yolov2-tiny.cfg.txt
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 size=3 110 stride=1 111 pad=1 112 filters=512 113 activation=leaky 114 115 [convolutional] 116 size=1 117 stride=1 118 pad=1 119 filters=425 120 activation=linear 121 122 [region] 123 anchors = 0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828 124 bias_match=1 125 classes=80 126 coords=4 127 num=5 128 softmax=1 129 jitter=.2 130 rescore=0 131 132 object_scale=5 133 noobject_scale=1 134 class_scale=1 135 coord_scale=1 136 137 absolute=1 138 thresh = .6 139 random=1