semantic-segmentation-pytorch
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CSAILVision
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
When I try to access to the page of pretrain model (http://sceneparsing.csail.mit.edu/model/pytorch/), the following error is raised: You don't have permission to access this resource. Could you provide access to...
Hello. I am trying to train on the custom dataset having 6 classes. But here is the error I'm facing. Any help is appreciated. Exception has occurred: RuntimeError Error(s) in...
Hi! The http://sceneparsing.csail.mit.edu/ is DOWN as of May 1st 10pm. Any idea of when this will be fixed? Thanks.
Hello I am trying to train the model for my custom data of just 200-300 images. Our dataset generation is in the process so, I am just setting up the...
Hi, pretrained model ADE20K data is very helpful for one of my commercial project. Could I use the pretrained model for commercial purpose. I read the license term from https://groups.csail.mit.edu/vision/datasets/ADE20K/terms/...
``` class Classifier(pl.LightningModule): def __init__(self): super().__init__() self.MFB = MFB(512,768,True,256,64,0.1) self.fin_y_shape = torch.nn.Linear(768,512) self.fin_old = torch.nn.Linear(64,2) self.fin = torch.nn.Linear(16 * 768, 64) self.fin_inten = torch.nn.Linear(64,6) self.fin_e1 = torch.nn.Linear(64,2) self.fin_e2 = torch.nn.Linear(64,2)...
 I'm attempting to run the demo in a Docker environment with the following specifications: Ubuntu 16.04, Python 3.5, CUDA 8.0, and PyTorch 0.4.0. However, it appears that the segmentation...
How do I know the accuracy of the respective splits for the ADE20K0-150 item types?
I compared the time it took to train the models using 2 GPUs vs. using 1 GPU, an the result was that training with 2 GPUs is much slower. In...
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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset