索引错误:索引 14708 超出轴 0 的范围，大小为 295 [英] IndexError: index 14708 is out of bounds for axis 0 with size 295

问题描述

我正在尝试使用 yolo 制作对象检测软件，但此错误正在弹出，我很迷茫谁能帮我 ！！(代码不完整，如果这篇文章中有任何错误，我很抱歉，因为我是 Stackoverflow 新手).教程来自 这里

I'm trying to make object detection software with yolo and this error is popping and I am so lost please can anyone help me !! (the code not complete and sorry if there are any mistakes in this post cus I am new Stackoverflow).the tutorial is from here

Traceback (most recent call last):
  File "d:/opencv/objdetect_yolo.py", line 66, in <module>
    findobj(output,img)
  File "d:/opencv/objdetect_yolo.py", line 33, in findobj
    cofidence = scores[classId]
IndexError: index 14708 is out of bounds for axis 0 with size 295

索引错误:索引 14708 超出轴 0 的范围，大小为 295

IndexError: index 14708 is out of bounds for axis 0 with size 295

import numpy as np 
import cv2

cap = cv2.VideoCapture(0)
whT = 320

classespath = 'coco.names.txt'
classes = []

with open(classespath,'rt')as f:
    classes = f.read().rstrip('\n').split('\n')
#print (classes)
#print(len(classes))

modelConfiguration = 'yolov3.cfg'
modelWeights = 'yolov3.weights'

net = cv2.dnn.readNetFromDarknet(modelConfiguration, modelWeights)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU)

def findobj(outputs,img):
    hT, wT , cT = img.shape
    bbox = []
    classIds = []
    confs = []


    for output in outputs:
        for det in outputs:
            scores = det[5:]
            classId = np.argmax(scores)
            cofidence = scores[classId]
            if float(0.5) < cofidence:

            
                w,h = int(det[2]*wT),int(det[3]*hT)
                x,y = int((det[0]*wT) - w/2), int((det[1]*hT) - h/2)
                bbox.append([x,y,w,h])
                classIds.append(classId)
                confs.append(float(cofidence))
              




     
while True:
    succes, img = cap.read()

    blob = cv2.dnn.blobFromImage(img,1/255,(whT,whT),[0,0,0],1,crop=False)
    net.setInput(blob)

    layerNames = net.getLayerNames()
    #print(layerNames)
    outputNames = [layerNames[i[0]-1]for i in net.getUnconnectedOutLayers() ]
    #print(outputNames)
    #print(net.getUnconnectedOutLayers())
    output = net.forward(outputNames)


    findobj(output,img)


    cv2.imshow("objdetect",img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

推荐答案

您似乎遇到了问题，因为 np.argmax 会给您最大元素的原始编号而不是指数.因此，如果您有一个 3x3 矩阵，argmax 函数会将矩阵视为 9x1 行而不是 3x3 正方形.

It seems that you are running into a problem because np.argmax will give you the raw number of the max element instead of the index. So if you have a 3x3 matrix the argmax function will treat the matrix as a 9x1 line instead of a 3x3 square.

# The matrix:
[[1, 2, 3],
 [4, 5, 6],
 [7, 8, 9]]

#will be treated as:
[1, 2, 3, 4, 5, 6, 7, 8, 9]

文档 提出了以下解决方案:>

The documentation suggests the bellow solution:

classId = np.unravel_index(np.argmax(scores, axis=None), scores.shape)

这篇关于索引错误:索引 14708 超出轴 0 的范围，大小为 295的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！