Upload 2 files
Browse files
.gitattributes
CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
yolov3-tiny-416-7cls_tp.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
yolov3-tiny-416-7cls_tp.keras filter=lfs diff=lfs merge=lfs -text
|
37 |
+
e2IP-LynxDemo-Dataset_Fruits-v0.2_best.weights filter=lfs diff=lfs merge=lfs -text
|
e2IP-LynxDemo-Dataset_Fruits-v0.2.cfg
ADDED
@@ -0,0 +1,201 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# DarkMark v1.8.27-1 output for Darknet
|
2 |
+
# Project .... .
|
3 |
+
# Config ..... ./e2IP-LynxDemo-Dataset_Fruits-v0.2.cfg
|
4 |
+
# Template ... /opt/darknet/cfg/yolov3-tiny.cfg
|
5 |
+
# Username ... zima@Blue
|
6 |
+
# Timestamp .. Wed 2024-09-04 14:44:40 -04
|
7 |
+
#
|
8 |
+
# WARNING: If you re-generate the darknet files for this project you'll
|
9 |
+
# lose any customizations you are about to make in this file!
|
10 |
+
#
|
11 |
+
|
12 |
+
[net]
|
13 |
+
# Testing
|
14 |
+
batch=64
|
15 |
+
subdivisions=4
|
16 |
+
# Training
|
17 |
+
# batch=64
|
18 |
+
# subdivisions=2
|
19 |
+
width=416
|
20 |
+
height=416
|
21 |
+
channels=3
|
22 |
+
momentum=0.9
|
23 |
+
decay=0.0005
|
24 |
+
angle=0
|
25 |
+
saturation=0.000000
|
26 |
+
exposure=1.500000
|
27 |
+
hue=0.000000
|
28 |
+
|
29 |
+
learning_rate=0.002610
|
30 |
+
burn_in=1000
|
31 |
+
max_batches=20000
|
32 |
+
policy=steps
|
33 |
+
steps=16000,18000
|
34 |
+
scales=.1,.1
|
35 |
+
cutmix=0
|
36 |
+
flip=0
|
37 |
+
max_chart_loss=4.000000
|
38 |
+
mixup=0
|
39 |
+
mosaic=0
|
40 |
+
use_cuda_graph=0
|
41 |
+
|
42 |
+
[convolutional]
|
43 |
+
batch_normalize=1
|
44 |
+
filters=16
|
45 |
+
size=3
|
46 |
+
stride=1
|
47 |
+
pad=1
|
48 |
+
activation=leaky
|
49 |
+
|
50 |
+
[maxpool]
|
51 |
+
size=2
|
52 |
+
stride=2
|
53 |
+
|
54 |
+
[convolutional]
|
55 |
+
batch_normalize=1
|
56 |
+
filters=32
|
57 |
+
size=3
|
58 |
+
stride=1
|
59 |
+
pad=1
|
60 |
+
activation=leaky
|
61 |
+
|
62 |
+
[maxpool]
|
63 |
+
size=2
|
64 |
+
stride=2
|
65 |
+
|
66 |
+
[convolutional]
|
67 |
+
batch_normalize=1
|
68 |
+
filters=64
|
69 |
+
size=3
|
70 |
+
stride=1
|
71 |
+
pad=1
|
72 |
+
activation=leaky
|
73 |
+
|
74 |
+
[maxpool]
|
75 |
+
size=2
|
76 |
+
stride=2
|
77 |
+
|
78 |
+
[convolutional]
|
79 |
+
batch_normalize=1
|
80 |
+
filters=128
|
81 |
+
size=3
|
82 |
+
stride=1
|
83 |
+
pad=1
|
84 |
+
activation=leaky
|
85 |
+
|
86 |
+
[maxpool]
|
87 |
+
size=2
|
88 |
+
stride=2
|
89 |
+
|
90 |
+
[convolutional]
|
91 |
+
batch_normalize=1
|
92 |
+
filters=256
|
93 |
+
size=3
|
94 |
+
stride=1
|
95 |
+
pad=1
|
96 |
+
activation=leaky
|
97 |
+
|
98 |
+
[maxpool]
|
99 |
+
size=2
|
100 |
+
stride=2
|
101 |
+
|
102 |
+
[convolutional]
|
103 |
+
batch_normalize=1
|
104 |
+
filters=512
|
105 |
+
size=3
|
106 |
+
stride=1
|
107 |
+
pad=1
|
108 |
+
activation=leaky
|
109 |
+
|
110 |
+
[maxpool]
|
111 |
+
size=2
|
112 |
+
stride=1
|
113 |
+
|
114 |
+
[convolutional]
|
115 |
+
batch_normalize=1
|
116 |
+
filters=1024
|
117 |
+
size=3
|
118 |
+
stride=1
|
119 |
+
pad=1
|
120 |
+
activation=leaky
|
121 |
+
|
122 |
+
###########
|
123 |
+
|
124 |
+
[convolutional]
|
125 |
+
batch_normalize=1
|
126 |
+
filters=256
|
127 |
+
size=1
|
128 |
+
stride=1
|
129 |
+
pad=1
|
130 |
+
activation=leaky
|
131 |
+
|
132 |
+
[convolutional]
|
133 |
+
batch_normalize=1
|
134 |
+
filters=512
|
135 |
+
size=3
|
136 |
+
stride=1
|
137 |
+
pad=1
|
138 |
+
activation=leaky
|
139 |
+
|
140 |
+
[convolutional]
|
141 |
+
size=1
|
142 |
+
stride=1
|
143 |
+
pad=1
|
144 |
+
filters=36
|
145 |
+
activation=linear
|
146 |
+
|
147 |
+
|
148 |
+
|
149 |
+
[yolo]
|
150 |
+
mask = 3,4,5
|
151 |
+
anchors=42, 42, 72, 72, 114, 114, 240, 144, 143, 243, 308, 305
|
152 |
+
classes=7
|
153 |
+
num=6
|
154 |
+
jitter=.3
|
155 |
+
ignore_thresh = .7
|
156 |
+
truth_thresh = 1
|
157 |
+
random=1
|
158 |
+
counters_per_class=6561, 5966, 45938, 37492, 7372, 2739, 3958
|
159 |
+
|
160 |
+
[route]
|
161 |
+
layers = -4
|
162 |
+
|
163 |
+
[convolutional]
|
164 |
+
batch_normalize=1
|
165 |
+
filters=128
|
166 |
+
size=1
|
167 |
+
stride=1
|
168 |
+
pad=1
|
169 |
+
activation=leaky
|
170 |
+
|
171 |
+
[upsample]
|
172 |
+
stride=2
|
173 |
+
|
174 |
+
[route]
|
175 |
+
layers = -1, 8
|
176 |
+
|
177 |
+
[convolutional]
|
178 |
+
batch_normalize=1
|
179 |
+
filters=256
|
180 |
+
size=3
|
181 |
+
stride=1
|
182 |
+
pad=1
|
183 |
+
activation=leaky
|
184 |
+
|
185 |
+
[convolutional]
|
186 |
+
size=1
|
187 |
+
stride=1
|
188 |
+
pad=1
|
189 |
+
filters=36
|
190 |
+
activation=linear
|
191 |
+
|
192 |
+
[yolo]
|
193 |
+
mask = 0,1,2
|
194 |
+
anchors=42, 42, 72, 72, 114, 114, 240, 144, 143, 243, 308, 305
|
195 |
+
classes=7
|
196 |
+
num=6
|
197 |
+
jitter=.3
|
198 |
+
ignore_thresh = .7
|
199 |
+
truth_thresh = 1
|
200 |
+
random=1
|
201 |
+
counters_per_class=6561, 5966, 45938, 37492, 7372, 2739, 3958
|
e2IP-LynxDemo-Dataset_Fruits-v0.2_best.weights
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b1f0b74b8e55e1e1631ed5d293e8e94f7d51adf93a606e04cb61db92c3d3ecc3
|
3 |
+
size 34760436
|