Merge pull request #13 from subhayu99/LastPR

PR-4

Author: DeepNinja07x

Automation/JpgToAnyFormatConvertor/JpgToAllFormatConvertor.py

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+'''
+Script uses Pillow module to read the image and convert it to png.
+sys module for accepting inputs from terminal and os module 
+for operations on pathnames.
+
+Install Pillow module through "pip install pillow"
+'''
+
+import sys,os
+from PIL import Image
+
+source_folder = sys.argv[1]  # Accepts source folder given in terminal
+destination_folder = sys.argv[2] # Accepts destination folder given in terminal
+
+if not os.path.exists(destination_folder):  #Check if destination folder exists,if not creates one
+    os.makedirs(destination_folder)
+
+choice=1
+while choice!=5:
+    print("Press 1 -> To convert to PNG")
+    print("Press 2 -> To convert to SVG")
+    print("Press 3 -> To convert to GIF")
+    print("Press 4 -> To Exit")
+    choice=int(input("Enter your Choice: "))
+    print()
+    if choice==1:
+        for filename in os.listdir(source_folder): # For each file present in Source folder
+            file = os.path.splitext(filename)[0]  # Splits file name into as tuple as ('filename','.extension')
+            img = Image.open(f'{source_folder}/{filename}')
+            img.save(f'{destination_folder}/{file}.png','png') #Converts to png format
+            print("Image converted to PNG!")
+            print()
+            
+    elif choice==2:
+        for filename in os.listdir(source_folder): # For each file present in Source folder
+            file = os.path.splitext(filename)[0]  # Splits file name into as tuple as ('filename','.extension')
+            img = Image.open(f'{source_folder}/{filename}')
+            img.save(f'{destination_folder}/{file}.svg','svg') #Converts to svg format
+            print("Image converted to SVG!")
+            print()
+
+    elif choice==3:
+        for filename in os.listdir(source_folder): # For each file present in Source folder
+            file = os.path.splitext(filename)[0]  # Splits file name into as tuple as ('filename','.extension')
+            img = Image.open(f'{source_folder}/{filename}')
+            img.save(f'{destination_folder}/{file}.gif','gif') #Converts to gif format
+            print("Image converted to GIF!")
+            print()
+
+    else:
+        sys.exit()
+        
+
+'''
+Sample input to run in terminal:
+->Python3 JpgToPngConvertor.py Source_Images Destination_Images
+
+Output:
+Press 1 -> To convert to PNG
+Press 2 -> To convert to SVG
+Press 3 -> To convert to GIF
+Press 4 -> To Exit
+Enter your Choice: 1
+
+Images converted to PNG!
+'''
+

Automation/JpgToAnyFormatConvertor/README.md

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+# JPG to All Picture Format Convertor
+
+* This script converts the list of JPG images available in source folder to PNG, SVG, and GIF images
+which will get stored in destination folder with help of Pillow module.
+
+* Pillow is a free and open-source additional library for the Python programming language 
+that adds support for opening, manipulating, and saving many different image file formats.
+
+* Pillow module can be installed using following command "pip install pillow"

Automation/LinksExtractor/LinksExtractor.py

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+# Importing required libraries
+from urllib.request import Request, urlopen
+from bs4 import BeautifulSoup
+from xlwt import Workbook 
+from datetime import datetime
+
+#Tacking URL input from user
+url=input("Enter site to get links\n")
+links=[]
+while(len(url)==0):
+    url=input("Enter site to get links\n")
+try:
+    # Sending request to server using Urllib
+    req = Request(url, headers={'User-Agent': 'Mozilla/5.0'})
+    html_data = urlopen(req).read()
+
+    #Beautyfying all data to html form 
+    soup=BeautifulSoup(html_data,'html.parser')
+
+    #Retriving all anchor tags in html data
+    tags=soup('a')
+
+    #Adding all href attribute values to list
+    for tag in tags:
+            if tag.has_attr('href'):
+                links.append(tag['href'])
+except:
+    #Check if any errors
+    print("Please check the URL properly")
+if(len(links)==0):
+    print("No links to fetch")
+else:
+    # Tackning workbook
+    wb=Workbook()
+
+    #Creaing sheet in workbook
+    sheet1 = wb.add_sheet('Links')
+
+    #adding all data in list to excel sheet
+    for i in range(0,len(links)):
+        sheet1.write(i,0,links[i])
+    
+    #Getting date and time to create file
+    data_time=datetime.now()
+    current_time = str(data_time.strftime("%H-%M-%S"))
+    
+    #Adding time to file name and saving file locally
+    wb.save('links for '+current_time+'.xls')
+    print("Done writing data to excel sheet")

Automation/LinksExtractor/README.md

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+# Links extractor script
+Links extractor is a python script which helps in extracting all the links in a web page. 
+It goes through all the content in html data and extract data from all anchor tags.
+
+## Libraries used
+* urllib is a python library used to send request used to website to retrive html content
+
+* bs4 is used to extract data from html content
+
+* xlwt is a python library used to write data to excel sheet

Automation/QrScanner/QR.png

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+import cv2 ##import the module opencv
+import numpy as np ##import the module numpy
+import pyzbar.pyzbar as pyzbar ##import the module pyzbar
+
+img = cv2.imread("QR.png") ##read your image 
+decode_QR = pyzbar.decode(img) ##function to decode QR
+
+for i in decode_QR:
+	print("your scanned QR :",i.data)
+
+cv2.imshow("QR ", img) ##display Cropped image
+cv2.waitKey(0)

Automation/QrScanner/QrScanner.py

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+# Image Processing
+
+Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'. 
+Don't be confused - we are going to talk about both of these terms and how they connect. 
+Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing,
+the output is also an image, whereas in computer vision the output can be some features/information about the image.
+
+## OpenCV
+
+![](https://logodix.com/logo/1989939.png)
+
+## Installation
+
+### Windows
+ $ pip install opencv-python
+ $ pip install pyzbar
+### MacOS
+   $ brew install opencv3 --with-contrib --with-python3
+   $ brew install zbar
+### Linux
+   $ sudo apt-get install libopencv-dev python-opencv
+   $ sudo apt-get install libzbar0