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Python &引用;属性错误:模块';cv2.cv2';没有属性';dnn“检测模型”;_Python_Opencv_Opencv Contrib - Fatal编程技术网

Python &引用;属性错误:模块';cv2.cv2';没有属性';dnn“检测模型”;

Python &引用;属性错误:模块';cv2.cv2';没有属性';dnn“检测模型”;,python,opencv,opencv-contrib,Python,Opencv,Opencv Contrib,代码 import cv2 thres = 0.45 # Threshold to detect object cap = cv2.VideoCapture(0) cap.set(3,1280) cap.set(4,720) cap.set(10,70) classNames = [] classFile = '/home/pi/Desktop/objectDetection/coco.names' with open(classFile,'rt') as f: className

代码

import cv2

thres = 0.45 # Threshold to detect object

cap = cv2.VideoCapture(0)
cap.set(3,1280)
cap.set(4,720)
cap.set(10,70)

classNames = []
classFile = '/home/pi/Desktop/objectDetection/coco.names'
with open(classFile,'rt') as f:
    classNames = f.read().rstrip('\n').split('\n')

configPath = '/home/pi/Desktop/objectDetection/ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'
weightsPath = '/home/pi/Desktop/objectDetection/frozen_inference_graph.pb'

net = cv2.dnn_DetectionModel(weightsPath,configPath)
net.setInputSize(320,320)
net.setInputScale(1.0/ 127.5)
net.setInputMean((127.5, 127.5, 127.5))
net.setInputSwapRB(True)

while True:
    success,img = cap.read()
    classIds, confs, bbox = net.detect(img,confThreshold=thres)
    print(classIds,bbox)

    if len(classIds) != 0:
        for classId, confidence,box in zip(classIds.flatten(),confs.flatten(),bbox):
            cv2.rectangle(img,box,color=(0,255,0),thickness=2)
            cv2.putText(img,classNames[classId-1].upper(),(box[0]+10,box[1]+30),
                        cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)
            cv2.putText(img,str(round(confidence*100,2)),(box[0]+200,box[1]+30),
                        cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)

    cv2.imshow("Output",img)
    cv2.waitKey(1)

   
下面是用于安装opencv/opencv contrib 4.5.1版的命令列表的屏幕截图,文件的结构、代码和错误


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