[使用opencv 4.1.2在Pycharm(python 3.6)上尝试标准人脸检测算法,但反复出现此错误:
faces = face_cascade.detectMultiScale(gray,1.3,5)cv2.error:OpenCV(4.1.2)/io/opencv/modules/objdetect/src/cascadedetect.cpp:1689:错误:(-215:断言失败)函数'detectMultiScale empty()
CODE:
import cv2 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') img = cv2.imread('face.jpeg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (x,y,w,h) in faces: img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) roi_gray = gray[y:y+h, x:x+w] roi_color = img[y:y+h, x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) cv2.imshow('img',img) cv2.waitKey(0) cv2.destroyAllWindows()
也尝试提供.xml文件的完整位置,该错误仍然存在。尝试过:
import cv2 face_cascade = cv2.CascadeClassifier('home/PycharmProjects/helloworld/venv/lib/python3.6/site-packages/cv2/data/haarcascade_frontalface_default.xml') test=face_cascade.load('home/PycharmProjects/helloworld/venv/lib/python3.6/site-packages/cv2/data/haarcascade_frontalface_default.xml') print(test) print(face_cascade)
返回:FALSE
[使用opencv 4.1.2在Pycharm(python 3.6)上尝试标准人脸检测算法,但反复出现此错误:faces = face_cascade.detectMultiScale(gray,1.3,5)cv2.error:OpenCV(4.1.2)/ io / ...
提供xml的绝对路径。例如: