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Commit65cd7b5

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added edge detection tutorial
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‎README.md‎

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@@ -28,7 +28,9 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
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-[Building a Speech Emotion Recognizer using Scikit-learn](https://www.thepythoncode.com/article/building-a-speech-emotion-recognizer-using-sklearn). ([code](machine-learning/speech-emotion-recognition))
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-[How to Make an Image Classifier in Python using Keras](https://www.thepythoncode.com/article/image-classification-keras-python). ([code](machine-learning/image-classifier))
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-[How to Use Transfer Learning for Image Classification using Keras in Python](https://www.thepythoncode.com/article/use-transfer-learning-for-image-flower-classification-keras-python). ([code](machine-learning/image-classifier-using-transfer-learning))
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-[How to Perform Edge Detection in Python using OpenCV](https://www.thepythoncode.com/article/canny-edge-detection-opencv-python). ([code](machine-learning/edge-detection))
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-[Top 8 Python Libraries For Data Scientists and Machine Learning Engineers](https://www.thepythoncode.com/article/top-python-libraries-for-data-scientists).
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-###[General Python Topics](https://www.thepythoncode.com/topic/general-python-topics)
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-[How to Make Facebook Messenger bot in Python](https://www.thepythoncode.com/article/make-bot-fbchat-python). ([code](general/messenger-bot))
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#[How to Perform Edge Detection in Python using OpenCV](https://www.thepythoncode.com/article/canny-edge-detection-opencv-python)
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To run this:
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-`pip3 install -r requirements.txt`
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- To detect edges of a specific image (`little_flower.jpg`):
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```
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python edge_detector.py little_flower.jpg
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```
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- To detect edges live using your webcam:
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```
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python live_edge_detector.py
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```
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importcv2
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importnumpyasnp
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importmatplotlib.pyplotasplt
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importsys
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# read the image
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image=cv2.imread(sys.argv[1])
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# convert it to grayscale
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gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
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# show the grayscale image, if you want to show, uncomment 2 below lines
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# plt.imshow(gray, cmap="gray")
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# plt.show()
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# perform the canny edge detector to detect image edges
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edges=cv2.Canny(gray,threshold1=30,threshold2=100)
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# show the detected edges
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plt.imshow(edges,cmap="gray")
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plt.show()
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importnumpyasnp
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importcv2
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cap=cv2.VideoCapture(0)
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whileTrue:
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_,frame=cap.read()
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gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
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edges=cv2.Canny(gray,30,100)
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cv2.imshow("edges",edges)
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cv2.imshow("gray",gray)
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ifcv2.waitKey(1)==ord("q"):
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break
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cap.release()
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cv2.destroyAllWindows()
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opencv-python
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numpy
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matplotlib

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