C++ 在opencv detectMultiScale3中,levelWeights是什么意思?
这里是我的HaarCascade实现,在这里我训练了自己的分类器C++ 在opencv detectMultiScale3中,levelWeights是什么意思?,c++,python-3.x,opencv,object-detection,haar-classifier,C++,Python 3.x,Opencv,Object Detection,Haar Classifier,这里是我的HaarCascade实现,在这里我训练了自己的分类器 import cv2 import numpy as np body_classifier = cv2.CascadeClassifier('C:\\Users\\Nemi\\MasteringComputerVision_V1.00\\Haarcascades\\trainedHuman.xml') image = cv2.imread("twn2.jpg") #####HEREEEEEEEEEEEEEEEEEEEEEEEEE
import cv2
import numpy as np
body_classifier = cv2.CascadeClassifier('C:\\Users\\Nemi\\MasteringComputerVision_V1.00\\Haarcascades\\trainedHuman.xml')
image = cv2.imread("twn2.jpg")
#####HEREEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE
bodies,rejectLevels, levelWeights = body_classifier.detectMultiScale3(
image,
scaleFactor=1.1,
minNeighbors=20,
minSize=(24, 24),
maxSize=(96,96),
flags = cv2.CASCADE_SCALE_IMAGE,
outputRejectLevels = True
)
print(rejectLevels)
print(levelWeights)
i = 0
font = cv2.FONT_ITALIC
for (x,y,w,h) in bodies:
cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,255),2)
font = cv2.FONT_HERSHEY_SIMPLEX
#cv2.putText(image,str(i)+str(":")+str(np.log(levelWeights[i][0])),(x,y), font,0.5,(255,255,255),2,cv2.LINE_AA)
cv2.putText(image,str(levelWeights[i][0]),(x,y), font,0.5,(255,255,255),2,cv2.LINE_AA)
i = i+1
cv2.imshow("Detection",image)
cv2.waitKey(0)
cv2.destroyAllWindows()
结果输出如下:
我想知道这个levelWeights是什么意思,为什么值这么小?如果此levelWeights可以在检测窗口的置信度形式中使用,我应该做什么?
levelWights
返回特定阶段的置信度。在您的情况下,i
是检测到的对象,0
表示第一阶段。它非常小,可能是因为对象太远,并且分类器最初经过训练以捕获较大尺寸的对象