Discovering Objects Using the Dlib Library

Question

I am trying to discover an object using the dlib learning library.

Since I followed the instructions written, everything looks fine, but I can’t detect my object even in the original image. even if I test it on a single black image, it detects one detection. what should not happen. and if I attach one of the trained images to a black image, he will find many detections that should not happen either.

I did not touch the train_object_detector.cpp file. this is the original.

here are my sample images

The XML file I created using imglab.

<?xml version='1.0' encoding='ISO-8859-1'?>
<?xml-stylesheet type='text/xsl' href='image_metadata_stylesheet.xsl'?>
<dataset>
<name>imglab dataset</name>
<comment>Created by imglab tool.</comment>
<images>
  <image file='totaldata/1.jpg'>
    <box top='0' left='1' width='61' height='64'/>
  </image>
  <image file='totaldata/2.jpg'>
    <box top='0' left='1' width='63' height='65'>
      <label>1</label>
    </box>
  </image>
  <image file='totaldata/3.jpg'>
    <box top='1' left='0' width='61' height='61'>
      <label>1</label>
    </box>
  </image>
  <image file='totaldata/4.jpg'>
    <box top='0' left='0' width='59' height='63'>
      <label>1</label>
    </box>
  </image>
  <image file='totaldata/5.jpg'>
    <box top='2' left='1' width='59' height='60'>
      <label>1</label>
    </box>
  </image>
  <image file='totaldata/6.jpg'>
    <box top='0' left='2' width='60' height='62'>
      <label>1</label>
    </box>
  </image>
</images>
</dataset>

detection screenshot only with black

detection screenshot only with black and one of the formed images.

just in case, this is a link for the cpp file.

http://dlib.net/train_object_detector.cpp.html

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Answer 1

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