Pi3 & Odroid cam_benchmark

# USAGE
# python fps_demo.py
# python fps_demo.py --display 1

# import the necessary packages
from __future__ import print_function
from imutils.video import WebcamVideoStream
from imutils.video import FPS
import argparse
import imutils
import cv2
import pdb
import numpy as np

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-n", "--num-frames", type=int, default=100,
	help="# of frames to loop over for FPS test")
ap.add_argument("-d", "--display", type=int, default=-1,
	help="Whether or not frames should be displayed")
ap.add_argument("-s", "--save-frames", type=int, default=-1,
	help="# Whether or not to save image frames to ./images/")
ap.add_argument("-b", "--brightest-pixel", type=int, default=-1,
    help="# Whether or not to find location of brightest pixel")
args = vars(ap.parse_args())

# created a *threaded *video stream, allow the camera senor to warmup,
# and start the FPS counter
print("[INFO] sampling THREADED frames from webcam...")
vs = WebcamVideoStream(src=0).start()
fps = FPS().start()
i = 0      #Only for testing brightest_pixel logic
# loop over some frames...this time using the threaded stream
while fps._numFrames < args["num_frames"]:
	# grab the frame from the threaded video stream and resize it
	# to have a maximum width of 400 pixels
	frame = vs.read()
	frame = imutils.resize(frame, width=1280)

	# check to see if the frame should be displayed to our screen
	if args["display"] > 0:
		cv2.imshow("Frame", frame)
		key = cv2.waitKey(1) & 0xFF

	if args["save_frames"] > 0:
		cv2.imwrite(("./images/img"+ str(fps._numFrames)+".jpg"), frame)
                        
	if args["brightest_pixel"] > 0:			
		if i == 0:
			size = np.transpose(frame.shape) #Horizontal dimension array 
			decVal = 3	
			dec_frame = np.empty((size[0]//decVal, size[1])) #Just considering as a 2D matrix (not 3D)
			j = 0 #change to i
			ran = range(0, (size[0] -size[0]%decVal) -1, decVal)
			for r in ran:
				k = 0 #change to j
				for c in range (0, size[1]-1):
					dec_frame.itemset((j, k), frame[r, c, 0])
					k+=1
				j+=1
			print("Input frame size: " + str(frame.shape))		
			print("Decimated frame size using one of every "+ str(decVal) + " rows: " + str(dec_frame.shape))
			a = np.random.randint(20, size=(6,7))
			indices = np.where(a == a.max())
			row = indices[0]
			column = indices[1]
			out = [row[0], column[0]]
			print(a)
			print(out)
			i += 1
		                
        # update the FPS counter
	fps.update()

# stop the timer and display FPS information
fps.stop()
print("[INFO] elasped time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))

# do a bit of cleanup
cv2.destroyAllWindows()
vs.stop()