text: [net]
  # Testing
  batch=1
  subdivisions=1
  # Training
  # batch=64
  # subdivisions=8
  width=224
  height=224
  channels=3
  momentum=0.9
  decay=0.0005
  angle=0
  saturation = 1.5
  exposure = 1.5
  hue=.1
  
  learning_rate=0.001
  burn_in=1000
  max_batches = 500200
  policy=steps
  steps=400000,450000
  scales=.1,.1
  
  [convolutional]
  batch_normalize=1
  filters=32
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [maxpool]
  size=2
  stride=2
  
  [convolutional]
  batch_normalize=1
  filters=64
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [maxpool]
  size=2
  stride=2
  
  [convolutional]
  batch_normalize=1
  filters=128
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=64
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=128
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [maxpool]
  size=2
  stride=2
  
  [convolutional]
  batch_normalize=1
  filters=256
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=128
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=256
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [maxpool]
  size=2
  stride=2
  
  [convolutional]
  batch_normalize=1
  filters=512
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=256
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=512
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=256
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=512
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [maxpool]
  size=2
  stride=2
  
  [convolutional]
  batch_normalize=1
  filters=1024
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=512
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=1024
  size=3
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=512
  size=1
  stride=1
  pad=1
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  filters=1024
  size=3
  stride=1
  pad=1
  activation=leaky
  
  
  #######
  
  [convolutional]
  batch_normalize=1
  size=3
  stride=1
  pad=1
  filters=1024
  activation=leaky
  
  [convolutional]
  batch_normalize=1
  size=3
  stride=1
  pad=1
  filters=1024
  activation=leaky
  
  [route]
  layers=-9
  
  [convolutional]
  batch_normalize=1
  size=1
  stride=1
  pad=1
  filters=64
  activation=leaky
  
  [reorg]
  stride=2
  
  [route]
  layers=-1,-4
  
  [convolutional]
  batch_normalize=1
  size=3
  stride=1
  pad=1
  filters=1024
  activation=leaky
  
  [convolutional]
  size=1
  stride=1
  pad=1
  filters=425
  activation=linear
  
  
  [region]
  anchors =  0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828
  bias_match=1
  classes=80
  coords=4
  num=5
  softmax=1
  jitter=.3
  rescore=1
  
  object_scale=5
  noobject_scale=1
  class_scale=1
  coord_scale=1
  
  absolute=1
  thresh = .6
  random=1
  