afm_cvpr2019
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Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)
Dear author: I have run your experiment and output the result in /experiments/unet/results(the result are .mat format as below), then i want to do the evaluation,but I did not find...
Does anyone meet this issue? 
here are some errors  how to solve it?
here are error images:  how to solve it?
when I run "python train.py --config-file experiments/afm_atrous.yaml --gpu 0" it shows that "Constructing DeepLabv3+ model... Number of output channels: 2 Output stride: 16 Number of Input Channels: 3 Training AT...
cd afm_op; python setup.py build_ext --inplace; rm -rf build; cd ../../ /home/zgz/anaconda3/envs/afm/lib/python3.5/distutils/extension.py:132: UserWarning: Unknown Extension options: 'defined_macros' warnings.warn(msg) running build_ext building 'CUDA' extension creating build creating build/temp.linux-x86_64-3.5 creating build/temp.linux-x86_64-3.5/cuda gcc...
Hey, excellent work and great thanks for the open sourced code. I can get outputs as following after executing `python test.py --config-file experiments/afm_atrous.yaml --gpu 0`    Yet these...
while i download the dataset,but the link of dataset is not exist. can you help me?,I want train the dataset
RuntimeError: CUDA out of memory. Tried to allocate 25.00 MiB (GPU 0; 3.94 GiB total capacity; 3.14 GiB already allocated; 21.56 MiB free; 634.00 KiB cached) do you have this...