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Dilated Convolution for Semantic Image Segmentation

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I'm training for my own dataset, but not quite sure what to put in training/testing image/label text files. As far as I understood, the contents as follows: train_image: \ train_label:...

Hello, I am trying to train the front-end module on the Kitti dataset: http://adas.cvc.uab.es/s2uad/ I am using the following settings: 628x628 random cropping, reflection padding, 4 mini-batch size (can't fit...

Thank you very much for very interesting code. @fyu Can you give me some advice about how to reduce number of class for this model?

See: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/api_docs/python/nn.md#tfnnatrous_conv2dvalue-filters-rate-padding-namenone-atrous_conv2d

Hi, Do you think that the vgg16 can be replaced with ResNet? Would the idea of dilation work well?

I download the CityScapesDataset dataset and run the code but I get an error in __init__ pretrained=pretrained, num_classes=1000) in drn_c_26 model = DRN(BasicBlock, [1, 1, 2, 2, 2, 2, 1,...

Seems like the link is down http://vobj.cs.princeton.edu/models/dilation10_cityscapes.caffemodel

when I run the train.py ,I get this error: Traceback (most recent call last): File "train.py", line 251, in main() File "train.py", line 235, in main train_net, test_net = make_nets(options)...

How much GPU memory is required/recommended to run the demo? I am trying to run the demo on my Nvidia Jetson TX1 with 4 GB of RAM and the program...

I am trying to reproduce the results for the cityscapes dataset. I am now at the joint training and in the paper says the crop size was 1396x1396 px (half...