc.) to interact with each other and help the patients before it get out of hand.Through this system we reduces the time to 
-identify the brain tumor. Because of that doctor can treat Patient more quickly reduces that damage to human body.
-
-# Main Research Question
-For the Identification and segmentation AI (Artificial Intelligence) based system is developed by deploying a model through  using deep learning techniques. 
-MRI section is a  process of Nero surgeons, MRI  consultants ,  pathologists to take time series of MRI images of a patient.  This process is  time  consuming, 
-incase doctors take too much time.To identify a brain tumor and to go segmentation to identify a primary type , by identifying this  problem  can reduce the death  count by extrracting the feature 
-of brain tumor and do identifying the growth pattern of brain tumor and identify the brain tumor  using side effects .
-
-#  Individual Research Questions
-•	How should AI based system should be developed   to identify the brain tumor though segmentation?
-•	How to identify  a brain tumor  through higher accuracy using  MRI s within a short time period to reduce death count?
-•	How to create interaction between doctors and  patients before get out of hand the threat?
-•	How to identify primary stage of the bran tumor?
-
-
-
-# individual Objectives
-
-•	To take input as a MRI image and through that image we are design to identify a brain tumor at any stage (even in the smallest stage known as glioma).  
-•	To make it easy to read the MRI images for Radiologists which are difficult and take too much time to read the MRI images in present days 
-•	Building a method to identify the growth rate of brain tumor which is more accurate than existing methods. 
-•	Predict the side effects that can be happens due to the brain tumor and the threats that Causes to human body because of those side effects. 
-
-
-

Side effect/.ipynb_checkpoints/Untitled-checkpoint.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "acc: 0.98\n",
+      "actual results: [3. 2. 2. 2. 4. 3. 4. 2. 4. 2. 3. 1. 4. 4. 2. 2. 3. 0. 1. 2. 4. 4. 4. 0.\n",
+      " 2. 0. 1. 4. 0. 0. 4. 0. 3. 2. 0. 1. 1. 3. 4. 2. 0. 0. 2. 1. 3. 0. 0. 4.\n",
+      " 0. 4. 4. 3. 0. 2. 1. 1. 1. 4. 3. 4. 4. 4. 2. 3. 3. 3. 3. 1. 2. 4. 1. 4.\n",
+      " 4. 3. 0. 1. 1. 0. 3. 1. 2. 4. 4. 2. 4. 0. 3. 3. 3. 2. 1. 1. 4. 0. 2. 2.\n",
+      " 4. 1. 1. 2.]\n",
+      "predicted results: [3. 2. 2. 2. 4. 3. 4. 2. 4. 2. 3. 1. 4. 4. 2. 2. 3. 0. 1. 2. 4. 4. 4. 0.\n",
+      " 2. 0. 1. 4. 0. 0. 4. 0. 3. 2. 0. 1. 1. 3. 4. 2. 0. 0. 2. 1. 3. 0. 0. 4.\n",
+      " 0. 4. 4. 3. 0. 2. 1. 1. 1. 4. 3. 4. 4. 4. 2. 3. 3. 3. 3. 1. 2. 4. 1. 4.\n",
+      " 4. 3. 0. 1. 1. 0. 3. 1. 2. 4. 4. 2. 4. 0. 1. 3. 3. 2. 1. 1. 2. 0. 2. 2.\n",
+      " 4. 1. 1. 2.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "dataset=pd.read_csv('male.csv').values\n",
+    "\n",
+    "data=dataset[:,0:5]/1000\n",
+    "target=dataset[:,5]\n",
+    "\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "train_data,test_data,train_target,test_target=train_test_split(data,target,test_size=0.2)\n",
+    "\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "#from sklearn.svm import SVC\n",
+    "\n",
+    "model=KNeighborsClassifier()\n",
+    "#model=SVC(kernel='rbf')\n",
+    "\n",
+    "model.fit(train_data,train_target)\n",
+    "\n",
+    "results=model.predict(test_data)\n",
+    "\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "acc=accuracy_score(test_target,results)\n",
+    "\n",
+    "print('acc:',acc)\n",
+    "print('actual results:',test_target)\n",
+    "print('predicted results:',results)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['male.sav']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import joblib\n",
+    "\n",
+    "joblib.dump(model,'male.sav')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

Side effect/Read Me.md

+*Abstract
+
+Blood reports plays an important role in the human life. because blood reports can be 
+widely used for diagnosing so many abnormalities in the human body.Tumors, Cancers,
+Heart failure, Fractures, another diseases and conditions ; are some of them. Besides
+identifying those areas doctors use blood reports to identify the side effects that 
+are occur due to many abnormal conditions that interfering with normal functioning of
+a human body. So within my research part I decided to build an accurate web based 
+system to detect the side effects of a glioma brain tumor. According to the latest
+estimates from the WHO ; Each year in the United States, about 23890 malignant tumors
+of the brain (13,590 in males and 10300 in females) will be diagnosed. About 18,020 
+people (10,190 males and 7830 in females) will die from brain tumors. people have to 
+seek care in a hospital due to brain tumors.According to these information a huge
+number of people are suffering and dead because of the brain tumors. Even somehow they 
+are cured ; most of them will have to suffer with side effects occurred due to the 
+brain tumors. Some times the patient doesn’t sense any pain due to the brain tumor 
+but, most of the patients have to suffer with the side effects. And some times even 
+the death also can be happen to the patients due to a side effects diseas.So now you 
+can see that when you observe a glioma brain tumor; exactly you have to observe the
+side effects as well. The appropriate treatments (like Radiotherapy, vaccines and 
+surgeries ) could prevent many of the deaths from these tumors and other diseases. The 
+process of identifying the side effects of a brain tumor is to take the blood reports
+of the patient and observe the facts in those reports. And then after a period of time
+the doctors get a prediction of the side effects and then they start the necessary 
+treatments to them as soon as possible.
+
+*Research Problem
+
+Now a days the you can see the number of patients in a hospital of Sri Lankan society
+ is gradually getting increase. Not only in Sri Lanka this problem has became a world
+ wide crisis now. This has happen mainly because of the bad life style of the people
+Of course the science and technology has became to it’s peek point but no one has being
+ able to find a good solution to get rid of from the above mentioned problem. As the
+ problem became a crysis like that each country has to this twice about the well being 
+of their health. So when you start to think about the well being of health in a society,
+ you have to give a huge priority to the medical field in a country. When we talk about
+ the world wide medical field western countries are using more advanced technological
+ treatments for various sicknesses and methods to identify the diseases. But some of the
+ south eastern countries like Srilanka, Bangladesh, Pakistan are still not in their peek 
+of the technologies in medical treatments and identifying methods of the diseases.
+When it comes to the teratements and identifying methods of the diseases before the treatments,
+ the doctors need to identify the diseases of their patients. So identification of a disease
+ is a very important task in the medical field. If you get a wrong identification, the life of
+ a patient could be in a dangerous situation. To identify the diseases, there exists much more
+ methods in the medical field. Identifying the diseases through various kinds of blood reports,
+ through various kinds of scans, through testing the samples of the human body are among them.
+So within our research area we have decided to give the main priority to the blood reports. 
+Because blood reports are the easiest way of identifying the diseases in the human body.
+ And also the accuracy level of identifying the diseases through blood reports are in a good
+ condition. So we have decided to do this research part using the full blood count reports of
+ the patients.Blood reports have a huge priority when diagnosing the diseases of any kind of ptient.
+ Because blood reports can be widely used for diagnosing so many abnormalities in the human body.
+ Tumors, Cancers, Allergies, Fractures, another diseases and conditions are some of them. And the
+ doctors use blood reports to identify the side effect diseases of brain tumors. But, at global level
+ according to the latest estimates from the WHO .Each year in the United States, about 23890 malignant
+ tumors of the brain (13,590 in males and 10300 in females) will be diagnosed. About 18,020 
+people (10,190 males and 7830 in females) will die from brain tumors. People have to seek care in 
+a hospital due to brain tumors .According to these information a huge number of people are suffering
+ and commit to death because of the brain tumors. The appropriate treatment (like Radiotherapy, vaccines
+ and surgeries) could prevent many of these deaths.
+And when we consider about the life threats due to the brain tumors it does not ends even the tumor has cured.
+ Still the doctors have to consider about the side effect diseases that are caused due to the tumor. So untill
+ the doctors start the treatments to those side effects the threats are still exists with the patients.
+The process of identifying the side effects of a brain tumor is to take the blood reports of the patient
+ and observe the facts in those reports. And then after a period of time the doctors get a prediction of 
+the side effects and then they start the necessary treatments to them.
+
+
+
+•	In computer-aided systems, there are no web viewers which are classifying and detecting the side effect diseases of a brain tumor.
+
+•	If the doctor has to leave from the hospital, then it will be very hard to diagnose for a very sick person.
+
+•	Identifying the side effects gets more time.
+
+•	Identification of the side effects are not in a good accuracy level. These are the problems addressed in our research
+
+
+*Research Objectives
+
+		Main Objective
+
+
+•	To identify the side effect diseases more accurately.
+
+•	Develop a web based system to detect the side effect diseases easily with user friendly interface.
+
+		
+		Specific Objectives
+
+
+•	To minimize the risks from the side effect disease to the life of a patient.
+
+•	Make the identification processes more fast.
+
+•	Make the necessary treatments processes for the diseases quick.
+
+•	Minimize the death rate of brain tumor patients.
+
+•	Make the system for use of the clinical services in the future.
+
+
+*libraries 
+
+	Image Processing
+
+from flask import Flask,render_template,request
+from werkzeug.utils import secure_filename
+import cv2
+from PIL import Image
+import pytesseract
+import os
+import re
+import joblib
+
+	Machine learning
+
+import pandas as pd
+
+
+
+*How  to run the project.
+
+First copy the location of "app.py" python file. Now open the anaconda Prompt (anaconda3) and change the directory to that copied location. now run the file app.py.
+After running the app.py file you will get a url. Copy that url in google chrome and run it. Now Fill the form and Press result button.
+

Side effect/Untitled.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "acc: 0.98\n",
+      "actual results: [3. 2. 2. 2. 4. 3. 4. 2. 4. 2. 3. 1. 4. 4. 2. 2. 3. 0. 1. 2. 4. 4. 4. 0.\n",
+      " 2. 0. 1. 4. 0. 0. 4. 0. 3. 2. 0. 1. 1. 3. 4. 2. 0. 0. 2. 1. 3. 0. 0. 4.\n",
+      " 0. 4. 4. 3. 0. 2. 1. 1. 1. 4. 3. 4. 4. 4. 2. 3. 3. 3. 3. 1. 2. 4. 1. 4.\n",
+      " 4. 3. 0. 1. 1. 0. 3. 1. 2. 4. 4. 2. 4. 0. 3. 3. 3. 2. 1. 1. 4. 0. 2. 2.\n",
+      " 4. 1. 1. 2.]\n",
+      "predicted results: [3. 2. 2. 2. 4. 3. 4. 2. 4. 2. 3. 1. 4. 4. 2. 2. 3. 0. 1. 2. 4. 4. 4. 0.\n",
+      " 2. 0. 1. 4. 0. 0. 4. 0. 3. 2. 0. 1. 1. 3. 4. 2. 0. 0. 2. 1. 3. 0. 0. 4.\n",
+      " 0. 4. 4. 3. 0. 2. 1. 1. 1. 4. 3. 4. 4. 4. 2. 3. 3. 3. 3. 1. 2. 4. 1. 4.\n",
+      " 4. 3. 0. 1. 1. 0. 3. 1. 2. 4. 4. 2. 4. 0. 1. 3. 3. 2. 1. 1. 2. 0. 2. 2.\n",
+      " 4. 1. 1. 2.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "dataset=pd.read_csv('male.csv').values\n",
+    "\n",
+    "data=dataset[:,0:5]/1000\n",
+    "target=dataset[:,5]\n",
+    "\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "train_data,test_data,train_target,test_target=train_test_split(data,target,test_size=0.2)\n",
+    "\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "#from sklearn.svm import SVC\n",
+    "\n",
+    "model=KNeighborsClassifier()\n",
+    "#model=SVC(kernel='rbf')\n",
+    "\n",
+    "model.fit(train_data,train_target)\n",
+    "\n",
+    "results=model.predict(test_data)\n",
+    "\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "acc=accuracy_score(test_target,results)\n",
+    "\n",
+    "print('acc:',acc)\n",
+    "print('actual results:',test_target)\n",
+    "print('predicted results:',results)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['male.sav']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import joblib\n",
+    "\n",
+    "joblib.dump(model,'male.sav')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

Side effect/app.py

+from flask import Flask,render_template,request
+from werkzeug.utils import secure_filename
+import cv2
+from PIL import Image
+import pytesseract
+import os
+import re
+import joblib
+
+pytesseract.pytesseract.tesseract_cmd='C://Program Files/Tesseract-OCR/tesseract.exe'
+
+
+app=Flask(__name__)
+print("J")
+
+@app.route('/')
+def index():
+
+	return render_template('sideeffect.html')
+
+@app.route('/prediction',methods=['POST', 'GET'])
+def prediction():
+
+	diseases={0:"neurofibromatosis",1:"carcinoma syndrome",2:"von Hippel-Lindau",3:"Glioblastoma multiforme",4:"tuberous sclerosis"}
+	
+	input_data = request.form 
+	
+	firstname=input_data['firstname']
+	lastname=input_data['Lastname']
+	age=input_data['Age']
+	gender=input_data['gender']
+	email=input_data['E-mail']
+
+	f = request.files['Upload Report']
+	f.save(secure_filename(f.filename))
+
+	image=cv2.imread(f.filename)
+
+	gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+	thresh = cv2.threshold(gray,128, 255,cv2.THRESH_BINARY)[1]
+	#thresh = cv2.threshold(gray, 0, 255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
+
+	text = pytesseract.image_to_string(thresh)
+
+	
+	numbers=re.findall(r"[-+]?\d*\.\d+|\d+",text)
+	print(numbers,gender)
+	himo=float(numbers[36])
+	rbc=float(numbers[37])
+	wbc=float(numbers[45]+numbers[46])
+	neu=float(numbers[47])
+	lym=float(numbers[49])
+
+	if(gender=='male'):
+
+		model=joblib.load('male.sav')
+	else:
+		model=joblib.load('female.sav')
+	print([[himo,rbc,wbc,neu,lym]])
+	result=model.predict([[himo,rbc,wbc,neu,lym]])[0]
+
+	disease=diseases[result]
+
+	return render_template('result.html',disease=disease)
+
+	#{{disease}}
+app.run(debug=True)
\ No newline at end of file

Side effect/result.html

+<!Doctype html>
+<html>
+
+<head>
+    <title>Side Effect Prediction</title>
+
+</head>
+
+<body>
+   <h1> Yuo Have Diagnose With -> </h1> {{disease}}
+	
+</body>
+
+</html>
\ No newline at end of file

Side effect/sideeffect.html

+<!Doctype html>
+<html>
+
+<head>
+    <title>Side Effect Prediction</title>
+    <link rel="stylesheet" type="text/css" href="css/bootstrap.min.css">
+</head>
+
+<body>
+
+    <dev>
+
+        <form action="http://127.0.0.1:5000/prediction" method="post" enctype="multipart/form-data">
+            <dev class="container">
+
+                <dev class="row">
+                    <dev class="col-sm-3">
+                        <h1>Fill The Form </h1><br><br>
+
+                        <lable for="firstname"><b>First Name</b></lable>
+                        <input class="form control" type="text" name="firstname" required><br><br><br>
+
+                        <lable for="lastname"><b>Last Name</b></lable>&nbsp;
+                        <input class="form control" type="text" name="Lastname" required><br><br><br>
+
+                        <lable for="age"><b>Age</b></lable>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
+                        <input class="form control" type="text" name="Age" required><br><br><br>
+
+                        <lable for="gender"><b>Gender</b></lable>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
+                        <lable for="male"><b>male</b></lable>
+                        <input type="checkbox" id="gender" name="gender" value="male">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
+                        <lable for="female"><b>female</b></lable><input type="checkbox" id="gender" name="gender" value="female"><br><br><br>
+
+                        <lable for="email"><b>E-mail</b></lable>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
+                        <input class="form control" type="text" name="E-mail" required><br><br><br>
+
+                        <lable for="uploadreport"><b>Upload Report</b></lable>
+                        <input class="form control" type="file" name="Upload Report" required><br><br><br>
+
+
+
+
+
+                        <a href="result.html"> <button>result</button></a>
+                    </dev>
+                </dev>
+            </dev>
+        </form>
+
+    </dev>
+
+</body>
+
+</html>
\ No newline at end of file

Side effect/templates/css/bootstrap/bootstrap-reboot.css

+/*!
+ * Bootstrap Reboot v4.1.0 (https://getbootstrap.com/)
+ * Copyright 2011-2018 The Bootstrap Authors
+ * Copyright 2011-2018 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
+ */
+*,
+*::before,
+*::after {
+  -webkit-box-sizing: border-box;
+  box-sizing: border-box; }
+
+html {
+  font-family: sans-serif;
+  line-height: 1.15;
+  -webkit-text-size-adjust: 100%;
+  -ms-text-size-adjust: 100%;
+  -ms-overflow-style: scrollbar;
+  -webkit-tap-highlight-color: rgba(0, 0, 0, 0); }
+
+@-ms-viewport {
+  width: device-width; }
+
+article, aside, dialog, figcaption, figure, footer, header, hgroup, main, nav, section {
+  display: block; }
+
+body {
+  margin: 0;
+  font-family: "Work Sans", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
+  font-size: 1rem;
+  font-weight: 400;
+  line-height: 1.5;
+  color: #212529;
+  text-align: left;
+  background-color: #fff; }
+
+[tabindex="-1"]:focus {
+  outline: 0 !important; }
+
+hr {
+  -webkit-box-sizing: content-box;
+  box-sizing: content-box;
+  height: 0;
+  overflow: visible; }
+
+h1, h2, h3, h4, h5, h6 {
+  margin-top: 0;
+  margin-bottom: 0.5rem; }
+
+p {
+  margin-top: 0;
+  margin-bottom: 1rem; }
+
+abbr[title],
+abbr[data-original-title] {
+  text-decoration: underline;
+  -webkit-text-decoration: underline dotted;
+  text-decoration: underline dotted;
+  cursor: help;
+  border-bottom: 0; }
+
+address {
+  margin-bottom: 1rem;
+  font-style: normal;
+  line-height: inherit; }
+
+ol,
+ul,
+dl {
+  margin-top: 0;
+  margin-bottom: 1rem; }
+
+ol ol,
+ul ul,
+ol ul,
+ul ol {
+  margin-bottom: 0; }
+
+dt {
+  font-weight: 700; }
+
+dd {
+  margin-bottom: .5rem;
+  margin-left: 0; }
+
+blockquote {
+  margin: 0 0 1rem; }
+
+dfn {
+  font-style: italic; }
+
+b,
+strong {
+  font-weight: bolder; }
+
+small {
+  font-size: 80%; }
+
+sub,
+sup {
+  position: relative;
+  font-size: 75%;
+  line-height: 0;
+  vertical-align: baseline; }
+
+sub {
+  bottom: -.25em; }
+
+sup {
+  top: -.5em; }
+
+a {
+  color: #78d5ef;
+  text-decoration: none;
+  background-color: transparent;
+  -webkit-text-decoration-skip: objects; }
+  a:hover {
+    color: #34c0e7;
+    text-decoration: underline; }
+
+a:not([href]):not([tabindex]) {
+  color: inherit;
+  text-decoration: none; }
+  a:not([href]):not([tabindex]):hover, a:not([href]):not([tabindex]):focus {
+    color: inherit;
+    text-decoration: none; }
+  a:not([href]):not([tabindex]):focus {
+    outline: 0; }
+
+pre,
+code,
+kbd,
+samp {
+  font-family: monospace, monospace;
+  font-size: 1em; }
+
+pre {
+  margin-top: 0;
+  margin-bottom: 1rem;
+  overflow: auto;
+  -ms-overflow-style: scrollbar; }
+
+figure {
+  margin: 0 0 1rem; }
+
+img {
+  vertical-align: middle;
+  border-style: none; }
+
+svg:not(:root) {
+  overflow: hidden; }
+
+table {
+  border-collapse: collapse; }
+
+caption {
+  padding-top: 0.75rem;
+  padding-bottom: 0.75rem;
+  color: #6c757d;
+  text-align: left;
+  caption-side: bottom; }
+
+th {
+  text-align: inherit; }
+
+label {
+  display: inline-block;
+  margin-bottom: 0.5rem; }
+
+button {
+  border-radius: 0; }
+
+button:focus {
+  outline: 1px dotted;
+  outline: 5px auto -webkit-focus-ring-color; }
+
+input,
+button,
+select,
+optgroup,
+textarea {
+  margin: 0;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit; }
+
+button,
+input {
+  overflow: visible; }
+
+button,
+select {
+  text-transform: none; }
+
+button,
+html [type="button"],
+[type="reset"],
+[type="submit"] {
+  -webkit-appearance: button; }
+
+button::-moz-focus-inner,
+[type="button"]::-moz-focus-inner,
+[type="reset"]::-moz-focus-inner,
+[type="submit"]::-moz-focus-inner {
+  padding: 0;
+  border-style: none; }
+
+input[type="radio"],
+input[type="checkbox"] {
+  -webkit-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 0; }
+
+input[type="date"],
+input[type="time"],
+input[type="datetime-local"],
+input[type="month"] {
+  -webkit-appearance: listbox; }
+
+textarea {
+  overflow: auto;
+  resize: vertical; }
+
+fieldset {
+  min-width: 0;
+  padding: 0;
+  margin: 0;
+  border: 0; }
+
+legend {
+  display: block;
+  width: 100%;
+  max-width: 100%;
+  padding: 0;
+  margin-bottom: .5rem;
+  font-size: 1.5rem;
+  line-height: inherit;
+  color: inherit;
+  white-space: normal; }
+
+progress {
+  vertical-align: baseline; }
+
+[type="number"]::-webkit-inner-spin-button,
+[type="number"]::-webkit-outer-spin-button {
+  height: auto; }
+
+[type="search"] {
+  outline-offset: -2px;
+  -webkit-appearance: none; }
+
+[type="search"]::-webkit-search-cancel-button,
+[type="search"]::-webkit-search-decoration {
+  -webkit-appearance: none; }
+
+::-webkit-file-upload-button {
+  font: inherit;
+  -webkit-appearance: button; }
+
+output {
+  display: inline-block; }
+
+summary {
+  display: list-item;
+  cursor: pointer; }
+
+template {
+  display: none; }
+
+[hidden] {
+  display: none !important; }

Side effect/templates/css/css/bootstrap-reboot.css

+/*!
+ * Bootstrap Reboot v4.1.0 (https://getbootstrap.com/)
+ * Copyright 2011-2018 The Bootstrap Authors
+ * Copyright 2011-2018 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
+ */
+*,
+*::before,
+*::after {
+  -webkit-box-sizing: border-box;
+  box-sizing: border-box; }
+
+html {
+  font-family: sans-serif;
+  line-height: 1.15;
+  -webkit-text-size-adjust: 100%;
+  -ms-text-size-adjust: 100%;
+  -ms-overflow-style: scrollbar;
+  -webkit-tap-highlight-color: transparent; }
+
+@-ms-viewport {
+  width: device-width; }
+
+article, aside, dialog, figcaption, figure, footer, header, hgroup, main, nav, section {
+  display: block; }
+
+body {
+  margin: 0;
+  font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
+  font-size: 1rem;
+  font-weight: 400;
+  line-height: 1.5;
+  color: #212529;
+  text-align: left;
+  background-color: #fff; }
+
+[tabindex="-1"]:focus {
+  outline: 0 !important; }
+
+hr {
+  -webkit-box-sizing: content-box;
+  box-sizing: content-box;
+  height: 0;
+  overflow: visible; }
+
+h1, h2, h3, h4, h5, h6 {
+  margin-top: 0;
+  margin-bottom: 0.5rem; }
+
+p {
+  margin-top: 0;
+  margin-bottom: 1rem; }
+
+abbr[title],
+abbr[data-original-title] {
+  text-decoration: underline;
+  -webkit-text-decoration: underline dotted;
+  text-decoration: underline dotted;
+  cursor: help;
+  border-bottom: 0; }
+
+address {
+  margin-bottom: 1rem;
+  font-style: normal;
+  line-height: inherit; }
+
+ol,
+ul,
+dl {
+  margin-top: 0;
+  margin-bottom: 1rem; }
+
+ol ol,
+ul ul,
+ol ul,
+ul ol {
+  margin-bottom: 0; }
+
+dt {
+  font-weight: 700; }
+
+dd {
+  margin-bottom: .5rem;
+  margin-left: 0; }
+
+blockquote {
+  margin: 0 0 1rem; }
+
+dfn {
+  font-style: italic; }
+
+b,
+strong {
+  font-weight: bolder; }
+
+small {
+  font-size: 80%; }
+
+sub,
+sup {
+  position: relative;
+  font-size: 75%;
+  line-height: 0;
+  vertical-align: baseline; }
+
+sub {
+  bottom: -.25em; }
+
+sup {
+  top: -.5em; }
+
+a {
+  color: #007bff;
+  text-decoration: none;
+  background-color: transparent;
+  -webkit-text-decoration-skip: objects; }
+  a:hover {
+    color: #0056b3;
+    text-decoration: underline; }
+
+a:not([href]):not([tabindex]) {
+  color: inherit;
+  text-decoration: none; }
+  a:not([href]):not([tabindex]):hover, a:not([href]):not([tabindex]):focus {
+    color: inherit;
+    text-decoration: none; }
+  a:not([href]):not([tabindex]):focus {
+    outline: 0; }
+
+pre,
+code,
+kbd,
+samp {
+  font-family: monospace, monospace;
+  font-size: 1em; }
+
+pre {
+  margin-top: 0;
+  margin-bottom: 1rem;
+  overflow: auto;
+  -ms-overflow-style: scrollbar; }
+
+figure {
+  margin: 0 0 1rem; }
+
+img {
+  vertical-align: middle;
+  border-style: none; }
+
+svg:not(:root) {
+  overflow: hidden; }
+
+table {
+  border-collapse: collapse; }
+
+caption {
+  padding-top: 0.75rem;
+  padding-bottom: 0.75rem;
+  color: #6c757d;
+  text-align: left;
+  caption-side: bottom; }
+
+th {
+  text-align: inherit; }
+
+label {
+  display: inline-block;
+  margin-bottom: 0.5rem; }
+
+button {
+  border-radius: 0; }
+
+button:focus {
+  outline: 1px dotted;
+  outline: 5px auto -webkit-focus-ring-color; }
+
+input,
+button,
+select,
+optgroup,
+textarea {
+  margin: 0;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit; }
+
+button,
+input {
+  overflow: visible; }
+
+button,
+select {
+  text-transform: none; }
+
+button,
+html [type="button"],
+[type="reset"],
+[type="submit"] {
+  -webkit-appearance: button; }
+
+button::-moz-focus-inner,
+[type="button"]::-moz-focus-inner,
+[type="reset"]::-moz-focus-inner,
+[type="submit"]::-moz-focus-inner {
+  padding: 0;
+  border-style: none; }
+
+input[type="radio"],
+input[type="checkbox"] {
+  -webkit-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 0; }
+
+input[type="date"],
+input[type="time"],
+input[type="datetime-local"],
+input[type="month"] {
+  -webkit-appearance: listbox; }
+
+textarea {
+  overflow: auto;
+  resize: vertical; }
+
+fieldset {
+  min-width: 0;
+  padding: 0;
+  margin: 0;
+  border: 0; }
+
+legend {
+  display: block;
+  width: 100%;
+  max-width: 100%;
+  padding: 0;
+  margin-bottom: .5rem;
+  font-size: 1.5rem;
+  line-height: inherit;
+  color: inherit;
+  white-space: normal; }
+
+progress {
+  vertical-align: baseline; }
+
+[type="number"]::-webkit-inner-spin-button,
+[type="number"]::-webkit-outer-spin-button {
+  height: auto; }
+
+[type="search"] {
+  outline-offset: -2px;
+  -webkit-appearance: none; }
+
+[type="search"]::-webkit-search-cancel-button,
+[type="search"]::-webkit-search-decoration {
+  -webkit-appearance: none; }
+
+::-webkit-file-upload-button {
+  font: inherit;
+  -webkit-appearance: button; }
+
+output {
+  display: inline-block; }
+
+summary {
+  display: list-item;
+  cursor: pointer; }
+
+template {
+  display: none; }
+
+[hidden] {
+  display: none !important; }

Side effect/templates/css/open-iconic-bootstrap.min.css

+@font-face{font-family:Icons;src:url(../fonts/open-iconic/open-iconic.eot);src:url(../fonts/open-iconic/open-iconic.eot?#iconic-sm) format('embedded-opentype'),url(../fonts/open-iconic/open-iconic.woff) format('woff'),url(../fonts/open-iconic/open-iconic.ttf) format('truetype'),url(../fonts/open-iconic/open-iconic.otf) format('opentype'),url(../fonts/open-iconic/open-iconic.svg#iconic-sm) format('svg');font-weight:400;font-style:normal}.oi{position:relative;top:1px;display:inline-block;speak:none;font-family:Icons;font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.oi:empty:before{width:1em;text-align:center;box-sizing:content-box}.oi.oi-align-center:before{text-align:center}.oi.oi-align-left:before{text-align:left}.oi.oi-align-right:before{text-align:right}.oi.oi-flip-horizontal:before{-webkit-transform:scale(-1,1);-ms-transform:scale(-1,1);transform:scale(-1,1)}.oi.oi-flip-vertical:before{-webkit-transform:scale(1,-1);-ms-transform:scale(-1,1);transform:scale(1,-1)}.oi.oi-flip-horizontal-vertical:before{-webkit-transform:scale(-1,-1);-ms-transform:scale(-1,1);transform:scale(-1,-1)}.oi-account-login:before{content:'\e000'}.oi-account-logout:before{content:'\e001'}.oi-action-redo:before{content:'\e002'}.oi-action-undo:before{content:'\e003'}.oi-align-center:before{content:'\e004'}.oi-align-left:before{content:'\e005'}.oi-align-right:before{content:'\e006'}.oi-aperture:before{content:'\e007'}.oi-arrow-bottom:before{content:'\e008'}.oi-arrow-circle-bottom:before{content:'\e009'}.oi-arrow-circle-left:before{content:'\e00a'}.oi-arrow-circle-right:before{content:'\e00b'}.oi-arrow-circle-top:before{content:'\e00c'}.oi-arrow-left:before{content:'\e00d'}.oi-arrow-right:before{content:'\e00e'}.oi-arrow-thick-bottom:before{content:'\e00f'}.oi-arrow-thick-left:before{content:'\e010'}.oi-arrow-thick-right:before{content:'\e011'}.oi-arrow-thick-top:before{content:'\e012'}.oi-arrow-top:before{content:'\e013'}.oi-audio-spectrum:before{content:'\e014'}.oi-audio:before{content:'\e015'}.oi-badge:before{content:'\e016'}.oi-ban:before{content:'\e017'}.oi-bar-chart:before{content:'\e018'}.oi-basket:before{content:'\e019'}.oi-battery-empty:before{content:'\e01a'}.oi-battery-full:before{content:'\e01b'}.oi-beaker:before{content:'\e01c'}.oi-bell:before{content:'\e01d'}.oi-bluetooth:before{content:'\e01e'}.oi-bold:before{content:'\e01f'}.oi-bolt:before{content:'\e020'}.oi-book:before{content:'\e021'}.oi-bookmark:before{content:'\e022'}.oi-box:before{content:'\e023'}.oi-briefcase:before{content:'\e024'}.oi-british-pound:before{content:'\e025'}.oi-browser:before{content:'\e026'}.oi-brush:before{content:'\e027'}.oi-bug:before{content:'\e028'}.oi-bullhorn:before{content:'\e029'}.oi-calculator:before{content:'\e02a'}.oi-calendar:before{content:'\e02b'}.oi-camera-slr:before{content:'\e02c'}.oi-caret-bottom:before{content:'\e02d'}.oi-caret-left:before{content:'\e02e'}.oi-caret-right:before{content:'\e02f'}.oi-caret-top:before{content:'\e030'}.oi-cart:before{content:'\e031'}.oi-chat:before{content:'\e032'}.oi-check:before{content:'\e033'}.oi-chevron-bottom:before{content:'\e034'}.oi-chevron-left:before{content:'\e035'}.oi-chevron-right:before{content:'\e036'}.oi-chevron-top:before{content:'\e037'}.oi-circle-check:before{content:'\e038'}.oi-circle-x:before{content:'\e039'}.oi-clipboard:before{content:'\e03a'}.oi-clock:before{content:'\e03b'}.oi-cloud-download:before{content:'\e03c'}.oi-cloud-upload:before{content:'\e03d'}.oi-cloud:before{content:'\e03e'}.oi-cloudy:before{content:'\e03f'}.oi-code:before{content:'\e040'}.oi-cog:before{content:'\e041'}.oi-collapse-down:before{content:'\e042'}.oi-collapse-left:before{content:'\e043'}.oi-collapse-right:before{content:'\e044'}.oi-collapse-up:before{content:'\e045'}.oi-command:before{content:'\e046'}.oi-comment-square:before{content:'\e047'}.oi-compass:before{content:'\e048'}.oi-contrast:before{content:'\e049'}.oi-copywriting:before{content:'\e04a'}.oi-credit-card:before{content:'\e04b'}.oi-crop:before{content:'\e04c'}.oi-dashboard:before{content:'\e04d'}.oi-data-transfer-download:before{content:'\e04e'}.oi-data-transfer-upload:before{content:'\e04f'}.oi-delete:before{content:'\e050'}.oi-dial:before{content:'\e051'}.oi-document:before{content:'\e052'}.oi-dollar:before{content:'\e053'}.oi-double-quote-sans-left:before{content:'\e054'}.oi-double-quote-sans-right:before{content:'\e055'}.oi-double-quote-serif-left:before{content:'\e056'}.oi-double-quote-serif-right:before{content:'\e057'}.oi-droplet:before{content:'\e058'}.oi-eject:before{content:'\e059'}.oi-elevator:before{content:'\e05a'}.oi-ellipses:before{content:'\e05b'}.oi-envelope-closed:before{content:'\e05c'}.oi-envelope-open:before{content:'\e05d'}.oi-euro:before{content:'\e05e'}.oi-excerpt:before{content:'\e05f'}.oi-expand-down:before{content:'\e060'}.oi-expand-left:before{content:'\e061'}.oi-expand-right:before{content:'\e062'}.oi-expand-up:before{content:'\e063'}.oi-external-link:before{content:'\e064'}.oi-eye:before{content:'\e065'}.oi-eyedropper:before{content:'\e066'}.oi-file:before{content:'\e067'}.oi-fire:before{content:'\e068'}.oi-flag:before{content:'\e069'}.oi-flash:before{content:'\e06a'}.oi-folder:before{content:'\e06b'}.oi-fork:before{content:'\e06c'}.oi-fullscreen-enter:before{content:'\e06d'}.oi-fullscreen-exit:before{content:'\e06e'}.oi-globe:before{content:'\e06f'}.oi-graph:before{content:'\e070'}.oi-grid-four-up:before{content:'\e071'}.oi-grid-three-up:before{content:'\e072'}.oi-grid-two-up:before{content:'\e073'}.oi-hard-drive:before{content:'\e074'}.oi-header:before{content:'\e075'}.oi-headphones:before{content:'\e076'}.oi-heart:before{content:'\e077'}.oi-home:before{content:'\e078'}.oi-image:before{content:'\e079'}.oi-inbox:before{content:'\e07a'}.oi-infinity:before{content:'\e07b'}.oi-info:before{content:'\e07c'}.oi-italic:before{content:'\e07d'}.oi-justify-center:before{content:'\e07e'}.oi-justify-left:before{content:'\e07f'}.oi-justify-right:before{content:'\e080'}.oi-key:before{content:'\e081'}.oi-laptop:before{content:'\e082'}.oi-layers:before{content:'\e083'}.oi-lightbulb:before{content:'\e084'}.oi-link-broken:before{content:'\e085'}.oi-link-intact:before{content:'\e086'}.oi-list-rich:before{content:'\e087'}.oi-list:before{content:'\e088'}.oi-location:before{content:'\e089'}.oi-lock-locked:before{content:'\e08a'}.oi-lock-unlocked:before{content:'\e08b'}.oi-loop-circular:before{content:'\e08c'}.oi-loop-square:before{content:'\e08d'}.oi-loop:before{content:'\e08e'}.oi-magnifying-glass:before{content:'\e08f'}.oi-map-marker:before{content:'\e090'}.oi-map:before{content:'\e091'}.oi-media-pause:before{content:'\e092'}.oi-media-play:before{content:'\e093'}.oi-media-record:before{content:'\e094'}.oi-media-skip-backward:before{content:'\e095'}.oi-media-skip-forward:before{content:'\e096'}.oi-media-step-backward:before{content:'\e097'}.oi-media-step-forward:before{content:'\e098'}.oi-media-stop:before{content:'\e099'}.oi-medical-cross:before{content:'\e09a'}.oi-menu:before{content:'\e09b'}.oi-microphone:before{content:'\e09c'}.oi-minus:before{content:'\e09d'}.oi-monitor:before{content:'\e09e'}.oi-moon:before{content:'\e09f'}.oi-move:before{content:'\e0a0'}.oi-musical-note:before{content:'\e0a1'}.oi-paperclip:before{content:'\e0a2'}.oi-pencil:before{content:'\e0a3'}.oi-people:before{content:'\e0a4'}.oi-person:before{content:'\e0a5'}.oi-phone:before{content:'\e0a6'}.oi-pie-chart:before{content:'\e0a7'}.oi-pin:before{content:'\e0a8'}.oi-play-circle:before{content:'\e0a9'}.oi-plus:before{content:'\e0aa'}.oi-power-standby:before{content:'\e0ab'}.oi-print:before{content:'\e0ac'}.oi-project:before{content:'\e0ad'}.oi-pulse:before{content:'\e0ae'}.oi-puzzle-piece:before{content:'\e0af'}.oi-question-mark:before{content:'\e0b0'}.oi-rain:before{content:'\e0b1'}.oi-random:before{content:'\e0b2'}.oi-reload:before{content:'\e0b3'}.oi-resize-both:before{content:'\e0b4'}.oi-resize-height:before{content:'\e0b5'}.oi-resize-width:before{content:'\e0b6'}.oi-rss-alt:before{content:'\e0b7'}.oi-rss:before{content:'\e0b8'}.oi-script:before{content:'\e0b9'}.oi-share-boxed:before{content:'\e0ba'}.oi-share:before{content:'\e0bb'}.oi-shield:before{content:'\e0bc'}.oi-signal:before{content:'\e0bd'}.oi-signpost:before{content:'\e0be'}.oi-sort-ascending:before{content:'\e0bf'}.oi-sort-descending:before{content:'\e0c0'}.oi-spreadsheet:before{content:'\e0c1'}.oi-star:before{content:'\e0c2'}.oi-sun:before{content:'\e0c3'}.oi-tablet:before{content:'\e0c4'}.oi-tag:before{content:'\e0c5'}.oi-tags:before{content:'\e0c6'}.oi-target:before{content:'\e0c7'}.oi-task:before{content:'\e0c8'}.oi-terminal:before{content:'\e0c9'}.oi-text:before{content:'\e0ca'}.oi-thumb-down:before{content:'\e0cb'}.oi-thumb-up:before{content:'\e0cc'}.oi-timer:before{content:'\e0cd'}.oi-transfer:before{content:'\e0ce'}.oi-trash:before{content:'\e0cf'}.oi-underline:before{content:'\e0d0'}.oi-vertical-align-bottom:before{content:'\e0d1'}.oi-vertical-align-center:before{content:'\e0d2'}.oi-vertical-align-top:before{content:'\e0d3'}.oi-video:before{content:'\e0d4'}.oi-volume-high:before{content:'\e0d5'}.oi-volume-low:before{content:'\e0d6'}.oi-volume-off:before{content:'\e0d7'}.oi-warning:before{content:'\e0d8'}.oi-wifi:before{content:'\e0d9'}.oi-wrench:before{content:'\e0da'}.oi-x:before{content:'\e0db'}.oi-yen:before{content:'\e0dc'}.oi-zoom-in:before{content:'\e0dd'}.oi-zoom-out:before{content:'\e0de'}
\ No newline at end of file

Side effect/templates/css/owl.carousel.min.css

+/**
+ * Owl Carousel v2.3.0
+ * Copyright 2013-2017 David Deutsch
+ * Licensed under  ()
+ */
+.owl-carousel,.owl-carousel .owl-item{-webkit-tap-highlight-color:transparent;position:relative}.owl-carousel{display:none;width:100%;z-index:1}.owl-carousel .owl-stage{position:relative;-ms-touch-action:pan-Y;touch-action:manipulation;-moz-backface-visibility:hidden}.owl-carousel .owl-stage:after{content:".";display:block;clear:both;visibility:hidden;line-height:0;height:0}.owl-carousel .owl-stage-outer{position:relative;overflow:hidden;-webkit-transform:translate3d(0,0,0)}.owl-carousel .owl-item,.owl-carousel .owl-wrapper{-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-webkit-transform:translate3d(0,0,0);-moz-transform:translate3d(0,0,0);-ms-transform:translate3d(0,0,0)}.owl-carousel .owl-item{min-height:1px;float:left;-webkit-backface-visibility:hidden;-webkit-touch-callout:none}.owl-carousel .owl-item img{display:block;width:100%}.owl-carousel .owl-dots.disabled,.owl-carousel .owl-nav.disabled{display:none}.no-js .owl-carousel,.owl-carousel.owl-loaded{display:block}.owl-carousel .owl-dot,.owl-carousel .owl-nav .owl-next,.owl-carousel .owl-nav .owl-prev{cursor:pointer;cursor:hand;-webkit-user-select:none;-khtml-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.owl-carousel .owl-nav button.owl-next,.owl-carousel .owl-nav button.owl-prev,.owl-carousel button.owl-dot{background:0 0;color:inherit;border:none;padding:0!important;font:inherit}.owl-carousel.owl-loading{opacity:0;display:block}.owl-carousel.owl-hidden{opacity:0}.owl-carousel.owl-refresh .owl-item{visibility:hidden}.owl-carousel.owl-drag .owl-item{-ms-touch-action:none;touch-action:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.owl-carousel.owl-grab{cursor:move;cursor:grab}.owl-carousel.owl-rtl{direction:rtl}.owl-carousel.owl-rtl .owl-item{float:right}.owl-carousel .animated{-webkit-animation-duration:1s;animation-duration:1s;-webkit-animation-fill-mode:both;animation-fill-mode:both}.owl-carousel .owl-animated-in{z-index:0}.owl-carousel .owl-animated-out{z-index:1}.owl-carousel .fadeOut{-webkit-animation-name:fadeOut;animation-name:fadeOut}@-webkit-keyframes fadeOut{0%{opacity:1}100%{opacity:0}}@keyframes fadeOut{0%{opacity:1}100%{opacity:0}}.owl-height{transition:height .5s ease-in-out}.owl-carousel .owl-item .owl-lazy{opacity:0;transition:opacity .4s ease}.owl-carousel .owl-item img.owl-lazy{-webkit-transform-style:preserve-3d;transform-style:preserve-3d}.owl-carousel .owl-video-wrapper{position:relative;height:100%;background:#000}.owl-carousel .owl-video-play-icon{position:absolute;height:80px;width:80px;left:50%;top:50%;margin-left:-40px;margin-top:-40px;background:url(owl.video.play.png) no-repeat;cursor:pointer;z-index:1;-webkit-backface-visibility:hidden;transition:-webkit-transform .1s ease;transition:transform .1s ease}.owl-carousel .owl-video-play-icon:hover{-webkit-transform:scale(1.3,1.3);-ms-transform:scale(1.3,1.3);transform:scale(1.3,1.3)}.owl-carousel .owl-video-playing .owl-video-play-icon,.owl-carousel .owl-video-playing .owl-video-tn{display:none}.owl-carousel .owl-video-tn{opacity:0;height:100%;background-position:center center;background-repeat:no-repeat;background-size:contain;transition:opacity .4s ease}.owl-carousel .owl-video-frame{position:relative;z-index:1;height:100%;width:100%}
\ No newline at end of file

Side effect/templates/css/owl.theme.default.min.css

+/**
+ * Owl Carousel v2.2.1
+ * Copyright 2013-2017 David Deutsch
+ * Licensed under  ()
+ */
+.owl-theme .owl-dots,
+.owl-theme .owl-nav{text-align:center;-webkit-tap-highlight-color:transparent}
+.owl-theme .owl-nav{margin-top:10px}
+.owl-theme .owl-nav [class*=owl-]{color:#FFF;font-size:14px;margin:5px;padding:4px 7px;background:#D6D6D6;display:inline-block;cursor:pointer;border-radius:3px;position: absolute;}
+.owl-theme .owl-nav [class*=owl-]:hover{background:#869791;color:#FFF;text-decoration:none}
+.owl-theme .owl-nav .disabled{opacity:.5;cursor:default}
+.owl-theme .owl-nav.disabled+.owl-dots{margin-top:10px}
+.owl-theme .owl-dots .owl-dot{display:inline-block;zoom:1}
+.owl-theme .owl-dots .owl-dot span{width:10px;height:10px;margin:5px 7px;background:#D6D6D6;display:block;-webkit-backface-visibility:visible;transition:opacity .2s ease;border-radius:30px}
+.owl-theme .owl-dots .owl-dot.active span,.owl-theme .owl-dots .owl-dot:hover span{background:#869791}
\ No newline at end of file

Side effect/templates/fonts/flaticon/backup.txt

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
\ No newline at end of file