#
# FOREGROUND EXTRACTION
#
#
startTimeForeGroundExtraction = time.time()
# Readying the frames
previousFrameGray, currFrameGray, nextFrameGray = readyFrame(
previousFrame, currFrame, nextFrame)
# Performing frame differencing
threshFrameDifferencing = frameDifferencing(
previousFrameGray, currFrameGray, nextFrameGray)
# Performing morphological operations
final_image = morphologicalOperations(threshFrameDifferencing, 4, 4)
# final_image = cv2.medianBlur(final_image,7)
endTimeForegroundExtraction = time.time()
print("Foreground Extraction--- %s seconds ---" %
(endTimeForegroundExtraction - startTimeForeGroundExtraction))
#
#
# BALL DETECTION
#
#
startTimeBallDetection = time.time()
# Making a copy of pre-processed image frame
#
# FOREGROUND EXTRACTION
#
#
startTimeForeGroundExtraction = time.time()
# Readying the frames
previousFrameGray, currFrameGray, nextFrameGray = readyFrame(
previousFrame, currFrame, nextFrame)
# Performing frame differencing
threshFrameDifferencing = frameDifferencing(
previousFrameGray, currFrameGray, nextFrameGray)
# Performing morphological operations
img_erosion = morphologicalOperations(threshFrameDifferencing, 4, 4)
startTimeBlurringBinary = time.time()
# Blurring the binary image to get smooth shapes of objects
final_image = cv2.medianBlur(img_erosion, 7)
endTimeBlurringBinary = time.time()
print("Final Blur--- %s seconds ---" %
(endTimeBlurringBinary - startTimeBlurringBinary))
endTimeForegroundExtraction=time.time()
print("Foreground Extraction--- %s seconds ---" % (endTimeForegroundExtraction - startTimeForeGroundExtraction))
#
#
# BALL DETECTION
#