# import the necessary packages
# from ..convenience import is_cv3
import cv2

def count_frames(path, override=False):
	# grab a pointer to the video file and initialize the total
	# number of frames read
	video = cv2.VideoCapture(path)
	total = 0

	# if the override flag is passed in, revert to the manual
	# method of counting frames
	if override:
		total = count_frames_manual(video)

	# otherwise, let's try the fast way first
	else:
		# lets try to determine the number of frames in a video
		# via video properties; this method can be very buggy
		# and might throw an error based on your OpenCV version
		# or may fail entirely based on your which video codecs
		# you have installed
		try:
			# # check if we are using OpenCV 3
			# if is_cv3():
			# 	total = int(video.get(cv2.CAP_PROP_FRAME_COUNT))

			# # otherwise, we are using OpenCV 2.4
			# else:
			# 	total = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))

			total = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))

		# uh-oh, we got an error -- revert to counting manually
		except:
			total = count_frames_manual(video)

	# release the video file pointer
	video.release()

	# return the total number of frames in the video
	return total

def count_frames_manual(video):
	# initialize the total number of frames read
	total = 0

	# loop over the frames of the video
	while True:
		# grab the current frame
		(grabbed, frame) = video.read()
	 
		# check to see if we have reached the end of the
		# video
		if not grabbed:
			break

		# increment the total number of frames read
		total += 1

	# return the total number of frames in the video file
	return total