Merge pull request #324 from Tejas1510/toonify

toonify any image using open cv

Author: yashaswibiyahut

Python/ToonifyImage/Readme.MD

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+# Toonify a Given Image
+
+## Introduction
+```
+This is a python application which takes a image as input and toonify it (make a cartoonist image of it) using https://deepai.org/machine-learning-model/toonify api.
+You can read more about the Api here : https://deepai.org/machine-learning-model/toonify
+```
+## Third Party Libraries Required :
+1. Request Module # to fetch given image
+2. shutil Module # to save image locally
+
+## How to install above Library
+```
+pip install requests
+pip install shutil
+```
+## How to use it :
+1. Download or clone the repository
+2. Install Required Libraries
+4. Run toonify.py
+3. In command line add you api key which you will get by signing up on https://deepai.org/machine-learning-model/toonify
+5. you will be asked to give the path of image you want to toonify
+6. you will get the toonified image in the same directory
+
+## Output
+
+### Original image
+
+![endpoint](https://github.com/Tejas1510/hacking-tools-scripts/blob/toonify/Python/ToonifyImage/images/rohit.png)
+
+### Toonified image
+
+![endpoint](https://github.com/Tejas1510/hacking-tools-scripts/blob/toonify/Python/ToonifyImage/images/output.jpg)
+
+![built with love](https://forthebadge.com/images/badges/built-with-love.svg)
+
+Check out my Github profile [Tejas1510!](https://github.com/Tejas1510)

Python/ToonifyImage/images/output.jpg

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+import requests
+import shutil # to save image locally
+# taking the path of image
+imagePath=input("Please enter the path of image to toonify : ")
+#taking api key
+api_key=input("Please enter your api key")
+# using python request module to fetch the data
+r = requests.post(
+    "https://api.deepai.org/api/toonify",
+    files={
+        'image': open(imagePath, 'rb'),
+    },
+    headers={'api-key': api_key}
+)
+y=r.json()
+# fetching the path of the image formed from json which we have got
+image_url=y['output_url']
+filename = image_url.split("/")[-1]
+# Open the url image
+r1 = requests.get(image_url, stream = True)
+# Check if the image was retrieved successfully
+if r1.status_code == 200:
+    # Set decode_content value to True, otherwise the downloaded image file's size will be zero.
+    r1.raw.decode_content = True
+    # Open a local file with wb ( write binary ) permission.
+    with open(filename,'wb') as f:
+        shutil.copyfileobj(r1.raw, f)
+    print('Image sucessfully Downloaded: ',filename)
+else:
+    print('Image Couldn\'t be retreived')