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Commit 2afe21c

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Merge pull request avinashkranjan#610 from ShubhamGupta577/Edge-Detection-Using-OpenCV
Edge detection using open cv
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‎Edge Detection/Edge_Detection.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"name": "Edge Detection.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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}
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},
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"cells": [
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{
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"cell_type": "code",
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"metadata": {
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"id": "YHDlTX5nCuJH"
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},
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"source": [
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"'''\r\n",
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" For uploading the picture in colab follow the given steps\r\n",
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" 1. Click on the folder icon given in the left side of colab window\r\n",
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" 2. Click on the upload icon.\r\n",
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" 3. Select the image you want to upload.\r\n",
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" 4. Right click on the uploaded image, click on \"copy path\"\r\n",
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" 5. Paste it as a input when path will be asked \r\n",
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"'''\r\n",
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"#Importing openCV library\r\n",
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"import cv2 as cv\r\n",
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"#For printing the image in google colab\r\n",
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"from google.colab.patches import cv2_imshow\r\n",
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"\r\n",
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"path=input(\"Enter the path of uploaded image\")\r\n",
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"img=cv.imread(path)\r\n",
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"#Printing the original image\r\n",
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"cv2_imshow(img)\r\n",
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"#Reducing the noise from the image\r\n",
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"gray=cv.cvtColor(img,cv.COLOR_RGB2GRAY)\r\n",
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"\r\n",
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"#Using Canny algorithm to detect the edges of the image\r\n",
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"#You can vary the quality by changing 2nd and 3rd parameter in following function\r\n",
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"final=cv.Canny(gray,100,200)\r\n",
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"cv2_imshow(final)"
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],
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"execution_count": null,
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"outputs": []
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}
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]
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}

‎Edge Detection/Edge_Detection.py

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'''
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For using this Script you need to install OpenCV in your machine
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'''
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#Importing openCV library
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import cv2 as cv
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#Taking path of input from the user
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path=input("Enter the path of uploaded image: ")
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img=cv.imread(path)
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img=cv.resize(img,(640,640)) #resizing the image
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#Printing the original image
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cv.imshow('Original',img)
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#Reducing the noise from the image
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gray=cv.cvtColor(img,cv.COLOR_RGB2GRAY)
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#Using Canny algorithm to detect the edges of the image
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final=cv.Canny(gray,100,200)
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print('Number of edges'+ '=' +str(len(final))) #printing Number of edges
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cv.imshow('Final',final)
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cv.waitKey(0)
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cv.destroyAllWindows()

‎Edge Detection/Readme.md

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## **Edge Detection of a image**
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This script uses `OpenCV` for taking input and output for the image. In this we are using he `Canny algorithm` for the detection of the edge
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## How to use it
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### You can use this in two ways
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* If your machine has any python intrepretor than you can go for [**Edge_Detection.py**](https://github.com/ShubhamGupta577/Amazing-Python-Scripts/blob/Edge-Detection-Using-OpenCV/Edge%20Detection/Edge_Detection.py)
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* For these you need to install **OpenCV** in your machine.
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* Another way is to use the [**Google Colab file**](https://github.com/ShubhamGupta577/Amazing-Python-Scripts/blob/Edge-Detection-Using-OpenCV/Edge%20Detection/Edge_Detection.ipynb) which will be excecute on a cloud.
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## Technologies used
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* **Python**
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* **OpenCV**
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* **Google Colab**
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## Sample Input/Output
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<img src ="https://github.com/ShubhamGupta577/Amazing-Python-Scripts/blob/Edge-Detection-Using-OpenCV/Edge%20Detection/Sample_Input.jpg" width=400/> <img src ="https://github.com/ShubhamGupta577/Amazing-Python-Scripts/blob/Edge-Detection-Using-OpenCV/Edge%20Detection/Sample_Output.png" width=400/>
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## Author
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[Shubham Gupta](https://github.com/ShubhamGupta577)

‎Edge Detection/Sample_Input.jpg

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‎Edge Detection/Sample_Output.png

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