比较C中的double值(comparing double values in C)

 您收到的错误消息： 
 
TypeError: Only length-1 arrays can be converted to Python Scalars
 
 字面意思是：你已经在一个单一的值或单个元素的数组所期望的地方提供了一个多于一个元素 的数组 。 
 
 所以传递给model.train(samples, responses)的参数之一需要和标量......但是哪个？ 
 
 查看KNearest类的最新文档，让我们看到StatsModel.train方法的签名： 
 
 
 
 虚拟布尔cv :: ml :: StatModel :: train（InputArray样本，int布局，InputArray响应） 
 
 
 显然，新增了一个layout参数。 但它的含义有点模糊从文档。 
 
 不知道你的文件内容，我不知道你是否需要传递ROW_SAMPLE或COL_SAMPLE ，但用这些信息武装，我可以找到一个类似的问题 ，其解决方案是添加cv2.ml.ROW_SAMPLE作为第二个参数列车方法： 
 
model.train(samples, cv2.ml.ROW_SAMPLE, responses) 

The error message that you are getting:
 
TypeError: Only length-1 arrays can be converted to Python Scalars
 
literally means: you have provided an array of more than one element in a place where a single value or an array of a single element was expected.
 
So one of the arguments passed to call model.train(samples, responses) requires and scalar... but which?
 
A look at the latest documentation of KNearest class, allow us to see the signature of the StatsModel.train method:
 
 
 
virtual bool cv::ml::StatModel::train ( InputArray samples, int layout, InputArray responses )
 
 
Apparently, a new layout argument was added. But it's meaning is a little obscure from the documentation.
 
Without knowledge of the contents of you file, I can't tell if you need to pass ROW_SAMPLE or COL_SAMPLE, but armed with that information, I could find a similar question, whose solution was to add cv2.ml.ROW_SAMPLE as second argument to the train method:
 
model.train(samples, cv2.ml.ROW_SAMPLE, responses)