niobures commited on
Commit
12b57f4
·
verified ·
1 Parent(s): 6666583

yolov2-tiny-voc, yolo-v3

Browse files
.gitattributes CHANGED
@@ -59,3 +59,5 @@ transnet-v2/test_data/bbc_02_clip.mp4 filter=lfs diff=lfs merge=lfs -text
59
  transnet-v2/transnetv2-weights/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
60
  YOLO/YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
61
  YOLO/YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
 
 
 
59
  transnet-v2/transnetv2-weights/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
60
  YOLO/YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
61
  YOLO/YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
62
+ YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
63
+ YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
YOLO/yolo-v3/yolov3-tiny/coco.names ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ person
2
+ bicycle
3
+ car
4
+ motorbike
5
+ aeroplane
6
+ bus
7
+ train
8
+ truck
9
+ boat
10
+ traffic light
11
+ fire hydrant
12
+ stop sign
13
+ parking meter
14
+ bench
15
+ bird
16
+ cat
17
+ dog
18
+ horse
19
+ sheep
20
+ cow
21
+ elephant
22
+ bear
23
+ zebra
24
+ giraffe
25
+ backpack
26
+ umbrella
27
+ handbag
28
+ tie
29
+ suitcase
30
+ frisbee
31
+ skis
32
+ snowboard
33
+ sports ball
34
+ kite
35
+ baseball bat
36
+ baseball glove
37
+ skateboard
38
+ surfboard
39
+ tennis racket
40
+ bottle
41
+ wine glass
42
+ cup
43
+ fork
44
+ knife
45
+ spoon
46
+ bowl
47
+ banana
48
+ apple
49
+ sandwich
50
+ orange
51
+ broccoli
52
+ carrot
53
+ hot dog
54
+ pizza
55
+ donut
56
+ cake
57
+ chair
58
+ sofa
59
+ pottedplant
60
+ bed
61
+ diningtable
62
+ toilet
63
+ tvmonitor
64
+ laptop
65
+ mouse
66
+ remote
67
+ keyboard
68
+ cell phone
69
+ microwave
70
+ oven
71
+ toaster
72
+ sink
73
+ refrigerator
74
+ book
75
+ clock
76
+ vase
77
+ scissors
78
+ teddy bear
79
+ hair drier
80
+ toothbrush
YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.cfg ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dccea06f59b781ec1234ddf8d1e94b9519a97f4245748a7d4db75d5b7080a42c
3
+ size 35434956
YOLO/yolov2-tiny-voc/voc.names ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ aeroplane
2
+ bicycle
3
+ bird
4
+ boat
5
+ bottle
6
+ bus
7
+ car
8
+ cat
9
+ chair
10
+ cow
11
+ diningtable
12
+ dog
13
+ horse
14
+ motorbike
15
+ person
16
+ pottedplant
17
+ sheep
18
+ sofa
19
+ train
20
+ tvmonitor
YOLO/yolov2-tiny-voc/yolov2-tiny-voc.cfg ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ max_batches = 40200
20
+ policy=steps
21
+ steps=-1,100,20000,30000
22
+ scales=.1,10,.1,.1
23
+
24
+ [convolutional]
25
+ batch_normalize=1
26
+ filters=16
27
+ size=3
28
+ stride=1
29
+ pad=1
30
+ activation=leaky
31
+
32
+ [maxpool]
33
+ size=2
34
+ stride=2
35
+
36
+ [convolutional]
37
+ batch_normalize=1
38
+ filters=32
39
+ size=3
40
+ stride=1
41
+ pad=1
42
+ activation=leaky
43
+
44
+ [maxpool]
45
+ size=2
46
+ stride=2
47
+
48
+ [convolutional]
49
+ batch_normalize=1
50
+ filters=64
51
+ size=3
52
+ stride=1
53
+ pad=1
54
+ activation=leaky
55
+
56
+ [maxpool]
57
+ size=2
58
+ stride=2
59
+
60
+ [convolutional]
61
+ batch_normalize=1
62
+ filters=128
63
+ size=3
64
+ stride=1
65
+ pad=1
66
+ activation=leaky
67
+
68
+ [maxpool]
69
+ size=2
70
+ stride=2
71
+
72
+ [convolutional]
73
+ batch_normalize=1
74
+ filters=256
75
+ size=3
76
+ stride=1
77
+ pad=1
78
+ activation=leaky
79
+
80
+ [maxpool]
81
+ size=2
82
+ stride=2
83
+
84
+ [convolutional]
85
+ batch_normalize=1
86
+ filters=512
87
+ size=3
88
+ stride=1
89
+ pad=1
90
+ activation=leaky
91
+
92
+ [maxpool]
93
+ size=2
94
+ stride=1
95
+
96
+ [convolutional]
97
+ batch_normalize=1
98
+ filters=1024
99
+ size=3
100
+ stride=1
101
+ pad=1
102
+ activation=leaky
103
+
104
+ ###########
105
+
106
+ [convolutional]
107
+ batch_normalize=1
108
+ size=3
109
+ stride=1
110
+ pad=1
111
+ filters=1024
112
+ activation=leaky
113
+
114
+ [convolutional]
115
+ size=1
116
+ stride=1
117
+ pad=1
118
+ filters=125
119
+ activation=linear
120
+
121
+ [region]
122
+ anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
123
+ bias_match=1
124
+ classes=20
125
+ coords=4
126
+ num=5
127
+ softmax=1
128
+ jitter=.2
129
+ rescore=1
130
+
131
+ object_scale=5
132
+ noobject_scale=1
133
+ class_scale=1
134
+ coord_scale=1
135
+
136
+ absolute=1
137
+ thresh = .6
138
+ random=1
YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f2f0af3c8915093d43843311ddc34f3b7838da9e9b42171c1adbba15834f196
3
+ size 63471556