1  [net]
   2  # Testing
   3  batch=1
   4  subdivisions=1
   5  # Training
   6  # batch=64
   7  # subdivisions=2
   8  width=416
   9  height=416
  10  channels=3
  11  momentum=0.9
  12  decay=0.0005
  13  angle=0
  14  saturation = 1.5
  15  exposure = 1.5
  16  hue=.1
  17  
  18  learning_rate=0.001
  19  burn_in=1000
  20  max_batches = 500200
  21  policy=steps
  22  steps=400000,450000
  23  scales=.1,.1
  24  
  25  [convolutional]
  26  batch_normalize=1
  27  filters=16
  28  size=3
  29  stride=1
  30  pad=1
  31  activation=leaky
  32  
  33  [maxpool]
  34  size=2
  35  stride=2
  36  
  37  [convolutional]
  38  batch_normalize=1
  39  filters=32
  40  size=3
  41  stride=1
  42  pad=1
  43  activation=leaky
  44  
  45  [maxpool]
  46  size=2
  47  stride=2
  48  
  49  [convolutional]
  50  batch_normalize=1
  51  filters=64
  52  size=3
  53  stride=1
  54  pad=1
  55  activation=leaky
  56  
  57  [maxpool]
  58  size=2
  59  stride=2
  60  
  61  [convolutional]
  62  batch_normalize=1
  63  filters=128
  64  size=3
  65  stride=1
  66  pad=1
  67  activation=leaky
  68  
  69  [maxpool]
  70  size=2
  71  stride=2
  72  
  73  [convolutional]
  74  batch_normalize=1
  75  filters=256
  76  size=3
  77  stride=1
  78  pad=1
  79  activation=leaky
  80  
  81  [maxpool]
  82  size=2
  83  stride=2
  84  
  85  [convolutional]
  86  batch_normalize=1
  87  filters=512
  88  size=3
  89  stride=1
  90  pad=1
  91  activation=leaky
  92  
  93  [maxpool]
  94  size=2
  95  stride=1
  96  
  97  [convolutional]
  98  batch_normalize=1
  99  filters=1024
 100  size=3
 101  stride=1
 102  pad=1
 103  activation=leaky
 104  
 105  ###########
 106  
 107  [convolutional]
 108  batch_normalize=1
 109  filters=256
 110  size=1
 111  stride=1
 112  pad=1
 113  activation=leaky
 114  
 115  [convolutional]
 116  batch_normalize=1
 117  filters=512
 118  size=3
 119  stride=1
 120  pad=1
 121  activation=leaky
 122  
 123  [convolutional]
 124  size=1
 125  stride=1
 126  pad=1
 127  filters=255
 128  activation=linear
 129  
 130  
 131  
 132  [yolo]
 133  mask = 3,4,5
 134  anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
 135  classes=80
 136  num=6
 137  jitter=.3
 138  ignore_thresh = .7
 139  truth_thresh = 1
 140  random=1
 141  
 142  [route]
 143  layers = -4
 144  
 145  [convolutional]
 146  batch_normalize=1
 147  filters=128
 148  size=1
 149  stride=1
 150  pad=1
 151  activation=leaky
 152  
 153  [upsample]
 154  stride=2
 155  
 156  [route]
 157  layers = -1, 8
 158  
 159  [convolutional]
 160  batch_normalize=1
 161  filters=256
 162  size=3
 163  stride=1
 164  pad=1
 165  activation=leaky
 166  
 167  [convolutional]
 168  size=1
 169  stride=1
 170  pad=1
 171  filters=255
 172  activation=linear
 173  
 174  [yolo]
 175  mask = 0,1,2
 176  anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
 177  classes=80
 178  num=6
 179  jitter=.3
 180  ignore_thresh = .7
 181  truth_thresh = 1
 182  random=1
 183