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Preparing label file for our own training data

See original GitHub issue

I am going to try out some images that contain a holepuncher which is identical to the one in LINEMOD. However, for this to work, I need to have its label file as the requirements state:

(2) a folder containing label files (labels should be created using the same output representation explained above),

I am bit confused here. How and why to have its label file in the first place? I am only trying to test the detection here. I mean, if I need to create a label file to detect an object and if I need to enter 21 values in that file, pretty much I do the all the work anyway, what is there for the code to do. Moreover, the output representation talks about “prediction of values” so that also kind of confuses me. What is there for me to enter if the system “predicts”?

I guess I am a bit lost here. Could someone enlighten me a bit?

Issue Analytics

  • State:closed
  • Created 5 years ago
  • Comments:19

github_iconTop GitHub Comments

2reactions
btekincommented, Aug 9, 2018

For single object pose estimation, we don’t use anchors. That was a stray variable which is not being used. Now I updated the repo and removed the stray anchor values for single object pose estimation part of code.

The object size is indeed normalized to the original image size in label files.

1reaction
zhanghui-hunancommented, Sep 6, 2018

@eyildiz-ugoe and @btekin thanks for your contribution. Now I want to prepare label file for my own training data, too. However, a folder containing label files which i don’t know how to get it and correspond to my image, i wanna know do you have any tool such as 3d object annotation tool that i can label easily or other methods can make it. Another question is how do you get the .ply file, are you labeling based on the .ply file? Sincerely thank you and look forward to your reply!

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