我在收到错误消息时遇到问题
成功,img = cv2.imread('stop.jpg',0)ValueError:太多值无法解包(预期2)
我正在使用以下脚本:
def getContours(img, imgContour): contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2:] for cnt in contours: area = cv2.contourArea(cnt) if area > 1000: cv2.drawContours(imgContour, contours, -1, (255, 0, 255), 7) peri = cv2.arcLength(cnt, True) approx = cv2.approxPolyDP(cnt, 0.02 * peri, True) # print(len(approx)) x, y, w, h = cv2.boundingRect(approx) cv2.rectangle(imgContour, (x, y), (x + w, y + h), (0, 255, 0), 5) cv2.putText(imgContour, "Point: " + str(len(approx)), (x + w + 20, y + 20), cv2.FONT_HERSHEY_COMPLEX, .7, (0, 255, 0), 2) cv2.putText(imgContour, "Area: " + str(int(area)), (x + w + 20, y + 45), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), 2) success, img = cv2.imread('stop.jpg', 0) imgContour = img.copy() imgBlur = cv2.GaussianBlur(img, (7, 7), 1) imgGray = cv2.cvtColor(imgBlur, cv2.COLOR_BGR2GRAY) threshold1 = cv2.getTrackbarPos("Threshold1", "Parameter") threshold2 = cv2.getTrackbarPos("Threshold2", "Parameter") imgCanny = cv2.Canny(imgGray, threshold1, threshold2) kernel = np.ones((5, 5)) imgDil = cv2.dilate(imgCanny, kernel, iterations=1) getContours(imgDil, imgContour)
我该如何解决?
我遇到一个错误消息成功的问题,img = cv2.imread('stop.jpg',0)ValueError:太多的值无法解包(预期2)我正在使用以下脚本:def .. 。
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仅返回一件事,因此将行更改为