我正在使用OpenCV制作遮罩的面部检测应用程序，该应用程序可以检测戴口罩的面部，但出现错误

如何解决我正在使用OpenCV制作遮罩的面部检测应用程序，该应用程序可以检测戴口罩的面部，但出现错误

from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import load_model
from imutils.video import VideoStream
import numpy as np
import argparse
import imutils
import time
import cv2
import os


def detect_and_predict_mask(frame,faceNet,maskNet):
    (h,w) = frame.shape[:2]
    blob = cv2.dnn.blobFromImage(frame,1.0,(300,300),(104.0,177.0,123.0))
    faceNet.setInput(blob)
    detections = faceNet.forward()
    faces = []
    locs = []
    preds = []

    for i in range(0,detections.shape[2]):
        confidence = detections[0,i,2]
        if confidence > args["confidence"]:
            Box = detections[0,3:7] * np.array([w,h,w,h])
            (startX,startY,endX,endY) = Box.astype("int")
            (startX,startY) = (max(0,startX),max(0,startY))
            (endX,endY) = (min(w - 1,endX),min(h - 1,endY))
            face = frame[startY:endY,startX:endX]
            face = cv2.cvtColor(face,cv2.COLOR_BGR2RGB)
            face = cv2.resize(face,(224,224))
            face = img_to_array(face)
            face = preprocess_input(face)
            face = np.expand_dims(face,axis=0)
            faces.append(face)
            locs.append((startX,endY))

    if len(faces) > 0:
        preds = maskNet.predict(faces)
    return (locs,preds)


ap = argparse.ArgumentParser()
ap.add_argument("-f","--face",type=str,default="face_detector",help="path to face detector model directory")
ap.add_argument("-m","--model",default="mask_detector.model",help="path to trained face mask detector model")
ap.add_argument("-c","--confidence",type=float,default=0.5,help="minimum probability to filter weak detections")
args = vars(ap.parse_args())
print("[INFO] loading face detector model...")
prototxtPath = os.path.sep.join([args["face"],"deploy.prototxt"])
weightsPath = os.path.sep.join([args["face"],"rES10_300x300_ssd_iter_140000.caffemodel"])
faceNet = cv2.dnn.readNet(prototxtPath,weightsPath)

print("[INFO] loading face mask detector model...")
maskNet = load_model(args["model"])

print("[INFO] starting video stream...")
vs = VideoStream(src=0).start()
time.sleep(2.0)

while True:
    frame = vs.read()
    frame = imutils.resize(frame,width=400)
    (locs,preds) = detect_and_predict_mask(frame,maskNet)
    for (Box,pred) in zip(locs,preds):
        (startX,endY) = Box
        (mask,withoutMask) = pred
        label = "Mask" if mask > withoutMask else "No Mask"
        color = (0,255,0) if label == "Mask" else (0,255)
        label = "{}: {:.2f}%".format(label,max(mask,withoutMask) * 100)
        cv2.putText(frame,label,(startX,startY - 10),cv2.FONT_HERShey_SIMPLEX,0.45,color,2)
        cv2.rectangle(frame,startY),(endX,endY),2)

    cv2.imshow("Frame",frame)
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break

cv2.destroyAllWindows()
vs.stop()

我是否需要导入任何模块

还是全部正确导入了。

我不调试

我一次重新格式化文件。

我已经获得了所有需要的xml和jpg文件。

我已经导入了所有需要的模块...我想是

下面是错误

您能帮我吗，我是OpenCV的新手，并遇到了类似这样的复杂错误

感谢所有Stackoverflow社区的帮助：）

C:\Users\Toshiba\Desktop\python_temelleri\venv\Scripts\python.exe C:/Users/Toshiba/Desktop/python_temelleri/detect_mask_video.py
2020-08-28 16:47:05.729423: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-08-28 16:47:05.730054: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
  File "C:/Users/Toshiba/Desktop/python_temelleri/detect_mask_video.py",line 60,in <module>
    faceNet = cv2.dnn.readNet(prototxtPath,weightsPath)
cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-2b5g8ysb\opencv\modules\dnn\src\caffe\caffe_io.cpp:1121: error: (-2:Unspecified error) Failed: fs.is_open(). Can't open "face_detector\deploy.prototxt" in function 'cv::dnn::ReadProtoFromTextFile'

[INFO] loading face detector model...

Process finished with exit code 1

解决方法

您没有提供模型，或者模型的路径不正确。打印prototxtPath和weightsPath的值，以检查是否提供了正确的模型路径。