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motion detection  with opencv  and  color extraction

camera_red_capture.py

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+#!/usr/bin/python
+
+import  cv2,time
+
+#  reading  image
+cap=cv2.VideoCapture(0)
+
+while cap.isOpened():
+
+	#  taking frames 
+	status,frame=cap.read()
+	#  extracting only  red color 
+	onlyred=cv2.inRange(frame,(0,0,0),(40,40,255))
+	print  onlyred
+	onlygreen=cv2.inRange(frame,(0,0,0),(40,255,0))
+	#cv2.imshow('onlygreen',onlygreen)
+
+	if  cv2.waitKey(1)  &  0xFF == ord('q') :
+		break 
+
+
+cv2.destroyAllWindows()
+cap.release()
+
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+

create_own_black.py

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+#!/usr/bin/python
+
+import numpy as np
+import  cv2
+
+img=np.zeros((512,512))
+
+cv2.imshow('balc',img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()

motion_detection.py

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+#!/usr/bin/python
+
+import  cv2
+#      we are taking 3 frames 
+def    imgdiff(x,y,z):
+	img1=cv2.absdiff(x,y)
+	img2=cv2.absdiff(y,z)
+	com_diff=cv2.bitwise_and(img1,img2)
+	return  com_diff
+
+cap=cv2.VideoCapture(0)
+#  taking 3 consistant frames
+frame1=cap.read()[1]
+frame2=cap.read()[1]
+frame3=cap.read()[1]
+
+#  converting  into grayscale
+gray1=cv2.cvtColor(frame1,cv2.COLOR_BGR2GRAY)
+gray2=cv2.cvtColor(frame2,cv2.COLOR_BGR2GRAY)
+gray3=cv2.cvtColor(frame3,cv2.COLOR_BGR2GRAY)
+
+while  cap.isOpened():
+		#  passing arg to above function
+		img_diff=imgdiff(gray1,gray2,gray3)
+		#  showing diff
+		cv2.imshow('diffimg',img_diff)
+		# capturing new frames
+		status,frame=cap.read()
+		gray1=gray2
+		gray2=gray3
+		gray3=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
+
+
+		if  cv2.waitKey(1) &  0xFF  ==  ord('q'):
+			break
+
+
+cv2.destroyAllWindows()
+cap.release()
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red_color_extract.py

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+#!/usr/bin/python
+
+import  cv2,time
+
+#  reading  image
+img=cv2.imread('redhat.jpg')
+
+# checking  shape
+print img.shape
+time.sleep(5)
+#  printing data
+print  img
+
+#  extracting only  red color 
+onlyred=cv2.inRange(img,(0,0,0),(40,40,255))
+cv2.imshow('original',img)
+cv2.imshow('onlyred',onlyred)
+
+cv2.waitKey(0)
+
+cv2.destroyAllWindows()
+