我正在编写面部识别程序，但在尝试训练识别器时不断收到此错误
TypeError: Expected cv::UMat for argument 'labels'
我的代码是
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
if (len(faces)==0):
return None, None
(x, y, w, h) = faces[0]
return gray[y:y+w, x:x+h], faces[0]
def prepare_training_data():
faces = []
labels = []
for img in photo_name_list: #a collection of file locations as strings
image = cv2.imread(img)
face, rect = detect_face(image)
if face is not None:
faces.append(face)
labels.append("me")
return faces, labels
def test_photos():
face_recognizer = cv2.face.LBPHFaceRecognizer_create() …您好，我正在尝试创建一个面部识别程序，但是出现一个奇怪的错误：这是我的代码：
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier("lbpcascade_frontalface.xml")
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
这个错误是输出
SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set
我的工作目录中有“ lbpcascade_frontalface.xml”，所以这不应该成为问题
如果我输入时有帮助
cv2.__version__
我懂了
'4.0.0'
您好，我正在尝试从网站上抓取一些数据，但 request.get() 遇到了一些问题。这是我的代码：
page_url = front_end+str(i)+'/'
page = requests.get(page_url)
所以我希望它是一个字符串，因为我只是输入一个网址，如果我停止代码或者它运行太长时间，我会得到类似的内容：
File "/usr/local/lib/python3.6/site-packages/urllib3/connectionpool.py",
line 377, in _make_request
httplib_response = conn.getresponse(buffering=True)
TypeError: getresponse() got an unexpected keyword argument 'buffering'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 24, in <module>
page = requests.get(page_url)
File "/usr/local/lib/python3.6/site-packages/requests/api.py", line 75, in get
return request('get', url, params=params, **kwargs)
File "/usr/local/lib/python3.6/site-packages/requests/api.py", line 60, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.6/site-packages/requests/sessions.py", line 533, in request
resp = self.send(prep, …我正在编写一个面部识别程序，但我一直收到这个错误，我很困惑我在网上没有看到人们在转换为 UMat 时包含范围的其他示例
Traceback (most recent call last):
File "test.py", line 48, in <module>
test_photos()
File "test.py", line 40, in test_photos
face, rect = detect_face(test_photo)
File "test.py", line 15, in detect_face
imgUMat = cv2.UMat(img)
TypeError: UMat() missing required argument 'ranges' (pos 2)
我的代码是
def detect_face(img):
imgUMat = cv2.UMat(img)
gray = cv2.cvtColor(imgUMat, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
if (len(faces)==0):
return None, None
(x, y, w, h) = faces[0]
gray = gray.get()
return gray[y:y+h,x:x+w], faces[0]
def …