题目描述
After solving the OCR problem provided by Neutral, Pong began to consider a more realistic problem: "What if the letters in the image can touch each other??" It’s so complicated because the connected
component of the letters can become anything. However, as human, we can also recognize letters, so maybe a machine learning algorithm can train a recognition&claasification model?
Before learning anything about machine learning algorithm, you must find a way to recognize what an image contains, to evaluate a specific training algorithm&model.
Given you an image as follow, please output the number of letters ’A’, ’C’ and ’M’ after your manually counting.
Before learning anything about machine learning algorithm, you must find a way to recognize what an image contains, to evaluate a specific training algorithm&model.
Given you an image as follow, please output the number of letters ’A’, ’C’ and ’M’ after your manually counting.

输入
No Input
输出
please output the number of letters ’A’, ’C’ and ’M’,separated by spaces
对于这个题 只能 "呵呵"
#include<iostream>
using namespace std;
int main()
{
cout<<"5"<<' '<<"5"<<' '<<"5"<<endl;
return 0;
}
本文提出了一种手动计数图像中特定字母(A、C、M)数量的方法,并探讨了复杂图像条件下字符识别的问题。虽然没有深入介绍机器学习算法,但为后续训练识别分类模型提供了思考方向。
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