之前几篇文章有讲过,故不做过多介绍:
OpenCV快速入门四:TrackBar控件(滑动条)
OpenCV快速入门五:色彩空间转换
阈值大小确定:
import cv2
import numpy as np
def mcallback(x):
pass
cv2.namedWindow("Tracking")
#绿色的HSV:可能不是很准
#l_g = np.array([35, 43, 46]) # 下限
#u_g = np.array([77,255,255]) # 上限
cv2.createTrackbar("LH", "Tracking", 0, 255, mcallback)
cv2.createTrackbar("LS", "Tracking", 0, 255, mcallback)
cv2.createTrackbar("LV", "Tracking", 147, 255, mcallback)
cv2.createTrackbar("UH", "Tracking", 100, 255, mcallback)
cv2.createTrackbar("US", "Tracking", 45, 255, mcallback)
cv2.createTrackbar("UV", "Tracking", 255, 255, mcallback)
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
# img = cv2.imread(r"C:\Users\DMr\Pictures\text\book.jpg")
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
l_h = cv2.getTrackbarPos("LH", "Tracking")
l_s = cv2.getTrackbarPos("LS", "Tracking")
l_v = cv2.getTrackbarPos("LV", "Tracking")
u_h = cv2.getTrackbarPos("UH", "Tracking")
u_s = cv2.getTrackbarPos("US", "Tracking")
u_v = cv2.getTrackbarPos("UV", "Tracking")
l_g = np.array([l_h, l_s, l_v])
u_g = np.array([u_h, u_s, u_v])
mask = cv2.inRange(hsv, l_g, u_g)
res = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow("img", frame)
cv2.imshow("mask", mask)
cv2.imshow("res", res)
key = cv2.waitKey(10)
if(key & 0xff == ord('q')):
break
cv2.destroyAllWindows()
颜色跟踪:
import numpy as np
import cv2
font = cv2.FONT_HERSHEY_SIMPLEX
lower_green = np.array([40, 56, 108]) # 绿色低阈值
upper_green = np.array([85, 156, 235]) # 绿色高阈值
lower_red = np.array([7, 132, 154]) # ju色低阈值
upper_red = np.array([17, 226, 245]) # ju色高阈值
lower_blue = np.array([85, 68, 71]) # 蓝色低阈值
upper_blue = np.array([141, 186, 255]) # 蓝色高阈值
lower_yellow = np.array([12, 59, 168]) # 黄色低阈值
upper_yellow = np.array([35, 141, 255]) # 黄色高阈值
lower_white = np.array([75, 0, 158]) # bai色低阈值
upper_white = np.array([118, 64, 247]) # 白色高阈值
cap = cv2.VideoCapture(0) # 打开USB摄像头
if (cap.isOpened()): # 视频打开成功
flag = 1
else:
flag = 0
num = 0
if (flag):
while (True):
ret, frame = cap.read()
if ret == False:
break
hsv_img = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
mask_green = cv2.inRange(hsv_img, lower_green, upper_green) # 根据颜色范围删选
mask_red = cv2.inRange(hsv_img, lower_red, upper_red)
mask_blue = cv2.inRange(hsv_img, lower_blue, upper_blue)
mask_yellow = cv2.inRange(hsv_img, lower_yellow, upper_yellow)
mask_white = cv2.inRange(hsv_img, lower_white, upper_white)
mask_green = cv2.medianBlur(mask_green, 7) # 中值滤波
mask_red = cv2.medianBlur(mask_red, 7)
mask_blue = cv2.medianBlur(mask_blue, 7)
mask_yellow = cv2.medianBlur(mask_yellow, 7)
mask_white = cv2.medianBlur(mask_white, 7)
mask = cv2.bitwise_or(mask_green, mask_red, mask_blue, mask_yellow) # 检测轮廓
mask_green, contours, hierarchy = cv2.findContours(mask_green, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours = sorted(contours, key=cv2.contourArea, reverse=True)[:2] # 取面积最大的2个
mask_red, contours2, hierarchy2 = cv2.findContours(mask_red, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours2= sorted(contours2, key=cv2.contourArea, reverse=True)[:1]
mask_blue, contours3, hierarchy3 = cv2.findContours(mask_blue, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours3 = sorted(contours3, key=cv2.contourArea, reverse=True)[:2]
mask_yellow, contours4, hierarchy4 = cv2.findContours(mask_yellow, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
#contours4 = sorted(contours4, key=cv2.contourArea, reverse=True)[:1]
mask_white, contours5, hierarchy5 = cv2.findContours(mask_white, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours5 = sorted(contours5, key=cv2.contourArea, reverse=True)[:1]
for cnt in contours:
(x, y, w, h) = cv2.boundingRect(cnt)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.putText(frame, "Green", (x, y - 5), font, 0.7, (0, 255, 0), 2)
for cnt2 in contours2:
(x2, y2, w2, h2) = cv2.boundingRect(cnt2)
cv2.rectangle(frame, (x2, y2), (x2 + w2, y2 + h2), (0, 115, 255), 2)
cv2.putText(frame, "Orange", (x2, y2 - 5), font, 0.7, (0, 115, 255), 2)
for cnt3 in contours3:
(x3, y3, w3, h3) = cv2.boundingRect(cnt3)
cv2.rectangle(frame, (x3, y3), (x3 + w3, y3 + h3), (255, 0, 0), 2)
cv2.putText(frame, "Blue", (x3, y3 - 5), font, 0.7, (255, 0, 0), 2)
for cnt4 in contours4:
(x4, y4, w4, h4) = cv2.boundingRect(cnt4)
cv2.rectangle(frame, (x4, y4), (x4 + w4, y4 + h4), (0, 255, 255), 2)
cv2.putText(frame, "Yellow", (x4, y4 - 5), font, 0.7, (0, 255, 255), 2)
for cnt5 in contours5:
(x5, y5, w5, h5) = cv2.boundingRect(cnt5)
cv2.rectangle(frame, (x5, y5), (x5 + w5, y5 + h5), (255, 255, 255), 2)
cv2.putText(frame, "White", (x5, y5 - 5), font, 0.7, (255, 255, 255), 2)
cv2.imshow("color_det", frame)
if cv2.waitKey(20) & 0xFF == ord("q"):
break
cv2.waitKey(0)
cv2.destroyAllWindows()
每日“大饼”
只要你想赢 就没人能让你输