error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'

Question

I'm trying this sample face detection program using opencv in python.But there seems to be an error in the detectMultiscale function.The code is:

import cv2
import sys

imagePath = sys.argv[1]
cascPath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
image = cv2.imread('face.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

 faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30)

)

print("Found {0} faces!".format(len(faces)))


for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow("Faces found", image)
cv2.waitKey(0)

This is the code.The file name being main.py.I placed all of the resources under Myproject file.When i tried running it from prompt i got this error.

C:\Myproject>python main.py face.jpg
Traceback (most recent call last):
  File "main.py", line 21, in <module>
    minSize=(30, 30)
cv2.error: OpenCV(4.1.1) C:\projects\opencv-python\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'

Thanks for reading and help me solve this problem.

Make sure all your paths exist `cv2.imread('face.jpg')`, `cv2.CascadeClassifier(cascPath)` and that `"haarcascade_frontalface_default.xml"` is correct. — tgikal, Sep 09 '19 at 13:32
OK, took forever to find, but they screwed with some file associations https://stackoverflow.com/a/54274104/4777984 so `faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + cascPath)` — tgikal, Sep 09 '19 at 14:05
@tgikal problem resolved now, i deleted and rearranged xml file in my source folder.it worked — Fiestyhokage, Sep 09 '19 at 14:25

score 1 · Answer 1 · answered Sep 09 '19 at 14:19

1

Your path to face.jpg is wrong (check if it is in same folder). Also, the path to faceCascade is imagePath+cascPath

answered Sep 09 '19 at 14:19

user12042125

11
1

its correct and i got it , thanks for your concern tho – Fiestyhokage Sep 09 '19 at 14:20

score 1 · Answer 2 · answered May 15 '20 at 16:22

use this,

import cv2

faceCascade=cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
img=cv2.imread('image\\my1.jpg')
imgGray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(imgGray,1.1,4)
for (x,y,w,h) in faces:
    cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
cv2.imshow("image",img)
cv2.waitKey(0)

it will help you for proper face detection

error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'

2 Answers2