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import numpy as np | |
import cv2 | |
import os | |
import sys | |
import time | |
import picamera | |
import picamera.array | |
import argparse | |
def objectFound(): | |
print("Found") | |
def filter(image): | |
lower_range = np.array([101,200,0]) | |
upper_range = np.array([109,255,255]) | |
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) | |
mask = cv2.GaussianBlur(hsv, (11, 11), 0) | |
mask = cv2.inRange(mask, lower_range, upper_range) | |
res = cv2.bitwise_and(hsv, hsv, mask=mask) | |
res = cv2.cvtColor(cv2.cvtColor(res, cv2.COLOR_HSV2BGR), cv2.COLOR_BGR2GRAY) | |
res = cv2.erode(res, None, iterations=3) | |
res = cv2.dilate(res, None, iterations=4) | |
newImage = image | |
_ , contours, _ = cv2.findContours(res, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
cv2.drawContours(newImage, contours, -1, (255, 255, 0), 1) | |
for cnt in contours: | |
M = cv2.moments(cnt) | |
(x,y),radius = cv2.minEnclosingCircle(cnt) | |
if(radius > 10): | |
center = (int(x),int(y)) | |
radius = int(radius) | |
cv2.circle(newImage,center,radius,(0,255,0),2) | |
objectFound() | |
return newImage | |
with picamera.PiCamera() as camera: | |
with picamera.array.PiRGBArray(camera) as output: | |
camera.resolution = (640, 480) | |
camera.framerate = 30 | |
while(1): | |
camera.capture(output, 'bgr') | |
try: | |
img = output.array | |
output.truncate(0) | |
cv2.imshow('img',filter(img)) | |
if 0xFF & cv2.waitKey(5) == 27: | |
break | |
except KeyboardInterrupt: | |
pass | |
print ('KB interrupted') | |
print ('Process Aborted!') | |
break | |
except Exception as e: | |
exc_type, exc_obj, tb = sys.exc_info() | |
lineno = tb.tb_lineno | |
print ('Error : ' + str(e) + " @ line " + str(lineno)) | |
finally: | |
pass |
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