構文エラー：このコードを実行するときにブレークが...私は<code>'break is not inside the loop"</code>を示す第114行でエラーが発生しましループ内

Question

# import the necessary packages 
import numpy as np 
import argparse 
import cv2 

# initialize the current frame of the video, along with the list of 
# ROI points along with whether or not this is input mode 
frame = None 
roiPts = [] 
inputMode = False 
def selectROI(event, x, y, flags, param): 
    # grab the reference to the current frame, list of ROI 
    # points and whether or not it is ROI selection mode 
    global frame, roiPts, inputMode 

    # if we are in ROI selection mode, the mouse was clicked, 
    # and we do not already have four points, then update the 
    # list of ROI points with the (x, y) location of the click 
    # and draw the circle 
    if inputMode and event == cv2.EVENT_LBUTTONDOWN and len(roiPts) < 4: 
     roiPts.append((x, y)) 
     cv2.circle(frame, (x, y), 4, (0, 255, 0), 2) 
     cv2.imshow("frame", frame) 
def main(): 
    # construct the argument parse and parse the arguments 
    ap = argparse.ArgumentParser() 
    ap.add_argument("-v", "--video", 
     help = "path to the (optional) video file") 
    args = vars(ap.parse_args()) 

    # grab the reference to the current frame, list of ROI 
    # points and whether or not it is ROI selection mode 
    global frame, roiPts, inputMode 

    # if the video path was not supplied, grab the reference to the 
    # camera 
    if not args.get("video", False): 
     camera = cv2.VideoCapture(0) 

    # otherwise, load the video 
    else: 
     camera = cv2.VideoCapture(args["video"]) 

    # setup the mouse callback 
    cv2.namedWindow("frame") 
    cv2.setMouseCallback("frame", selectROI) 

    # initialize the termination criteria for cam shift, indicating 
    # a maximum of ten iterations or movement by a least one pixel 
    # along with the bounding box of the ROI 
    termination = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1) 
    roiBox = None 
# keep looping over the frames 
while True: 
    # grab the current frame 
    (grabbed, frame) = camera.read() 

    # check to see if we have reached the end of the 
    # video 
    if not grabbed: 
     break 

    # if the see if the ROI has been computed 
    if roiBox is not None: 
     # convert the current frame to the HSV color space 
     # and perform mean shift 
     hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) 
     backProj = cv2.calcBackProject([hsv], [0], roiHist, [0, 180], 1) 

     # apply cam shift to the back projection, convert the 
     # points to a bounding box, and then draw them 
     (r, roiBox) = cv2.CamShift(backProj, roiBox, termination) 
     pts = np.int0(cv2.cv.BoxPoints(r)) 
     cv2.polylines(frame, [pts], True, (0, 255, 0), 2) 
# show the frame and record if the user presses a key 
cv2.imshow("frame", frame) 
key = cv2.waitKey(1) & 0xFF 

# handle if the 'i' key is pressed, then go into ROI 
# selection mode 
if key == ord("i") and len(roiPts) < 4: 
    # indicate that we are in input mode and clone the 
    # frame 
    inputMode = True 
    orig = frame.copy() 

    # keep looping until 4 reference ROI points have 
    # been selected; press any key to exit ROI selction 
    # mode once 4 points have been selected 
    while len(roiPts) < 4: 
     cv2.imshow("frame", frame) 
     cv2.waitKey(0) 

    # determine the top-left and bottom-right points 
    roiPts = np.array(roiPts) 
    s = roiPts.sum(axis = 1) 
    tl = roiPts[np.argmin(s)] 
    br = roiPts[np.argmax(s)] 

    # grab the ROI for the bounding box and convert it 
    # to the HSV color space 
    roi = orig[tl[1]:br[1], tl[0]:br[0]] 
    roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV) 
    #roi = cv2.cvtColor(roi, cv2.COLOR_BGR2LAB) 

    # compute a HSV histogram for the ROI and store the 
    # bounding box 
    roiHist = cv2.calcHist([roi], [0], None, [16], [0, 180]) 
    roiHist = cv2.normalize(roiHist, roiHist, 0, 255, cv2.NORM_MINMAX) 
    roiBox = (tl[0], tl[1], br[0], br[1]) 

# if the 'q' key is pressed, stop the loop 
elif key == ord("q"): 
    break 
# cleanup the camera and close any open windows 
camera.release() 
cv2.destroyAllWindows() 

if __name__ == "__main__": 
    main() 

ではありません誰もがこのエラーを解決するために私を助けることができます。

Answer 1

ループの外であれば全体が... は単に