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Train on cityscapes #168

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lucasjinreal opened this issue Nov 18, 2018 · 5 comments
Closed

Train on cityscapes #168

lucasjinreal opened this issue Nov 18, 2018 · 5 comments
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contributions welcome enhancement New feature or request question Further information is requested

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@lucasjinreal
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How to train on cityscapes dataset? Does any one trained on it?

@fmassa
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fmassa commented Nov 19, 2018

Training on a new dataset can be done by following the instructions in #15 , and by using the coco-like dataset format for cityscapes, which can be found in https://github.com/facebookresearch/Detectron/blob/master/tools/convert_cityscapes_to_coco.py
Alternatively, you can write your own dataset for that.

Also, in #166 @ltnghia managed to train on cityscapes.
Maybe he can share the procedure with us, and maybe (even better) send a PR adding support for CityScapes?

@fmassa fmassa added enhancement New feature or request question Further information is requested contributions welcome labels Nov 19, 2018
@lucasjinreal
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@fmassa Let me mention him there

@ltnghia
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ltnghia commented Nov 24, 2018

@fmassa: I cannot click on "Create pull request".
@jinfagang: You can use my code in #166, it's correct. Convert Cityscapes to COCO format and then follow the procedure in #166, you definitely can train on Cityscapes.

@fmassa
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fmassa commented Nov 24, 2018

@ltnghia this is weird. Did you push the code to any public branch of your fork of mask RCNN benchmark?

@fmassa
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fmassa commented Dec 12, 2018

Fixed via #232

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