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前景目标提取.py

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+import cv2
+import numpy as np
+
+src = cv2.imread("demo2.jpg")
+r = cv2.selectROI('input', src, False)  # 返回 (x_min, y_min, w, h)
+# roi区域
+roi = src[int(r[1]):int(r[1]+r[3]), int(r[0]):int(r[0]+r[2])]
+# 原图mask
+mask = np.zeros(src.shape[:2], dtype=np.uint8)
+# 矩形roi
+rect = (int(r[0]), int(r[1]), int(r[2]), int(r[3])) # 包括前景的矩形，格式为(x,y,w,h)
+
+bgdmodel = np.zeros((1,65),np.float64) # bg模型的临时数组
+fgdmodel = np.zeros((1,65),np.float64) # fg模型的临时数组
+
+cv2.grabCut(src,mask,rect,bgdmodel,fgdmodel, 11, mode=cv2.GC_INIT_WITH_RECT)
+
+# 提取前景和可能的前景区域
+mask2 = np.where((mask==1) + (mask==3), 255, 0).astype('uint8')
+
+print(mask2.shape)
+
+result = cv2.bitwise_and(src,src,mask=mask2)
+cv2.imwrite('result.jpg', result)
+cv2.imwrite('roi.jpg', roi)
+
+cv2.imshow('roi', roi)
+cv2.imshow("result", result)
+cv2.waitKey(0)
+cv2.destroyAllWindows()