Python人脸检测在终端中不起作用

Question

我正在尝试使用opencv制作一个人脸检测python程序，但是当我运行以下shell命令时，我得到以下错误：

键入时：python main2.py abba.png haarcascade_frontalface_default.xml

我正在使用opencv，并使用了以下文档Realpython face Recognition：

(venv) C:\Users\User\PycharmProjects\main_1>python face_detect.py abba.png haarcascade_frontalface_default.xml
C:\Users\User\AppData\Local\Programs\Python\Python39\python.exe: can't open file 'C:\Users\User\PycharmProjects\main_1\face_detect.py': [Errno 2] No such file or directory

(venv) C:\Users\User\PycharmProjects\main_1>python main2.py abba.png haarcascade_frontalface_default.xml
Traceback (most recent call last):
  File "C:\Users\User\PycharmProjects\main_1\main2.py", line 13, in <module>
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-95hbg2jt\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src
.empty() in function 'cv::cvtColor'

以下是我使用的代码：

import sys
import cv2

# Get user supplied values
imagePath = sys.argv[1]
cascPath = sys.argv[2]

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    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), (0, 255, 0), 2)

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

Answer 1

此错误表示找不到正确的图像文件：

C:\Users\User\AppData\Local\Programs\Python\Python39\python.exe: can't open file 'C:\Users\User\PycharmProjects\main_1\face_detect.py': [Errno 2] No such file or directory

因此，它无法使用非有效文件（图像）的opencv转换颜色

File "C:\Users\User\PycharmProjects\main_1\main2.py", line 13, in <module>
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-95hbg2jt\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src
.empty() in function 'cv::cvtColor'

因此，请检查您的文件夹是否包含要使用的文件，例如abba.png

使用命令dir使用windows cmd列出目录中的所有目录和文件ls是一个unix命令

Answer 2

您可以在deepface中应用人脸检测。它包裹了几个人脸检测器。在这里，mtcnn是最强大但最慢的。ssd是最快的。框架将在后台下载所需的依赖项

#!pip install deepface
from deepface import DeepFace
detectors = ['opencv', 'ssd', 'mtcnn', 'dlib']
img = DeepFace.detectFace("img.jpg", detector_backend = detectors[0])