OpenCV locating centroid gives erros on PiCam - python-3.x

Question

I have a code which locates the centroid of an object placed in front of a camera. I ran the code on my Raspberry Pi where I am using a PiCam for the project, the cv2.moments() function's output object,has all values 0. The relevant part of the code is this:
import cv2
import numpy as np
from picamera import PiCamera
from picamera.array import PiRGBArray
camera = PiCamera()
camera.resolution = (640,480)
camera.framerate = 16
camera.rotation=180
rawCapture = PiRGBArray(camera, size=(640,480))
for f in camera.capture_continuous(rawCapture,format='bgr',use_video_port=True):
# ret, orig_frame = video.read()
orig_frame = f.array
hsv = cv2.cvtColor(orig_frame, cv2.COLOR_BGR2HSV)
low_red = np.array([100, 100, 100])
up_red = np.array([255, 255, 255])
mask = cv2.inRange(hsv, low_red, up_red)
edges = cv2.Canny(mask, 100, 200)
bit = cv2.bitwise_or(orig_frame, orig_frame, mask= mask)
contours, _ ,heirarchy= cv2.findContours(frame1, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
setpoint = 315
stop1 = 250
stop2 = 370
for c in contours:
M = cv2.moments(c)
print(M) #OUTPUT HAS ALL VALUES 0
# cX = int(M["m10"] / M["m00"])
# cY = int(M["m01"] / M["m00"])
The output of the print(M) statement is:
{'m20': 0.0, 'mu20': 0.0, 'nu30': 0.0, 'm03': 0.0, 'm10': 0.0, 'mu03': 0.0, 'nu02': 0.0, 'm11': 0.0, 'm21': 0.0, 'mu21': 0.0, 'mu02': 0.0, 'mu30': 0.0, 'm12': 0.0, 'm01': 0.0, 'm00': 0.0, 'nu20': 0.0, 'nu03': 0.0, 'nu21': 0.0, 'nu11': 0.0, 'm02': 0.0, 'nu12': 0.0, 'mu11': 0.0, 'mu12': 0.0, 'm30': 0.0}
As you can see, all values are 0
However, if I run the same code on my laptop which uses its webcam, the code runs error free and the output of the print(M) statement is an object with non-zero values.
This is the code on my local machine:
import cv2
import numpy as np
video = cv2.VideoCapture(0)
def make_custom(x, y):
video.set(3, x)
video.set(4, y)
make_custom(800, 800)
while True:
ret, orig_frame = video.read()
#frame = cv2.GaussianBlur(orig_frame, (5, 5), 0)
hsv = cv2.cvtColor(orig_frame, cv2.COLOR_BGR2HSV)
low_red = np.array([100, 100, 100])
up_red = np.array([255, 255, 255])
mask = cv2.inRange(hsv, low_red, up_red)
frame1 = cv2.GaussianBlur(mask, (5, 5), 1)
edges = cv2.Canny(mask, 100, 200)
bit = cv2.bitwise_or(orig_frame, orig_frame, mask= mask)
contours, _ = cv2.findContours(frame1, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
for c in contours:
# calculate moments for each contour
M = cv2.moments(c)
print(M)
I am using Python 3.6 on both the machines
What am I doing wrong, and how do I correct it?