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HRNet / HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
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Inference results on BDD100k and custom dataset #114

Open abhigoku10 opened 4 years ago

abhigoku10 commented 4 years ago

@sunke123 @wondervictor @welleast @leoxiaobin @bearcatt Thanks for open sourcing the source code , its a great work . I have few queries Q1 when i used the HRNet + OCR model on BDD100k and on custom dataset i get the below results image Q2 should we use any different kind of preprocessing technique on bdd100k and custom dataset to obtain results like cityscapes Q3 any idea to increase the mask quality for poles and get the trunk part of tree more clearly Q4 y does sky getting classified and segmented as buildings or trees

THanks in advance

sunny0414 commented 4 years ago

how to train in custom dataset? @abhigoku10