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This is cool, I had one question regarding pre-trained weights, The repo says they have weights as model checkpoints based on 3 data sets "(1) PASCAL VOC 2012, (2) Cityscapes, and (3) ADE20", apparently none of them has bottles or books in them, not sure if I missed anything here but surely they do offer more backbones than matterport.
I discovered a few more pre-trained models on DeepLab.
Code to infer from pretrained model can be found here.
Might be useful for both bottles and non-bottles.
@pshivraj @havanagrawal @tejasmhos @vivanvish
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