opencv-python通过鼠标选取ROI区域并保存
【代码】opencv-python通过鼠标选取ROI区域并保存。
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import cv2
import numpy as np
import joblib
pts = [] # 用于存放点
# 统一的:mouse callback function
def draw_roi(event, x, y, flags, param):
img2 = img.copy()
if event == cv2.EVENT_LBUTTONDOWN: # 左键点击,选择点
pts.append((x, y))
if event == cv2.EVENT_RBUTTONDOWN: # 右键点击,取消最近一次选择的点
pts.pop()
if event == cv2.EVENT_MBUTTONDOWN: # 中键绘制轮廓
mask = np.zeros(img.shape, np.uint8)
points = np.array(pts, np.int32)
points = points.reshape((-1, 1, 2))
# 画多边形
mask = cv2.polylines(mask, [points], True, (255, 255, 255), 2)
mask2 = cv2.fillPoly(mask.copy(), [points], (255, 255, 255)) # 用于求 ROI
mask3 = cv2.fillPoly(mask.copy(), [points], (0, 255, 0)) # 用于 显示在桌面的图像
show_image = cv2.addWeighted(src1=img, alpha=0.8, src2=mask3, beta=0.2, gamma=0)
cv2.imshow("mask", mask2)
cv2.imshow("show_img", show_image)
ROI = cv2.bitwise_and(mask2, img)
cv2.imshow("ROI", ROI)
cv2.waitKey(0)
if len(pts) > 0:
# 将pts中的最后一点画出来
cv2.circle(img2, pts[-1], 3, (0, 0, 255), -1)
if len(pts) > 1:
# 画线
for i in range(len(pts) - 1):
cv2.circle(img2, pts[i], 5, (0, 0, 255), -1) # x ,y 为鼠标点击地方的坐标
cv2.line(img=img2, pt1=pts[i], pt2=pts[i + 1], color=(255, 0, 0), thickness=2)
cv2.imshow('image', img2)
# 创建图像与窗口并将窗口与回调函数绑定
img=r'4.jpg'
img = cv2.imread(img)
cv2.namedWindow('image')
cv2.setMouseCallback('image', draw_roi)
print("[INFO] 单击左键:选择点,单击右键:删除上一次选择的点,单击中键:确定ROI区域")
print("[INFO] 按‘S’确定选择区域并保存")
print("[INFO] 按 ESC 退出")
while True:
key = cv2.waitKey(1) & 0xFF
if key == 27:
break
if key == ord("s"):
saved_data = {"ROI": pts}
joblib.dump(value=saved_data, filename="config.pkl")
print("[INFO] ROI坐标已保存到本地.")
break
cv2.destroyAllWindows()
def Load_Model(filepath):
#img = cv2.imread(img)
model = joblib.load(filepath)
print(type(model))
print(model)
return model
roi=Load_Model('config.pkl')['ROI']
for i,j in zip(roi,range(len(roi))):
M = cv2.moments(i)# 求矩
print('图形矩特征是:',M)
try:
cX=int(M['m10']/M['m00'])#求X
cY=int(M['m01']/M['m00'])#求Y
print('cX,cY的值:',cX,cY)
except ZeroDivisionError as ex_results:
pass
else :
print(str(j), (cX, cY))
cv2.putText(img, str(j), (cX, cY), cv2.FONT_HERSHEY_DUPLEX,1, (0, 255, 255), 1)
#cv2.putText(img, 'good', (200, 200), cv2.FONT_HERSHEY_DUPLEX,1, (0, 255, 255), 1)
cv2.imwrite('out.png', img)
cv2.imshow("img", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
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