Fix nan issue in features
[trackerpp.git] / resources / yolov3-tiny.cfg
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 = 1,2,3
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