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Pretrained model Coco with Resnet50 layers #93

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evinpinar opened this issue Jan 20, 2020 · 3 comments
Open

Pretrained model Coco with Resnet50 layers #93

evinpinar opened this issue Jan 20, 2020 · 3 comments

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@evinpinar
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Currently, there are two pretrained model weights:

  1. Resnet50 Imagenet weights for feature extraction (backbone)
  2. MaskRcnn Coco weights for mask-rcnn with resnet101 architecture

Are there any coco trained maskrcnn weights for resnet50 architecture? Or is it okay if I use the resnet101model weights on resnet50 architecture?

@evinpinar
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So far, according to my experiments, it does not work well.

@bpmsilva
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bpmsilva commented May 6, 2020

@evinpinar, you could use this tutorial, which uses a native implementation of Mask RCNN in Pytorch

@evinpinar
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Thanks, but I need the weights because i'm modifying this implementation a bit.
I guess i will instead move to fb official implementation.

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