IndexError: list index out of range (Object Detection)

IndexError: list index out of range (Object Detection)

import cv2
thres = 0.45 

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

classNames= []
classFile = 'coco.names'

with open(classFile,'rt') as f:
    classNames = f.read().rstrip('n').split('n')

configPath = 'ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'
weightsPath = '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)

错误信息:

line 31, in <module>
    cv2.putText(img,classNames[classId-1].upper(),(box[0]+10,box[1]+30),
IndexError: list index out of range
[ WARN:1] global C:\Users\appveyor\AppData\Local\Temp\pip-req-build-wvn_it83\opencv\modules\videoio\src\cap_msmf.cpp (434) `anonymous-namespace'::SourceReaderCB::~SourceReaderCB terminating async callback

为什么这个列表索引超出范围,我该如何解决?

'coco.names' , 'ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt' 和 'frozen_inference_graph.pb' 包括在以下 link 中: https://mega.nz/file/UIlQ1L7Y#ePLIQMSlhwo6ab46f1GgYli9nNw6EFIE6mb33-GZnHs

您的 classNames 构建不正确,这就是您 index 超出范围 .

的原因

例如,您得到的 class ID 为 47(这是一个杯子),但是 classNames 中没有条目 46(classid -1)。

所以修复方法是:

with open(classFile,'rt') as f:
    classNames=[line.rstrip() for line in f]

下面是上述修复前后的演示: