在运行pixel_number_row = []
while True:
ret, frame = cap.read()
if ret == True :
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
y , x = hsv.shape[:2] #x = 320 , y = 240
# Define 'brown' range in HSV colorspace
lower = np.array([10, 100, 20])
upper = np.array([20, 255, 200])
# Threshold the HSV image to get only brown color
mask1 = cv2.inRange(hsv, lower, upper)
kernel = np.ones((5,5),np.uint8)
thresh = cv2.dilate(mask1,kernel,iterations = 2)
# find contours in thresholded image, then grab the largest
# one
cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
c = max(cnts, key=cv2.contourArea)
# determine the most extreme points along the contour
extLeft = tuple(c[c[:, :, 0].argmin()][0])
extRight = tuple(c[c[:, :, 0].argmax()][0])
extTop = tuple(c[c[:, :, 1].argmin()][0])
extBot = tuple(c[c[:, :, 1].argmax()][0])
cv2.drawContours(thresh, [c], -1, (0, 255, 255), 2)
cv2.circle(thresh, extLeft , 8, (0, 0, 255) , -1)
cv2.circle(thresh, extRight, 8, (0, 255, 0) , -1)
cv2.circle(thresh, extTop , 8, (255, 0, 0) , -1)
cv2.circle(thresh, extBot , 8, (255, 255, 0), -1)
x_center = (extLeft[0] + extRight[0] + extTop[0] + extBot[0])/4
y_center = (extLeft[1] + extRight[1] + extTop[1] + extBot[1])/4
cv2.circle(frame,(x_center, y_center), 3, (0,255,0), -1)
cv2.line(frame,(extLeft[0] ,0),(extLeft[0],y) ,(0,255,0),2) # y axis - binary
cv2.line(frame,(extRight[0],0),(extRight[0],y),(0,255,0),2) # y axis - binary
cv2.line(frame,(0,extTop[1]) ,(x,extTop[1]) ,(0,255,0),2) # x axis - binary
cv2.line(frame,(0,extBot[1]) ,(x,extBot[1]) ,(0,255,0),2) # x axis - binary
pixel_number_row.append(x_center)
plt.plot(pixel_number_row - pixel_number_row[0]) # plotting by columns
plt.xlabel('frame number')
plt.ylabel('x axis moving')
# fig.canvas.draw()
plt.pause(0.001)
if (cnt % 60 == 0):
pixel_number_row = []
plt.clf()
cnt += 1
# show the output image
# cv2.imshow("mask" , thresh)
cv2.imshow("Image", frame)
k = cv2.waitKey(1)
if k == 27:
break
print(end - start)
plt.show()
cv2.destroyAllWindows()
时，我使用ng update遇到错误，升级了我的项目
加载器“ ... \ ClientApp \ src \ app \ nav-menu \ nav-menu.component.scss”中的错误未返回字符串。
以下是我的package.json依赖项：
ng build --prod答案 0 :(得分：1)
此问题与“原始加载程序”：“ 2.0.0”有关，请尝试将原始加载程序的版本降级为“ 1.0.0”