使用python达到以下条件. 要求定义6个变量并按要求赋值,输出格式如下所示: 姓名:李丽 学号:2017b08232460 性别:女 年龄:19 身高:161 体重:101.5
时间: 2023-05-13 15:07:44 浏览: 163
以下是使用 Python 达到以上要求的代码:
name = "李丽"
student_id = "2017b08232460"
gender = "女"
age = 19
height = 161
weight = 101.5
print("姓名:{} 学号:{} 性别:{} 年龄:{} 身高:{} 体重:{}".format(name, student_id, gender, age, height, weight))
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写一个能在matlab2017b版本运行的orb代码,要求:1 实现图片的特征点提取和匹配 2 显示匹配结果
以下是一段 Matlab 2017b 版本的 orb 代码,实现了图像的特征点提取和匹配,并显示了匹配结果:
```
% 读入两张图像
img1 = imread('图像1.jpg');
img2 = imread('图像2.jpg');
% 特征点提取
points1 = detectORBFeatures(img1);
points2 = detectORBFeatures(img2);
% 特征点描述
[features1, valid_points1] = extractFeatures(img1, points1);
[features2, valid_points2] = extractFeatures(img2, points2);
% 特征点匹配
indexPairs = matchFeatures(features1, features2);
% 显示匹配结果
matchedPoints1 = valid_points1(indexPairs(:, 1), :);
matchedPoints2 = valid_points2(indexPairs(:, 2), :);
figure;
showMatchedFeatures(img1, img2, matchedPoints1, matchedPoints2);
title('特征点匹配结果');
```
注意:上面的代码需要使用 Image Processing Toolbox,请确保已经安装了该工具箱。
how to solve error while loading shared libraries: libmwcpp11compat.iso: cannot open shared object profile when loading MatLab2017b in linux
To solve the "error while loading shared libraries: libmwcpp11compat.iso: cannot open shared object" issue when loading MATLAB 2017b in Linux, you can try the following steps:
1. First, make sure that the library file exists in the correct location. You can verify this by using the `find` command in the terminal:
```
find /usr/local/MATLAB/R2017b -name libmwcpp11compat.so
```
If the library is not found, it might be missing or corrupted. In that case, you can proceed to the next step.
2. Reinstall the MATLAB Runtime. MATLAB ships with its own Runtime environment, and reinstalling it can help resolve library-related issues. You can download the MATLAB Runtime installer from the MathWorks website and follow their instructions for installation.
3. Set the correct library path. Open the terminal and enter the following command to set the library path:
```
export LD_LIBRARY_PATH=/usr/local/MATLAB/R2017b/bin/glnxa64:$LD_LIBRARY_PATH
```
Replace `/usr/local/MATLAB/R2017b` with your actual MATLAB installation path if it is different.
4. Try running MATLAB again and check if the issue persists. If it does, you can try enabling symbolic linking for shared libraries by running the following command:
```
sudo ldconfig
```
5. If none of the above solutions work, you can contact MathWorks support for further assistance. They can provide more specific guidance based on your system configuration and the error you are encountering.
Remember to provide them with detailed information about the error message and your system setup to help them diagnose and resolve the issue more effectively.