train_object_detector.cpp dlib 中的错误

Question

我试图在 dlib 库中运行 train_object_detector.cpp 来训练它进行行人检测。我正在使用 INRIA 数据集，当我尝试使用它时，出现了异常：

exception thrown!
Error! An impossible set of object boxes was given for training. All 
the boxes 
need to have a similar aspect ratio and also not be smaller than about 
1600 
pixels in area. The following images contain invalid boxes: 
crop001002.png
crop001027.png
crop001038.png
crop001160.png
crop001612.png
crop001709.png
Try the -h option for more information.

当我删除这些照片时，它确实运行并加载了所有照片，但随后引发了另一个异常

exception thrown!
An impossible set of object labels was detected. This is happening 
because none
of the object locations checked by the supplied image scanner is a 
close enough
match to one of the truth boxes. To resolve this you need to either 
lower the 
match_eps or adjust the settings of the image scanner so that it hits 
this truth box. Or you could adjust the offending truth rectangle so 
it can be matched by the current image scanner. Also, if you are using 
the scan_image_pyramid object then you could try using a finer image 
pyramid or adding more detection templates. E.g. if one of your 
existing detection templates has a matching width/height ratio and 
smaller area than the offending rectangle then a finer image pyramid 
would probably help. 

请帮我解决这个问题。

Answer 1

您是否使用 ImgLab 标记您的图像？

当您使用此工具标记图像时，请记住您的边界框必须具有相似的纵横比，并且这些边界框必须小于滑动窗口。 通常，您正在运行的示例应根据提供的框动态计算滑动窗口的大小。

如果这些都没有帮助，我建议您稍微修改源代码以进一步跟踪错误源。