segmentation/config/gtav/gtav_fcn50.yaml [39:57]:
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  evaluate_on_cityscapes: True
Distributed:
  dist_url: tcp://127.0.0.1:6789
  dist_backend: 'nccl'
  multiprocessing_distributed: False
  world_size: 1
  rank: 0

TEST:
  test_list: dataset/gtav/val.txt
  split: val  # split in [train, val and test]
  base_size: 2048  # based size for scaling
  test_h: 713
  test_w: 713
  scales: [1.0]  # evaluation scales, ms as [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
  has_prediction: False  # has prediction already or not
  index_start: 0  # evaluation start index in list
  index_step: 0  # evaluation step index in list, 0 means to end
  test_gpu: [0]
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segmentation/config/gtav/gtav_fcn50_cnsn.yaml [49:67]:
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  evaluate_on_cityscapes: True
Distributed:
  dist_url: tcp://127.0.0.1:6789
  dist_backend: 'nccl'
  multiprocessing_distributed: False
  world_size: 1
  rank: 0

TEST:
  test_list: dataset/gtav/val.txt
  split: val  # split in [train, val and test]
  base_size: 2048  # based size for scaling
  test_h: 713
  test_w: 713
  scales: [1.0]  # evaluation scales, ms as [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
  has_prediction: False  # has prediction already or not
  index_start: 0  # evaluation start index in list
  index_step: 0  # evaluation step index in list, 0 means to end
  test_gpu: [0]
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