Yolo v7 weights and cfg
Browse files- .gitattributes +1 -0
- coco.names +80 -0
- yolov7.cfg +1024 -0
- yolov7.weights +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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36 |
+
yolov7.weights filter=lfs diff=lfs merge=lfs -text
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coco.names
ADDED
@@ -0,0 +1,80 @@
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+
person
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+
bicycle
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car
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+
motorbike
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aeroplane
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6 |
+
bus
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7 |
+
train
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8 |
+
truck
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9 |
+
boat
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10 |
+
traffic light
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11 |
+
fire hydrant
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12 |
+
stop sign
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13 |
+
parking meter
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14 |
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bench
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+
bird
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+
cat
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+
dog
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+
horse
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+
sheep
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+
cow
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+
elephant
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+
bear
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+
zebra
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+
giraffe
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+
backpack
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umbrella
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handbag
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+
tie
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suitcase
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frisbee
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skis
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snowboard
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sports ball
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kite
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baseball bat
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+
baseball glove
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skateboard
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surfboard
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tennis racket
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bottle
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wine glass
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cup
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+
fork
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+
knife
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spoon
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+
bowl
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+
banana
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+
apple
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+
sandwich
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+
orange
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+
broccoli
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+
carrot
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+
hot dog
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+
pizza
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+
donut
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+
cake
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+
chair
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+
sofa
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+
pottedplant
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+
bed
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+
diningtable
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+
toilet
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+
tvmonitor
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+
laptop
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+
mouse
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+
remote
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+
keyboard
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+
cell phone
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microwave
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oven
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+
toaster
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sink
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refrigerator
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+
book
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clock
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vase
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scissors
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+
teddy bear
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+
hair drier
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+
toothbrush
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yolov7.cfg
ADDED
@@ -0,0 +1,1024 @@
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1 |
+
[net]
|
2 |
+
# Testing
|
3 |
+
#batch=1
|
4 |
+
#subdivisions=1
|
5 |
+
# Training
|
6 |
+
batch=8
|
7 |
+
subdivisions=1
|
8 |
+
width=640
|
9 |
+
height=640
|
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=0.00261
|
19 |
+
burn_in=1000
|
20 |
+
|
21 |
+
max_batches = 2000200
|
22 |
+
policy=steps
|
23 |
+
steps=1600000,1800000
|
24 |
+
scales=.1,.1
|
25 |
+
|
26 |
+
# 0
|
27 |
+
[convolutional]
|
28 |
+
batch_normalize=1
|
29 |
+
filters=32
|
30 |
+
size=3
|
31 |
+
stride=1
|
32 |
+
pad=1
|
33 |
+
activation=swish
|
34 |
+
|
35 |
+
|
36 |
+
# 1
|
37 |
+
[convolutional]
|
38 |
+
batch_normalize=1
|
39 |
+
filters=64
|
40 |
+
size=3
|
41 |
+
stride=2
|
42 |
+
pad=1
|
43 |
+
activation=swish
|
44 |
+
|
45 |
+
[convolutional]
|
46 |
+
batch_normalize=1
|
47 |
+
filters=64
|
48 |
+
size=3
|
49 |
+
stride=1
|
50 |
+
pad=1
|
51 |
+
activation=swish
|
52 |
+
|
53 |
+
|
54 |
+
# 3
|
55 |
+
[convolutional]
|
56 |
+
batch_normalize=1
|
57 |
+
filters=128
|
58 |
+
size=3
|
59 |
+
stride=2
|
60 |
+
pad=1
|
61 |
+
activation=swish
|
62 |
+
|
63 |
+
[convolutional]
|
64 |
+
batch_normalize=1
|
65 |
+
filters=64
|
66 |
+
size=1
|
67 |
+
stride=1
|
68 |
+
pad=1
|
69 |
+
activation=swish
|
70 |
+
|
71 |
+
[route]
|
72 |
+
layers=-2
|
73 |
+
|
74 |
+
[convolutional]
|
75 |
+
batch_normalize=1
|
76 |
+
filters=64
|
77 |
+
size=1
|
78 |
+
stride=1
|
79 |
+
pad=1
|
80 |
+
activation=swish
|
81 |
+
|
82 |
+
[convolutional]
|
83 |
+
batch_normalize=1
|
84 |
+
filters=64
|
85 |
+
size=3
|
86 |
+
stride=1
|
87 |
+
pad=1
|
88 |
+
activation=swish
|
89 |
+
|
90 |
+
[convolutional]
|
91 |
+
batch_normalize=1
|
92 |
+
filters=64
|
93 |
+
size=3
|
94 |
+
stride=1
|
95 |
+
pad=1
|
96 |
+
activation=swish
|
97 |
+
|
98 |
+
[convolutional]
|
99 |
+
batch_normalize=1
|
100 |
+
filters=64
|
101 |
+
size=3
|
102 |
+
stride=1
|
103 |
+
pad=1
|
104 |
+
activation=swish
|
105 |
+
|
106 |
+
[convolutional]
|
107 |
+
batch_normalize=1
|
108 |
+
filters=64
|
109 |
+
size=3
|
110 |
+
stride=1
|
111 |
+
pad=1
|
112 |
+
activation=swish
|
113 |
+
|
114 |
+
[route]
|
115 |
+
layers = -1,-3,-5,-7
|
116 |
+
|
117 |
+
# 12
|
118 |
+
[convolutional]
|
119 |
+
batch_normalize=1
|
120 |
+
filters=256
|
121 |
+
size=1
|
122 |
+
stride=1
|
123 |
+
pad=1
|
124 |
+
activation=swish
|
125 |
+
|
126 |
+
|
127 |
+
[maxpool]
|
128 |
+
size=2
|
129 |
+
stride=2
|
130 |
+
|
131 |
+
[convolutional]
|
132 |
+
batch_normalize=1
|
133 |
+
filters=128
|
134 |
+
size=1
|
135 |
+
stride=1
|
136 |
+
pad=1
|
137 |
+
activation=swish
|
138 |
+
|
139 |
+
[route]
|
140 |
+
layers=-3
|
141 |
+
|
142 |
+
[convolutional]
|
143 |
+
batch_normalize=1
|
144 |
+
filters=128
|
145 |
+
size=1
|
146 |
+
stride=1
|
147 |
+
pad=1
|
148 |
+
activation=swish
|
149 |
+
|
150 |
+
[convolutional]
|
151 |
+
batch_normalize=1
|
152 |
+
filters=128
|
153 |
+
size=3
|
154 |
+
stride=2
|
155 |
+
pad=1
|
156 |
+
activation=swish
|
157 |
+
|
158 |
+
# 18
|
159 |
+
[route]
|
160 |
+
layers = -1,-4
|
161 |
+
|
162 |
+
[convolutional]
|
163 |
+
batch_normalize=1
|
164 |
+
filters=128
|
165 |
+
size=1
|
166 |
+
stride=1
|
167 |
+
pad=1
|
168 |
+
activation=swish
|
169 |
+
|
170 |
+
[route]
|
171 |
+
layers=-2
|
172 |
+
|
173 |
+
[convolutional]
|
174 |
+
batch_normalize=1
|
175 |
+
filters=128
|
176 |
+
size=1
|
177 |
+
stride=1
|
178 |
+
pad=1
|
179 |
+
activation=swish
|
180 |
+
|
181 |
+
[convolutional]
|
182 |
+
batch_normalize=1
|
183 |
+
filters=128
|
184 |
+
size=3
|
185 |
+
stride=1
|
186 |
+
pad=1
|
187 |
+
activation=swish
|
188 |
+
|
189 |
+
[convolutional]
|
190 |
+
batch_normalize=1
|
191 |
+
filters=128
|
192 |
+
size=3
|
193 |
+
stride=1
|
194 |
+
pad=1
|
195 |
+
activation=swish
|
196 |
+
|
197 |
+
[convolutional]
|
198 |
+
batch_normalize=1
|
199 |
+
filters=128
|
200 |
+
size=3
|
201 |
+
stride=1
|
202 |
+
pad=1
|
203 |
+
activation=swish
|
204 |
+
|
205 |
+
[convolutional]
|
206 |
+
batch_normalize=1
|
207 |
+
filters=128
|
208 |
+
size=3
|
209 |
+
stride=1
|
210 |
+
pad=1
|
211 |
+
activation=swish
|
212 |
+
|
213 |
+
[route]
|
214 |
+
layers = -1,-3,-5,-7
|
215 |
+
|
216 |
+
# 27
|
217 |
+
[convolutional]
|
218 |
+
batch_normalize=1
|
219 |
+
filters=512
|
220 |
+
size=1
|
221 |
+
stride=1
|
222 |
+
pad=1
|
223 |
+
activation=swish
|
224 |
+
|
225 |
+
|
226 |
+
[maxpool]
|
227 |
+
size=2
|
228 |
+
stride=2
|
229 |
+
|
230 |
+
[convolutional]
|
231 |
+
batch_normalize=1
|
232 |
+
filters=256
|
233 |
+
size=1
|
234 |
+
stride=1
|
235 |
+
pad=1
|
236 |
+
activation=swish
|
237 |
+
|
238 |
+
[route]
|
239 |
+
layers=-3
|
240 |
+
|
241 |
+
[convolutional]
|
242 |
+
batch_normalize=1
|
243 |
+
filters=256
|
244 |
+
size=1
|
245 |
+
stride=1
|
246 |
+
pad=1
|
247 |
+
activation=swish
|
248 |
+
|
249 |
+
[convolutional]
|
250 |
+
batch_normalize=1
|
251 |
+
filters=256
|
252 |
+
size=3
|
253 |
+
stride=2
|
254 |
+
pad=1
|
255 |
+
activation=swish
|
256 |
+
|
257 |
+
# 33
|
258 |
+
[route]
|
259 |
+
layers = -1,-4
|
260 |
+
|
261 |
+
[convolutional]
|
262 |
+
batch_normalize=1
|
263 |
+
filters=256
|
264 |
+
size=1
|
265 |
+
stride=1
|
266 |
+
pad=1
|
267 |
+
activation=swish
|
268 |
+
|
269 |
+
[route]
|
270 |
+
layers=-2
|
271 |
+
|
272 |
+
[convolutional]
|
273 |
+
batch_normalize=1
|
274 |
+
filters=256
|
275 |
+
size=1
|
276 |
+
stride=1
|
277 |
+
pad=1
|
278 |
+
activation=swish
|
279 |
+
|
280 |
+
[convolutional]
|
281 |
+
batch_normalize=1
|
282 |
+
filters=256
|
283 |
+
size=3
|
284 |
+
stride=1
|
285 |
+
pad=1
|
286 |
+
activation=swish
|
287 |
+
|
288 |
+
[convolutional]
|
289 |
+
batch_normalize=1
|
290 |
+
filters=256
|
291 |
+
size=3
|
292 |
+
stride=1
|
293 |
+
pad=1
|
294 |
+
activation=swish
|
295 |
+
|
296 |
+
[convolutional]
|
297 |
+
batch_normalize=1
|
298 |
+
filters=256
|
299 |
+
size=3
|
300 |
+
stride=1
|
301 |
+
pad=1
|
302 |
+
activation=swish
|
303 |
+
|
304 |
+
[convolutional]
|
305 |
+
batch_normalize=1
|
306 |
+
filters=256
|
307 |
+
size=3
|
308 |
+
stride=1
|
309 |
+
pad=1
|
310 |
+
activation=swish
|
311 |
+
|
312 |
+
[route]
|
313 |
+
layers = -1,-3,-5,-7
|
314 |
+
|
315 |
+
# 42
|
316 |
+
[convolutional]
|
317 |
+
batch_normalize=1
|
318 |
+
filters=1024
|
319 |
+
size=1
|
320 |
+
stride=1
|
321 |
+
pad=1
|
322 |
+
activation=swish
|
323 |
+
|
324 |
+
|
325 |
+
[maxpool]
|
326 |
+
size=2
|
327 |
+
stride=2
|
328 |
+
|
329 |
+
[convolutional]
|
330 |
+
batch_normalize=1
|
331 |
+
filters=512
|
332 |
+
size=1
|
333 |
+
stride=1
|
334 |
+
pad=1
|
335 |
+
activation=swish
|
336 |
+
|
337 |
+
[route]
|
338 |
+
layers=-3
|
339 |
+
|
340 |
+
[convolutional]
|
341 |
+
batch_normalize=1
|
342 |
+
filters=512
|
343 |
+
size=1
|
344 |
+
stride=1
|
345 |
+
pad=1
|
346 |
+
activation=swish
|
347 |
+
|
348 |
+
[convolutional]
|
349 |
+
batch_normalize=1
|
350 |
+
filters=512
|
351 |
+
size=3
|
352 |
+
stride=2
|
353 |
+
pad=1
|
354 |
+
activation=swish
|
355 |
+
|
356 |
+
# 48
|
357 |
+
[route]
|
358 |
+
layers = -1,-4
|
359 |
+
|
360 |
+
[convolutional]
|
361 |
+
batch_normalize=1
|
362 |
+
filters=256
|
363 |
+
size=1
|
364 |
+
stride=1
|
365 |
+
pad=1
|
366 |
+
activation=swish
|
367 |
+
|
368 |
+
[route]
|
369 |
+
layers=-2
|
370 |
+
|
371 |
+
[convolutional]
|
372 |
+
batch_normalize=1
|
373 |
+
filters=256
|
374 |
+
size=1
|
375 |
+
stride=1
|
376 |
+
pad=1
|
377 |
+
activation=swish
|
378 |
+
|
379 |
+
[convolutional]
|
380 |
+
batch_normalize=1
|
381 |
+
filters=256
|
382 |
+
size=3
|
383 |
+
stride=1
|
384 |
+
pad=1
|
385 |
+
activation=swish
|
386 |
+
|
387 |
+
[convolutional]
|
388 |
+
batch_normalize=1
|
389 |
+
filters=256
|
390 |
+
size=3
|
391 |
+
stride=1
|
392 |
+
pad=1
|
393 |
+
activation=swish
|
394 |
+
|
395 |
+
[convolutional]
|
396 |
+
batch_normalize=1
|
397 |
+
filters=256
|
398 |
+
size=3
|
399 |
+
stride=1
|
400 |
+
pad=1
|
401 |
+
activation=swish
|
402 |
+
|
403 |
+
[convolutional]
|
404 |
+
batch_normalize=1
|
405 |
+
filters=256
|
406 |
+
size=3
|
407 |
+
stride=1
|
408 |
+
pad=1
|
409 |
+
activation=swish
|
410 |
+
|
411 |
+
[route]
|
412 |
+
layers = -1,-3,-5,-7
|
413 |
+
|
414 |
+
# 57
|
415 |
+
[convolutional]
|
416 |
+
batch_normalize=1
|
417 |
+
filters=1024
|
418 |
+
size=1
|
419 |
+
stride=1
|
420 |
+
pad=1
|
421 |
+
activation=swish
|
422 |
+
|
423 |
+
##################################
|
424 |
+
|
425 |
+
### SPPCSP ###
|
426 |
+
[convolutional]
|
427 |
+
batch_normalize=1
|
428 |
+
filters=512
|
429 |
+
size=1
|
430 |
+
stride=1
|
431 |
+
pad=1
|
432 |
+
activation=swish
|
433 |
+
|
434 |
+
[route]
|
435 |
+
layers = -2
|
436 |
+
|
437 |
+
[convolutional]
|
438 |
+
batch_normalize=1
|
439 |
+
filters=512
|
440 |
+
size=1
|
441 |
+
stride=1
|
442 |
+
pad=1
|
443 |
+
activation=swish
|
444 |
+
|
445 |
+
[convolutional]
|
446 |
+
batch_normalize=1
|
447 |
+
size=3
|
448 |
+
stride=1
|
449 |
+
pad=1
|
450 |
+
filters=512
|
451 |
+
activation=swish
|
452 |
+
|
453 |
+
[convolutional]
|
454 |
+
batch_normalize=1
|
455 |
+
filters=512
|
456 |
+
size=1
|
457 |
+
stride=1
|
458 |
+
pad=1
|
459 |
+
activation=swish
|
460 |
+
|
461 |
+
### SPP ###
|
462 |
+
[maxpool]
|
463 |
+
stride=1
|
464 |
+
size=5
|
465 |
+
|
466 |
+
[route]
|
467 |
+
layers=-2
|
468 |
+
|
469 |
+
[maxpool]
|
470 |
+
stride=1
|
471 |
+
size=9
|
472 |
+
|
473 |
+
[route]
|
474 |
+
layers=-4
|
475 |
+
|
476 |
+
[maxpool]
|
477 |
+
stride=1
|
478 |
+
size=13
|
479 |
+
|
480 |
+
[route]
|
481 |
+
layers=-6,-5,-3,-1
|
482 |
+
### End SPP ###
|
483 |
+
|
484 |
+
[convolutional]
|
485 |
+
batch_normalize=1
|
486 |
+
filters=512
|
487 |
+
size=1
|
488 |
+
stride=1
|
489 |
+
pad=1
|
490 |
+
activation=swish
|
491 |
+
|
492 |
+
[convolutional]
|
493 |
+
batch_normalize=1
|
494 |
+
size=3
|
495 |
+
stride=1
|
496 |
+
pad=1
|
497 |
+
filters=512
|
498 |
+
activation=swish
|
499 |
+
|
500 |
+
[route]
|
501 |
+
layers = -1, -13
|
502 |
+
|
503 |
+
# 72
|
504 |
+
[convolutional]
|
505 |
+
batch_normalize=1
|
506 |
+
filters=512
|
507 |
+
size=1
|
508 |
+
stride=1
|
509 |
+
pad=1
|
510 |
+
activation=swish
|
511 |
+
### End SPPCSP ###
|
512 |
+
|
513 |
+
|
514 |
+
[convolutional]
|
515 |
+
batch_normalize=1
|
516 |
+
filters=256
|
517 |
+
size=1
|
518 |
+
stride=1
|
519 |
+
pad=1
|
520 |
+
activation=swish
|
521 |
+
|
522 |
+
[upsample]
|
523 |
+
stride=2
|
524 |
+
|
525 |
+
[route]
|
526 |
+
layers = 42
|
527 |
+
|
528 |
+
[convolutional]
|
529 |
+
batch_normalize=1
|
530 |
+
filters=256
|
531 |
+
size=1
|
532 |
+
stride=1
|
533 |
+
pad=1
|
534 |
+
activation=swish
|
535 |
+
|
536 |
+
[route]
|
537 |
+
layers = -1,-3
|
538 |
+
|
539 |
+
|
540 |
+
[convolutional]
|
541 |
+
batch_normalize=1
|
542 |
+
filters=256
|
543 |
+
size=1
|
544 |
+
stride=1
|
545 |
+
pad=1
|
546 |
+
activation=swish
|
547 |
+
|
548 |
+
[route]
|
549 |
+
layers=-2
|
550 |
+
|
551 |
+
[convolutional]
|
552 |
+
batch_normalize=1
|
553 |
+
filters=256
|
554 |
+
size=1
|
555 |
+
stride=1
|
556 |
+
pad=1
|
557 |
+
activation=swish
|
558 |
+
|
559 |
+
[convolutional]
|
560 |
+
batch_normalize=1
|
561 |
+
filters=128
|
562 |
+
size=3
|
563 |
+
stride=1
|
564 |
+
pad=1
|
565 |
+
activation=swish
|
566 |
+
|
567 |
+
[convolutional]
|
568 |
+
batch_normalize=1
|
569 |
+
filters=128
|
570 |
+
size=3
|
571 |
+
stride=1
|
572 |
+
pad=1
|
573 |
+
activation=swish
|
574 |
+
|
575 |
+
[convolutional]
|
576 |
+
batch_normalize=1
|
577 |
+
filters=128
|
578 |
+
size=3
|
579 |
+
stride=1
|
580 |
+
pad=1
|
581 |
+
activation=swish
|
582 |
+
|
583 |
+
[convolutional]
|
584 |
+
batch_normalize=1
|
585 |
+
filters=128
|
586 |
+
size=3
|
587 |
+
stride=1
|
588 |
+
pad=1
|
589 |
+
activation=swish
|
590 |
+
|
591 |
+
[route]
|
592 |
+
layers = -1,-2,-3,-4,-5,-7
|
593 |
+
|
594 |
+
# 86
|
595 |
+
[convolutional]
|
596 |
+
batch_normalize=1
|
597 |
+
filters=256
|
598 |
+
size=1
|
599 |
+
stride=1
|
600 |
+
pad=1
|
601 |
+
activation=swish
|
602 |
+
|
603 |
+
|
604 |
+
[convolutional]
|
605 |
+
batch_normalize=1
|
606 |
+
filters=128
|
607 |
+
size=1
|
608 |
+
stride=1
|
609 |
+
pad=1
|
610 |
+
activation=swish
|
611 |
+
|
612 |
+
[upsample]
|
613 |
+
stride=2
|
614 |
+
|
615 |
+
[route]
|
616 |
+
layers = 27
|
617 |
+
|
618 |
+
[convolutional]
|
619 |
+
batch_normalize=1
|
620 |
+
filters=128
|
621 |
+
size=1
|
622 |
+
stride=1
|
623 |
+
pad=1
|
624 |
+
activation=swish
|
625 |
+
|
626 |
+
[route]
|
627 |
+
layers = -1,-3
|
628 |
+
|
629 |
+
|
630 |
+
[convolutional]
|
631 |
+
batch_normalize=1
|
632 |
+
filters=128
|
633 |
+
size=1
|
634 |
+
stride=1
|
635 |
+
pad=1
|
636 |
+
activation=swish
|
637 |
+
|
638 |
+
[route]
|
639 |
+
layers=-2
|
640 |
+
|
641 |
+
[convolutional]
|
642 |
+
batch_normalize=1
|
643 |
+
filters=128
|
644 |
+
size=1
|
645 |
+
stride=1
|
646 |
+
pad=1
|
647 |
+
activation=swish
|
648 |
+
|
649 |
+
[convolutional]
|
650 |
+
batch_normalize=1
|
651 |
+
filters=64
|
652 |
+
size=3
|
653 |
+
stride=1
|
654 |
+
pad=1
|
655 |
+
activation=swish
|
656 |
+
|
657 |
+
[convolutional]
|
658 |
+
batch_normalize=1
|
659 |
+
filters=64
|
660 |
+
size=3
|
661 |
+
stride=1
|
662 |
+
pad=1
|
663 |
+
activation=swish
|
664 |
+
|
665 |
+
[convolutional]
|
666 |
+
batch_normalize=1
|
667 |
+
filters=64
|
668 |
+
size=3
|
669 |
+
stride=1
|
670 |
+
pad=1
|
671 |
+
activation=swish
|
672 |
+
|
673 |
+
[convolutional]
|
674 |
+
batch_normalize=1
|
675 |
+
filters=64
|
676 |
+
size=3
|
677 |
+
stride=1
|
678 |
+
pad=1
|
679 |
+
activation=swish
|
680 |
+
|
681 |
+
[route]
|
682 |
+
layers = -1,-2,-3,-4,-5,-7
|
683 |
+
|
684 |
+
# 100
|
685 |
+
[convolutional]
|
686 |
+
batch_normalize=1
|
687 |
+
filters=128
|
688 |
+
size=1
|
689 |
+
stride=1
|
690 |
+
pad=1
|
691 |
+
activation=swish
|
692 |
+
|
693 |
+
|
694 |
+
[maxpool]
|
695 |
+
size=2
|
696 |
+
stride=2
|
697 |
+
|
698 |
+
[convolutional]
|
699 |
+
batch_normalize=1
|
700 |
+
filters=128
|
701 |
+
size=1
|
702 |
+
stride=1
|
703 |
+
pad=1
|
704 |
+
activation=swish
|
705 |
+
|
706 |
+
[route]
|
707 |
+
layers=-3
|
708 |
+
|
709 |
+
[convolutional]
|
710 |
+
batch_normalize=1
|
711 |
+
filters=128
|
712 |
+
size=1
|
713 |
+
stride=1
|
714 |
+
pad=1
|
715 |
+
activation=swish
|
716 |
+
|
717 |
+
[convolutional]
|
718 |
+
batch_normalize=1
|
719 |
+
filters=128
|
720 |
+
size=3
|
721 |
+
stride=2
|
722 |
+
pad=1
|
723 |
+
activation=swish
|
724 |
+
|
725 |
+
[route]
|
726 |
+
layers = -1,-4,86
|
727 |
+
|
728 |
+
|
729 |
+
[convolutional]
|
730 |
+
batch_normalize=1
|
731 |
+
filters=256
|
732 |
+
size=1
|
733 |
+
stride=1
|
734 |
+
pad=1
|
735 |
+
activation=swish
|
736 |
+
|
737 |
+
[route]
|
738 |
+
layers=-2
|
739 |
+
|
740 |
+
[convolutional]
|
741 |
+
batch_normalize=1
|
742 |
+
filters=256
|
743 |
+
size=1
|
744 |
+
stride=1
|
745 |
+
pad=1
|
746 |
+
activation=swish
|
747 |
+
|
748 |
+
[convolutional]
|
749 |
+
batch_normalize=1
|
750 |
+
filters=128
|
751 |
+
size=3
|
752 |
+
stride=1
|
753 |
+
pad=1
|
754 |
+
activation=swish
|
755 |
+
|
756 |
+
[convolutional]
|
757 |
+
batch_normalize=1
|
758 |
+
filters=128
|
759 |
+
size=3
|
760 |
+
stride=1
|
761 |
+
pad=1
|
762 |
+
activation=swish
|
763 |
+
|
764 |
+
[convolutional]
|
765 |
+
batch_normalize=1
|
766 |
+
filters=128
|
767 |
+
size=3
|
768 |
+
stride=1
|
769 |
+
pad=1
|
770 |
+
activation=swish
|
771 |
+
|
772 |
+
[convolutional]
|
773 |
+
batch_normalize=1
|
774 |
+
filters=128
|
775 |
+
size=3
|
776 |
+
stride=1
|
777 |
+
pad=1
|
778 |
+
activation=swish
|
779 |
+
|
780 |
+
[route]
|
781 |
+
layers = -1,-2,-3,-4,-5,-7
|
782 |
+
|
783 |
+
# 115
|
784 |
+
[convolutional]
|
785 |
+
batch_normalize=1
|
786 |
+
filters=256
|
787 |
+
size=1
|
788 |
+
stride=1
|
789 |
+
pad=1
|
790 |
+
activation=swish
|
791 |
+
|
792 |
+
|
793 |
+
[maxpool]
|
794 |
+
size=2
|
795 |
+
stride=2
|
796 |
+
|
797 |
+
[convolutional]
|
798 |
+
batch_normalize=1
|
799 |
+
filters=256
|
800 |
+
size=1
|
801 |
+
stride=1
|
802 |
+
pad=1
|
803 |
+
activation=swish
|
804 |
+
|
805 |
+
[route]
|
806 |
+
layers=-3
|
807 |
+
|
808 |
+
[convolutional]
|
809 |
+
batch_normalize=1
|
810 |
+
filters=256
|
811 |
+
size=1
|
812 |
+
stride=1
|
813 |
+
pad=1
|
814 |
+
activation=swish
|
815 |
+
|
816 |
+
[convolutional]
|
817 |
+
batch_normalize=1
|
818 |
+
filters=256
|
819 |
+
size=3
|
820 |
+
stride=2
|
821 |
+
pad=1
|
822 |
+
activation=swish
|
823 |
+
|
824 |
+
[route]
|
825 |
+
layers = -1,-4,72
|
826 |
+
|
827 |
+
|
828 |
+
[convolutional]
|
829 |
+
batch_normalize=1
|
830 |
+
filters=512
|
831 |
+
size=1
|
832 |
+
stride=1
|
833 |
+
pad=1
|
834 |
+
activation=swish
|
835 |
+
|
836 |
+
[route]
|
837 |
+
layers=-2
|
838 |
+
|
839 |
+
[convolutional]
|
840 |
+
batch_normalize=1
|
841 |
+
filters=512
|
842 |
+
size=1
|
843 |
+
stride=1
|
844 |
+
pad=1
|
845 |
+
activation=swish
|
846 |
+
|
847 |
+
[convolutional]
|
848 |
+
batch_normalize=1
|
849 |
+
filters=256
|
850 |
+
size=3
|
851 |
+
stride=1
|
852 |
+
pad=1
|
853 |
+
activation=swish
|
854 |
+
|
855 |
+
[convolutional]
|
856 |
+
batch_normalize=1
|
857 |
+
filters=256
|
858 |
+
size=3
|
859 |
+
stride=1
|
860 |
+
pad=1
|
861 |
+
activation=swish
|
862 |
+
|
863 |
+
[convolutional]
|
864 |
+
batch_normalize=1
|
865 |
+
filters=256
|
866 |
+
size=3
|
867 |
+
stride=1
|
868 |
+
pad=1
|
869 |
+
activation=swish
|
870 |
+
|
871 |
+
[convolutional]
|
872 |
+
batch_normalize=1
|
873 |
+
filters=256
|
874 |
+
size=3
|
875 |
+
stride=1
|
876 |
+
pad=1
|
877 |
+
activation=swish
|
878 |
+
|
879 |
+
[route]
|
880 |
+
layers = -1,-2,-3,-4,-5,-7
|
881 |
+
|
882 |
+
# 130
|
883 |
+
[convolutional]
|
884 |
+
batch_normalize=1
|
885 |
+
filters=512
|
886 |
+
size=1
|
887 |
+
stride=1
|
888 |
+
pad=1
|
889 |
+
activation=swish
|
890 |
+
|
891 |
+
#############################
|
892 |
+
|
893 |
+
# ============ End of Neck ============ #
|
894 |
+
|
895 |
+
# ============ Head ============ #
|
896 |
+
|
897 |
+
|
898 |
+
# P3
|
899 |
+
[route]
|
900 |
+
layers = 100
|
901 |
+
|
902 |
+
[convolutional]
|
903 |
+
batch_normalize=1
|
904 |
+
size=3
|
905 |
+
stride=1
|
906 |
+
pad=1
|
907 |
+
filters=256
|
908 |
+
activation=swish
|
909 |
+
|
910 |
+
[convolutional]
|
911 |
+
size=1
|
912 |
+
stride=1
|
913 |
+
pad=1
|
914 |
+
filters=255
|
915 |
+
#activation=linear
|
916 |
+
activation=logistic
|
917 |
+
|
918 |
+
[yolo]
|
919 |
+
mask = 0,1,2
|
920 |
+
anchors = 12,16, 19,36, 40,28, 36,75, 76,55, 72,146, 142,110, 192,243, 459,401
|
921 |
+
classes=80
|
922 |
+
num=9
|
923 |
+
jitter=.1
|
924 |
+
scale_x_y = 2.0
|
925 |
+
objectness_smooth=1
|
926 |
+
ignore_thresh = .7
|
927 |
+
truth_thresh = 1
|
928 |
+
#random=1
|
929 |
+
resize=1.5
|
930 |
+
iou_thresh=0.2
|
931 |
+
iou_normalizer=0.05
|
932 |
+
cls_normalizer=0.5
|
933 |
+
obj_normalizer=1.0
|
934 |
+
iou_loss=ciou
|
935 |
+
nms_kind=diounms
|
936 |
+
beta_nms=0.6
|
937 |
+
new_coords=1
|
938 |
+
max_delta=2
|
939 |
+
|
940 |
+
|
941 |
+
# P4
|
942 |
+
[route]
|
943 |
+
layers = 115
|
944 |
+
|
945 |
+
[convolutional]
|
946 |
+
batch_normalize=1
|
947 |
+
size=3
|
948 |
+
stride=1
|
949 |
+
pad=1
|
950 |
+
filters=512
|
951 |
+
activation=swish
|
952 |
+
|
953 |
+
[convolutional]
|
954 |
+
size=1
|
955 |
+
stride=1
|
956 |
+
pad=1
|
957 |
+
filters=255
|
958 |
+
#activation=linear
|
959 |
+
activation=logistic
|
960 |
+
|
961 |
+
[yolo]
|
962 |
+
mask = 3,4,5
|
963 |
+
anchors = 12,16, 19,36, 40,28, 36,75, 76,55, 72,146, 142,110, 192,243, 459,401
|
964 |
+
classes=80
|
965 |
+
num=9
|
966 |
+
jitter=.1
|
967 |
+
scale_x_y = 2.0
|
968 |
+
objectness_smooth=1
|
969 |
+
ignore_thresh = .7
|
970 |
+
truth_thresh = 1
|
971 |
+
#random=1
|
972 |
+
resize=1.5
|
973 |
+
iou_thresh=0.2
|
974 |
+
iou_normalizer=0.05
|
975 |
+
cls_normalizer=0.5
|
976 |
+
obj_normalizer=1.0
|
977 |
+
iou_loss=ciou
|
978 |
+
nms_kind=diounms
|
979 |
+
beta_nms=0.6
|
980 |
+
new_coords=1
|
981 |
+
max_delta=2
|
982 |
+
|
983 |
+
|
984 |
+
# P5
|
985 |
+
[route]
|
986 |
+
layers = 130
|
987 |
+
|
988 |
+
[convolutional]
|
989 |
+
batch_normalize=1
|
990 |
+
size=3
|
991 |
+
stride=1
|
992 |
+
pad=1
|
993 |
+
filters=1024
|
994 |
+
activation=swish
|
995 |
+
|
996 |
+
[convolutional]
|
997 |
+
size=1
|
998 |
+
stride=1
|
999 |
+
pad=1
|
1000 |
+
filters=255
|
1001 |
+
#activation=linear
|
1002 |
+
activation=logistic
|
1003 |
+
|
1004 |
+
[yolo]
|
1005 |
+
mask = 6,7,8
|
1006 |
+
anchors = 12,16, 19,36, 40,28, 36,75, 76,55, 72,146, 142,110, 192,243, 459,401
|
1007 |
+
classes=80
|
1008 |
+
num=9
|
1009 |
+
jitter=.1
|
1010 |
+
scale_x_y = 2.0
|
1011 |
+
objectness_smooth=1
|
1012 |
+
ignore_thresh = .7
|
1013 |
+
truth_thresh = 1
|
1014 |
+
#random=1
|
1015 |
+
resize=1.5
|
1016 |
+
iou_thresh=0.2
|
1017 |
+
iou_normalizer=0.05
|
1018 |
+
cls_normalizer=0.5
|
1019 |
+
obj_normalizer=1.0
|
1020 |
+
iou_loss=ciou
|
1021 |
+
nms_kind=diounms
|
1022 |
+
beta_nms=0.6
|
1023 |
+
new_coords=1
|
1024 |
+
max_delta=2
|
yolov7.weights
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ecf7ca13ec5039ec7b79b0f25b156fda5eaf819d6c2bb6828ba55fe4f928332
|
3 |
+
size 147898248
|