上代碼：

#coding=utf-8import cv2import dlibpath = 'imagePath/9.jpg'img = cv2.imread(path)gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)#人臉分類器detector = dlib.get_frontal_face_detector()# 獲取人臉檢測器predictor = dlib.shape_predictor( 'shape_predictor_68_face_landmarks.dat')color = (0, 255, 0) # 定義繪制顏色dets = detector(gray, 1)for face in dets: shape = predictor(img, face) # 尋找人臉的68個標定點 chang=[] kuan= [] # 遍歷所有點，打印出其坐標，并圈出來 for pt in shape.parts(): pt_pos = (pt.x, pt.y) chang.append(pt.x) kuan.append(pt.y) #cv2.circle(img, pt_pos, 1, (0, 255, 0), 1) x1 = max(chang) x2 = min(chang) y1 = max(kuan) y2 = min(kuan) cv2.rectangle(img, (x2, y2), (x1, y1), color, 1) cropped = img[y2 + 1:y1, x2 + 1:x1] # 裁剪坐標為[y0:y1, x0:x1] cv2.imshow('image', cropped) k = cv2.waitKey(0) if k == ord('s'): cv2.imwrite('imagePath/9-7.png', cropped)cv2.destroyAllWindows()

識別效果：

以上就是Python用dilb提取照片上人臉的示例的詳細內容，更多關于python 提取人臉的資料請關注好吧啦網其它相關文章！