Commit 8781335

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Merge pull request avinashkranjan#1161 from naazkakria/master

Improvised face detection code added

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	`1`	`+# FACE DETECTION`
	`2`	`+`
	`3`	`+[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)`
	`4`	`+`
	`5`	`+This project is to create using python , openCv through which we can check weather we are able to detect face or not.`
	`6`	`+`
	`7`	`+## Usage`
	`8`	`+* we can check weather we are able to detect face or not`
	`9`	`+`
	`10`	`+`
	`11`	`+## Output :smiley:`
	`12`	`+<img width="528" alt="figure" src="https://github.com/naazkakria/face_recognition_/blob/main/image_detected.jpeg">`
	`13`	`+`
	`14`	`+## Authors`
	`15`	`+Written by [Naaz](https://github.com/naazkakria)`
	`16`	`+`
	`17`	`+`

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	`1`	`+import cv2`
	`2`	`+cap=cv2.VideoCapture(0)`
	`3`	`+face_cascade =cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")`
	`4`	`+`
	`5`	`+while True:`
	`6`	`+ ## capture camera frame, and ret store true and false`
	`7`	`+ r, frame= cap.read()`
	`8`	`+ gray_frame =cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)`
	`9`	`+`
	`10`	`+ if r==False:`
	`11`	`+ continue`
	`12`	`+ faces=face_cascade.detectMultiScale(gray_frame,1.3,5)`
	`13`	`+`
	`14`	`+ ## """ The first argument is the image, the second is the`
	`15`	`+ ## scalefactor (how much the image size will be reduced at each image scale),`
	`16`	`+ ## and the third is the minNeighbors (how many neighbors each rectangle should have)"""`
	`17`	`+`
	`18`	`+ for(x,y,w,h) in faces:`
	`19`	`+ cv2.rectangle(frame,(x,y),(x+w,y+h),(255,125,0),2)## color and width`
	`20`	`+ cv2.putText(frame,"DETECTED",(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,(100,125,255),1,cv2.LINE_AA)`
	`21`	`+ cv2.imshow("video frame",frame)`
	`22`	`+ key_pressed =cv2.waitKey(1) & 0xFF`
	`23`	`+`
	`24`	`+ ## """cv2.waitKey() returns a 32 Bit integer value (might be dependent on the platform).`
	`25`	`+ ## The key input is in ASCII which is an 8 Bit integer value. So you only care`
	`26`	`+ ## about these 8 bits and want all other bits to be 0. This you can achieve with:0xFF"""`
	`27`	`+`
	`28`	`+ ### ord converts characters in unicode`
	`29`	`+ if key_pressed ==ord('n'):`
	`30`	`+ break`
	`31`	`+`
	`32`	`+cap.release()`
	`33`	`+cv2.destroyAllWindows()`

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