我正在尝试使用 OpenCV 库创建面部和眼睛检测。这是我一直在使用的代码。它运行顺利,没有错误,但唯一的问题是没有显示任何结果,使用此代码找不到面孔和眼睛
import cv2
import sys
import numpy as np
import os
# Get user supplied values
imagePath = sys.argv[1]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier('C:\Users\Karthik\Downloads\Programs\opencv\sources\data\haarcascades\haarcascad_frontalface_default.xml')
eyeCascade= cv2.CascadeClassifier('C:\Users\Karthik\Downloads\Programs\opencv\sources\data\haarcascades\haarcascade_eye.xml')
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Detect faces in the image
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.2,
minNeighbors=5,
minSize=(30, 30),
flags = cv2.cv.CV_HAAR_SCALE_IMAGE
)
print "Found {0} faces!".format(len(faces))
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = image[y:y+h, x:x+w]
eyes = eyeCascade.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("Faces found", image)
print image.shape
cv2.waitKey(0)
对我来说,它可以在我的 Ubuntu 15.10 上的 jupyter 笔记本上使用 OpenCV 3.1.0-dev 和 python 3.4
难道你有一个简单的错字吗?
haarcascad_frontalface_default.xml
=> haarcascade_frontalface_default.xml
这里:
eyes = eyeCascade.detectMultiscale(roi_gray)
=> eyeCascade.detectMultiScale(roi_gray)
这是我的工作代码:
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import cv2
import sys
import numpy as np
import os
# Create the haar cascade
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eyeCascade= cv2.CascadeClassifier('haarcascade_eye.xml')
# Read the image
image = cv2.imread('lena.png', 0)
if image is None:
raise ValueError('Image not found')
# Detect faces in the image
faces = faceCascade.detectMultiScale(image)
print('Found {} faces!'.format(len(faces)))
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x+w, y+h), 255, 2)
roi = image[y:y+h, x:x+w]
eyes = eyeCascade.detectMultiScale(roi)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi,(ex,ey),(ex+ew,ey+eh), 255, 2)
plt.figure()
plt.imshow(image, cmap='gray')
plt.show()
I am facing some issue if you guyz can help me out with this im trying to achieve the same but having some error:
Code:
pip install opencv-python
import numpy as np
import cv2
import matplotlib
from matplotlib import pyplot as plt
%matplotlib inline
img = cv2.imread('./test_images/sharapova1.jpg')
img.shape
from IPython.display import Image
Image(filename='./test_images/sharapova1.jpg')
plt.imshow(img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray.shape
gray
plt.imshow(gray, cmap='gray')
face_cascade = cv2.CascadeClassifier('C:/Users/dipes/SportsPersonClassifier/model/opencv/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('C:/Users/dipes/SportsPersonClassifier/model/opencv/haarcascades/haarcascade_eye.xml')
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
faces
(x,y,w,h) = faces[0]
x,y,w,h
face_img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
plt.imshow(face_img)
cv2.destroyAllWindows()
for (x,y,w,h) in faces:
face_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 = face_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)
plt.figure()
plt.imshow(face_img, cmap='gray')
plt.show()
After this code chunk error:
error Traceback (most recent call last)
<ipython-input-25-0838b463c64c> in <module>
4 roi_gray = gray[y:y+h, x:x+w]
5 roi_color = face_img[y:y+h, x:x+w]
----> 6 eyes = eye_cascade.detectMultiScale(roi_gray)
7 for (ex,ey,ew,eh) in eyes:
8 cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
error: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'