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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Results 81 semantic-segmentation-pytorch issues
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Hello! I try to train default models from train.py on ADE20K, but I see such error: ``` Input arguments: weights_decoder batch_size_per_gpu 2 weights_encoder workers 16 lr_pow 0.9 seed 304 epoch_iters...

When I use ```pytorch 1.3.1``` with ```python3.7.4```, like this ``` import torch from torch.utils.data.dataloader import _DataLoaderIter ``` Here is an errer : ```cannot import name '_DataLoaderIter' from 'torch.utils.data.dataloader'``` How should...

Dear authors: Thanks for your great work. COCO is widely used, hence i wonder will you add coco panoptic dataset support? or can you give me some tips on how...

Hi guys, Thanks for having this awesome repo. I'm writing some code for semantic segmentation and noted that you are downsampling labels instead of upsampling predictions. This issue is not...

I get the following error when I run inference: ``` [2019-10-30 15:33:25,356 INFO test.py line 173 9944] Loaded configuration file config/ade20k-hrnetv2.yaml [2019-10-30 15:33:25,356 INFO test.py line 174 9944] Running with...

Hello, everyone. I tried to benchmark the fps on Titan Xp. using the following command line: > python3 eval.py --cfg config/ade20k-mobilenetv2dilated-c1_deepsup.yaml But it turns out the fps was very low...

Hey I am unable to understand how to class values in mask correspond to class names. I want to only use a subset of classes and for that need to...

Replace lines 56-56 in "test.py" with the following: ``` # scores = torch.zeros(1, cfg.DATASET.num_class, segSize[0], segSize[1]) # scores = async_copy_to(scores, gpu) ``` to ` scores = torch.zeros(1, cfg.DATASET.num_class, segSize[0], segSize[1],...

Hello, in the paper you said you propose a cascade segmentation module, and this module can be potentially be integrated in any previous semantic segmentation networks. Did you add the...

Is it possible to perform inference/test on multiple gpus. Right now the test script seems to accepts only one gpu id and testing on large dataset is very slow.