def get_bounding_rect( cap, win_cap, win, upper, lower):
msk = cv2.dilate(cv2.erode( cv2.inRange( cv2.blur( cv2.cvtColor( cap, cv2.COLOR_BGR2HSV ), (5,5) ), np.array(lower), np.array(upper) ), None, iterations=3), None, iterations=3)
im2, contours, hierarchy = cv2.findContours( msk, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE )
if len(contours) > 0:
areas = [cv2.contourArea(c) for c in contours] # get the area of each contour
max_index = np.argmax(areas) # get the index of the largest contour by area
cnts = contours[max_index] # get the largest contout by area
cv2.drawContours(msk, [cnts], 0, (0,255,0), 3) # Draw the contours to the mask image
x,y,w,h = cv2.boundingRect(cnts) # get the bouding box information about the contour
cv2.rectangle(win_cap,(x,y),(x+w,y+h),(255,255,255),2) # Draw rectangle on the image to represent the bounding box
cv2.imshow( "debug.", win_cap )
try:
self.smt_dash.putNumber('vis_x', x)
self.smt_dash.putNumber('vis_y', y)
self.smt_dash.putNumber('vis_w', w)
self.smt_dash.putNumber('vis_h', h)
except Exception:
pass
arch_light_track.py 文件源码
python
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