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How to detect multiple objects with OpenCV in C++?

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问题 I got inspiration from this answer here, which is a Python implementation, but I need C++ , that answer works very well, I got the thought is that: detectAndCompute to get keypoints , use kmeans to segment them to clusters, then for each cluster do matcher->knnMatch with each's descriptors , then do the other stuffs like the common single detecting method. The main problem is, how to provide descriptors for each cluster's matcher->knnMatch process? I thought we should set value of the other

'numpy.float64' object is not iterable - meanshift clustering

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问题 python newbie here. I am trying to run this code but I get the error message that the object is not iterable. Would appreciate some advice on what I am doing wrong. Thanks. import matplotlib.pyplot as plt import numpy as np import pandas as pd temp = pd.read_csv("file.csv", encoding='latin-1') xy = temp.ix[:,2:6] X = xy.values X array([[ nan, nan], [ nan, nan], [ 3.92144000e+00, nan], [ 4.42382000e+00, nan], [ 4.18931000e+00, 5.61562775e+02], [ nan, nan], [ 4.33025000e+00, 6.73123391e+02], [

How to detect multiple objects with OpenCV in C++?

阅读更多关于 How to detect multiple objects with OpenCV in C++?

I got inspiration from this answer here , which is a Python implementation, but I need C++ , that answer works very well, I got the thought is that: detectAndCompute to get keypoints , use kmeans to segment them to clusters, then for each cluster do matcher->knnMatch with each's descriptors , then do the other stuffs like the common single detecting method. The main problem is, how to provide descriptors for each cluster's matcher->knnMatch process? I thought we should set value of the other keypoints corresponding descriptor to 0(useless), am I right? And got some problems in my trying: how