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DetectObjectColor.py
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executable file
·64 lines (50 loc) · 2.1 KB
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"""
Program to detect coloured objects using OpenCV
"""
import cv2 # pylint: disable=import-error
import numpy as np # pylint: disable=import-error
def get_thresholded_img(hsv):
"""
Get thresholded image
"""
thresh_img = cv2.inRange(hsv,np.array((cv2.getTrackbarPos('Hue_Low','Trackbars'),cv2.getTrackbarPos('Saturation_Low','Trackbars'),cv2.getTrackbarPos('Value_Low','Trackbars'))),np.array((cv2.getTrackbarPos('Hue_High','Trackbars'),cv2.getTrackbarPos('Saturation_High','Trackbars'),cv2.getTrackbarPos('Value_High','Trackbars'))))
return thresh_img
def get_track_value(value):
"""
return trackbar value
"""
return value
c = cv2.VideoCapture(0)
width,height = c.get(3),c.get(4)
print("frame width and height : ", width, height)
cv2.namedWindow('Output')
cv2.namedWindow('Trackbars', cv2.WINDOW_NORMAL)
cv2.createTrackbar('Hue_Low','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Hue_High','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Saturation_Low','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Saturation_High','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Value_Low','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Value_High','Trackbars',0,255, get_track_value)
cv2.createTrackbar('Caliberate','Trackbars',0,1, get_track_value)
while 1:
_,f = c.read()
f = cv2.flip(f,1)
blur = cv2.medianBlur(f,5)
hsv = cv2.cvtColor(f,cv2.COLOR_BGR2HSV)
thrImg = get_thresholded_img(hsv)
erode = cv2.erode(thrImg,None,iterations = 3)
dilate = cv2.dilate(erode,None,iterations = 10)
contours,hierarchy = cv2.findContours(dilate,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
for cnt in contours:
x,y,w,h = cv2.boundingRect(cnt)
cx,cy = x+w/2, y+h/2
cv2.rectangle(f,(x,y),(x+w,y+h),[0,0,255],2)
if cv2.getTrackbarPos('Caliberate','Trackbars') == 1:
cv2.imshow('Output',thrImg)
else:
cv2.imshow('Output',f)
#cv2.waitKey(50)
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
c.release()