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How can I train with my own images? #28
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The main thing you want to do is create a file equivalent to util/dataset/mpii.lua as a reference for loading your own data. This provides a uniform interface between the rest of the code and your particular dataset. You don’t have to use an hdf5 file for this. To switch between datasets you can change the default option in opts.lua or call the code with the argument ‘-dataset [your-dataset]’.
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So, if we wanted to perform some sort of transfer learning using your existing pre-trained model (umich-stacked-hourglass.t7) and our own dataset that only has 12 joints annotated, would it be possible to train? Could we simply load your pre-trained model, load our dataset, change the nJoints parameters specified above to 12 and then train? Thanks in advance. |
Hi @neherh, loading the weights directly isn't possible. When you change See
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@anewell , thanks for your detailed introduction, I have two more questions.
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@anewell Thanks for the detailed explanation. Could you please elaborate point 5. Especially, I am confused on how to get normalized distance ("Since figures...." from point 5). Are there any resources where I can find detailed procedure to find the PCK measure? |
Hi, @anewell
How can I train with my own images?
I don't know how to edit the train.h5 file.
What's the meaning of h5 file's many table 7 it's column ...
Thanks in advance ~
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