Window Data Layer for Detection Finetuning #245
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matlab/caffe/matcaffe.cpp
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@rbgirshick to the best of my knowledge this was just an out-of-date comment, but please check for me.
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Just read through the code - all looks good to me. I'll compile and test the updated matcaffe wrapper too. |
this commit (in addition to all caffe unit tests passing)
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Just tested the matcaffe wrapper and that everything matches up in the RCNN system - computed features are identical to previously computed ones. |
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This is my integration of the window data layer authored by Ross Girshick as part of R-CNN [1]. This data layer is useful for the finetuning of detectors by training on window crops instead of whole images.
This change was meant for release 0.99 and will be retroactively added to the release once merged.
[1] Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. Arxiv 2013.