DLib：train_shape_predictor_ex.cpp [英] DLib : train_shape_predictor_ex.cpp

问题描述

我试图通过在 train_dlib_shape_predictor_ex.cpp 来训练Dlib的形状预测变量href =http://www.ifp.illinois.edu/~vuongle2/helen/ =nofollow> helen数据集，如代码所述，我将测试图像放置在当前目录中的face文件夹中的形状预测器。但是当我运行代码时，它抛出以下异常：

  C：\train_shape_predictor_ex\Release> train_shape_predictor_ex test 
 
抛出异常！ 
错误：无法打开test / training_with_face_landmarks.xml进行阅读。 
  

为没有 training_with_face_landmarks.xml 和 testing_with_face_landmarks.xml 文件在以下页面的helen数据集中可用：链接

有一个名为注释的文件夹，其中包含一个文本文件，其中包含数据集中每个图像的194个地标点位置。如何将此文件转换为 training_with_face_landmarks.xml 。

解决方案

'training_with_face_landmarks.xml'文件并观察其结构。

现在问问自己：

1. 文件之间有什么变化？ （提示：点数据）


2. 保持不变？ （提示：通用锅炉板顶部和尾部）

打开HELEN数据 - p>

您的任务现在是将HELEN集中的数据解析为临时数据结构/变量，然后将其写入具有所有必需的顶部和尾部的文件。这将是一个kludge，可能恼人的循环里面循环写循环等，但你会得到那里。

'c ++ i / o streams'搜索字符串将让您开始。

I am trying to train the shape predictor of Dlib by executing train_dlib_shape_predictor_ex.cpp on helen dataset as described in the code, I place test images in a face folder in current directory of shape predictor. But when I run the code it throws following exception:

C:\train_shape_predictor_ex\Release>train_shape_predictor_ex test

exception thrown!
ERROR: unable to open test/training_with_face_landmarks.xml for reading.

as no training_with_face_landmarks.xml and testing_with_face_landmarks.xml files are available in helen dataset on the following page : link

There is a folder named annotation which contains one text file containing the 194 landmark points location for each and every image in the dataset. How to convert this file into training_with_face_landmarks.xml.

解决方案

Open up the 'training_with_face_landmarks.xml' file and observe its structure.

Now, ask yourself:

1. What changes between files? (hint: the point data)
2. What stays the same? (hint: generic 'boiler plate' top and tail)

Open up the HELEN data - ask the same again...

Your task now is to parse the data from the HELEN set into a temporary data-structure/variable and then write it to file with all the required top and tail. It'll be a kludge and likely annoying to write with loops inside loops inside loops etc. but you'll get there.

'c++ i/o streams' as a search string will get you started.

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