Commit 4ccbb63

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Merge pull request avinashkranjan#601 from Avishake007/new_branch

Added Body Detection

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	`1`	`+`
	`2`	`+<h1 align="center"> Body Detection</h1>`
	`3`	`+Detect your Body with this`
	`4`	`+`
	`5`	`+---------------------------------------------------------------------`
	`6`	`+`
	`7`	`+## Modules Used`
	`8`	`+-opencv`
	`9`	`+`
	`10`	`+`
	`11`	`+## How it works`
	`12`	`+- First you have to enter the correct path where your video is located.`
	`13`	`+- Then it will convert your video frame by frame into grayscale`
	`14`	`+- Then it will detect your Body using the fullbody cascade xml file`
	`15`	`+- Then you could see green rectangle boxes appearing which is detecting your body`
	`16`	`+`
	`17`	`+#### By [Avishake Maji](https://github.com/Avishake007)`

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	`1`	`+import cv2`
	`2`	`+`
	`3`	`+# Load the Cascade Classifier`
	`4`	`+body_cascade = cv2.CascadeClassifier("haarcascade_fullbody.xml")`
	`5`	`+videopath=input("Enter the video Path : ")`
	`6`	`+#Capture the video`
	`7`	`+cap = cv2.VideoCapture(videopath)`
	`8`	`+`
	`9`	`+while True:`
	`10`	`+`
	`11`	`+ #read image from video`
	`12`	`+ response,frame = cap.read()`
	`13`	`+`
	`14`	`+ if response == False:`
	`15`	`+ break`
	`16`	`+`
	`17`	`+ # Convert to grayscale`
	`18`	`+ gray_img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)`
	`19`	`+`
	`20`	`+ # Detect the full body`
	`21`	`+ faces = body_cascade.detectMultiScale(gray_img, 1.1, 1)`
	`22`	`+`
	`23`	`+ #display rectangle`
	`24`	`+ for (x, y, w, h) in faces:`
	`25`	`+ cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)`
	`26`	`+`
	`27`	`+ # display video`
	`28`	`+ cv2.imshow('img', frame)`
	`29`	`+`
	`30`	`+ if cv2.waitKey(1) & 0xFF == ord('q'):# Enter q to quit`
	`31`	`+ break`
	`32`	`+`
	`33`	`+# Release the VideoCapture object`
	`34`	`+cap.release()`
	`35`	`+cv2.destroyAllWindows()`

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