Upload configs and label names
Browse files- driving/bdd100k.names +10 -0
- driving/lightnet-driving-1280x960.cfg +915 -0
- driving/lightnet-driving-640x640.cfg +917 -0
- face/lightnet-face-1024x768.cfg +909 -0
- face/lightnet_face-640x640.cfg +908 -0
- face/wider_face.names +1 -0
- head_body/crowdhuman.names +2 -0
- head_body/lightnet-head_body-1024x768.cfg +909 -0
- head_body/lightnet-head_body-640x640.cfg +909 -0
driving/bdd100k.names
ADDED
@@ -0,0 +1,10 @@
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+
car
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+
bus
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+
person
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bike
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truck
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motor
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+
train
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+
rider
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traffic_sign
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+
traffic_light
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driving/lightnet-driving-1280x960.cfg
ADDED
@@ -0,0 +1,915 @@
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1 |
+
[net]
|
2 |
+
batch=256
|
3 |
+
subdivisions=64
|
4 |
+
width=1280
|
5 |
+
height=960
|
6 |
+
channels=3
|
7 |
+
momentum=0.9
|
8 |
+
decay=0.0005
|
9 |
+
angle=0
|
10 |
+
saturation = 1.5
|
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+
exposure = 1.5
|
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+
hue=.1
|
13 |
+
|
14 |
+
learning_rate=0.001
|
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+
burn_in=500
|
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+
max_batches = 10000
|
17 |
+
policy=steps
|
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+
|
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+
steps=500,2000,4000,8000
|
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+
scales=.5,.5,.5,.5
|
21 |
+
gaussian_noise=1
|
22 |
+
flip=1
|
23 |
+
|
24 |
+
#sparse=1 : 2:4 structured sparsity
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25 |
+
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26 |
+
[convolutional]
|
27 |
+
batch_normalize=1
|
28 |
+
filters=32
|
29 |
+
size=3
|
30 |
+
stride=2
|
31 |
+
pad=1
|
32 |
+
activation=relu
|
33 |
+
|
34 |
+
[convolutional]
|
35 |
+
sparse=1
|
36 |
+
batch_normalize=1
|
37 |
+
filters=64
|
38 |
+
size=3
|
39 |
+
stride=2
|
40 |
+
pad=1
|
41 |
+
activation=relu
|
42 |
+
|
43 |
+
[convolutional]
|
44 |
+
sparse=1
|
45 |
+
batch_normalize=1
|
46 |
+
filters=32
|
47 |
+
size=1
|
48 |
+
stride=1
|
49 |
+
pad=1
|
50 |
+
activation=relu
|
51 |
+
|
52 |
+
[route]
|
53 |
+
layers=-2
|
54 |
+
|
55 |
+
[convolutional]
|
56 |
+
sparse=1
|
57 |
+
batch_normalize=1
|
58 |
+
filters=32
|
59 |
+
size=1
|
60 |
+
stride=1
|
61 |
+
pad=1
|
62 |
+
activation=relu
|
63 |
+
|
64 |
+
[convolutional]
|
65 |
+
sparse=1
|
66 |
+
batch_normalize=1
|
67 |
+
filters=32
|
68 |
+
size=3
|
69 |
+
stride=1
|
70 |
+
pad=1
|
71 |
+
activation=relu
|
72 |
+
|
73 |
+
[convolutional]
|
74 |
+
sparse=1
|
75 |
+
batch_normalize=1
|
76 |
+
filters=32
|
77 |
+
size=3
|
78 |
+
stride=1
|
79 |
+
pad=1
|
80 |
+
activation=relu
|
81 |
+
|
82 |
+
[convolutional]
|
83 |
+
sparse=1
|
84 |
+
batch_normalize=1
|
85 |
+
filters=32
|
86 |
+
size=3
|
87 |
+
stride=1
|
88 |
+
pad=1
|
89 |
+
activation=relu
|
90 |
+
|
91 |
+
[convolutional]
|
92 |
+
sparse=1
|
93 |
+
batch_normalize=1
|
94 |
+
filters=32
|
95 |
+
size=3
|
96 |
+
stride=1
|
97 |
+
pad=1
|
98 |
+
activation=relu
|
99 |
+
|
100 |
+
[route]
|
101 |
+
layers = -1,-3,-5,-7
|
102 |
+
|
103 |
+
[convolutional]
|
104 |
+
sparse=1
|
105 |
+
batch_normalize=1
|
106 |
+
filters=64
|
107 |
+
size=1
|
108 |
+
stride=1
|
109 |
+
pad=1
|
110 |
+
activation=relu
|
111 |
+
|
112 |
+
[convolutional]
|
113 |
+
sparse=1
|
114 |
+
batch_normalize=1
|
115 |
+
filters=64
|
116 |
+
size=3
|
117 |
+
stride=2
|
118 |
+
pad=1
|
119 |
+
activation=relu
|
120 |
+
|
121 |
+
|
122 |
+
[convolutional]
|
123 |
+
sparse=1
|
124 |
+
batch_normalize=1
|
125 |
+
filters=64
|
126 |
+
size=1
|
127 |
+
stride=1
|
128 |
+
pad=1
|
129 |
+
activation=relu
|
130 |
+
|
131 |
+
[route]
|
132 |
+
layers=-2
|
133 |
+
|
134 |
+
[convolutional]
|
135 |
+
sparse=1
|
136 |
+
batch_normalize=1
|
137 |
+
filters=64
|
138 |
+
size=1
|
139 |
+
stride=1
|
140 |
+
pad=1
|
141 |
+
activation=relu
|
142 |
+
|
143 |
+
[convolutional]
|
144 |
+
sparse=1
|
145 |
+
batch_normalize=1
|
146 |
+
filters=64
|
147 |
+
size=3
|
148 |
+
stride=1
|
149 |
+
pad=1
|
150 |
+
activation=relu
|
151 |
+
|
152 |
+
[convolutional]
|
153 |
+
sparse=1
|
154 |
+
batch_normalize=1
|
155 |
+
filters=64
|
156 |
+
size=3
|
157 |
+
stride=1
|
158 |
+
pad=1
|
159 |
+
activation=relu
|
160 |
+
|
161 |
+
[convolutional]
|
162 |
+
sparse=1
|
163 |
+
batch_normalize=1
|
164 |
+
filters=64
|
165 |
+
size=3
|
166 |
+
stride=1
|
167 |
+
pad=1
|
168 |
+
activation=relu
|
169 |
+
|
170 |
+
[convolutional]
|
171 |
+
sparse=1
|
172 |
+
batch_normalize=1
|
173 |
+
filters=64
|
174 |
+
size=3
|
175 |
+
stride=1
|
176 |
+
pad=1
|
177 |
+
activation=relu
|
178 |
+
|
179 |
+
[route]
|
180 |
+
layers = -1,-3,-5,-7
|
181 |
+
|
182 |
+
[convolutional]
|
183 |
+
sparse=1
|
184 |
+
batch_normalize=1
|
185 |
+
filters=128
|
186 |
+
size=1
|
187 |
+
stride=1
|
188 |
+
pad=1
|
189 |
+
activation=relu
|
190 |
+
|
191 |
+
[convolutional]
|
192 |
+
sparse=1
|
193 |
+
batch_normalize=1
|
194 |
+
filters=128
|
195 |
+
size=3
|
196 |
+
stride=2
|
197 |
+
pad=1
|
198 |
+
activation=relu
|
199 |
+
|
200 |
+
[convolutional]
|
201 |
+
sparse=1
|
202 |
+
batch_normalize=1
|
203 |
+
filters=128
|
204 |
+
size=1
|
205 |
+
stride=1
|
206 |
+
pad=1
|
207 |
+
activation=relu
|
208 |
+
|
209 |
+
[route]
|
210 |
+
layers=-2
|
211 |
+
|
212 |
+
[convolutional]
|
213 |
+
sparse=1
|
214 |
+
batch_normalize=1
|
215 |
+
filters=128
|
216 |
+
size=1
|
217 |
+
stride=1
|
218 |
+
pad=1
|
219 |
+
activation=relu
|
220 |
+
|
221 |
+
[convolutional]
|
222 |
+
sparse=1
|
223 |
+
batch_normalize=1
|
224 |
+
filters=128
|
225 |
+
size=3
|
226 |
+
stride=1
|
227 |
+
pad=1
|
228 |
+
activation=relu
|
229 |
+
|
230 |
+
[convolutional]
|
231 |
+
sparse=1
|
232 |
+
batch_normalize=1
|
233 |
+
filters=128
|
234 |
+
size=3
|
235 |
+
stride=1
|
236 |
+
pad=1
|
237 |
+
activation=relu
|
238 |
+
|
239 |
+
[convolutional]
|
240 |
+
sparse=1
|
241 |
+
batch_normalize=1
|
242 |
+
filters=128
|
243 |
+
size=3
|
244 |
+
stride=1
|
245 |
+
pad=1
|
246 |
+
activation=relu
|
247 |
+
|
248 |
+
[convolutional]
|
249 |
+
sparse=1
|
250 |
+
batch_normalize=1
|
251 |
+
filters=128
|
252 |
+
size=3
|
253 |
+
stride=1
|
254 |
+
pad=1
|
255 |
+
activation=relu
|
256 |
+
|
257 |
+
[route]
|
258 |
+
layers = -1,-3,-5,-7
|
259 |
+
|
260 |
+
[convolutional]
|
261 |
+
sparse=1
|
262 |
+
batch_normalize=1
|
263 |
+
filters=256
|
264 |
+
size=1
|
265 |
+
stride=1
|
266 |
+
pad=1
|
267 |
+
activation=relu
|
268 |
+
|
269 |
+
[convolutional]
|
270 |
+
sparse=1
|
271 |
+
batch_normalize=1
|
272 |
+
filters=256
|
273 |
+
size=3
|
274 |
+
stride=2
|
275 |
+
pad=1
|
276 |
+
activation=relu
|
277 |
+
|
278 |
+
[convolutional]
|
279 |
+
sparse=1
|
280 |
+
batch_normalize=1
|
281 |
+
filters=256
|
282 |
+
size=1
|
283 |
+
stride=1
|
284 |
+
pad=1
|
285 |
+
activation=relu
|
286 |
+
|
287 |
+
[route]
|
288 |
+
layers=-2
|
289 |
+
|
290 |
+
[convolutional]
|
291 |
+
sparse=1
|
292 |
+
batch_normalize=1
|
293 |
+
filters=256
|
294 |
+
size=1
|
295 |
+
stride=1
|
296 |
+
pad=1
|
297 |
+
activation=relu
|
298 |
+
|
299 |
+
[convolutional]
|
300 |
+
sparse=1
|
301 |
+
batch_normalize=1
|
302 |
+
filters=256
|
303 |
+
size=3
|
304 |
+
stride=1
|
305 |
+
pad=1
|
306 |
+
activation=relu
|
307 |
+
|
308 |
+
[convolutional]
|
309 |
+
sparse=1
|
310 |
+
batch_normalize=1
|
311 |
+
filters=256
|
312 |
+
size=3
|
313 |
+
stride=1
|
314 |
+
pad=1
|
315 |
+
activation=relu
|
316 |
+
|
317 |
+
[convolutional]
|
318 |
+
sparse=1
|
319 |
+
batch_normalize=1
|
320 |
+
filters=256
|
321 |
+
size=3
|
322 |
+
stride=1
|
323 |
+
pad=1
|
324 |
+
activation=relu
|
325 |
+
|
326 |
+
[convolutional]
|
327 |
+
sparse=1
|
328 |
+
batch_normalize=1
|
329 |
+
filters=256
|
330 |
+
size=3
|
331 |
+
stride=1
|
332 |
+
pad=1
|
333 |
+
activation=relu
|
334 |
+
|
335 |
+
[route]
|
336 |
+
layers = -1,-3,-5,-7
|
337 |
+
|
338 |
+
[convolutional]
|
339 |
+
sparse=1
|
340 |
+
batch_normalize=1
|
341 |
+
filters=512
|
342 |
+
size=1
|
343 |
+
stride=1
|
344 |
+
pad=1
|
345 |
+
activation=relu
|
346 |
+
|
347 |
+
|
348 |
+
##################################
|
349 |
+
|
350 |
+
### ASPPCSP ###
|
351 |
+
[convolutional]
|
352 |
+
sparse=1
|
353 |
+
batch_normalize=1
|
354 |
+
filters=256
|
355 |
+
size=1
|
356 |
+
stride=1
|
357 |
+
pad=1
|
358 |
+
activation=relu
|
359 |
+
|
360 |
+
[route]
|
361 |
+
layers = -2
|
362 |
+
|
363 |
+
[convolutional]
|
364 |
+
sparse=1
|
365 |
+
batch_normalize=1
|
366 |
+
filters=256
|
367 |
+
size=1
|
368 |
+
stride=1
|
369 |
+
pad=1
|
370 |
+
activation=relu
|
371 |
+
|
372 |
+
### ASPP ###
|
373 |
+
[convolutional]
|
374 |
+
sparse=1
|
375 |
+
batch_normalize=1
|
376 |
+
filters=256
|
377 |
+
size=1
|
378 |
+
stride=1
|
379 |
+
pad=1
|
380 |
+
dilation=1
|
381 |
+
activation=relu
|
382 |
+
|
383 |
+
[route]
|
384 |
+
layers=-2
|
385 |
+
|
386 |
+
[convolutional]
|
387 |
+
sparse=1
|
388 |
+
batch_normalize=1
|
389 |
+
filters=256
|
390 |
+
size=1
|
391 |
+
stride=1
|
392 |
+
pad=1
|
393 |
+
dilation=3
|
394 |
+
activation=relu
|
395 |
+
|
396 |
+
[route]
|
397 |
+
layers=-4
|
398 |
+
|
399 |
+
[convolutional]
|
400 |
+
sparse=1
|
401 |
+
batch_normalize=1
|
402 |
+
filters=256
|
403 |
+
size=1
|
404 |
+
stride=1
|
405 |
+
pad=1
|
406 |
+
dilation=5
|
407 |
+
activation=relu
|
408 |
+
|
409 |
+
[route]
|
410 |
+
layers=-1,-3,-5,-6
|
411 |
+
### End ASPP ###
|
412 |
+
|
413 |
+
[convolutional]
|
414 |
+
sparse=1
|
415 |
+
batch_normalize=1
|
416 |
+
filters=256
|
417 |
+
size=1
|
418 |
+
stride=1
|
419 |
+
pad=1
|
420 |
+
activation=relu
|
421 |
+
|
422 |
+
[route]
|
423 |
+
layers = -10,-1
|
424 |
+
|
425 |
+
# 44
|
426 |
+
[convolutional]
|
427 |
+
sparse=1
|
428 |
+
batch_normalize=1
|
429 |
+
filters=256
|
430 |
+
size=1
|
431 |
+
stride=1
|
432 |
+
pad=1
|
433 |
+
activation=relu
|
434 |
+
### End ASPPCSP ###
|
435 |
+
|
436 |
+
[convolutional]
|
437 |
+
sparse=1
|
438 |
+
batch_normalize=1
|
439 |
+
filters=128
|
440 |
+
size=1
|
441 |
+
stride=1
|
442 |
+
pad=1
|
443 |
+
activation=relu
|
444 |
+
|
445 |
+
[upsample]
|
446 |
+
stride=2
|
447 |
+
|
448 |
+
[route]
|
449 |
+
layers = 30
|
450 |
+
|
451 |
+
[convolutional]
|
452 |
+
sparse=1
|
453 |
+
batch_normalize=1
|
454 |
+
filters=128
|
455 |
+
size=1
|
456 |
+
stride=1
|
457 |
+
pad=1
|
458 |
+
activation=relu
|
459 |
+
|
460 |
+
[route]
|
461 |
+
layers = -1,-3
|
462 |
+
|
463 |
+
[convolutional]
|
464 |
+
sparse=1
|
465 |
+
batch_normalize=1
|
466 |
+
filters=64
|
467 |
+
size=1
|
468 |
+
stride=1
|
469 |
+
pad=1
|
470 |
+
activation=relu
|
471 |
+
|
472 |
+
[route]
|
473 |
+
layers=-2
|
474 |
+
|
475 |
+
[convolutional]
|
476 |
+
sparse=1
|
477 |
+
batch_normalize=1
|
478 |
+
filters=64
|
479 |
+
size=1
|
480 |
+
stride=1
|
481 |
+
pad=1
|
482 |
+
activation=relu
|
483 |
+
|
484 |
+
[convolutional]
|
485 |
+
sparse=1
|
486 |
+
batch_normalize=1
|
487 |
+
filters=64
|
488 |
+
size=3
|
489 |
+
stride=1
|
490 |
+
pad=1
|
491 |
+
activation=relu
|
492 |
+
|
493 |
+
[convolutional]
|
494 |
+
sparse=1
|
495 |
+
batch_normalize=1
|
496 |
+
filters=64
|
497 |
+
size=3
|
498 |
+
stride=1
|
499 |
+
pad=1
|
500 |
+
activation=relu
|
501 |
+
|
502 |
+
[convolutional]
|
503 |
+
sparse=1
|
504 |
+
batch_normalize=1
|
505 |
+
filters=64
|
506 |
+
size=3
|
507 |
+
stride=1
|
508 |
+
pad=1
|
509 |
+
activation=relu
|
510 |
+
|
511 |
+
[convolutional]
|
512 |
+
sparse=1
|
513 |
+
batch_normalize=1
|
514 |
+
filters=64
|
515 |
+
size=3
|
516 |
+
stride=1
|
517 |
+
pad=1
|
518 |
+
activation=relu
|
519 |
+
|
520 |
+
[route]
|
521 |
+
layers = -1,-3,-5,-7
|
522 |
+
|
523 |
+
|
524 |
+
# 56
|
525 |
+
[convolutional]
|
526 |
+
sparse=1
|
527 |
+
batch_normalize=1
|
528 |
+
filters=128
|
529 |
+
size=1
|
530 |
+
stride=1
|
531 |
+
pad=1
|
532 |
+
activation=relu
|
533 |
+
|
534 |
+
[convolutional]
|
535 |
+
sparse=1
|
536 |
+
batch_normalize=1
|
537 |
+
filters=64
|
538 |
+
size=1
|
539 |
+
stride=1
|
540 |
+
pad=1
|
541 |
+
activation=relu
|
542 |
+
|
543 |
+
[upsample]
|
544 |
+
stride=2
|
545 |
+
|
546 |
+
[route]
|
547 |
+
layers = 20
|
548 |
+
|
549 |
+
[convolutional]
|
550 |
+
sparse=1
|
551 |
+
batch_normalize=1
|
552 |
+
filters=64
|
553 |
+
size=1
|
554 |
+
stride=1
|
555 |
+
pad=1
|
556 |
+
activation=relu
|
557 |
+
|
558 |
+
[route]
|
559 |
+
layers = -1,-3
|
560 |
+
|
561 |
+
[convolutional]
|
562 |
+
sparse=1
|
563 |
+
batch_normalize=1
|
564 |
+
filters=32
|
565 |
+
size=1
|
566 |
+
stride=1
|
567 |
+
pad=1
|
568 |
+
activation=relu
|
569 |
+
|
570 |
+
[route]
|
571 |
+
layers=-2
|
572 |
+
|
573 |
+
[convolutional]
|
574 |
+
sparse=1
|
575 |
+
batch_normalize=1
|
576 |
+
filters=32
|
577 |
+
size=1
|
578 |
+
stride=1
|
579 |
+
pad=1
|
580 |
+
activation=relu
|
581 |
+
|
582 |
+
[convolutional]
|
583 |
+
sparse=1
|
584 |
+
batch_normalize=1
|
585 |
+
filters=32
|
586 |
+
size=3
|
587 |
+
stride=1
|
588 |
+
pad=1
|
589 |
+
activation=relu
|
590 |
+
|
591 |
+
[convolutional]
|
592 |
+
sparse=1
|
593 |
+
batch_normalize=1
|
594 |
+
filters=32
|
595 |
+
size=3
|
596 |
+
stride=1
|
597 |
+
pad=1
|
598 |
+
activation=relu
|
599 |
+
|
600 |
+
[convolutional]
|
601 |
+
sparse=1
|
602 |
+
batch_normalize=1
|
603 |
+
filters=32
|
604 |
+
size=3
|
605 |
+
stride=1
|
606 |
+
pad=1
|
607 |
+
activation=relu
|
608 |
+
|
609 |
+
[convolutional]
|
610 |
+
sparse=1
|
611 |
+
batch_normalize=1
|
612 |
+
filters=32
|
613 |
+
size=3
|
614 |
+
stride=1
|
615 |
+
pad=1
|
616 |
+
activation=relu
|
617 |
+
|
618 |
+
[route]
|
619 |
+
layers = -1,-3,-5,-7
|
620 |
+
|
621 |
+
[convolutional]
|
622 |
+
sparse=1
|
623 |
+
batch_normalize=1
|
624 |
+
filters=64
|
625 |
+
size=1
|
626 |
+
stride=1
|
627 |
+
pad=1
|
628 |
+
activation=relu
|
629 |
+
|
630 |
+
|
631 |
+
[convolutional]
|
632 |
+
sparse=1
|
633 |
+
batch_normalize=1
|
634 |
+
size=3
|
635 |
+
stride=2
|
636 |
+
pad=1
|
637 |
+
filters=128
|
638 |
+
activation=relu
|
639 |
+
|
640 |
+
[route]
|
641 |
+
layers = -1,67
|
642 |
+
|
643 |
+
[convolutional]
|
644 |
+
sparse=1
|
645 |
+
batch_normalize=1
|
646 |
+
filters=64
|
647 |
+
size=1
|
648 |
+
stride=1
|
649 |
+
pad=1
|
650 |
+
activation=relu
|
651 |
+
|
652 |
+
[route]
|
653 |
+
layers=-2
|
654 |
+
|
655 |
+
[convolutional]
|
656 |
+
sparse=1
|
657 |
+
batch_normalize=1
|
658 |
+
filters=64
|
659 |
+
size=1
|
660 |
+
stride=1
|
661 |
+
pad=1
|
662 |
+
activation=relu
|
663 |
+
|
664 |
+
[convolutional]
|
665 |
+
sparse=1
|
666 |
+
batch_normalize=1
|
667 |
+
filters=64
|
668 |
+
size=3
|
669 |
+
stride=1
|
670 |
+
pad=1
|
671 |
+
activation=relu
|
672 |
+
|
673 |
+
[convolutional]
|
674 |
+
sparse=1
|
675 |
+
batch_normalize=1
|
676 |
+
filters=64
|
677 |
+
size=3
|
678 |
+
stride=1
|
679 |
+
pad=1
|
680 |
+
activation=relu
|
681 |
+
|
682 |
+
[convolutional]
|
683 |
+
sparse=1
|
684 |
+
batch_normalize=1
|
685 |
+
filters=64
|
686 |
+
size=3
|
687 |
+
stride=1
|
688 |
+
pad=1
|
689 |
+
activation=relu
|
690 |
+
|
691 |
+
[convolutional]
|
692 |
+
sparse=1
|
693 |
+
batch_normalize=1
|
694 |
+
filters=64
|
695 |
+
size=3
|
696 |
+
stride=1
|
697 |
+
pad=1
|
698 |
+
activation=relu
|
699 |
+
|
700 |
+
[route]
|
701 |
+
layers = -1,-3,-5,-7
|
702 |
+
|
703 |
+
[convolutional]
|
704 |
+
sparse=1
|
705 |
+
batch_normalize=1
|
706 |
+
filters=128
|
707 |
+
size=1
|
708 |
+
stride=1
|
709 |
+
pad=1
|
710 |
+
activation=relu
|
711 |
+
|
712 |
+
[convolutional]
|
713 |
+
sparse=1
|
714 |
+
batch_normalize=1
|
715 |
+
size=3
|
716 |
+
stride=2
|
717 |
+
pad=1
|
718 |
+
filters=256
|
719 |
+
activation=relu
|
720 |
+
|
721 |
+
[route]
|
722 |
+
layers = -1,53
|
723 |
+
|
724 |
+
[convolutional]
|
725 |
+
sparse=1
|
726 |
+
batch_normalize=1
|
727 |
+
filters=128
|
728 |
+
size=1
|
729 |
+
stride=1
|
730 |
+
pad=1
|
731 |
+
activation=relu
|
732 |
+
|
733 |
+
[route]
|
734 |
+
layers=-2
|
735 |
+
|
736 |
+
[convolutional]
|
737 |
+
sparse=1
|
738 |
+
batch_normalize=1
|
739 |
+
filters=128
|
740 |
+
size=1
|
741 |
+
stride=1
|
742 |
+
pad=1
|
743 |
+
activation=relu
|
744 |
+
|
745 |
+
[convolutional]
|
746 |
+
sparse=1
|
747 |
+
batch_normalize=1
|
748 |
+
filters=128
|
749 |
+
size=3
|
750 |
+
stride=1
|
751 |
+
pad=1
|
752 |
+
activation=relu
|
753 |
+
|
754 |
+
[convolutional]
|
755 |
+
sparse=1
|
756 |
+
batch_normalize=1
|
757 |
+
filters=128
|
758 |
+
size=3
|
759 |
+
stride=1
|
760 |
+
pad=1
|
761 |
+
activation=relu
|
762 |
+
|
763 |
+
[convolutional]
|
764 |
+
sparse=1
|
765 |
+
batch_normalize=1
|
766 |
+
filters=128
|
767 |
+
size=3
|
768 |
+
stride=1
|
769 |
+
pad=1
|
770 |
+
activation=relu
|
771 |
+
|
772 |
+
[convolutional]
|
773 |
+
sparse=1
|
774 |
+
batch_normalize=1
|
775 |
+
filters=128
|
776 |
+
size=3
|
777 |
+
stride=1
|
778 |
+
pad=1
|
779 |
+
activation=relu
|
780 |
+
|
781 |
+
[route]
|
782 |
+
layers = -1,-3,-5,-7
|
783 |
+
|
784 |
+
[convolutional]
|
785 |
+
sparse=1
|
786 |
+
batch_normalize=1
|
787 |
+
filters=256
|
788 |
+
size=1
|
789 |
+
stride=1
|
790 |
+
pad=1
|
791 |
+
activation=relu
|
792 |
+
|
793 |
+
#############################
|
794 |
+
|
795 |
+
# ============ End of Neck ============ #
|
796 |
+
|
797 |
+
# ============ Head ============ #
|
798 |
+
|
799 |
+
|
800 |
+
# P3
|
801 |
+
[route]
|
802 |
+
layers = 80
|
803 |
+
|
804 |
+
[convolutional]
|
805 |
+
sparse=1
|
806 |
+
batch_normalize=1
|
807 |
+
size=3
|
808 |
+
stride=1
|
809 |
+
pad=1
|
810 |
+
filters=128
|
811 |
+
activation=relu
|
812 |
+
|
813 |
+
[convolutional]
|
814 |
+
#sparse=1
|
815 |
+
size=1
|
816 |
+
stride=1
|
817 |
+
pad=1
|
818 |
+
filters=45
|
819 |
+
#activation=linear
|
820 |
+
activation=logistic
|
821 |
+
|
822 |
+
[yolo]
|
823 |
+
mask = 0,1,2
|
824 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
825 |
+
classes=10
|
826 |
+
num=9
|
827 |
+
jitter=.3
|
828 |
+
scale_x_y = 2.0
|
829 |
+
ignore_thresh = .5
|
830 |
+
truth_thresh = 1
|
831 |
+
#random=1
|
832 |
+
resize=1.5
|
833 |
+
new_coords=1
|
834 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
835 |
+
cls_normalizer=0.25
|
836 |
+
iou_normalizer=0.05
|
837 |
+
iou_loss=ciou
|
838 |
+
|
839 |
+
# P4
|
840 |
+
[route]
|
841 |
+
layers = 91
|
842 |
+
|
843 |
+
[convolutional]
|
844 |
+
sparse=1
|
845 |
+
batch_normalize=1
|
846 |
+
size=3
|
847 |
+
stride=1
|
848 |
+
pad=1
|
849 |
+
filters=256
|
850 |
+
activation=relu
|
851 |
+
|
852 |
+
[convolutional]
|
853 |
+
#sparse=1
|
854 |
+
size=1
|
855 |
+
stride=1
|
856 |
+
pad=1
|
857 |
+
filters=45
|
858 |
+
#activation=linear
|
859 |
+
activation=logistic
|
860 |
+
|
861 |
+
[yolo]
|
862 |
+
mask = 3,4,5
|
863 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
864 |
+
classes=10
|
865 |
+
num=9
|
866 |
+
jitter=.3
|
867 |
+
scale_x_y = 2.0
|
868 |
+
ignore_thresh = .5
|
869 |
+
truth_thresh = 1
|
870 |
+
resize=1.5
|
871 |
+
new_coords=1
|
872 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
873 |
+
cls_normalizer=0.25
|
874 |
+
iou_normalizer=0.05
|
875 |
+
iou_loss=ciou
|
876 |
+
|
877 |
+
|
878 |
+
# P5
|
879 |
+
[route]
|
880 |
+
layers = 102
|
881 |
+
|
882 |
+
[convolutional]
|
883 |
+
sparse=1
|
884 |
+
batch_normalize=1
|
885 |
+
size=3
|
886 |
+
stride=1
|
887 |
+
pad=1
|
888 |
+
filters=512
|
889 |
+
activation=relu
|
890 |
+
|
891 |
+
[convolutional]
|
892 |
+
#sparse=1
|
893 |
+
size=1
|
894 |
+
stride=1
|
895 |
+
pad=1
|
896 |
+
filters=45
|
897 |
+
#activation=linear
|
898 |
+
activation=logistic
|
899 |
+
|
900 |
+
[yolo]
|
901 |
+
mask = 6,7,8
|
902 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
903 |
+
classes=10
|
904 |
+
num=9
|
905 |
+
jitter=.3
|
906 |
+
scale_x_y = 2.0
|
907 |
+
ignore_thresh = .5
|
908 |
+
truth_thresh = 1
|
909 |
+
resize=1.5
|
910 |
+
new_coords=1
|
911 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
912 |
+
cls_normalizer=0.25
|
913 |
+
iou_normalizer=0.05
|
914 |
+
iou_loss=ciou
|
915 |
+
|
driving/lightnet-driving-640x640.cfg
ADDED
@@ -0,0 +1,917 @@
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|
1 |
+
[net]
|
2 |
+
batch=8
|
3 |
+
# subdivisions=1
|
4 |
+
# width=1280
|
5 |
+
# height=960
|
6 |
+
width = 640
|
7 |
+
height = 640
|
8 |
+
channels=3
|
9 |
+
momentum=0.9
|
10 |
+
decay=0.0005
|
11 |
+
angle=0
|
12 |
+
saturation = 1.5
|
13 |
+
exposure = 1.5
|
14 |
+
hue=.1
|
15 |
+
|
16 |
+
learning_rate=0.001
|
17 |
+
burn_in=500
|
18 |
+
max_batches = 2625000
|
19 |
+
policy=steps
|
20 |
+
|
21 |
+
steps=437500, 875000, 1312500, 1750000
|
22 |
+
scales=.5,.5,.5,.5
|
23 |
+
gaussian_noise=1
|
24 |
+
flip=1
|
25 |
+
|
26 |
+
##sparse=1 : 2:4 structured sparsity
|
27 |
+
|
28 |
+
[convolutional]
|
29 |
+
batch_normalize=1
|
30 |
+
filters=32
|
31 |
+
size=3
|
32 |
+
stride=2
|
33 |
+
pad=1
|
34 |
+
activation=relu
|
35 |
+
|
36 |
+
[convolutional]
|
37 |
+
#sparse=1
|
38 |
+
batch_normalize=1
|
39 |
+
filters=64
|
40 |
+
size=3
|
41 |
+
stride=2
|
42 |
+
pad=1
|
43 |
+
activation=relu
|
44 |
+
|
45 |
+
[convolutional]
|
46 |
+
#sparse=1
|
47 |
+
batch_normalize=1
|
48 |
+
filters=32
|
49 |
+
size=1
|
50 |
+
stride=1
|
51 |
+
pad=1
|
52 |
+
activation=relu
|
53 |
+
|
54 |
+
[route]
|
55 |
+
layers=-2
|
56 |
+
|
57 |
+
[convolutional]
|
58 |
+
#sparse=1
|
59 |
+
batch_normalize=1
|
60 |
+
filters=32
|
61 |
+
size=1
|
62 |
+
stride=1
|
63 |
+
pad=1
|
64 |
+
activation=relu
|
65 |
+
|
66 |
+
[convolutional]
|
67 |
+
#sparse=1
|
68 |
+
batch_normalize=1
|
69 |
+
filters=32
|
70 |
+
size=3
|
71 |
+
stride=1
|
72 |
+
pad=1
|
73 |
+
activation=relu
|
74 |
+
|
75 |
+
[convolutional]
|
76 |
+
#sparse=1
|
77 |
+
batch_normalize=1
|
78 |
+
filters=32
|
79 |
+
size=3
|
80 |
+
stride=1
|
81 |
+
pad=1
|
82 |
+
activation=relu
|
83 |
+
|
84 |
+
[convolutional]
|
85 |
+
#sparse=1
|
86 |
+
batch_normalize=1
|
87 |
+
filters=32
|
88 |
+
size=3
|
89 |
+
stride=1
|
90 |
+
pad=1
|
91 |
+
activation=relu
|
92 |
+
|
93 |
+
[convolutional]
|
94 |
+
#sparse=1
|
95 |
+
batch_normalize=1
|
96 |
+
filters=32
|
97 |
+
size=3
|
98 |
+
stride=1
|
99 |
+
pad=1
|
100 |
+
activation=relu
|
101 |
+
|
102 |
+
[route]
|
103 |
+
layers = -1,-3,-5,-7
|
104 |
+
|
105 |
+
[convolutional]
|
106 |
+
#sparse=1
|
107 |
+
batch_normalize=1
|
108 |
+
filters=64
|
109 |
+
size=1
|
110 |
+
stride=1
|
111 |
+
pad=1
|
112 |
+
activation=relu
|
113 |
+
|
114 |
+
[convolutional]
|
115 |
+
#sparse=1
|
116 |
+
batch_normalize=1
|
117 |
+
filters=64
|
118 |
+
size=3
|
119 |
+
stride=2
|
120 |
+
pad=1
|
121 |
+
activation=relu
|
122 |
+
|
123 |
+
|
124 |
+
[convolutional]
|
125 |
+
#sparse=1
|
126 |
+
batch_normalize=1
|
127 |
+
filters=64
|
128 |
+
size=1
|
129 |
+
stride=1
|
130 |
+
pad=1
|
131 |
+
activation=relu
|
132 |
+
|
133 |
+
[route]
|
134 |
+
layers=-2
|
135 |
+
|
136 |
+
[convolutional]
|
137 |
+
#sparse=1
|
138 |
+
batch_normalize=1
|
139 |
+
filters=64
|
140 |
+
size=1
|
141 |
+
stride=1
|
142 |
+
pad=1
|
143 |
+
activation=relu
|
144 |
+
|
145 |
+
[convolutional]
|
146 |
+
#sparse=1
|
147 |
+
batch_normalize=1
|
148 |
+
filters=64
|
149 |
+
size=3
|
150 |
+
stride=1
|
151 |
+
pad=1
|
152 |
+
activation=relu
|
153 |
+
|
154 |
+
[convolutional]
|
155 |
+
#sparse=1
|
156 |
+
batch_normalize=1
|
157 |
+
filters=64
|
158 |
+
size=3
|
159 |
+
stride=1
|
160 |
+
pad=1
|
161 |
+
activation=relu
|
162 |
+
|
163 |
+
[convolutional]
|
164 |
+
#sparse=1
|
165 |
+
batch_normalize=1
|
166 |
+
filters=64
|
167 |
+
size=3
|
168 |
+
stride=1
|
169 |
+
pad=1
|
170 |
+
activation=relu
|
171 |
+
|
172 |
+
[convolutional]
|
173 |
+
#sparse=1
|
174 |
+
batch_normalize=1
|
175 |
+
filters=64
|
176 |
+
size=3
|
177 |
+
stride=1
|
178 |
+
pad=1
|
179 |
+
activation=relu
|
180 |
+
|
181 |
+
[route]
|
182 |
+
layers = -1,-3,-5,-7
|
183 |
+
|
184 |
+
[convolutional]
|
185 |
+
#sparse=1
|
186 |
+
batch_normalize=1
|
187 |
+
filters=128
|
188 |
+
size=1
|
189 |
+
stride=1
|
190 |
+
pad=1
|
191 |
+
activation=relu
|
192 |
+
|
193 |
+
[convolutional]
|
194 |
+
#sparse=1
|
195 |
+
batch_normalize=1
|
196 |
+
filters=128
|
197 |
+
size=3
|
198 |
+
stride=2
|
199 |
+
pad=1
|
200 |
+
activation=relu
|
201 |
+
|
202 |
+
[convolutional]
|
203 |
+
#sparse=1
|
204 |
+
batch_normalize=1
|
205 |
+
filters=128
|
206 |
+
size=1
|
207 |
+
stride=1
|
208 |
+
pad=1
|
209 |
+
activation=relu
|
210 |
+
|
211 |
+
[route]
|
212 |
+
layers=-2
|
213 |
+
|
214 |
+
[convolutional]
|
215 |
+
#sparse=1
|
216 |
+
batch_normalize=1
|
217 |
+
filters=128
|
218 |
+
size=1
|
219 |
+
stride=1
|
220 |
+
pad=1
|
221 |
+
activation=relu
|
222 |
+
|
223 |
+
[convolutional]
|
224 |
+
#sparse=1
|
225 |
+
batch_normalize=1
|
226 |
+
filters=128
|
227 |
+
size=3
|
228 |
+
stride=1
|
229 |
+
pad=1
|
230 |
+
activation=relu
|
231 |
+
|
232 |
+
[convolutional]
|
233 |
+
#sparse=1
|
234 |
+
batch_normalize=1
|
235 |
+
filters=128
|
236 |
+
size=3
|
237 |
+
stride=1
|
238 |
+
pad=1
|
239 |
+
activation=relu
|
240 |
+
|
241 |
+
[convolutional]
|
242 |
+
#sparse=1
|
243 |
+
batch_normalize=1
|
244 |
+
filters=128
|
245 |
+
size=3
|
246 |
+
stride=1
|
247 |
+
pad=1
|
248 |
+
activation=relu
|
249 |
+
|
250 |
+
[convolutional]
|
251 |
+
#sparse=1
|
252 |
+
batch_normalize=1
|
253 |
+
filters=128
|
254 |
+
size=3
|
255 |
+
stride=1
|
256 |
+
pad=1
|
257 |
+
activation=relu
|
258 |
+
|
259 |
+
[route]
|
260 |
+
layers = -1,-3,-5,-7
|
261 |
+
|
262 |
+
[convolutional]
|
263 |
+
#sparse=1
|
264 |
+
batch_normalize=1
|
265 |
+
filters=256
|
266 |
+
size=1
|
267 |
+
stride=1
|
268 |
+
pad=1
|
269 |
+
activation=relu
|
270 |
+
|
271 |
+
[convolutional]
|
272 |
+
#sparse=1
|
273 |
+
batch_normalize=1
|
274 |
+
filters=256
|
275 |
+
size=3
|
276 |
+
stride=2
|
277 |
+
pad=1
|
278 |
+
activation=relu
|
279 |
+
|
280 |
+
[convolutional]
|
281 |
+
#sparse=1
|
282 |
+
batch_normalize=1
|
283 |
+
filters=256
|
284 |
+
size=1
|
285 |
+
stride=1
|
286 |
+
pad=1
|
287 |
+
activation=relu
|
288 |
+
|
289 |
+
[route]
|
290 |
+
layers=-2
|
291 |
+
|
292 |
+
[convolutional]
|
293 |
+
#sparse=1
|
294 |
+
batch_normalize=1
|
295 |
+
filters=256
|
296 |
+
size=1
|
297 |
+
stride=1
|
298 |
+
pad=1
|
299 |
+
activation=relu
|
300 |
+
|
301 |
+
[convolutional]
|
302 |
+
#sparse=1
|
303 |
+
batch_normalize=1
|
304 |
+
filters=256
|
305 |
+
size=3
|
306 |
+
stride=1
|
307 |
+
pad=1
|
308 |
+
activation=relu
|
309 |
+
|
310 |
+
[convolutional]
|
311 |
+
#sparse=1
|
312 |
+
batch_normalize=1
|
313 |
+
filters=256
|
314 |
+
size=3
|
315 |
+
stride=1
|
316 |
+
pad=1
|
317 |
+
activation=relu
|
318 |
+
|
319 |
+
[convolutional]
|
320 |
+
#sparse=1
|
321 |
+
batch_normalize=1
|
322 |
+
filters=256
|
323 |
+
size=3
|
324 |
+
stride=1
|
325 |
+
pad=1
|
326 |
+
activation=relu
|
327 |
+
|
328 |
+
[convolutional]
|
329 |
+
#sparse=1
|
330 |
+
batch_normalize=1
|
331 |
+
filters=256
|
332 |
+
size=3
|
333 |
+
stride=1
|
334 |
+
pad=1
|
335 |
+
activation=relu
|
336 |
+
|
337 |
+
[route]
|
338 |
+
layers = -1,-3,-5,-7
|
339 |
+
|
340 |
+
[convolutional]
|
341 |
+
#sparse=1
|
342 |
+
batch_normalize=1
|
343 |
+
filters=512
|
344 |
+
size=1
|
345 |
+
stride=1
|
346 |
+
pad=1
|
347 |
+
activation=relu
|
348 |
+
|
349 |
+
|
350 |
+
##################################
|
351 |
+
|
352 |
+
### ASPPCSP ###
|
353 |
+
[convolutional]
|
354 |
+
#sparse=1
|
355 |
+
batch_normalize=1
|
356 |
+
filters=256
|
357 |
+
size=1
|
358 |
+
stride=1
|
359 |
+
pad=1
|
360 |
+
activation=relu
|
361 |
+
|
362 |
+
[route]
|
363 |
+
layers = -2
|
364 |
+
|
365 |
+
[convolutional]
|
366 |
+
#sparse=1
|
367 |
+
batch_normalize=1
|
368 |
+
filters=256
|
369 |
+
size=1
|
370 |
+
stride=1
|
371 |
+
pad=1
|
372 |
+
activation=relu
|
373 |
+
|
374 |
+
### ASPP ###
|
375 |
+
[convolutional]
|
376 |
+
#sparse=1
|
377 |
+
batch_normalize=1
|
378 |
+
filters=256
|
379 |
+
size=1
|
380 |
+
stride=1
|
381 |
+
pad=1
|
382 |
+
dilation=1
|
383 |
+
activation=relu
|
384 |
+
|
385 |
+
[route]
|
386 |
+
layers=-2
|
387 |
+
|
388 |
+
[convolutional]
|
389 |
+
#sparse=1
|
390 |
+
batch_normalize=1
|
391 |
+
filters=256
|
392 |
+
size=1
|
393 |
+
stride=1
|
394 |
+
pad=1
|
395 |
+
dilation=3
|
396 |
+
activation=relu
|
397 |
+
|
398 |
+
[route]
|
399 |
+
layers=-4
|
400 |
+
|
401 |
+
[convolutional]
|
402 |
+
#sparse=1
|
403 |
+
batch_normalize=1
|
404 |
+
filters=256
|
405 |
+
size=1
|
406 |
+
stride=1
|
407 |
+
pad=1
|
408 |
+
dilation=5
|
409 |
+
activation=relu
|
410 |
+
|
411 |
+
[route]
|
412 |
+
layers=-1,-3,-5,-6
|
413 |
+
### End ASPP ###
|
414 |
+
|
415 |
+
[convolutional]
|
416 |
+
#sparse=1
|
417 |
+
batch_normalize=1
|
418 |
+
filters=256
|
419 |
+
size=1
|
420 |
+
stride=1
|
421 |
+
pad=1
|
422 |
+
activation=relu
|
423 |
+
|
424 |
+
[route]
|
425 |
+
layers = -10,-1
|
426 |
+
|
427 |
+
# 44
|
428 |
+
[convolutional]
|
429 |
+
#sparse=1
|
430 |
+
batch_normalize=1
|
431 |
+
filters=256
|
432 |
+
size=1
|
433 |
+
stride=1
|
434 |
+
pad=1
|
435 |
+
activation=relu
|
436 |
+
### End ASPPCSP ###
|
437 |
+
|
438 |
+
[convolutional]
|
439 |
+
#sparse=1
|
440 |
+
batch_normalize=1
|
441 |
+
filters=128
|
442 |
+
size=1
|
443 |
+
stride=1
|
444 |
+
pad=1
|
445 |
+
activation=relu
|
446 |
+
|
447 |
+
[upsample]
|
448 |
+
stride=2
|
449 |
+
|
450 |
+
[route]
|
451 |
+
layers = 30
|
452 |
+
|
453 |
+
[convolutional]
|
454 |
+
#sparse=1
|
455 |
+
batch_normalize=1
|
456 |
+
filters=128
|
457 |
+
size=1
|
458 |
+
stride=1
|
459 |
+
pad=1
|
460 |
+
activation=relu
|
461 |
+
|
462 |
+
[route]
|
463 |
+
layers = -1,-3
|
464 |
+
|
465 |
+
[convolutional]
|
466 |
+
#sparse=1
|
467 |
+
batch_normalize=1
|
468 |
+
filters=64
|
469 |
+
size=1
|
470 |
+
stride=1
|
471 |
+
pad=1
|
472 |
+
activation=relu
|
473 |
+
|
474 |
+
[route]
|
475 |
+
layers=-2
|
476 |
+
|
477 |
+
[convolutional]
|
478 |
+
#sparse=1
|
479 |
+
batch_normalize=1
|
480 |
+
filters=64
|
481 |
+
size=1
|
482 |
+
stride=1
|
483 |
+
pad=1
|
484 |
+
activation=relu
|
485 |
+
|
486 |
+
[convolutional]
|
487 |
+
#sparse=1
|
488 |
+
batch_normalize=1
|
489 |
+
filters=64
|
490 |
+
size=3
|
491 |
+
stride=1
|
492 |
+
pad=1
|
493 |
+
activation=relu
|
494 |
+
|
495 |
+
[convolutional]
|
496 |
+
#sparse=1
|
497 |
+
batch_normalize=1
|
498 |
+
filters=64
|
499 |
+
size=3
|
500 |
+
stride=1
|
501 |
+
pad=1
|
502 |
+
activation=relu
|
503 |
+
|
504 |
+
[convolutional]
|
505 |
+
#sparse=1
|
506 |
+
batch_normalize=1
|
507 |
+
filters=64
|
508 |
+
size=3
|
509 |
+
stride=1
|
510 |
+
pad=1
|
511 |
+
activation=relu
|
512 |
+
|
513 |
+
[convolutional]
|
514 |
+
#sparse=1
|
515 |
+
batch_normalize=1
|
516 |
+
filters=64
|
517 |
+
size=3
|
518 |
+
stride=1
|
519 |
+
pad=1
|
520 |
+
activation=relu
|
521 |
+
|
522 |
+
[route]
|
523 |
+
layers = -1,-3,-5,-7
|
524 |
+
|
525 |
+
|
526 |
+
# 56
|
527 |
+
[convolutional]
|
528 |
+
#sparse=1
|
529 |
+
batch_normalize=1
|
530 |
+
filters=128
|
531 |
+
size=1
|
532 |
+
stride=1
|
533 |
+
pad=1
|
534 |
+
activation=relu
|
535 |
+
|
536 |
+
[convolutional]
|
537 |
+
#sparse=1
|
538 |
+
batch_normalize=1
|
539 |
+
filters=64
|
540 |
+
size=1
|
541 |
+
stride=1
|
542 |
+
pad=1
|
543 |
+
activation=relu
|
544 |
+
|
545 |
+
[upsample]
|
546 |
+
stride=2
|
547 |
+
|
548 |
+
[route]
|
549 |
+
layers = 20
|
550 |
+
|
551 |
+
[convolutional]
|
552 |
+
#sparse=1
|
553 |
+
batch_normalize=1
|
554 |
+
filters=64
|
555 |
+
size=1
|
556 |
+
stride=1
|
557 |
+
pad=1
|
558 |
+
activation=relu
|
559 |
+
|
560 |
+
[route]
|
561 |
+
layers = -1,-3
|
562 |
+
|
563 |
+
[convolutional]
|
564 |
+
#sparse=1
|
565 |
+
batch_normalize=1
|
566 |
+
filters=32
|
567 |
+
size=1
|
568 |
+
stride=1
|
569 |
+
pad=1
|
570 |
+
activation=relu
|
571 |
+
|
572 |
+
[route]
|
573 |
+
layers=-2
|
574 |
+
|
575 |
+
[convolutional]
|
576 |
+
#sparse=1
|
577 |
+
batch_normalize=1
|
578 |
+
filters=32
|
579 |
+
size=1
|
580 |
+
stride=1
|
581 |
+
pad=1
|
582 |
+
activation=relu
|
583 |
+
|
584 |
+
[convolutional]
|
585 |
+
#sparse=1
|
586 |
+
batch_normalize=1
|
587 |
+
filters=32
|
588 |
+
size=3
|
589 |
+
stride=1
|
590 |
+
pad=1
|
591 |
+
activation=relu
|
592 |
+
|
593 |
+
[convolutional]
|
594 |
+
#sparse=1
|
595 |
+
batch_normalize=1
|
596 |
+
filters=32
|
597 |
+
size=3
|
598 |
+
stride=1
|
599 |
+
pad=1
|
600 |
+
activation=relu
|
601 |
+
|
602 |
+
[convolutional]
|
603 |
+
#sparse=1
|
604 |
+
batch_normalize=1
|
605 |
+
filters=32
|
606 |
+
size=3
|
607 |
+
stride=1
|
608 |
+
pad=1
|
609 |
+
activation=relu
|
610 |
+
|
611 |
+
[convolutional]
|
612 |
+
#sparse=1
|
613 |
+
batch_normalize=1
|
614 |
+
filters=32
|
615 |
+
size=3
|
616 |
+
stride=1
|
617 |
+
pad=1
|
618 |
+
activation=relu
|
619 |
+
|
620 |
+
[route]
|
621 |
+
layers = -1,-3,-5,-7
|
622 |
+
|
623 |
+
[convolutional]
|
624 |
+
#sparse=1
|
625 |
+
batch_normalize=1
|
626 |
+
filters=64
|
627 |
+
size=1
|
628 |
+
stride=1
|
629 |
+
pad=1
|
630 |
+
activation=relu
|
631 |
+
|
632 |
+
|
633 |
+
[convolutional]
|
634 |
+
#sparse=1
|
635 |
+
batch_normalize=1
|
636 |
+
size=3
|
637 |
+
stride=2
|
638 |
+
pad=1
|
639 |
+
filters=128
|
640 |
+
activation=relu
|
641 |
+
|
642 |
+
[route]
|
643 |
+
layers = -1,67
|
644 |
+
|
645 |
+
[convolutional]
|
646 |
+
#sparse=1
|
647 |
+
batch_normalize=1
|
648 |
+
filters=64
|
649 |
+
size=1
|
650 |
+
stride=1
|
651 |
+
pad=1
|
652 |
+
activation=relu
|
653 |
+
|
654 |
+
[route]
|
655 |
+
layers=-2
|
656 |
+
|
657 |
+
[convolutional]
|
658 |
+
#sparse=1
|
659 |
+
batch_normalize=1
|
660 |
+
filters=64
|
661 |
+
size=1
|
662 |
+
stride=1
|
663 |
+
pad=1
|
664 |
+
activation=relu
|
665 |
+
|
666 |
+
[convolutional]
|
667 |
+
#sparse=1
|
668 |
+
batch_normalize=1
|
669 |
+
filters=64
|
670 |
+
size=3
|
671 |
+
stride=1
|
672 |
+
pad=1
|
673 |
+
activation=relu
|
674 |
+
|
675 |
+
[convolutional]
|
676 |
+
#sparse=1
|
677 |
+
batch_normalize=1
|
678 |
+
filters=64
|
679 |
+
size=3
|
680 |
+
stride=1
|
681 |
+
pad=1
|
682 |
+
activation=relu
|
683 |
+
|
684 |
+
[convolutional]
|
685 |
+
#sparse=1
|
686 |
+
batch_normalize=1
|
687 |
+
filters=64
|
688 |
+
size=3
|
689 |
+
stride=1
|
690 |
+
pad=1
|
691 |
+
activation=relu
|
692 |
+
|
693 |
+
[convolutional]
|
694 |
+
#sparse=1
|
695 |
+
batch_normalize=1
|
696 |
+
filters=64
|
697 |
+
size=3
|
698 |
+
stride=1
|
699 |
+
pad=1
|
700 |
+
activation=relu
|
701 |
+
|
702 |
+
[route]
|
703 |
+
layers = -1,-3,-5,-7
|
704 |
+
|
705 |
+
[convolutional]
|
706 |
+
#sparse=1
|
707 |
+
batch_normalize=1
|
708 |
+
filters=128
|
709 |
+
size=1
|
710 |
+
stride=1
|
711 |
+
pad=1
|
712 |
+
activation=relu
|
713 |
+
|
714 |
+
[convolutional]
|
715 |
+
#sparse=1
|
716 |
+
batch_normalize=1
|
717 |
+
size=3
|
718 |
+
stride=2
|
719 |
+
pad=1
|
720 |
+
filters=256
|
721 |
+
activation=relu
|
722 |
+
|
723 |
+
[route]
|
724 |
+
layers = -1,53
|
725 |
+
|
726 |
+
[convolutional]
|
727 |
+
#sparse=1
|
728 |
+
batch_normalize=1
|
729 |
+
filters=128
|
730 |
+
size=1
|
731 |
+
stride=1
|
732 |
+
pad=1
|
733 |
+
activation=relu
|
734 |
+
|
735 |
+
[route]
|
736 |
+
layers=-2
|
737 |
+
|
738 |
+
[convolutional]
|
739 |
+
#sparse=1
|
740 |
+
batch_normalize=1
|
741 |
+
filters=128
|
742 |
+
size=1
|
743 |
+
stride=1
|
744 |
+
pad=1
|
745 |
+
activation=relu
|
746 |
+
|
747 |
+
[convolutional]
|
748 |
+
#sparse=1
|
749 |
+
batch_normalize=1
|
750 |
+
filters=128
|
751 |
+
size=3
|
752 |
+
stride=1
|
753 |
+
pad=1
|
754 |
+
activation=relu
|
755 |
+
|
756 |
+
[convolutional]
|
757 |
+
#sparse=1
|
758 |
+
batch_normalize=1
|
759 |
+
filters=128
|
760 |
+
size=3
|
761 |
+
stride=1
|
762 |
+
pad=1
|
763 |
+
activation=relu
|
764 |
+
|
765 |
+
[convolutional]
|
766 |
+
#sparse=1
|
767 |
+
batch_normalize=1
|
768 |
+
filters=128
|
769 |
+
size=3
|
770 |
+
stride=1
|
771 |
+
pad=1
|
772 |
+
activation=relu
|
773 |
+
|
774 |
+
[convolutional]
|
775 |
+
#sparse=1
|
776 |
+
batch_normalize=1
|
777 |
+
filters=128
|
778 |
+
size=3
|
779 |
+
stride=1
|
780 |
+
pad=1
|
781 |
+
activation=relu
|
782 |
+
|
783 |
+
[route]
|
784 |
+
layers = -1,-3,-5,-7
|
785 |
+
|
786 |
+
[convolutional]
|
787 |
+
#sparse=1
|
788 |
+
batch_normalize=1
|
789 |
+
filters=256
|
790 |
+
size=1
|
791 |
+
stride=1
|
792 |
+
pad=1
|
793 |
+
activation=relu
|
794 |
+
|
795 |
+
#############################
|
796 |
+
|
797 |
+
# ============ End of Neck ============ #
|
798 |
+
|
799 |
+
# ============ Head ============ #
|
800 |
+
|
801 |
+
|
802 |
+
# P3
|
803 |
+
[route]
|
804 |
+
layers = 80
|
805 |
+
|
806 |
+
[convolutional]
|
807 |
+
#sparse=1
|
808 |
+
batch_normalize=1
|
809 |
+
size=3
|
810 |
+
stride=1
|
811 |
+
pad=1
|
812 |
+
filters=128
|
813 |
+
activation=relu
|
814 |
+
|
815 |
+
[convolutional]
|
816 |
+
##sparse=1
|
817 |
+
size=1
|
818 |
+
stride=1
|
819 |
+
pad=1
|
820 |
+
filters=45
|
821 |
+
#activation=linear
|
822 |
+
activation=logistic
|
823 |
+
|
824 |
+
[yolo]
|
825 |
+
mask = 0,1,2
|
826 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
827 |
+
classes=10
|
828 |
+
num=9
|
829 |
+
jitter=.3
|
830 |
+
scale_x_y = 2.0
|
831 |
+
ignore_thresh = .5
|
832 |
+
truth_thresh = 1
|
833 |
+
#random=1
|
834 |
+
resize=1.5
|
835 |
+
new_coords=1
|
836 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
837 |
+
cls_normalizer=0.25
|
838 |
+
iou_normalizer=0.05
|
839 |
+
iou_loss=ciou
|
840 |
+
|
841 |
+
# P4
|
842 |
+
[route]
|
843 |
+
layers = 91
|
844 |
+
|
845 |
+
[convolutional]
|
846 |
+
#sparse=1
|
847 |
+
batch_normalize=1
|
848 |
+
size=3
|
849 |
+
stride=1
|
850 |
+
pad=1
|
851 |
+
filters=256
|
852 |
+
activation=relu
|
853 |
+
|
854 |
+
[convolutional]
|
855 |
+
##sparse=1
|
856 |
+
size=1
|
857 |
+
stride=1
|
858 |
+
pad=1
|
859 |
+
filters=45
|
860 |
+
#activation=linear
|
861 |
+
activation=logistic
|
862 |
+
|
863 |
+
[yolo]
|
864 |
+
mask = 3,4,5
|
865 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
866 |
+
classes=10
|
867 |
+
num=9
|
868 |
+
jitter=.3
|
869 |
+
scale_x_y = 2.0
|
870 |
+
ignore_thresh = .5
|
871 |
+
truth_thresh = 1
|
872 |
+
resize=1.5
|
873 |
+
new_coords=1
|
874 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
875 |
+
cls_normalizer=0.25
|
876 |
+
iou_normalizer=0.05
|
877 |
+
iou_loss=ciou
|
878 |
+
|
879 |
+
|
880 |
+
# P5
|
881 |
+
[route]
|
882 |
+
layers = 102
|
883 |
+
|
884 |
+
[convolutional]
|
885 |
+
#sparse=1
|
886 |
+
batch_normalize=1
|
887 |
+
size=3
|
888 |
+
stride=1
|
889 |
+
pad=1
|
890 |
+
filters=512
|
891 |
+
activation=relu
|
892 |
+
|
893 |
+
[convolutional]
|
894 |
+
##sparse=1
|
895 |
+
size=1
|
896 |
+
stride=1
|
897 |
+
pad=1
|
898 |
+
filters=45
|
899 |
+
#activation=linear
|
900 |
+
activation=logistic
|
901 |
+
|
902 |
+
[yolo]
|
903 |
+
mask = 6,7,8
|
904 |
+
anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337
|
905 |
+
classes=10
|
906 |
+
num=9
|
907 |
+
jitter=.3
|
908 |
+
scale_x_y = 2.0
|
909 |
+
ignore_thresh = .5
|
910 |
+
truth_thresh = 1
|
911 |
+
resize=1.5
|
912 |
+
new_coords=1
|
913 |
+
counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
|
914 |
+
cls_normalizer=0.25
|
915 |
+
iou_normalizer=0.05
|
916 |
+
iou_loss=ciou
|
917 |
+
|
face/lightnet-face-1024x768.cfg
ADDED
@@ -0,0 +1,909 @@
|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
[net]
|
2 |
+
batch=256
|
3 |
+
subdivisions=64
|
4 |
+
width=1024
|
5 |
+
height=768
|
6 |
+
channels=3
|
7 |
+
momentum=0.9
|
8 |
+
decay=0.0005
|
9 |
+
angle=0
|
10 |
+
saturation = 1.5
|
11 |
+
exposure = 1.5
|
12 |
+
hue=.1
|
13 |
+
|
14 |
+
learning_rate=0.001
|
15 |
+
burn_in=100
|
16 |
+
max_batches = 1000
|
17 |
+
policy=steps
|
18 |
+
|
19 |
+
steps=50,200,400,800
|
20 |
+
scales=.5,.5,.5,.5
|
21 |
+
gaussian_noise=1
|
22 |
+
flip=1
|
23 |
+
|
24 |
+
#sparse=1 : 2:4 structured sparsity
|
25 |
+
|
26 |
+
[convolutional]
|
27 |
+
batch_normalize=1
|
28 |
+
filters=32
|
29 |
+
size=3
|
30 |
+
stride=2
|
31 |
+
pad=1
|
32 |
+
activation=relu
|
33 |
+
|
34 |
+
[convolutional]
|
35 |
+
sparse=1
|
36 |
+
batch_normalize=1
|
37 |
+
filters=64
|
38 |
+
size=3
|
39 |
+
stride=2
|
40 |
+
pad=1
|
41 |
+
activation=relu
|
42 |
+
|
43 |
+
[convolutional]
|
44 |
+
sparse=1
|
45 |
+
batch_normalize=1
|
46 |
+
filters=32
|
47 |
+
size=1
|
48 |
+
stride=1
|
49 |
+
pad=1
|
50 |
+
activation=relu
|
51 |
+
|
52 |
+
[route]
|
53 |
+
layers=-2
|
54 |
+
|
55 |
+
[convolutional]
|
56 |
+
sparse=1
|
57 |
+
batch_normalize=1
|
58 |
+
filters=32
|
59 |
+
size=1
|
60 |
+
stride=1
|
61 |
+
pad=1
|
62 |
+
activation=relu
|
63 |
+
|
64 |
+
[convolutional]
|
65 |
+
sparse=1
|
66 |
+
batch_normalize=1
|
67 |
+
filters=32
|
68 |
+
size=3
|
69 |
+
stride=1
|
70 |
+
pad=1
|
71 |
+
activation=relu
|
72 |
+
|
73 |
+
[convolutional]
|
74 |
+
sparse=1
|
75 |
+
batch_normalize=1
|
76 |
+
filters=32
|
77 |
+
size=3
|
78 |
+
stride=1
|
79 |
+
pad=1
|
80 |
+
activation=relu
|
81 |
+
|
82 |
+
[convolutional]
|
83 |
+
sparse=1
|
84 |
+
batch_normalize=1
|
85 |
+
filters=32
|
86 |
+
size=3
|
87 |
+
stride=1
|
88 |
+
pad=1
|
89 |
+
activation=relu
|
90 |
+
|
91 |
+
[convolutional]
|
92 |
+
sparse=1
|
93 |
+
batch_normalize=1
|
94 |
+
filters=32
|
95 |
+
size=3
|
96 |
+
stride=1
|
97 |
+
pad=1
|
98 |
+
activation=relu
|
99 |
+
|
100 |
+
[route]
|
101 |
+
layers = -1,-3,-5,-7
|
102 |
+
|
103 |
+
[convolutional]
|
104 |
+
sparse=1
|
105 |
+
batch_normalize=1
|
106 |
+
filters=64
|
107 |
+
size=1
|
108 |
+
stride=1
|
109 |
+
pad=1
|
110 |
+
activation=relu
|
111 |
+
|
112 |
+
[convolutional]
|
113 |
+
sparse=1
|
114 |
+
batch_normalize=1
|
115 |
+
filters=64
|
116 |
+
size=3
|
117 |
+
stride=2
|
118 |
+
pad=1
|
119 |
+
activation=relu
|
120 |
+
|
121 |
+
|
122 |
+
[convolutional]
|
123 |
+
sparse=1
|
124 |
+
batch_normalize=1
|
125 |
+
filters=64
|
126 |
+
size=1
|
127 |
+
stride=1
|
128 |
+
pad=1
|
129 |
+
activation=relu
|
130 |
+
|
131 |
+
[route]
|
132 |
+
layers=-2
|
133 |
+
|
134 |
+
[convolutional]
|
135 |
+
sparse=1
|
136 |
+
batch_normalize=1
|
137 |
+
filters=64
|
138 |
+
size=1
|
139 |
+
stride=1
|
140 |
+
pad=1
|
141 |
+
activation=relu
|
142 |
+
|
143 |
+
[convolutional]
|
144 |
+
sparse=1
|
145 |
+
batch_normalize=1
|
146 |
+
filters=64
|
147 |
+
size=3
|
148 |
+
stride=1
|
149 |
+
pad=1
|
150 |
+
activation=relu
|
151 |
+
|
152 |
+
[convolutional]
|
153 |
+
sparse=1
|
154 |
+
batch_normalize=1
|
155 |
+
filters=64
|
156 |
+
size=3
|
157 |
+
stride=1
|
158 |
+
pad=1
|
159 |
+
activation=relu
|
160 |
+
|
161 |
+
[convolutional]
|
162 |
+
sparse=1
|
163 |
+
batch_normalize=1
|
164 |
+
filters=64
|
165 |
+
size=3
|
166 |
+
stride=1
|
167 |
+
pad=1
|
168 |
+
activation=relu
|
169 |
+
|
170 |
+
[convolutional]
|
171 |
+
sparse=1
|
172 |
+
batch_normalize=1
|
173 |
+
filters=64
|
174 |
+
size=3
|
175 |
+
stride=1
|
176 |
+
pad=1
|
177 |
+
activation=relu
|
178 |
+
|
179 |
+
[route]
|
180 |
+
layers = -1,-3,-5,-7
|
181 |
+
|
182 |
+
[convolutional]
|
183 |
+
sparse=1
|
184 |
+
batch_normalize=1
|
185 |
+
filters=128
|
186 |
+
size=1
|
187 |
+
stride=1
|
188 |
+
pad=1
|
189 |
+
activation=relu
|
190 |
+
|
191 |
+
[convolutional]
|
192 |
+
sparse=1
|
193 |
+
batch_normalize=1
|
194 |
+
filters=128
|
195 |
+
size=3
|
196 |
+
stride=2
|
197 |
+
pad=1
|
198 |
+
activation=relu
|
199 |
+
|
200 |
+
[convolutional]
|
201 |
+
sparse=1
|
202 |
+
batch_normalize=1
|
203 |
+
filters=128
|
204 |
+
size=1
|
205 |
+
stride=1
|
206 |
+
pad=1
|
207 |
+
activation=relu
|
208 |
+
|
209 |
+
[route]
|
210 |
+
layers=-2
|
211 |
+
|
212 |
+
[convolutional]
|
213 |
+
sparse=1
|
214 |
+
batch_normalize=1
|
215 |
+
filters=128
|
216 |
+
size=1
|
217 |
+
stride=1
|
218 |
+
pad=1
|
219 |
+
activation=relu
|
220 |
+
|
221 |
+
[convolutional]
|
222 |
+
sparse=1
|
223 |
+
batch_normalize=1
|
224 |
+
filters=128
|
225 |
+
size=3
|
226 |
+
stride=1
|
227 |
+
pad=1
|
228 |
+
activation=relu
|
229 |
+
|
230 |
+
[convolutional]
|
231 |
+
sparse=1
|
232 |
+
batch_normalize=1
|
233 |
+
filters=128
|
234 |
+
size=3
|
235 |
+
stride=1
|
236 |
+
pad=1
|
237 |
+
activation=relu
|
238 |
+
|
239 |
+
[convolutional]
|
240 |
+
sparse=1
|
241 |
+
batch_normalize=1
|
242 |
+
filters=128
|
243 |
+
size=3
|
244 |
+
stride=1
|
245 |
+
pad=1
|
246 |
+
activation=relu
|
247 |
+
|
248 |
+
[convolutional]
|
249 |
+
sparse=1
|
250 |
+
batch_normalize=1
|
251 |
+
filters=128
|
252 |
+
size=3
|
253 |
+
stride=1
|
254 |
+
pad=1
|
255 |
+
activation=relu
|
256 |
+
|
257 |
+
[route]
|
258 |
+
layers = -1,-3,-5,-7
|
259 |
+
|
260 |
+
[convolutional]
|
261 |
+
sparse=1
|
262 |
+
batch_normalize=1
|
263 |
+
filters=256
|
264 |
+
size=1
|
265 |
+
stride=1
|
266 |
+
pad=1
|
267 |
+
activation=relu
|
268 |
+
|
269 |
+
[convolutional]
|
270 |
+
sparse=1
|
271 |
+
batch_normalize=1
|
272 |
+
filters=256
|
273 |
+
size=3
|
274 |
+
stride=2
|
275 |
+
pad=1
|
276 |
+
activation=relu
|
277 |
+
|
278 |
+
[convolutional]
|
279 |
+
sparse=1
|
280 |
+
batch_normalize=1
|
281 |
+
filters=256
|
282 |
+
size=1
|
283 |
+
stride=1
|
284 |
+
pad=1
|
285 |
+
activation=relu
|
286 |
+
|
287 |
+
[route]
|
288 |
+
layers=-2
|
289 |
+
|
290 |
+
[convolutional]
|
291 |
+
sparse=1
|
292 |
+
batch_normalize=1
|
293 |
+
filters=256
|
294 |
+
size=1
|
295 |
+
stride=1
|
296 |
+
pad=1
|
297 |
+
activation=relu
|
298 |
+
|
299 |
+
[convolutional]
|
300 |
+
sparse=1
|
301 |
+
batch_normalize=1
|
302 |
+
filters=256
|
303 |
+
size=3
|
304 |
+
stride=1
|
305 |
+
pad=1
|
306 |
+
activation=relu
|
307 |
+
|
308 |
+
[convolutional]
|
309 |
+
sparse=1
|
310 |
+
batch_normalize=1
|
311 |
+
filters=256
|
312 |
+
size=3
|
313 |
+
stride=1
|
314 |
+
pad=1
|
315 |
+
activation=relu
|
316 |
+
|
317 |
+
[convolutional]
|
318 |
+
sparse=1
|
319 |
+
batch_normalize=1
|
320 |
+
filters=256
|
321 |
+
size=3
|
322 |
+
stride=1
|
323 |
+
pad=1
|
324 |
+
activation=relu
|
325 |
+
|
326 |
+
[convolutional]
|
327 |
+
sparse=1
|
328 |
+
batch_normalize=1
|
329 |
+
filters=256
|
330 |
+
size=3
|
331 |
+
stride=1
|
332 |
+
pad=1
|
333 |
+
activation=relu
|
334 |
+
|
335 |
+
[route]
|
336 |
+
layers = -1,-3,-5,-7
|
337 |
+
|
338 |
+
[convolutional]
|
339 |
+
sparse=1
|
340 |
+
batch_normalize=1
|
341 |
+
filters=512
|
342 |
+
size=1
|
343 |
+
stride=1
|
344 |
+
pad=1
|
345 |
+
activation=relu
|
346 |
+
|
347 |
+
|
348 |
+
##################################
|
349 |
+
|
350 |
+
### ASPPCSP ###
|
351 |
+
[convolutional]
|
352 |
+
sparse=1
|
353 |
+
batch_normalize=1
|
354 |
+
filters=256
|
355 |
+
size=1
|
356 |
+
stride=1
|
357 |
+
pad=1
|
358 |
+
activation=relu
|
359 |
+
|
360 |
+
[route]
|
361 |
+
layers = -2
|
362 |
+
|
363 |
+
[convolutional]
|
364 |
+
sparse=1
|
365 |
+
batch_normalize=1
|
366 |
+
filters=256
|
367 |
+
size=1
|
368 |
+
stride=1
|
369 |
+
pad=1
|
370 |
+
activation=relu
|
371 |
+
|
372 |
+
### ASPP ###
|
373 |
+
[convolutional]
|
374 |
+
sparse=1
|
375 |
+
batch_normalize=1
|
376 |
+
filters=256
|
377 |
+
size=1
|
378 |
+
stride=1
|
379 |
+
pad=1
|
380 |
+
dilation=1
|
381 |
+
activation=relu
|
382 |
+
|
383 |
+
[route]
|
384 |
+
layers=-2
|
385 |
+
|
386 |
+
[convolutional]
|
387 |
+
sparse=1
|
388 |
+
batch_normalize=1
|
389 |
+
filters=256
|
390 |
+
size=1
|
391 |
+
stride=1
|
392 |
+
pad=1
|
393 |
+
dilation=3
|
394 |
+
activation=relu
|
395 |
+
|
396 |
+
[route]
|
397 |
+
layers=-4
|
398 |
+
|
399 |
+
[convolutional]
|
400 |
+
sparse=1
|
401 |
+
batch_normalize=1
|
402 |
+
filters=256
|
403 |
+
size=1
|
404 |
+
stride=1
|
405 |
+
pad=1
|
406 |
+
dilation=5
|
407 |
+
activation=relu
|
408 |
+
|
409 |
+
[route]
|
410 |
+
layers=-1,-3,-5,-6
|
411 |
+
### End ASPP ###
|
412 |
+
|
413 |
+
[convolutional]
|
414 |
+
sparse=1
|
415 |
+
batch_normalize=1
|
416 |
+
filters=256
|
417 |
+
size=1
|
418 |
+
stride=1
|
419 |
+
pad=1
|
420 |
+
activation=relu
|
421 |
+
|
422 |
+
[route]
|
423 |
+
layers = -10,-1
|
424 |
+
|
425 |
+
# 44
|
426 |
+
[convolutional]
|
427 |
+
sparse=1
|
428 |
+
batch_normalize=1
|
429 |
+
filters=256
|
430 |
+
size=1
|
431 |
+
stride=1
|
432 |
+
pad=1
|
433 |
+
activation=relu
|
434 |
+
### End ASPPCSP ###
|
435 |
+
|
436 |
+
[convolutional]
|
437 |
+
sparse=1
|
438 |
+
batch_normalize=1
|
439 |
+
filters=128
|
440 |
+
size=1
|
441 |
+
stride=1
|
442 |
+
pad=1
|
443 |
+
activation=relu
|
444 |
+
|
445 |
+
[upsample]
|
446 |
+
stride=2
|
447 |
+
|
448 |
+
[route]
|
449 |
+
layers = 30
|
450 |
+
|
451 |
+
[convolutional]
|
452 |
+
sparse=1
|
453 |
+
batch_normalize=1
|
454 |
+
filters=128
|
455 |
+
size=1
|
456 |
+
stride=1
|
457 |
+
pad=1
|
458 |
+
activation=relu
|
459 |
+
|
460 |
+
[route]
|
461 |
+
layers = -1,-3
|
462 |
+
|
463 |
+
[convolutional]
|
464 |
+
sparse=1
|
465 |
+
batch_normalize=1
|
466 |
+
filters=64
|
467 |
+
size=1
|
468 |
+
stride=1
|
469 |
+
pad=1
|
470 |
+
activation=relu
|
471 |
+
|
472 |
+
[route]
|
473 |
+
layers=-2
|
474 |
+
|
475 |
+
[convolutional]
|
476 |
+
sparse=1
|
477 |
+
batch_normalize=1
|
478 |
+
filters=64
|
479 |
+
size=1
|
480 |
+
stride=1
|
481 |
+
pad=1
|
482 |
+
activation=relu
|
483 |
+
|
484 |
+
[convolutional]
|
485 |
+
sparse=1
|
486 |
+
batch_normalize=1
|
487 |
+
filters=64
|
488 |
+
size=3
|
489 |
+
stride=1
|
490 |
+
pad=1
|
491 |
+
activation=relu
|
492 |
+
|
493 |
+
[convolutional]
|
494 |
+
sparse=1
|
495 |
+
batch_normalize=1
|
496 |
+
filters=64
|
497 |
+
size=3
|
498 |
+
stride=1
|
499 |
+
pad=1
|
500 |
+
activation=relu
|
501 |
+
|
502 |
+
[convolutional]
|
503 |
+
sparse=1
|
504 |
+
batch_normalize=1
|
505 |
+
filters=64
|
506 |
+
size=3
|
507 |
+
stride=1
|
508 |
+
pad=1
|
509 |
+
activation=relu
|
510 |
+
|
511 |
+
[convolutional]
|
512 |
+
sparse=1
|
513 |
+
batch_normalize=1
|
514 |
+
filters=64
|
515 |
+
size=3
|
516 |
+
stride=1
|
517 |
+
pad=1
|
518 |
+
activation=relu
|
519 |
+
|
520 |
+
[route]
|
521 |
+
layers = -1,-3,-5,-7
|
522 |
+
|
523 |
+
|
524 |
+
# 56
|
525 |
+
[convolutional]
|
526 |
+
sparse=1
|
527 |
+
batch_normalize=1
|
528 |
+
filters=128
|
529 |
+
size=1
|
530 |
+
stride=1
|
531 |
+
pad=1
|
532 |
+
activation=relu
|
533 |
+
|
534 |
+
[convolutional]
|
535 |
+
sparse=1
|
536 |
+
batch_normalize=1
|
537 |
+
filters=64
|
538 |
+
size=1
|
539 |
+
stride=1
|
540 |
+
pad=1
|
541 |
+
activation=relu
|
542 |
+
|
543 |
+
[upsample]
|
544 |
+
stride=2
|
545 |
+
|
546 |
+
[route]
|
547 |
+
layers = 20
|
548 |
+
|
549 |
+
[convolutional]
|
550 |
+
sparse=1
|
551 |
+
batch_normalize=1
|
552 |
+
filters=64
|
553 |
+
size=1
|
554 |
+
stride=1
|
555 |
+
pad=1
|
556 |
+
activation=relu
|
557 |
+
|
558 |
+
[route]
|
559 |
+
layers = -1,-3
|
560 |
+
|
561 |
+
[convolutional]
|
562 |
+
sparse=1
|
563 |
+
batch_normalize=1
|
564 |
+
filters=32
|
565 |
+
size=1
|
566 |
+
stride=1
|
567 |
+
pad=1
|
568 |
+
activation=relu
|
569 |
+
|
570 |
+
[route]
|
571 |
+
layers=-2
|
572 |
+
|
573 |
+
[convolutional]
|
574 |
+
sparse=1
|
575 |
+
batch_normalize=1
|
576 |
+
filters=32
|
577 |
+
size=1
|
578 |
+
stride=1
|
579 |
+
pad=1
|
580 |
+
activation=relu
|
581 |
+
|
582 |
+
[convolutional]
|
583 |
+
sparse=1
|
584 |
+
batch_normalize=1
|
585 |
+
filters=32
|
586 |
+
size=3
|
587 |
+
stride=1
|
588 |
+
pad=1
|
589 |
+
activation=relu
|
590 |
+
|
591 |
+
[convolutional]
|
592 |
+
sparse=1
|
593 |
+
batch_normalize=1
|
594 |
+
filters=32
|
595 |
+
size=3
|
596 |
+
stride=1
|
597 |
+
pad=1
|
598 |
+
activation=relu
|
599 |
+
|
600 |
+
[convolutional]
|
601 |
+
sparse=1
|
602 |
+
batch_normalize=1
|
603 |
+
filters=32
|
604 |
+
size=3
|
605 |
+
stride=1
|
606 |
+
pad=1
|
607 |
+
activation=relu
|
608 |
+
|
609 |
+
[convolutional]
|
610 |
+
sparse=1
|
611 |
+
batch_normalize=1
|
612 |
+
filters=32
|
613 |
+
size=3
|
614 |
+
stride=1
|
615 |
+
pad=1
|
616 |
+
activation=relu
|
617 |
+
|
618 |
+
[route]
|
619 |
+
layers = -1,-3,-5,-7
|
620 |
+
|
621 |
+
[convolutional]
|
622 |
+
sparse=1
|
623 |
+
batch_normalize=1
|
624 |
+
filters=64
|
625 |
+
size=1
|
626 |
+
stride=1
|
627 |
+
pad=1
|
628 |
+
activation=relu
|
629 |
+
|
630 |
+
|
631 |
+
[convolutional]
|
632 |
+
sparse=1
|
633 |
+
batch_normalize=1
|
634 |
+
size=3
|
635 |
+
stride=2
|
636 |
+
pad=1
|
637 |
+
filters=128
|
638 |
+
activation=relu
|
639 |
+
|
640 |
+
[route]
|
641 |
+
layers = -1,67
|
642 |
+
|
643 |
+
[convolutional]
|
644 |
+
sparse=1
|
645 |
+
batch_normalize=1
|
646 |
+
filters=64
|
647 |
+
size=1
|
648 |
+
stride=1
|
649 |
+
pad=1
|
650 |
+
activation=relu
|
651 |
+
|
652 |
+
[route]
|
653 |
+
layers=-2
|
654 |
+
|
655 |
+
[convolutional]
|
656 |
+
sparse=1
|
657 |
+
batch_normalize=1
|
658 |
+
filters=64
|
659 |
+
size=1
|
660 |
+
stride=1
|
661 |
+
pad=1
|
662 |
+
activation=relu
|
663 |
+
|
664 |
+
[convolutional]
|
665 |
+
sparse=1
|
666 |
+
batch_normalize=1
|
667 |
+
filters=64
|
668 |
+
size=3
|
669 |
+
stride=1
|
670 |
+
pad=1
|
671 |
+
activation=relu
|
672 |
+
|
673 |
+
[convolutional]
|
674 |
+
sparse=1
|
675 |
+
batch_normalize=1
|
676 |
+
filters=64
|
677 |
+
size=3
|
678 |
+
stride=1
|
679 |
+
pad=1
|
680 |
+
activation=relu
|
681 |
+
|
682 |
+
[convolutional]
|
683 |
+
sparse=1
|
684 |
+
batch_normalize=1
|
685 |
+
filters=64
|
686 |
+
size=3
|
687 |
+
stride=1
|
688 |
+
pad=1
|
689 |
+
activation=relu
|
690 |
+
|
691 |
+
[convolutional]
|
692 |
+
sparse=1
|
693 |
+
batch_normalize=1
|
694 |
+
filters=64
|
695 |
+
size=3
|
696 |
+
stride=1
|
697 |
+
pad=1
|
698 |
+
activation=relu
|
699 |
+
|
700 |
+
[route]
|
701 |
+
layers = -1,-3,-5,-7
|
702 |
+
|
703 |
+
[convolutional]
|
704 |
+
sparse=1
|
705 |
+
batch_normalize=1
|
706 |
+
filters=128
|
707 |
+
size=1
|
708 |
+
stride=1
|
709 |
+
pad=1
|
710 |
+
activation=relu
|
711 |
+
|
712 |
+
[convolutional]
|
713 |
+
sparse=1
|
714 |
+
batch_normalize=1
|
715 |
+
size=3
|
716 |
+
stride=2
|
717 |
+
pad=1
|
718 |
+
filters=256
|
719 |
+
activation=relu
|
720 |
+
|
721 |
+
[route]
|
722 |
+
layers = -1,53
|
723 |
+
|
724 |
+
[convolutional]
|
725 |
+
sparse=1
|
726 |
+
batch_normalize=1
|
727 |
+
filters=128
|
728 |
+
size=1
|
729 |
+
stride=1
|
730 |
+
pad=1
|
731 |
+
activation=relu
|
732 |
+
|
733 |
+
[route]
|
734 |
+
layers=-2
|
735 |
+
|
736 |
+
[convolutional]
|
737 |
+
sparse=1
|
738 |
+
batch_normalize=1
|
739 |
+
filters=128
|
740 |
+
size=1
|
741 |
+
stride=1
|
742 |
+
pad=1
|
743 |
+
activation=relu
|
744 |
+
|
745 |
+
[convolutional]
|
746 |
+
sparse=1
|
747 |
+
batch_normalize=1
|
748 |
+
filters=128
|
749 |
+
size=3
|
750 |
+
stride=1
|
751 |
+
pad=1
|
752 |
+
activation=relu
|
753 |
+
|
754 |
+
[convolutional]
|
755 |
+
sparse=1
|
756 |
+
batch_normalize=1
|
757 |
+
filters=128
|
758 |
+
size=3
|
759 |
+
stride=1
|
760 |
+
pad=1
|
761 |
+
activation=relu
|
762 |
+
|
763 |
+
[convolutional]
|
764 |
+
sparse=1
|
765 |
+
batch_normalize=1
|
766 |
+
filters=128
|
767 |
+
size=3
|
768 |
+
stride=1
|
769 |
+
pad=1
|
770 |
+
activation=relu
|
771 |
+
|
772 |
+
[convolutional]
|
773 |
+
sparse=1
|
774 |
+
batch_normalize=1
|
775 |
+
filters=128
|
776 |
+
size=3
|
777 |
+
stride=1
|
778 |
+
pad=1
|
779 |
+
activation=relu
|
780 |
+
|
781 |
+
[route]
|
782 |
+
layers = -1,-3,-5,-7
|
783 |
+
|
784 |
+
[convolutional]
|
785 |
+
sparse=1
|
786 |
+
batch_normalize=1
|
787 |
+
filters=256
|
788 |
+
size=1
|
789 |
+
stride=1
|
790 |
+
pad=1
|
791 |
+
activation=relu
|
792 |
+
|
793 |
+
#############################
|
794 |
+
|
795 |
+
# ============ End of Neck ============ #
|
796 |
+
|
797 |
+
# ============ Head ============ #
|
798 |
+
|
799 |
+
|
800 |
+
# P3
|
801 |
+
[route]
|
802 |
+
layers = 80
|
803 |
+
|
804 |
+
[convolutional]
|
805 |
+
sparse=1
|
806 |
+
batch_normalize=1
|
807 |
+
size=3
|
808 |
+
stride=1
|
809 |
+
pad=1
|
810 |
+
filters=128
|
811 |
+
activation=relu
|
812 |
+
|
813 |
+
[convolutional]
|
814 |
+
#sparse=1
|
815 |
+
size=1
|
816 |
+
stride=1
|
817 |
+
pad=1
|
818 |
+
filters=18
|
819 |
+
#activation=linear
|
820 |
+
activation=logistic
|
821 |
+
|
822 |
+
[yolo]
|
823 |
+
mask = 0,1,2
|
824 |
+
anchors = 7, 8, 12, 16, 20, 28, 33, 45, 53, 70, 92,110, 151,187, 268,292, 451,446
|
825 |
+
classes=1
|
826 |
+
num=9
|
827 |
+
jitter=.3
|
828 |
+
scale_x_y = 2.0
|
829 |
+
ignore_thresh = .5
|
830 |
+
truth_thresh = 1
|
831 |
+
#random=1
|
832 |
+
resize=1.5
|
833 |
+
new_coords=1
|
834 |
+
iou_normalizer=0.05
|
835 |
+
# iou_loss=ciou
|
836 |
+
|
837 |
+
# P4
|
838 |
+
[route]
|
839 |
+
layers = 91
|
840 |
+
|
841 |
+
[convolutional]
|
842 |
+
sparse=1
|
843 |
+
batch_normalize=1
|
844 |
+
size=3
|
845 |
+
stride=1
|
846 |
+
pad=1
|
847 |
+
filters=256
|
848 |
+
activation=relu
|
849 |
+
|
850 |
+
[convolutional]
|
851 |
+
#sparse=1
|
852 |
+
size=1
|
853 |
+
stride=1
|
854 |
+
pad=1
|
855 |
+
filters=18
|
856 |
+
#activation=linear
|
857 |
+
activation=logistic
|
858 |
+
|
859 |
+
[yolo]
|
860 |
+
mask = 3,4,5
|
861 |
+
anchors = 7, 8, 12, 16, 20, 28, 33, 45, 53, 70, 92,110, 151,187, 268,292, 451,446
|
862 |
+
classes=1
|
863 |
+
num=9
|
864 |
+
jitter=.3
|
865 |
+
scale_x_y = 2.0
|
866 |
+
ignore_thresh = .5
|
867 |
+
truth_thresh = 1
|
868 |
+
resize=1.5
|
869 |
+
new_coords=1
|
870 |
+
iou_normalizer=0.05
|
871 |
+
# iou_loss=ciou
|
872 |
+
|
873 |
+
|
874 |
+
# P5
|
875 |
+
[route]
|
876 |
+
layers = 102
|
877 |
+
|
878 |
+
[convolutional]
|
879 |
+
sparse=1
|
880 |
+
batch_normalize=1
|
881 |
+
size=3
|
882 |
+
stride=1
|
883 |
+
pad=1
|
884 |
+
filters=512
|
885 |
+
activation=relu
|
886 |
+
|
887 |
+
[convolutional]
|
888 |
+
#sparse=1
|
889 |
+
size=1
|
890 |
+
stride=1
|
891 |
+
pad=1
|
892 |
+
filters=18
|
893 |
+
#activation=linear
|
894 |
+
activation=logistic
|
895 |
+
|
896 |
+
[yolo]
|
897 |
+
mask = 6,7,8
|
898 |
+
anchors = 7, 8, 12, 16, 20, 28, 33, 45, 53, 70, 92,110, 151,187, 268,292, 451,446
|
899 |
+
classes=1
|
900 |
+
num=9
|
901 |
+
jitter=.3
|
902 |
+
scale_x_y = 2.0
|
903 |
+
ignore_thresh = .5
|
904 |
+
truth_thresh = 1
|
905 |
+
resize=1.5
|
906 |
+
new_coords=1
|
907 |
+
iou_normalizer=0.05
|
908 |
+
# iou_loss=ciou
|
909 |
+
|
face/lightnet_face-640x640.cfg
ADDED
@@ -0,0 +1,908 @@
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|
|
|
1 |
+
[net]
|
2 |
+
batch=8
|
3 |
+
width=640
|
4 |
+
height=640
|
5 |
+
channels=3
|
6 |
+
momentum=0.9
|
7 |
+
decay=0.0005
|
8 |
+
angle=0
|
9 |
+
saturation = 1.5
|
10 |
+
exposure = 1.5
|
11 |
+
hue=.1
|
12 |
+
|
13 |
+
learning_rate=0.001
|
14 |
+
burn_in=500
|
15 |
+
max_batches = 483000
|
16 |
+
policy=steps
|
17 |
+
|
18 |
+
steps=24000,96000,192000,384000
|
19 |
+
scales=.5,.5,.5,.5
|
20 |
+
gaussian_noise=1
|
21 |
+
flip=1
|
22 |
+
|
23 |
+
##sparse=1 : 2:4 structured sparsity
|
24 |
+
|
25 |
+
[convolutional]
|
26 |
+
batch_normalize=1
|
27 |
+
filters=32
|
28 |
+
size=3
|
29 |
+
stride=2
|
30 |
+
pad=1
|
31 |
+
activation=relu
|
32 |
+
|
33 |
+
[convolutional]
|
34 |
+
#sparse=1
|
35 |
+
batch_normalize=1
|
36 |
+
filters=64
|
37 |
+
size=3
|
38 |
+
stride=2
|
39 |
+
pad=1
|
40 |
+
activation=relu
|
41 |
+
|
42 |
+
[convolutional]
|
43 |
+
#sparse=1
|
44 |
+
batch_normalize=1
|
45 |
+
filters=32
|
46 |
+
size=1
|
47 |
+
stride=1
|
48 |
+
pad=1
|
49 |
+
activation=relu
|
50 |
+
|
51 |
+
[route]
|
52 |
+
layers=-2
|
53 |
+
|
54 |
+
[convolutional]
|
55 |
+
#sparse=1
|
56 |
+
batch_normalize=1
|
57 |
+
filters=32
|
58 |
+
size=1
|
59 |
+
stride=1
|
60 |
+
pad=1
|
61 |
+
activation=relu
|
62 |
+
|
63 |
+
[convolutional]
|
64 |
+
#sparse=1
|
65 |
+
batch_normalize=1
|
66 |
+
filters=32
|
67 |
+
size=3
|
68 |
+
stride=1
|
69 |
+
pad=1
|
70 |
+
activation=relu
|
71 |
+
|
72 |
+
[convolutional]
|
73 |
+
#sparse=1
|
74 |
+
batch_normalize=1
|
75 |
+
filters=32
|
76 |
+
size=3
|
77 |
+
stride=1
|
78 |
+
pad=1
|
79 |
+
activation=relu
|
80 |
+
|
81 |
+
[convolutional]
|
82 |
+
#sparse=1
|
83 |
+
batch_normalize=1
|
84 |
+
filters=32
|
85 |
+
size=3
|
86 |
+
stride=1
|
87 |
+
pad=1
|
88 |
+
activation=relu
|
89 |
+
|
90 |
+
[convolutional]
|
91 |
+
#sparse=1
|
92 |
+
batch_normalize=1
|
93 |
+
filters=32
|
94 |
+
size=3
|
95 |
+
stride=1
|
96 |
+
pad=1
|
97 |
+
activation=relu
|
98 |
+
|
99 |
+
[route]
|
100 |
+
layers = -1,-3,-5,-7
|
101 |
+
|
102 |
+
[convolutional]
|
103 |
+
#sparse=1
|
104 |
+
batch_normalize=1
|
105 |
+
filters=64
|
106 |
+
size=1
|
107 |
+
stride=1
|
108 |
+
pad=1
|
109 |
+
activation=relu
|
110 |
+
|
111 |
+
[convolutional]
|
112 |
+
#sparse=1
|
113 |
+
batch_normalize=1
|
114 |
+
filters=64
|
115 |
+
size=3
|
116 |
+
stride=2
|
117 |
+
pad=1
|
118 |
+
activation=relu
|
119 |
+
|
120 |
+
|
121 |
+
[convolutional]
|
122 |
+
#sparse=1
|
123 |
+
batch_normalize=1
|
124 |
+
filters=64
|
125 |
+
size=1
|
126 |
+
stride=1
|
127 |
+
pad=1
|
128 |
+
activation=relu
|
129 |
+
|
130 |
+
[route]
|
131 |
+
layers=-2
|
132 |
+
|
133 |
+
[convolutional]
|
134 |
+
#sparse=1
|
135 |
+
batch_normalize=1
|
136 |
+
filters=64
|
137 |
+
size=1
|
138 |
+
stride=1
|
139 |
+
pad=1
|
140 |
+
activation=relu
|
141 |
+
|
142 |
+
[convolutional]
|
143 |
+
#sparse=1
|
144 |
+
batch_normalize=1
|
145 |
+
filters=64
|
146 |
+
size=3
|
147 |
+
stride=1
|
148 |
+
pad=1
|
149 |
+
activation=relu
|
150 |
+
|
151 |
+
[convolutional]
|
152 |
+
#sparse=1
|
153 |
+
batch_normalize=1
|
154 |
+
filters=64
|
155 |
+
size=3
|
156 |
+
stride=1
|
157 |
+
pad=1
|
158 |
+
activation=relu
|
159 |
+
|
160 |
+
[convolutional]
|
161 |
+
#sparse=1
|
162 |
+
batch_normalize=1
|
163 |
+
filters=64
|
164 |
+
size=3
|
165 |
+
stride=1
|
166 |
+
pad=1
|
167 |
+
activation=relu
|
168 |
+
|
169 |
+
[convolutional]
|
170 |
+
#sparse=1
|
171 |
+
batch_normalize=1
|
172 |
+
filters=64
|
173 |
+
size=3
|
174 |
+
stride=1
|
175 |
+
pad=1
|
176 |
+
activation=relu
|
177 |
+
|
178 |
+
[route]
|
179 |
+
layers = -1,-3,-5,-7
|
180 |
+
|
181 |
+
[convolutional]
|
182 |
+
#sparse=1
|
183 |
+
batch_normalize=1
|
184 |
+
filters=128
|
185 |
+
size=1
|
186 |
+
stride=1
|
187 |
+
pad=1
|
188 |
+
activation=relu
|
189 |
+
|
190 |
+
[convolutional]
|
191 |
+
#sparse=1
|
192 |
+
batch_normalize=1
|
193 |
+
filters=128
|
194 |
+
size=3
|
195 |
+
stride=2
|
196 |
+
pad=1
|
197 |
+
activation=relu
|
198 |
+
|
199 |
+
[convolutional]
|
200 |
+
#sparse=1
|
201 |
+
batch_normalize=1
|
202 |
+
filters=128
|
203 |
+
size=1
|
204 |
+
stride=1
|
205 |
+
pad=1
|
206 |
+
activation=relu
|
207 |
+
|
208 |
+
[route]
|
209 |
+
layers=-2
|
210 |
+
|
211 |
+
[convolutional]
|
212 |
+
#sparse=1
|
213 |
+
batch_normalize=1
|
214 |
+
filters=128
|
215 |
+
size=1
|
216 |
+
stride=1
|
217 |
+
pad=1
|
218 |
+
activation=relu
|
219 |
+
|
220 |
+
[convolutional]
|
221 |
+
#sparse=1
|
222 |
+
batch_normalize=1
|
223 |
+
filters=128
|
224 |
+
size=3
|
225 |
+
stride=1
|
226 |
+
pad=1
|
227 |
+
activation=relu
|
228 |
+
|
229 |
+
[convolutional]
|
230 |
+
#sparse=1
|
231 |
+
batch_normalize=1
|
232 |
+
filters=128
|
233 |
+
size=3
|
234 |
+
stride=1
|
235 |
+
pad=1
|
236 |
+
activation=relu
|
237 |
+
|
238 |
+
[convolutional]
|
239 |
+
#sparse=1
|
240 |
+
batch_normalize=1
|
241 |
+
filters=128
|
242 |
+
size=3
|
243 |
+
stride=1
|
244 |
+
pad=1
|
245 |
+
activation=relu
|
246 |
+
|
247 |
+
[convolutional]
|
248 |
+
#sparse=1
|
249 |
+
batch_normalize=1
|
250 |
+
filters=128
|
251 |
+
size=3
|
252 |
+
stride=1
|
253 |
+
pad=1
|
254 |
+
activation=relu
|
255 |
+
|
256 |
+
[route]
|
257 |
+
layers = -1,-3,-5,-7
|
258 |
+
|
259 |
+
[convolutional]
|
260 |
+
#sparse=1
|
261 |
+
batch_normalize=1
|
262 |
+
filters=256
|
263 |
+
size=1
|
264 |
+
stride=1
|
265 |
+
pad=1
|
266 |
+
activation=relu
|
267 |
+
|
268 |
+
[convolutional]
|
269 |
+
#sparse=1
|
270 |
+
batch_normalize=1
|
271 |
+
filters=256
|
272 |
+
size=3
|
273 |
+
stride=2
|
274 |
+
pad=1
|
275 |
+
activation=relu
|
276 |
+
|
277 |
+
[convolutional]
|
278 |
+
#sparse=1
|
279 |
+
batch_normalize=1
|
280 |
+
filters=256
|
281 |
+
size=1
|
282 |
+
stride=1
|
283 |
+
pad=1
|
284 |
+
activation=relu
|
285 |
+
|
286 |
+
[route]
|
287 |
+
layers=-2
|
288 |
+
|
289 |
+
[convolutional]
|
290 |
+
#sparse=1
|
291 |
+
batch_normalize=1
|
292 |
+
filters=256
|
293 |
+
size=1
|
294 |
+
stride=1
|
295 |
+
pad=1
|
296 |
+
activation=relu
|
297 |
+
|
298 |
+
[convolutional]
|
299 |
+
#sparse=1
|
300 |
+
batch_normalize=1
|
301 |
+
filters=256
|
302 |
+
size=3
|
303 |
+
stride=1
|
304 |
+
pad=1
|
305 |
+
activation=relu
|
306 |
+
|
307 |
+
[convolutional]
|
308 |
+
#sparse=1
|
309 |
+
batch_normalize=1
|
310 |
+
filters=256
|
311 |
+
size=3
|
312 |
+
stride=1
|
313 |
+
pad=1
|
314 |
+
activation=relu
|
315 |
+
|
316 |
+
[convolutional]
|
317 |
+
#sparse=1
|
318 |
+
batch_normalize=1
|
319 |
+
filters=256
|
320 |
+
size=3
|
321 |
+
stride=1
|
322 |
+
pad=1
|
323 |
+
activation=relu
|
324 |
+
|
325 |
+
[convolutional]
|
326 |
+
#sparse=1
|
327 |
+
batch_normalize=1
|
328 |
+
filters=256
|
329 |
+
size=3
|
330 |
+
stride=1
|
331 |
+
pad=1
|
332 |
+
activation=relu
|
333 |
+
|
334 |
+
[route]
|
335 |
+
layers = -1,-3,-5,-7
|
336 |
+
|
337 |
+
[convolutional]
|
338 |
+
#sparse=1
|
339 |
+
batch_normalize=1
|
340 |
+
filters=512
|
341 |
+
size=1
|
342 |
+
stride=1
|
343 |
+
pad=1
|
344 |
+
activation=relu
|
345 |
+
|
346 |
+
|
347 |
+
##################################
|
348 |
+
|
349 |
+
### ASPPCSP ###
|
350 |
+
[convolutional]
|
351 |
+
#sparse=1
|
352 |
+
batch_normalize=1
|
353 |
+
filters=256
|
354 |
+
size=1
|
355 |
+
stride=1
|
356 |
+
pad=1
|
357 |
+
activation=relu
|
358 |
+
|
359 |
+
[route]
|
360 |
+
layers = -2
|
361 |
+
|
362 |
+
[convolutional]
|
363 |
+
#sparse=1
|
364 |
+
batch_normalize=1
|
365 |
+
filters=256
|
366 |
+
size=1
|
367 |
+
stride=1
|
368 |
+
pad=1
|
369 |
+
activation=relu
|
370 |
+
|
371 |
+
### ASPP ###
|
372 |
+
[convolutional]
|
373 |
+
#sparse=1
|
374 |
+
batch_normalize=1
|
375 |
+
filters=256
|
376 |
+
size=1
|
377 |
+
stride=1
|
378 |
+
pad=1
|
379 |
+
dilation=1
|
380 |
+
activation=relu
|
381 |
+
|
382 |
+
[route]
|
383 |
+
layers=-2
|
384 |
+
|
385 |
+
[convolutional]
|
386 |
+
#sparse=1
|
387 |
+
batch_normalize=1
|
388 |
+
filters=256
|
389 |
+
size=1
|
390 |
+
stride=1
|
391 |
+
pad=1
|
392 |
+
dilation=3
|
393 |
+
activation=relu
|
394 |
+
|
395 |
+
[route]
|
396 |
+
layers=-4
|
397 |
+
|
398 |
+
[convolutional]
|
399 |
+
#sparse=1
|
400 |
+
batch_normalize=1
|
401 |
+
filters=256
|
402 |
+
size=1
|
403 |
+
stride=1
|
404 |
+
pad=1
|
405 |
+
dilation=5
|
406 |
+
activation=relu
|
407 |
+
|
408 |
+
[route]
|
409 |
+
layers=-1,-3,-5,-6
|
410 |
+
### End ASPP ###
|
411 |
+
|
412 |
+
[convolutional]
|
413 |
+
#sparse=1
|
414 |
+
batch_normalize=1
|
415 |
+
filters=256
|
416 |
+
size=1
|
417 |
+
stride=1
|
418 |
+
pad=1
|
419 |
+
activation=relu
|
420 |
+
|
421 |
+
[route]
|
422 |
+
layers = -10,-1
|
423 |
+
|
424 |
+
# 44
|
425 |
+
[convolutional]
|
426 |
+
#sparse=1
|
427 |
+
batch_normalize=1
|
428 |
+
filters=256
|
429 |
+
size=1
|
430 |
+
stride=1
|
431 |
+
pad=1
|
432 |
+
activation=relu
|
433 |
+
### End ASPPCSP ###
|
434 |
+
|
435 |
+
[convolutional]
|
436 |
+
#sparse=1
|
437 |
+
batch_normalize=1
|
438 |
+
filters=128
|
439 |
+
size=1
|
440 |
+
stride=1
|
441 |
+
pad=1
|
442 |
+
activation=relu
|
443 |
+
|
444 |
+
[upsample]
|
445 |
+
stride=2
|
446 |
+
|
447 |
+
[route]
|
448 |
+
layers = 30
|
449 |
+
|
450 |
+
[convolutional]
|
451 |
+
#sparse=1
|
452 |
+
batch_normalize=1
|
453 |
+
filters=128
|
454 |
+
size=1
|
455 |
+
stride=1
|
456 |
+
pad=1
|
457 |
+
activation=relu
|
458 |
+
|
459 |
+
[route]
|
460 |
+
layers = -1,-3
|
461 |
+
|
462 |
+
[convolutional]
|
463 |
+
#sparse=1
|
464 |
+
batch_normalize=1
|
465 |
+
filters=64
|
466 |
+
size=1
|
467 |
+
stride=1
|
468 |
+
pad=1
|
469 |
+
activation=relu
|
470 |
+
|
471 |
+
[route]
|
472 |
+
layers=-2
|
473 |
+
|
474 |
+
[convolutional]
|
475 |
+
#sparse=1
|
476 |
+
batch_normalize=1
|
477 |
+
filters=64
|
478 |
+
size=1
|
479 |
+
stride=1
|
480 |
+
pad=1
|
481 |
+
activation=relu
|
482 |
+
|
483 |
+
[convolutional]
|
484 |
+
#sparse=1
|
485 |
+
batch_normalize=1
|
486 |
+
filters=64
|
487 |
+
size=3
|
488 |
+
stride=1
|
489 |
+
pad=1
|
490 |
+
activation=relu
|
491 |
+
|
492 |
+
[convolutional]
|
493 |
+
#sparse=1
|
494 |
+
batch_normalize=1
|
495 |
+
filters=64
|
496 |
+
size=3
|
497 |
+
stride=1
|
498 |
+
pad=1
|
499 |
+
activation=relu
|
500 |
+
|
501 |
+
[convolutional]
|
502 |
+
#sparse=1
|
503 |
+
batch_normalize=1
|
504 |
+
filters=64
|
505 |
+
size=3
|
506 |
+
stride=1
|
507 |
+
pad=1
|
508 |
+
activation=relu
|
509 |
+
|
510 |
+
[convolutional]
|
511 |
+
#sparse=1
|
512 |
+
batch_normalize=1
|
513 |
+
filters=64
|
514 |
+
size=3
|
515 |
+
stride=1
|
516 |
+
pad=1
|
517 |
+
activation=relu
|
518 |
+
|
519 |
+
[route]
|
520 |
+
layers = -1,-3,-5,-7
|
521 |
+
|
522 |
+
|
523 |
+
# 56
|
524 |
+
[convolutional]
|
525 |
+
#sparse=1
|
526 |
+
batch_normalize=1
|
527 |
+
filters=128
|
528 |
+
size=1
|
529 |
+
stride=1
|
530 |
+
pad=1
|
531 |
+
activation=relu
|
532 |
+
|
533 |
+
[convolutional]
|
534 |
+
#sparse=1
|
535 |
+
batch_normalize=1
|
536 |
+
filters=64
|
537 |
+
size=1
|
538 |
+
stride=1
|
539 |
+
pad=1
|
540 |
+
activation=relu
|
541 |
+
|
542 |
+
[upsample]
|
543 |
+
stride=2
|
544 |
+
|
545 |
+
[route]
|
546 |
+
layers = 20
|
547 |
+
|
548 |
+
[convolutional]
|
549 |
+
#sparse=1
|
550 |
+
batch_normalize=1
|
551 |
+
filters=64
|
552 |
+
size=1
|
553 |
+
stride=1
|
554 |
+
pad=1
|
555 |
+
activation=relu
|
556 |
+
|
557 |
+
[route]
|
558 |
+
layers = -1,-3
|
559 |
+
|
560 |
+
[convolutional]
|
561 |
+
#sparse=1
|
562 |
+
batch_normalize=1
|
563 |
+
filters=32
|
564 |
+
size=1
|
565 |
+
stride=1
|
566 |
+
pad=1
|
567 |
+
activation=relu
|
568 |
+
|
569 |
+
[route]
|
570 |
+
layers=-2
|
571 |
+
|
572 |
+
[convolutional]
|
573 |
+
#sparse=1
|
574 |
+
batch_normalize=1
|
575 |
+
filters=32
|
576 |
+
size=1
|
577 |
+
stride=1
|
578 |
+
pad=1
|
579 |
+
activation=relu
|
580 |
+
|
581 |
+
[convolutional]
|
582 |
+
#sparse=1
|
583 |
+
batch_normalize=1
|
584 |
+
filters=32
|
585 |
+
size=3
|
586 |
+
stride=1
|
587 |
+
pad=1
|
588 |
+
activation=relu
|
589 |
+
|
590 |
+
[convolutional]
|
591 |
+
#sparse=1
|
592 |
+
batch_normalize=1
|
593 |
+
filters=32
|
594 |
+
size=3
|
595 |
+
stride=1
|
596 |
+
pad=1
|
597 |
+
activation=relu
|
598 |
+
|
599 |
+
[convolutional]
|
600 |
+
#sparse=1
|
601 |
+
batch_normalize=1
|
602 |
+
filters=32
|
603 |
+
size=3
|
604 |
+
stride=1
|
605 |
+
pad=1
|
606 |
+
activation=relu
|
607 |
+
|
608 |
+
[convolutional]
|
609 |
+
#sparse=1
|
610 |
+
batch_normalize=1
|
611 |
+
filters=32
|
612 |
+
size=3
|
613 |
+
stride=1
|
614 |
+
pad=1
|
615 |
+
activation=relu
|
616 |
+
|
617 |
+
[route]
|
618 |
+
layers = -1,-3,-5,-7
|
619 |
+
|
620 |
+
[convolutional]
|
621 |
+
#sparse=1
|
622 |
+
batch_normalize=1
|
623 |
+
filters=64
|
624 |
+
size=1
|
625 |
+
stride=1
|
626 |
+
pad=1
|
627 |
+
activation=relu
|
628 |
+
|
629 |
+
|
630 |
+
[convolutional]
|
631 |
+
#sparse=1
|
632 |
+
batch_normalize=1
|
633 |
+
size=3
|
634 |
+
stride=2
|
635 |
+
pad=1
|
636 |
+
filters=128
|
637 |
+
activation=relu
|
638 |
+
|
639 |
+
[route]
|
640 |
+
layers = -1,67
|
641 |
+
|
642 |
+
[convolutional]
|
643 |
+
#sparse=1
|
644 |
+
batch_normalize=1
|
645 |
+
filters=64
|
646 |
+
size=1
|
647 |
+
stride=1
|
648 |
+
pad=1
|
649 |
+
activation=relu
|
650 |
+
|
651 |
+
[route]
|
652 |
+
layers=-2
|
653 |
+
|
654 |
+
[convolutional]
|
655 |
+
#sparse=1
|
656 |
+
batch_normalize=1
|
657 |
+
filters=64
|
658 |
+
size=1
|
659 |
+
stride=1
|
660 |
+
pad=1
|
661 |
+
activation=relu
|
662 |
+
|
663 |
+
[convolutional]
|
664 |
+
#sparse=1
|
665 |
+
batch_normalize=1
|
666 |
+
filters=64
|
667 |
+
size=3
|
668 |
+
stride=1
|
669 |
+
pad=1
|
670 |
+
activation=relu
|
671 |
+
|
672 |
+
[convolutional]
|
673 |
+
#sparse=1
|
674 |
+
batch_normalize=1
|
675 |
+
filters=64
|
676 |
+
size=3
|
677 |
+
stride=1
|
678 |
+
pad=1
|
679 |
+
activation=relu
|
680 |
+
|
681 |
+
[convolutional]
|
682 |
+
#sparse=1
|
683 |
+
batch_normalize=1
|
684 |
+
filters=64
|
685 |
+
size=3
|
686 |
+
stride=1
|
687 |
+
pad=1
|
688 |
+
activation=relu
|
689 |
+
|
690 |
+
[convolutional]
|
691 |
+
#sparse=1
|
692 |
+
batch_normalize=1
|
693 |
+
filters=64
|
694 |
+
size=3
|
695 |
+
stride=1
|
696 |
+
pad=1
|
697 |
+
activation=relu
|
698 |
+
|
699 |
+
[route]
|
700 |
+
layers = -1,-3,-5,-7
|
701 |
+
|
702 |
+
[convolutional]
|
703 |
+
#sparse=1
|
704 |
+
batch_normalize=1
|
705 |
+
filters=128
|
706 |
+
size=1
|
707 |
+
stride=1
|
708 |
+
pad=1
|
709 |
+
activation=relu
|
710 |
+
|
711 |
+
[convolutional]
|
712 |
+
#sparse=1
|
713 |
+
batch_normalize=1
|
714 |
+
size=3
|
715 |
+
stride=2
|
716 |
+
pad=1
|
717 |
+
filters=256
|
718 |
+
activation=relu
|
719 |
+
|
720 |
+
[route]
|
721 |
+
layers = -1,53
|
722 |
+
|
723 |
+
[convolutional]
|
724 |
+
#sparse=1
|
725 |
+
batch_normalize=1
|
726 |
+
filters=128
|
727 |
+
size=1
|
728 |
+
stride=1
|
729 |
+
pad=1
|
730 |
+
activation=relu
|
731 |
+
|
732 |
+
[route]
|
733 |
+
layers=-2
|
734 |
+
|
735 |
+
[convolutional]
|
736 |
+
#sparse=1
|
737 |
+
batch_normalize=1
|
738 |
+
filters=128
|
739 |
+
size=1
|
740 |
+
stride=1
|
741 |
+
pad=1
|
742 |
+
activation=relu
|
743 |
+
|
744 |
+
[convolutional]
|
745 |
+
#sparse=1
|
746 |
+
batch_normalize=1
|
747 |
+
filters=128
|
748 |
+
size=3
|
749 |
+
stride=1
|
750 |
+
pad=1
|
751 |
+
activation=relu
|
752 |
+
|
753 |
+
[convolutional]
|
754 |
+
#sparse=1
|
755 |
+
batch_normalize=1
|
756 |
+
filters=128
|
757 |
+
size=3
|
758 |
+
stride=1
|
759 |
+
pad=1
|
760 |
+
activation=relu
|
761 |
+
|
762 |
+
[convolutional]
|
763 |
+
#sparse=1
|
764 |
+
batch_normalize=1
|
765 |
+
filters=128
|
766 |
+
size=3
|
767 |
+
stride=1
|
768 |
+
pad=1
|
769 |
+
activation=relu
|
770 |
+
|
771 |
+
[convolutional]
|
772 |
+
#sparse=1
|
773 |
+
batch_normalize=1
|
774 |
+
filters=128
|
775 |
+
size=3
|
776 |
+
stride=1
|
777 |
+
pad=1
|
778 |
+
activation=relu
|
779 |
+
|
780 |
+
[route]
|
781 |
+
layers = -1,-3,-5,-7
|
782 |
+
|
783 |
+
[convolutional]
|
784 |
+
#sparse=1
|
785 |
+
batch_normalize=1
|
786 |
+
filters=256
|
787 |
+
size=1
|
788 |
+
stride=1
|
789 |
+
pad=1
|
790 |
+
activation=relu
|
791 |
+
|
792 |
+
#############################
|
793 |
+
|
794 |
+
# ============ End of Neck ============ #
|
795 |
+
|
796 |
+
# ============ Head ============ #
|
797 |
+
|
798 |
+
|
799 |
+
# P3
|
800 |
+
[route]
|
801 |
+
layers = 80
|
802 |
+
|
803 |
+
[convolutional]
|
804 |
+
#sparse=1
|
805 |
+
batch_normalize=1
|
806 |
+
size=3
|
807 |
+
stride=1
|
808 |
+
pad=1
|
809 |
+
filters=128
|
810 |
+
activation=relu
|
811 |
+
|
812 |
+
[convolutional]
|
813 |
+
##sparse=1
|
814 |
+
size=1
|
815 |
+
stride=1
|
816 |
+
pad=1
|
817 |
+
filters=18
|
818 |
+
#activation=linear
|
819 |
+
activation=logistic
|
820 |
+
|
821 |
+
[yolo]
|
822 |
+
mask = 0,1,2
|
823 |
+
anchors = 4, 7, 7, 14, 12, 23, 20, 36, 32, 56, 54, 86, 84,145, 148,218, 254,338
|
824 |
+
classes=1
|
825 |
+
num=9
|
826 |
+
jitter=.3
|
827 |
+
scale_x_y = 2.0
|
828 |
+
ignore_thresh = .5
|
829 |
+
truth_thresh = 1
|
830 |
+
#random=1
|
831 |
+
resize=1.5
|
832 |
+
new_coords=1
|
833 |
+
iou_normalizer=0.05
|
834 |
+
iou_loss=ciou
|
835 |
+
|
836 |
+
# P4
|
837 |
+
[route]
|
838 |
+
layers = 91
|
839 |
+
|
840 |
+
[convolutional]
|
841 |
+
#sparse=1
|
842 |
+
batch_normalize=1
|
843 |
+
size=3
|
844 |
+
stride=1
|
845 |
+
pad=1
|
846 |
+
filters=256
|
847 |
+
activation=relu
|
848 |
+
|
849 |
+
[convolutional]
|
850 |
+
##sparse=1
|
851 |
+
size=1
|
852 |
+
stride=1
|
853 |
+
pad=1
|
854 |
+
filters=18
|
855 |
+
#activation=linear
|
856 |
+
activation=logistic
|
857 |
+
|
858 |
+
[yolo]
|
859 |
+
mask = 3,4,5
|
860 |
+
anchors = 4, 7, 7, 14, 12, 23, 20, 36, 32, 56, 54, 86, 84,145, 148,218, 254,338
|
861 |
+
classes=1
|
862 |
+
num=9
|
863 |
+
jitter=.3
|
864 |
+
scale_x_y = 2.0
|
865 |
+
ignore_thresh = .5
|
866 |
+
truth_thresh = 1
|
867 |
+
resize=1.5
|
868 |
+
new_coords=1
|
869 |
+
iou_normalizer=0.05
|
870 |
+
iou_loss=ciou
|
871 |
+
|
872 |
+
|
873 |
+
# P5
|
874 |
+
[route]
|
875 |
+
layers = 102
|
876 |
+
|
877 |
+
[convolutional]
|
878 |
+
#sparse=1
|
879 |
+
batch_normalize=1
|
880 |
+
size=3
|
881 |
+
stride=1
|
882 |
+
pad=1
|
883 |
+
filters=512
|
884 |
+
activation=relu
|
885 |
+
|
886 |
+
[convolutional]
|
887 |
+
##sparse=1
|
888 |
+
size=1
|
889 |
+
stride=1
|
890 |
+
pad=1
|
891 |
+
filters=18
|
892 |
+
#activation=linear
|
893 |
+
activation=logistic
|
894 |
+
|
895 |
+
[yolo]
|
896 |
+
mask = 6,7,8
|
897 |
+
anchors = 4, 7, 7, 14, 12, 23, 20, 36, 32, 56, 54, 86, 84,145, 148,218, 254,338
|
898 |
+
classes=1
|
899 |
+
num=9
|
900 |
+
jitter=.3
|
901 |
+
scale_x_y = 2.0
|
902 |
+
ignore_thresh = .5
|
903 |
+
truth_thresh = 1
|
904 |
+
resize=1.5
|
905 |
+
new_coords=1
|
906 |
+
iou_normalizer=0.05
|
907 |
+
iou_loss=ciou
|
908 |
+
|
face/wider_face.names
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
face
|
head_body/crowdhuman.names
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
head
|
2 |
+
body
|
head_body/lightnet-head_body-1024x768.cfg
ADDED
@@ -0,0 +1,909 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
[net]
|
2 |
+
batch=256
|
3 |
+
subdivisions=16
|
4 |
+
width=1024
|
5 |
+
height=768
|
6 |
+
channels=3
|
7 |
+
momentum=0.9
|
8 |
+
decay=0.0005
|
9 |
+
angle=0
|
10 |
+
saturation = 1.5
|
11 |
+
exposure = 1.5
|
12 |
+
hue=.1
|
13 |
+
|
14 |
+
learning_rate=0.001
|
15 |
+
burn_in=50
|
16 |
+
max_batches = 2000
|
17 |
+
policy=steps
|
18 |
+
|
19 |
+
steps=100,400,800,1600
|
20 |
+
scales=.5,.5,.5,.5
|
21 |
+
gaussian_noise=1
|
22 |
+
flip=1
|
23 |
+
|
24 |
+
##sparse=1 : 2:4 structured sparsity
|
25 |
+
|
26 |
+
[convolutional]
|
27 |
+
batch_normalize=1
|
28 |
+
filters=32
|
29 |
+
size=3
|
30 |
+
stride=2
|
31 |
+
pad=1
|
32 |
+
activation=relu
|
33 |
+
|
34 |
+
[convolutional]
|
35 |
+
#sparse=1
|
36 |
+
batch_normalize=1
|
37 |
+
filters=64
|
38 |
+
size=3
|
39 |
+
stride=2
|
40 |
+
pad=1
|
41 |
+
activation=relu
|
42 |
+
|
43 |
+
[convolutional]
|
44 |
+
#sparse=1
|
45 |
+
batch_normalize=1
|
46 |
+
filters=32
|
47 |
+
size=1
|
48 |
+
stride=1
|
49 |
+
pad=1
|
50 |
+
activation=relu
|
51 |
+
|
52 |
+
[route]
|
53 |
+
layers=-2
|
54 |
+
|
55 |
+
[convolutional]
|
56 |
+
#sparse=1
|
57 |
+
batch_normalize=1
|
58 |
+
filters=32
|
59 |
+
size=1
|
60 |
+
stride=1
|
61 |
+
pad=1
|
62 |
+
activation=relu
|
63 |
+
|
64 |
+
[convolutional]
|
65 |
+
#sparse=1
|
66 |
+
batch_normalize=1
|
67 |
+
filters=32
|
68 |
+
size=3
|
69 |
+
stride=1
|
70 |
+
pad=1
|
71 |
+
activation=relu
|
72 |
+
|
73 |
+
[convolutional]
|
74 |
+
#sparse=1
|
75 |
+
batch_normalize=1
|
76 |
+
filters=32
|
77 |
+
size=3
|
78 |
+
stride=1
|
79 |
+
pad=1
|
80 |
+
activation=relu
|
81 |
+
|
82 |
+
[convolutional]
|
83 |
+
#sparse=1
|
84 |
+
batch_normalize=1
|
85 |
+
filters=32
|
86 |
+
size=3
|
87 |
+
stride=1
|
88 |
+
pad=1
|
89 |
+
activation=relu
|
90 |
+
|
91 |
+
[convolutional]
|
92 |
+
#sparse=1
|
93 |
+
batch_normalize=1
|
94 |
+
filters=32
|
95 |
+
size=3
|
96 |
+
stride=1
|
97 |
+
pad=1
|
98 |
+
activation=relu
|
99 |
+
|
100 |
+
[route]
|
101 |
+
layers = -1,-3,-5,-7
|
102 |
+
|
103 |
+
[convolutional]
|
104 |
+
#sparse=1
|
105 |
+
batch_normalize=1
|
106 |
+
filters=64
|
107 |
+
size=1
|
108 |
+
stride=1
|
109 |
+
pad=1
|
110 |
+
activation=relu
|
111 |
+
|
112 |
+
[convolutional]
|
113 |
+
#sparse=1
|
114 |
+
batch_normalize=1
|
115 |
+
filters=64
|
116 |
+
size=3
|
117 |
+
stride=2
|
118 |
+
pad=1
|
119 |
+
activation=relu
|
120 |
+
|
121 |
+
|
122 |
+
[convolutional]
|
123 |
+
#sparse=1
|
124 |
+
batch_normalize=1
|
125 |
+
filters=64
|
126 |
+
size=1
|
127 |
+
stride=1
|
128 |
+
pad=1
|
129 |
+
activation=relu
|
130 |
+
|
131 |
+
[route]
|
132 |
+
layers=-2
|
133 |
+
|
134 |
+
[convolutional]
|
135 |
+
#sparse=1
|
136 |
+
batch_normalize=1
|
137 |
+
filters=64
|
138 |
+
size=1
|
139 |
+
stride=1
|
140 |
+
pad=1
|
141 |
+
activation=relu
|
142 |
+
|
143 |
+
[convolutional]
|
144 |
+
#sparse=1
|
145 |
+
batch_normalize=1
|
146 |
+
filters=64
|
147 |
+
size=3
|
148 |
+
stride=1
|
149 |
+
pad=1
|
150 |
+
activation=relu
|
151 |
+
|
152 |
+
[convolutional]
|
153 |
+
#sparse=1
|
154 |
+
batch_normalize=1
|
155 |
+
filters=64
|
156 |
+
size=3
|
157 |
+
stride=1
|
158 |
+
pad=1
|
159 |
+
activation=relu
|
160 |
+
|
161 |
+
[convolutional]
|
162 |
+
#sparse=1
|
163 |
+
batch_normalize=1
|
164 |
+
filters=64
|
165 |
+
size=3
|
166 |
+
stride=1
|
167 |
+
pad=1
|
168 |
+
activation=relu
|
169 |
+
|
170 |
+
[convolutional]
|
171 |
+
#sparse=1
|
172 |
+
batch_normalize=1
|
173 |
+
filters=64
|
174 |
+
size=3
|
175 |
+
stride=1
|
176 |
+
pad=1
|
177 |
+
activation=relu
|
178 |
+
|
179 |
+
[route]
|
180 |
+
layers = -1,-3,-5,-7
|
181 |
+
|
182 |
+
[convolutional]
|
183 |
+
#sparse=1
|
184 |
+
batch_normalize=1
|
185 |
+
filters=128
|
186 |
+
size=1
|
187 |
+
stride=1
|
188 |
+
pad=1
|
189 |
+
activation=relu
|
190 |
+
|
191 |
+
[convolutional]
|
192 |
+
#sparse=1
|
193 |
+
batch_normalize=1
|
194 |
+
filters=128
|
195 |
+
size=3
|
196 |
+
stride=2
|
197 |
+
pad=1
|
198 |
+
activation=relu
|
199 |
+
|
200 |
+
[convolutional]
|
201 |
+
#sparse=1
|
202 |
+
batch_normalize=1
|
203 |
+
filters=128
|
204 |
+
size=1
|
205 |
+
stride=1
|
206 |
+
pad=1
|
207 |
+
activation=relu
|
208 |
+
|
209 |
+
[route]
|
210 |
+
layers=-2
|
211 |
+
|
212 |
+
[convolutional]
|
213 |
+
#sparse=1
|
214 |
+
batch_normalize=1
|
215 |
+
filters=128
|
216 |
+
size=1
|
217 |
+
stride=1
|
218 |
+
pad=1
|
219 |
+
activation=relu
|
220 |
+
|
221 |
+
[convolutional]
|
222 |
+
#sparse=1
|
223 |
+
batch_normalize=1
|
224 |
+
filters=128
|
225 |
+
size=3
|
226 |
+
stride=1
|
227 |
+
pad=1
|
228 |
+
activation=relu
|
229 |
+
|
230 |
+
[convolutional]
|
231 |
+
#sparse=1
|
232 |
+
batch_normalize=1
|
233 |
+
filters=128
|
234 |
+
size=3
|
235 |
+
stride=1
|
236 |
+
pad=1
|
237 |
+
activation=relu
|
238 |
+
|
239 |
+
[convolutional]
|
240 |
+
#sparse=1
|
241 |
+
batch_normalize=1
|
242 |
+
filters=128
|
243 |
+
size=3
|
244 |
+
stride=1
|
245 |
+
pad=1
|
246 |
+
activation=relu
|
247 |
+
|
248 |
+
[convolutional]
|
249 |
+
#sparse=1
|
250 |
+
batch_normalize=1
|
251 |
+
filters=128
|
252 |
+
size=3
|
253 |
+
stride=1
|
254 |
+
pad=1
|
255 |
+
activation=relu
|
256 |
+
|
257 |
+
[route]
|
258 |
+
layers = -1,-3,-5,-7
|
259 |
+
|
260 |
+
[convolutional]
|
261 |
+
#sparse=1
|
262 |
+
batch_normalize=1
|
263 |
+
filters=256
|
264 |
+
size=1
|
265 |
+
stride=1
|
266 |
+
pad=1
|
267 |
+
activation=relu
|
268 |
+
|
269 |
+
[convolutional]
|
270 |
+
#sparse=1
|
271 |
+
batch_normalize=1
|
272 |
+
filters=256
|
273 |
+
size=3
|
274 |
+
stride=2
|
275 |
+
pad=1
|
276 |
+
activation=relu
|
277 |
+
|
278 |
+
[convolutional]
|
279 |
+
#sparse=1
|
280 |
+
batch_normalize=1
|
281 |
+
filters=256
|
282 |
+
size=1
|
283 |
+
stride=1
|
284 |
+
pad=1
|
285 |
+
activation=relu
|
286 |
+
|
287 |
+
[route]
|
288 |
+
layers=-2
|
289 |
+
|
290 |
+
[convolutional]
|
291 |
+
#sparse=1
|
292 |
+
batch_normalize=1
|
293 |
+
filters=256
|
294 |
+
size=1
|
295 |
+
stride=1
|
296 |
+
pad=1
|
297 |
+
activation=relu
|
298 |
+
|
299 |
+
[convolutional]
|
300 |
+
#sparse=1
|
301 |
+
batch_normalize=1
|
302 |
+
filters=256
|
303 |
+
size=3
|
304 |
+
stride=1
|
305 |
+
pad=1
|
306 |
+
activation=relu
|
307 |
+
|
308 |
+
[convolutional]
|
309 |
+
#sparse=1
|
310 |
+
batch_normalize=1
|
311 |
+
filters=256
|
312 |
+
size=3
|
313 |
+
stride=1
|
314 |
+
pad=1
|
315 |
+
activation=relu
|
316 |
+
|
317 |
+
[convolutional]
|
318 |
+
#sparse=1
|
319 |
+
batch_normalize=1
|
320 |
+
filters=256
|
321 |
+
size=3
|
322 |
+
stride=1
|
323 |
+
pad=1
|
324 |
+
activation=relu
|
325 |
+
|
326 |
+
[convolutional]
|
327 |
+
#sparse=1
|
328 |
+
batch_normalize=1
|
329 |
+
filters=256
|
330 |
+
size=3
|
331 |
+
stride=1
|
332 |
+
pad=1
|
333 |
+
activation=relu
|
334 |
+
|
335 |
+
[route]
|
336 |
+
layers = -1,-3,-5,-7
|
337 |
+
|
338 |
+
[convolutional]
|
339 |
+
#sparse=1
|
340 |
+
batch_normalize=1
|
341 |
+
filters=512
|
342 |
+
size=1
|
343 |
+
stride=1
|
344 |
+
pad=1
|
345 |
+
activation=relu
|
346 |
+
|
347 |
+
|
348 |
+
##################################
|
349 |
+
|
350 |
+
### ASPPCSP ###
|
351 |
+
[convolutional]
|
352 |
+
#sparse=1
|
353 |
+
batch_normalize=1
|
354 |
+
filters=256
|
355 |
+
size=1
|
356 |
+
stride=1
|
357 |
+
pad=1
|
358 |
+
activation=relu
|
359 |
+
|
360 |
+
[route]
|
361 |
+
layers = -2
|
362 |
+
|
363 |
+
[convolutional]
|
364 |
+
#sparse=1
|
365 |
+
batch_normalize=1
|
366 |
+
filters=256
|
367 |
+
size=1
|
368 |
+
stride=1
|
369 |
+
pad=1
|
370 |
+
activation=relu
|
371 |
+
|
372 |
+
### ASPP ###
|
373 |
+
[convolutional]
|
374 |
+
#sparse=1
|
375 |
+
batch_normalize=1
|
376 |
+
filters=256
|
377 |
+
size=1
|
378 |
+
stride=1
|
379 |
+
pad=1
|
380 |
+
dilation=1
|
381 |
+
activation=relu
|
382 |
+
|
383 |
+
[route]
|
384 |
+
layers=-2
|
385 |
+
|
386 |
+
[convolutional]
|
387 |
+
#sparse=1
|
388 |
+
batch_normalize=1
|
389 |
+
filters=256
|
390 |
+
size=1
|
391 |
+
stride=1
|
392 |
+
pad=1
|
393 |
+
dilation=3
|
394 |
+
activation=relu
|
395 |
+
|
396 |
+
[route]
|
397 |
+
layers=-4
|
398 |
+
|
399 |
+
[convolutional]
|
400 |
+
#sparse=1
|
401 |
+
batch_normalize=1
|
402 |
+
filters=256
|
403 |
+
size=1
|
404 |
+
stride=1
|
405 |
+
pad=1
|
406 |
+
dilation=5
|
407 |
+
activation=relu
|
408 |
+
|
409 |
+
[route]
|
410 |
+
layers=-1,-3,-5,-6
|
411 |
+
### End ASPP ###
|
412 |
+
|
413 |
+
[convolutional]
|
414 |
+
#sparse=1
|
415 |
+
batch_normalize=1
|
416 |
+
filters=256
|
417 |
+
size=1
|
418 |
+
stride=1
|
419 |
+
pad=1
|
420 |
+
activation=relu
|
421 |
+
|
422 |
+
[route]
|
423 |
+
layers = -10,-1
|
424 |
+
|
425 |
+
# 44
|
426 |
+
[convolutional]
|
427 |
+
#sparse=1
|
428 |
+
batch_normalize=1
|
429 |
+
filters=256
|
430 |
+
size=1
|
431 |
+
stride=1
|
432 |
+
pad=1
|
433 |
+
activation=relu
|
434 |
+
### End ASPPCSP ###
|
435 |
+
|
436 |
+
[convolutional]
|
437 |
+
#sparse=1
|
438 |
+
batch_normalize=1
|
439 |
+
filters=128
|
440 |
+
size=1
|
441 |
+
stride=1
|
442 |
+
pad=1
|
443 |
+
activation=relu
|
444 |
+
|
445 |
+
[upsample]
|
446 |
+
stride=2
|
447 |
+
|
448 |
+
[route]
|
449 |
+
layers = 30
|
450 |
+
|
451 |
+
[convolutional]
|
452 |
+
#sparse=1
|
453 |
+
batch_normalize=1
|
454 |
+
filters=128
|
455 |
+
size=1
|
456 |
+
stride=1
|
457 |
+
pad=1
|
458 |
+
activation=relu
|
459 |
+
|
460 |
+
[route]
|
461 |
+
layers = -1,-3
|
462 |
+
|
463 |
+
[convolutional]
|
464 |
+
#sparse=1
|
465 |
+
batch_normalize=1
|
466 |
+
filters=64
|
467 |
+
size=1
|
468 |
+
stride=1
|
469 |
+
pad=1
|
470 |
+
activation=relu
|
471 |
+
|
472 |
+
[route]
|
473 |
+
layers=-2
|
474 |
+
|
475 |
+
[convolutional]
|
476 |
+
#sparse=1
|
477 |
+
batch_normalize=1
|
478 |
+
filters=64
|
479 |
+
size=1
|
480 |
+
stride=1
|
481 |
+
pad=1
|
482 |
+
activation=relu
|
483 |
+
|
484 |
+
[convolutional]
|
485 |
+
#sparse=1
|
486 |
+
batch_normalize=1
|
487 |
+
filters=64
|
488 |
+
size=3
|
489 |
+
stride=1
|
490 |
+
pad=1
|
491 |
+
activation=relu
|
492 |
+
|
493 |
+
[convolutional]
|
494 |
+
#sparse=1
|
495 |
+
batch_normalize=1
|
496 |
+
filters=64
|
497 |
+
size=3
|
498 |
+
stride=1
|
499 |
+
pad=1
|
500 |
+
activation=relu
|
501 |
+
|
502 |
+
[convolutional]
|
503 |
+
#sparse=1
|
504 |
+
batch_normalize=1
|
505 |
+
filters=64
|
506 |
+
size=3
|
507 |
+
stride=1
|
508 |
+
pad=1
|
509 |
+
activation=relu
|
510 |
+
|
511 |
+
[convolutional]
|
512 |
+
#sparse=1
|
513 |
+
batch_normalize=1
|
514 |
+
filters=64
|
515 |
+
size=3
|
516 |
+
stride=1
|
517 |
+
pad=1
|
518 |
+
activation=relu
|
519 |
+
|
520 |
+
[route]
|
521 |
+
layers = -1,-3,-5,-7
|
522 |
+
|
523 |
+
|
524 |
+
# 56
|
525 |
+
[convolutional]
|
526 |
+
#sparse=1
|
527 |
+
batch_normalize=1
|
528 |
+
filters=128
|
529 |
+
size=1
|
530 |
+
stride=1
|
531 |
+
pad=1
|
532 |
+
activation=relu
|
533 |
+
|
534 |
+
[convolutional]
|
535 |
+
#sparse=1
|
536 |
+
batch_normalize=1
|
537 |
+
filters=64
|
538 |
+
size=1
|
539 |
+
stride=1
|
540 |
+
pad=1
|
541 |
+
activation=relu
|
542 |
+
|
543 |
+
[upsample]
|
544 |
+
stride=2
|
545 |
+
|
546 |
+
[route]
|
547 |
+
layers = 20
|
548 |
+
|
549 |
+
[convolutional]
|
550 |
+
#sparse=1
|
551 |
+
batch_normalize=1
|
552 |
+
filters=64
|
553 |
+
size=1
|
554 |
+
stride=1
|
555 |
+
pad=1
|
556 |
+
activation=relu
|
557 |
+
|
558 |
+
[route]
|
559 |
+
layers = -1,-3
|
560 |
+
|
561 |
+
[convolutional]
|
562 |
+
#sparse=1
|
563 |
+
batch_normalize=1
|
564 |
+
filters=32
|
565 |
+
size=1
|
566 |
+
stride=1
|
567 |
+
pad=1
|
568 |
+
activation=relu
|
569 |
+
|
570 |
+
[route]
|
571 |
+
layers=-2
|
572 |
+
|
573 |
+
[convolutional]
|
574 |
+
#sparse=1
|
575 |
+
batch_normalize=1
|
576 |
+
filters=32
|
577 |
+
size=1
|
578 |
+
stride=1
|
579 |
+
pad=1
|
580 |
+
activation=relu
|
581 |
+
|
582 |
+
[convolutional]
|
583 |
+
#sparse=1
|
584 |
+
batch_normalize=1
|
585 |
+
filters=32
|
586 |
+
size=3
|
587 |
+
stride=1
|
588 |
+
pad=1
|
589 |
+
activation=relu
|
590 |
+
|
591 |
+
[convolutional]
|
592 |
+
#sparse=1
|
593 |
+
batch_normalize=1
|
594 |
+
filters=32
|
595 |
+
size=3
|
596 |
+
stride=1
|
597 |
+
pad=1
|
598 |
+
activation=relu
|
599 |
+
|
600 |
+
[convolutional]
|
601 |
+
#sparse=1
|
602 |
+
batch_normalize=1
|
603 |
+
filters=32
|
604 |
+
size=3
|
605 |
+
stride=1
|
606 |
+
pad=1
|
607 |
+
activation=relu
|
608 |
+
|
609 |
+
[convolutional]
|
610 |
+
#sparse=1
|
611 |
+
batch_normalize=1
|
612 |
+
filters=32
|
613 |
+
size=3
|
614 |
+
stride=1
|
615 |
+
pad=1
|
616 |
+
activation=relu
|
617 |
+
|
618 |
+
[route]
|
619 |
+
layers = -1,-3,-5,-7
|
620 |
+
|
621 |
+
[convolutional]
|
622 |
+
#sparse=1
|
623 |
+
batch_normalize=1
|
624 |
+
filters=64
|
625 |
+
size=1
|
626 |
+
stride=1
|
627 |
+
pad=1
|
628 |
+
activation=relu
|
629 |
+
|
630 |
+
|
631 |
+
[convolutional]
|
632 |
+
#sparse=1
|
633 |
+
batch_normalize=1
|
634 |
+
size=3
|
635 |
+
stride=2
|
636 |
+
pad=1
|
637 |
+
filters=128
|
638 |
+
activation=relu
|
639 |
+
|
640 |
+
[route]
|
641 |
+
layers = -1,67
|
642 |
+
|
643 |
+
[convolutional]
|
644 |
+
#sparse=1
|
645 |
+
batch_normalize=1
|
646 |
+
filters=64
|
647 |
+
size=1
|
648 |
+
stride=1
|
649 |
+
pad=1
|
650 |
+
activation=relu
|
651 |
+
|
652 |
+
[route]
|
653 |
+
layers=-2
|
654 |
+
|
655 |
+
[convolutional]
|
656 |
+
#sparse=1
|
657 |
+
batch_normalize=1
|
658 |
+
filters=64
|
659 |
+
size=1
|
660 |
+
stride=1
|
661 |
+
pad=1
|
662 |
+
activation=relu
|
663 |
+
|
664 |
+
[convolutional]
|
665 |
+
#sparse=1
|
666 |
+
batch_normalize=1
|
667 |
+
filters=64
|
668 |
+
size=3
|
669 |
+
stride=1
|
670 |
+
pad=1
|
671 |
+
activation=relu
|
672 |
+
|
673 |
+
[convolutional]
|
674 |
+
#sparse=1
|
675 |
+
batch_normalize=1
|
676 |
+
filters=64
|
677 |
+
size=3
|
678 |
+
stride=1
|
679 |
+
pad=1
|
680 |
+
activation=relu
|
681 |
+
|
682 |
+
[convolutional]
|
683 |
+
#sparse=1
|
684 |
+
batch_normalize=1
|
685 |
+
filters=64
|
686 |
+
size=3
|
687 |
+
stride=1
|
688 |
+
pad=1
|
689 |
+
activation=relu
|
690 |
+
|
691 |
+
[convolutional]
|
692 |
+
#sparse=1
|
693 |
+
batch_normalize=1
|
694 |
+
filters=64
|
695 |
+
size=3
|
696 |
+
stride=1
|
697 |
+
pad=1
|
698 |
+
activation=relu
|
699 |
+
|
700 |
+
[route]
|
701 |
+
layers = -1,-3,-5,-7
|
702 |
+
|
703 |
+
[convolutional]
|
704 |
+
#sparse=1
|
705 |
+
batch_normalize=1
|
706 |
+
filters=128
|
707 |
+
size=1
|
708 |
+
stride=1
|
709 |
+
pad=1
|
710 |
+
activation=relu
|
711 |
+
|
712 |
+
[convolutional]
|
713 |
+
#sparse=1
|
714 |
+
batch_normalize=1
|
715 |
+
size=3
|
716 |
+
stride=2
|
717 |
+
pad=1
|
718 |
+
filters=256
|
719 |
+
activation=relu
|
720 |
+
|
721 |
+
[route]
|
722 |
+
layers = -1,53
|
723 |
+
|
724 |
+
[convolutional]
|
725 |
+
#sparse=1
|
726 |
+
batch_normalize=1
|
727 |
+
filters=128
|
728 |
+
size=1
|
729 |
+
stride=1
|
730 |
+
pad=1
|
731 |
+
activation=relu
|
732 |
+
|
733 |
+
[route]
|
734 |
+
layers=-2
|
735 |
+
|
736 |
+
[convolutional]
|
737 |
+
#sparse=1
|
738 |
+
batch_normalize=1
|
739 |
+
filters=128
|
740 |
+
size=1
|
741 |
+
stride=1
|
742 |
+
pad=1
|
743 |
+
activation=relu
|
744 |
+
|
745 |
+
[convolutional]
|
746 |
+
#sparse=1
|
747 |
+
batch_normalize=1
|
748 |
+
filters=128
|
749 |
+
size=3
|
750 |
+
stride=1
|
751 |
+
pad=1
|
752 |
+
activation=relu
|
753 |
+
|
754 |
+
[convolutional]
|
755 |
+
#sparse=1
|
756 |
+
batch_normalize=1
|
757 |
+
filters=128
|
758 |
+
size=3
|
759 |
+
stride=1
|
760 |
+
pad=1
|
761 |
+
activation=relu
|
762 |
+
|
763 |
+
[convolutional]
|
764 |
+
#sparse=1
|
765 |
+
batch_normalize=1
|
766 |
+
filters=128
|
767 |
+
size=3
|
768 |
+
stride=1
|
769 |
+
pad=1
|
770 |
+
activation=relu
|
771 |
+
|
772 |
+
[convolutional]
|
773 |
+
#sparse=1
|
774 |
+
batch_normalize=1
|
775 |
+
filters=128
|
776 |
+
size=3
|
777 |
+
stride=1
|
778 |
+
pad=1
|
779 |
+
activation=relu
|
780 |
+
|
781 |
+
[route]
|
782 |
+
layers = -1,-3,-5,-7
|
783 |
+
|
784 |
+
[convolutional]
|
785 |
+
#sparse=1
|
786 |
+
batch_normalize=1
|
787 |
+
filters=256
|
788 |
+
size=1
|
789 |
+
stride=1
|
790 |
+
pad=1
|
791 |
+
activation=relu
|
792 |
+
|
793 |
+
#############################
|
794 |
+
|
795 |
+
# ============ End of Neck ============ #
|
796 |
+
|
797 |
+
# ============ Head ============ #
|
798 |
+
|
799 |
+
|
800 |
+
# P3
|
801 |
+
[route]
|
802 |
+
layers = 80
|
803 |
+
|
804 |
+
[convolutional]
|
805 |
+
#sparse=1
|
806 |
+
batch_normalize=1
|
807 |
+
size=3
|
808 |
+
stride=1
|
809 |
+
pad=1
|
810 |
+
filters=128
|
811 |
+
activation=relu
|
812 |
+
|
813 |
+
[convolutional]
|
814 |
+
##sparse=1
|
815 |
+
size=1
|
816 |
+
stride=1
|
817 |
+
pad=1
|
818 |
+
filters=21
|
819 |
+
#activation=linear
|
820 |
+
activation=logistic
|
821 |
+
|
822 |
+
[yolo]
|
823 |
+
mask = 0,1,2
|
824 |
+
anchors = 8, 11, 20, 31, 34, 66, 64, 93, 54,184, 120,174, 97,334, 176,448, 344,564
|
825 |
+
classes=2
|
826 |
+
num=9
|
827 |
+
jitter=.3
|
828 |
+
scale_x_y = 2.0
|
829 |
+
ignore_thresh = .5
|
830 |
+
truth_thresh = 1
|
831 |
+
#random=1
|
832 |
+
resize=1.5
|
833 |
+
new_coords=1
|
834 |
+
iou_normalizer=0.05
|
835 |
+
# iou_loss=ciou
|
836 |
+
|
837 |
+
# P4
|
838 |
+
[route]
|
839 |
+
layers = 91
|
840 |
+
|
841 |
+
[convolutional]
|
842 |
+
#sparse=1
|
843 |
+
batch_normalize=1
|
844 |
+
size=3
|
845 |
+
stride=1
|
846 |
+
pad=1
|
847 |
+
filters=256
|
848 |
+
activation=relu
|
849 |
+
|
850 |
+
[convolutional]
|
851 |
+
##sparse=1
|
852 |
+
size=1
|
853 |
+
stride=1
|
854 |
+
pad=1
|
855 |
+
filters=21
|
856 |
+
#activation=linear
|
857 |
+
activation=logistic
|
858 |
+
|
859 |
+
[yolo]
|
860 |
+
mask = 3,4,5
|
861 |
+
anchors = 8, 11, 20, 31, 34, 66, 64, 93, 54,184, 120,174, 97,334, 176,448, 344,564
|
862 |
+
classes=2
|
863 |
+
num=9
|
864 |
+
jitter=.3
|
865 |
+
scale_x_y = 2.0
|
866 |
+
ignore_thresh = .5
|
867 |
+
truth_thresh = 1
|
868 |
+
resize=1.5
|
869 |
+
new_coords=1
|
870 |
+
iou_normalizer=0.05
|
871 |
+
# iou_loss=ciou
|
872 |
+
|
873 |
+
|
874 |
+
# P5
|
875 |
+
[route]
|
876 |
+
layers = 102
|
877 |
+
|
878 |
+
[convolutional]
|
879 |
+
#sparse=1
|
880 |
+
batch_normalize=1
|
881 |
+
size=3
|
882 |
+
stride=1
|
883 |
+
pad=1
|
884 |
+
filters=512
|
885 |
+
activation=relu
|
886 |
+
|
887 |
+
[convolutional]
|
888 |
+
##sparse=1
|
889 |
+
size=1
|
890 |
+
stride=1
|
891 |
+
pad=1
|
892 |
+
filters=21
|
893 |
+
#activation=linear
|
894 |
+
activation=logistic
|
895 |
+
|
896 |
+
[yolo]
|
897 |
+
mask = 6,7,8
|
898 |
+
anchors = 8, 11, 20, 31, 34, 66, 64, 93, 54,184, 120,174, 97,334, 176,448, 344,564
|
899 |
+
classes=2
|
900 |
+
num=9
|
901 |
+
jitter=.3
|
902 |
+
scale_x_y = 2.0
|
903 |
+
ignore_thresh = .7
|
904 |
+
truth_thresh = 1
|
905 |
+
resize=1.5
|
906 |
+
new_coords=1
|
907 |
+
iou_normalizer=0.05
|
908 |
+
iou_loss=ciou
|
909 |
+
|
head_body/lightnet-head_body-640x640.cfg
ADDED
@@ -0,0 +1,909 @@
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|
|
|
1 |
+
[net]
|
2 |
+
batch=64
|
3 |
+
subdivisions=4
|
4 |
+
width=640
|
5 |
+
height=640
|
6 |
+
channels=3
|
7 |
+
momentum=0.9
|
8 |
+
decay=0.0005
|
9 |
+
angle=0
|
10 |
+
saturation = 1.5
|
11 |
+
exposure = 1.5
|
12 |
+
hue=.1
|
13 |
+
|
14 |
+
learning_rate=0.001
|
15 |
+
burn_in=500
|
16 |
+
max_batches = 70000
|
17 |
+
policy=steps
|
18 |
+
|
19 |
+
steps=12000,24000,35000,50000
|
20 |
+
scales=.5,.5,.5,.5
|
21 |
+
gaussian_noise=1
|
22 |
+
flip=1
|
23 |
+
|
24 |
+
##sparse=1 : 2:4 structured sparsity
|
25 |
+
|
26 |
+
[convolutional]
|
27 |
+
batch_normalize=1
|
28 |
+
filters=32
|
29 |
+
size=3
|
30 |
+
stride=2
|
31 |
+
pad=1
|
32 |
+
activation=relu
|
33 |
+
|
34 |
+
[convolutional]
|
35 |
+
#sparse=1
|
36 |
+
batch_normalize=1
|
37 |
+
filters=64
|
38 |
+
size=3
|
39 |
+
stride=2
|
40 |
+
pad=1
|
41 |
+
activation=relu
|
42 |
+
|
43 |
+
[convolutional]
|
44 |
+
#sparse=1
|
45 |
+
batch_normalize=1
|
46 |
+
filters=32
|
47 |
+
size=1
|
48 |
+
stride=1
|
49 |
+
pad=1
|
50 |
+
activation=relu
|
51 |
+
|
52 |
+
[route]
|
53 |
+
layers=-2
|
54 |
+
|
55 |
+
[convolutional]
|
56 |
+
#sparse=1
|
57 |
+
batch_normalize=1
|
58 |
+
filters=32
|
59 |
+
size=1
|
60 |
+
stride=1
|
61 |
+
pad=1
|
62 |
+
activation=relu
|
63 |
+
|
64 |
+
[convolutional]
|
65 |
+
#sparse=1
|
66 |
+
batch_normalize=1
|
67 |
+
filters=32
|
68 |
+
size=3
|
69 |
+
stride=1
|
70 |
+
pad=1
|
71 |
+
activation=relu
|
72 |
+
|
73 |
+
[convolutional]
|
74 |
+
#sparse=1
|
75 |
+
batch_normalize=1
|
76 |
+
filters=32
|
77 |
+
size=3
|
78 |
+
stride=1
|
79 |
+
pad=1
|
80 |
+
activation=relu
|
81 |
+
|
82 |
+
[convolutional]
|
83 |
+
#sparse=1
|
84 |
+
batch_normalize=1
|
85 |
+
filters=32
|
86 |
+
size=3
|
87 |
+
stride=1
|
88 |
+
pad=1
|
89 |
+
activation=relu
|
90 |
+
|
91 |
+
[convolutional]
|
92 |
+
#sparse=1
|
93 |
+
batch_normalize=1
|
94 |
+
filters=32
|
95 |
+
size=3
|
96 |
+
stride=1
|
97 |
+
pad=1
|
98 |
+
activation=relu
|
99 |
+
|
100 |
+
[route]
|
101 |
+
layers = -1,-3,-5,-7
|
102 |
+
|
103 |
+
[convolutional]
|
104 |
+
#sparse=1
|
105 |
+
batch_normalize=1
|
106 |
+
filters=64
|
107 |
+
size=1
|
108 |
+
stride=1
|
109 |
+
pad=1
|
110 |
+
activation=relu
|
111 |
+
|
112 |
+
[convolutional]
|
113 |
+
#sparse=1
|
114 |
+
batch_normalize=1
|
115 |
+
filters=64
|
116 |
+
size=3
|
117 |
+
stride=2
|
118 |
+
pad=1
|
119 |
+
activation=relu
|
120 |
+
|
121 |
+
|
122 |
+
[convolutional]
|
123 |
+
#sparse=1
|
124 |
+
batch_normalize=1
|
125 |
+
filters=64
|
126 |
+
size=1
|
127 |
+
stride=1
|
128 |
+
pad=1
|
129 |
+
activation=relu
|
130 |
+
|
131 |
+
[route]
|
132 |
+
layers=-2
|
133 |
+
|
134 |
+
[convolutional]
|
135 |
+
#sparse=1
|
136 |
+
batch_normalize=1
|
137 |
+
filters=64
|
138 |
+
size=1
|
139 |
+
stride=1
|
140 |
+
pad=1
|
141 |
+
activation=relu
|
142 |
+
|
143 |
+
[convolutional]
|
144 |
+
#sparse=1
|
145 |
+
batch_normalize=1
|
146 |
+
filters=64
|
147 |
+
size=3
|
148 |
+
stride=1
|
149 |
+
pad=1
|
150 |
+
activation=relu
|
151 |
+
|
152 |
+
[convolutional]
|
153 |
+
#sparse=1
|
154 |
+
batch_normalize=1
|
155 |
+
filters=64
|
156 |
+
size=3
|
157 |
+
stride=1
|
158 |
+
pad=1
|
159 |
+
activation=relu
|
160 |
+
|
161 |
+
[convolutional]
|
162 |
+
#sparse=1
|
163 |
+
batch_normalize=1
|
164 |
+
filters=64
|
165 |
+
size=3
|
166 |
+
stride=1
|
167 |
+
pad=1
|
168 |
+
activation=relu
|
169 |
+
|
170 |
+
[convolutional]
|
171 |
+
#sparse=1
|
172 |
+
batch_normalize=1
|
173 |
+
filters=64
|
174 |
+
size=3
|
175 |
+
stride=1
|
176 |
+
pad=1
|
177 |
+
activation=relu
|
178 |
+
|
179 |
+
[route]
|
180 |
+
layers = -1,-3,-5,-7
|
181 |
+
|
182 |
+
[convolutional]
|
183 |
+
#sparse=1
|
184 |
+
batch_normalize=1
|
185 |
+
filters=128
|
186 |
+
size=1
|
187 |
+
stride=1
|
188 |
+
pad=1
|
189 |
+
activation=relu
|
190 |
+
|
191 |
+
[convolutional]
|
192 |
+
#sparse=1
|
193 |
+
batch_normalize=1
|
194 |
+
filters=128
|
195 |
+
size=3
|
196 |
+
stride=2
|
197 |
+
pad=1
|
198 |
+
activation=relu
|
199 |
+
|
200 |
+
[convolutional]
|
201 |
+
#sparse=1
|
202 |
+
batch_normalize=1
|
203 |
+
filters=128
|
204 |
+
size=1
|
205 |
+
stride=1
|
206 |
+
pad=1
|
207 |
+
activation=relu
|
208 |
+
|
209 |
+
[route]
|
210 |
+
layers=-2
|
211 |
+
|
212 |
+
[convolutional]
|
213 |
+
#sparse=1
|
214 |
+
batch_normalize=1
|
215 |
+
filters=128
|
216 |
+
size=1
|
217 |
+
stride=1
|
218 |
+
pad=1
|
219 |
+
activation=relu
|
220 |
+
|
221 |
+
[convolutional]
|
222 |
+
#sparse=1
|
223 |
+
batch_normalize=1
|
224 |
+
filters=128
|
225 |
+
size=3
|
226 |
+
stride=1
|
227 |
+
pad=1
|
228 |
+
activation=relu
|
229 |
+
|
230 |
+
[convolutional]
|
231 |
+
#sparse=1
|
232 |
+
batch_normalize=1
|
233 |
+
filters=128
|
234 |
+
size=3
|
235 |
+
stride=1
|
236 |
+
pad=1
|
237 |
+
activation=relu
|
238 |
+
|
239 |
+
[convolutional]
|
240 |
+
#sparse=1
|
241 |
+
batch_normalize=1
|
242 |
+
filters=128
|
243 |
+
size=3
|
244 |
+
stride=1
|
245 |
+
pad=1
|
246 |
+
activation=relu
|
247 |
+
|
248 |
+
[convolutional]
|
249 |
+
#sparse=1
|
250 |
+
batch_normalize=1
|
251 |
+
filters=128
|
252 |
+
size=3
|
253 |
+
stride=1
|
254 |
+
pad=1
|
255 |
+
activation=relu
|
256 |
+
|
257 |
+
[route]
|
258 |
+
layers = -1,-3,-5,-7
|
259 |
+
|
260 |
+
[convolutional]
|
261 |
+
#sparse=1
|
262 |
+
batch_normalize=1
|
263 |
+
filters=256
|
264 |
+
size=1
|
265 |
+
stride=1
|
266 |
+
pad=1
|
267 |
+
activation=relu
|
268 |
+
|
269 |
+
[convolutional]
|
270 |
+
#sparse=1
|
271 |
+
batch_normalize=1
|
272 |
+
filters=256
|
273 |
+
size=3
|
274 |
+
stride=2
|
275 |
+
pad=1
|
276 |
+
activation=relu
|
277 |
+
|
278 |
+
[convolutional]
|
279 |
+
#sparse=1
|
280 |
+
batch_normalize=1
|
281 |
+
filters=256
|
282 |
+
size=1
|
283 |
+
stride=1
|
284 |
+
pad=1
|
285 |
+
activation=relu
|
286 |
+
|
287 |
+
[route]
|
288 |
+
layers=-2
|
289 |
+
|
290 |
+
[convolutional]
|
291 |
+
#sparse=1
|
292 |
+
batch_normalize=1
|
293 |
+
filters=256
|
294 |
+
size=1
|
295 |
+
stride=1
|
296 |
+
pad=1
|
297 |
+
activation=relu
|
298 |
+
|
299 |
+
[convolutional]
|
300 |
+
#sparse=1
|
301 |
+
batch_normalize=1
|
302 |
+
filters=256
|
303 |
+
size=3
|
304 |
+
stride=1
|
305 |
+
pad=1
|
306 |
+
activation=relu
|
307 |
+
|
308 |
+
[convolutional]
|
309 |
+
#sparse=1
|
310 |
+
batch_normalize=1
|
311 |
+
filters=256
|
312 |
+
size=3
|
313 |
+
stride=1
|
314 |
+
pad=1
|
315 |
+
activation=relu
|
316 |
+
|
317 |
+
[convolutional]
|
318 |
+
#sparse=1
|
319 |
+
batch_normalize=1
|
320 |
+
filters=256
|
321 |
+
size=3
|
322 |
+
stride=1
|
323 |
+
pad=1
|
324 |
+
activation=relu
|
325 |
+
|
326 |
+
[convolutional]
|
327 |
+
#sparse=1
|
328 |
+
batch_normalize=1
|
329 |
+
filters=256
|
330 |
+
size=3
|
331 |
+
stride=1
|
332 |
+
pad=1
|
333 |
+
activation=relu
|
334 |
+
|
335 |
+
[route]
|
336 |
+
layers = -1,-3,-5,-7
|
337 |
+
|
338 |
+
[convolutional]
|
339 |
+
#sparse=1
|
340 |
+
batch_normalize=1
|
341 |
+
filters=512
|
342 |
+
size=1
|
343 |
+
stride=1
|
344 |
+
pad=1
|
345 |
+
activation=relu
|
346 |
+
|
347 |
+
|
348 |
+
##################################
|
349 |
+
|
350 |
+
### ASPPCSP ###
|
351 |
+
[convolutional]
|
352 |
+
#sparse=1
|
353 |
+
batch_normalize=1
|
354 |
+
filters=256
|
355 |
+
size=1
|
356 |
+
stride=1
|
357 |
+
pad=1
|
358 |
+
activation=relu
|
359 |
+
|
360 |
+
[route]
|
361 |
+
layers = -2
|
362 |
+
|
363 |
+
[convolutional]
|
364 |
+
#sparse=1
|
365 |
+
batch_normalize=1
|
366 |
+
filters=256
|
367 |
+
size=1
|
368 |
+
stride=1
|
369 |
+
pad=1
|
370 |
+
activation=relu
|
371 |
+
|
372 |
+
### ASPP ###
|
373 |
+
[convolutional]
|
374 |
+
#sparse=1
|
375 |
+
batch_normalize=1
|
376 |
+
filters=256
|
377 |
+
size=1
|
378 |
+
stride=1
|
379 |
+
pad=1
|
380 |
+
dilation=1
|
381 |
+
activation=relu
|
382 |
+
|
383 |
+
[route]
|
384 |
+
layers=-2
|
385 |
+
|
386 |
+
[convolutional]
|
387 |
+
#sparse=1
|
388 |
+
batch_normalize=1
|
389 |
+
filters=256
|
390 |
+
size=1
|
391 |
+
stride=1
|
392 |
+
pad=1
|
393 |
+
dilation=3
|
394 |
+
activation=relu
|
395 |
+
|
396 |
+
[route]
|
397 |
+
layers=-4
|
398 |
+
|
399 |
+
[convolutional]
|
400 |
+
#sparse=1
|
401 |
+
batch_normalize=1
|
402 |
+
filters=256
|
403 |
+
size=1
|
404 |
+
stride=1
|
405 |
+
pad=1
|
406 |
+
dilation=5
|
407 |
+
activation=relu
|
408 |
+
|
409 |
+
[route]
|
410 |
+
layers=-1,-3,-5,-6
|
411 |
+
### End ASPP ###
|
412 |
+
|
413 |
+
[convolutional]
|
414 |
+
#sparse=1
|
415 |
+
batch_normalize=1
|
416 |
+
filters=256
|
417 |
+
size=1
|
418 |
+
stride=1
|
419 |
+
pad=1
|
420 |
+
activation=relu
|
421 |
+
|
422 |
+
[route]
|
423 |
+
layers = -10,-1
|
424 |
+
|
425 |
+
# 44
|
426 |
+
[convolutional]
|
427 |
+
#sparse=1
|
428 |
+
batch_normalize=1
|
429 |
+
filters=256
|
430 |
+
size=1
|
431 |
+
stride=1
|
432 |
+
pad=1
|
433 |
+
activation=relu
|
434 |
+
### End ASPPCSP ###
|
435 |
+
|
436 |
+
[convolutional]
|
437 |
+
#sparse=1
|
438 |
+
batch_normalize=1
|
439 |
+
filters=128
|
440 |
+
size=1
|
441 |
+
stride=1
|
442 |
+
pad=1
|
443 |
+
activation=relu
|
444 |
+
|
445 |
+
[upsample]
|
446 |
+
stride=2
|
447 |
+
|
448 |
+
[route]
|
449 |
+
layers = 30
|
450 |
+
|
451 |
+
[convolutional]
|
452 |
+
#sparse=1
|
453 |
+
batch_normalize=1
|
454 |
+
filters=128
|
455 |
+
size=1
|
456 |
+
stride=1
|
457 |
+
pad=1
|
458 |
+
activation=relu
|
459 |
+
|
460 |
+
[route]
|
461 |
+
layers = -1,-3
|
462 |
+
|
463 |
+
[convolutional]
|
464 |
+
#sparse=1
|
465 |
+
batch_normalize=1
|
466 |
+
filters=64
|
467 |
+
size=1
|
468 |
+
stride=1
|
469 |
+
pad=1
|
470 |
+
activation=relu
|
471 |
+
|
472 |
+
[route]
|
473 |
+
layers=-2
|
474 |
+
|
475 |
+
[convolutional]
|
476 |
+
#sparse=1
|
477 |
+
batch_normalize=1
|
478 |
+
filters=64
|
479 |
+
size=1
|
480 |
+
stride=1
|
481 |
+
pad=1
|
482 |
+
activation=relu
|
483 |
+
|
484 |
+
[convolutional]
|
485 |
+
#sparse=1
|
486 |
+
batch_normalize=1
|
487 |
+
filters=64
|
488 |
+
size=3
|
489 |
+
stride=1
|
490 |
+
pad=1
|
491 |
+
activation=relu
|
492 |
+
|
493 |
+
[convolutional]
|
494 |
+
#sparse=1
|
495 |
+
batch_normalize=1
|
496 |
+
filters=64
|
497 |
+
size=3
|
498 |
+
stride=1
|
499 |
+
pad=1
|
500 |
+
activation=relu
|
501 |
+
|
502 |
+
[convolutional]
|
503 |
+
#sparse=1
|
504 |
+
batch_normalize=1
|
505 |
+
filters=64
|
506 |
+
size=3
|
507 |
+
stride=1
|
508 |
+
pad=1
|
509 |
+
activation=relu
|
510 |
+
|
511 |
+
[convolutional]
|
512 |
+
#sparse=1
|
513 |
+
batch_normalize=1
|
514 |
+
filters=64
|
515 |
+
size=3
|
516 |
+
stride=1
|
517 |
+
pad=1
|
518 |
+
activation=relu
|
519 |
+
|
520 |
+
[route]
|
521 |
+
layers = -1,-3,-5,-7
|
522 |
+
|
523 |
+
|
524 |
+
# 56
|
525 |
+
[convolutional]
|
526 |
+
#sparse=1
|
527 |
+
batch_normalize=1
|
528 |
+
filters=128
|
529 |
+
size=1
|
530 |
+
stride=1
|
531 |
+
pad=1
|
532 |
+
activation=relu
|
533 |
+
|
534 |
+
[convolutional]
|
535 |
+
#sparse=1
|
536 |
+
batch_normalize=1
|
537 |
+
filters=64
|
538 |
+
size=1
|
539 |
+
stride=1
|
540 |
+
pad=1
|
541 |
+
activation=relu
|
542 |
+
|
543 |
+
[upsample]
|
544 |
+
stride=2
|
545 |
+
|
546 |
+
[route]
|
547 |
+
layers = 20
|
548 |
+
|
549 |
+
[convolutional]
|
550 |
+
#sparse=1
|
551 |
+
batch_normalize=1
|
552 |
+
filters=64
|
553 |
+
size=1
|
554 |
+
stride=1
|
555 |
+
pad=1
|
556 |
+
activation=relu
|
557 |
+
|
558 |
+
[route]
|
559 |
+
layers = -1,-3
|
560 |
+
|
561 |
+
[convolutional]
|
562 |
+
#sparse=1
|
563 |
+
batch_normalize=1
|
564 |
+
filters=32
|
565 |
+
size=1
|
566 |
+
stride=1
|
567 |
+
pad=1
|
568 |
+
activation=relu
|
569 |
+
|
570 |
+
[route]
|
571 |
+
layers=-2
|
572 |
+
|
573 |
+
[convolutional]
|
574 |
+
#sparse=1
|
575 |
+
batch_normalize=1
|
576 |
+
filters=32
|
577 |
+
size=1
|
578 |
+
stride=1
|
579 |
+
pad=1
|
580 |
+
activation=relu
|
581 |
+
|
582 |
+
[convolutional]
|
583 |
+
#sparse=1
|
584 |
+
batch_normalize=1
|
585 |
+
filters=32
|
586 |
+
size=3
|
587 |
+
stride=1
|
588 |
+
pad=1
|
589 |
+
activation=relu
|
590 |
+
|
591 |
+
[convolutional]
|
592 |
+
#sparse=1
|
593 |
+
batch_normalize=1
|
594 |
+
filters=32
|
595 |
+
size=3
|
596 |
+
stride=1
|
597 |
+
pad=1
|
598 |
+
activation=relu
|
599 |
+
|
600 |
+
[convolutional]
|
601 |
+
#sparse=1
|
602 |
+
batch_normalize=1
|
603 |
+
filters=32
|
604 |
+
size=3
|
605 |
+
stride=1
|
606 |
+
pad=1
|
607 |
+
activation=relu
|
608 |
+
|
609 |
+
[convolutional]
|
610 |
+
#sparse=1
|
611 |
+
batch_normalize=1
|
612 |
+
filters=32
|
613 |
+
size=3
|
614 |
+
stride=1
|
615 |
+
pad=1
|
616 |
+
activation=relu
|
617 |
+
|
618 |
+
[route]
|
619 |
+
layers = -1,-3,-5,-7
|
620 |
+
|
621 |
+
[convolutional]
|
622 |
+
#sparse=1
|
623 |
+
batch_normalize=1
|
624 |
+
filters=64
|
625 |
+
size=1
|
626 |
+
stride=1
|
627 |
+
pad=1
|
628 |
+
activation=relu
|
629 |
+
|
630 |
+
|
631 |
+
[convolutional]
|
632 |
+
#sparse=1
|
633 |
+
batch_normalize=1
|
634 |
+
size=3
|
635 |
+
stride=2
|
636 |
+
pad=1
|
637 |
+
filters=128
|
638 |
+
activation=relu
|
639 |
+
|
640 |
+
[route]
|
641 |
+
layers = -1,67
|
642 |
+
|
643 |
+
[convolutional]
|
644 |
+
#sparse=1
|
645 |
+
batch_normalize=1
|
646 |
+
filters=64
|
647 |
+
size=1
|
648 |
+
stride=1
|
649 |
+
pad=1
|
650 |
+
activation=relu
|
651 |
+
|
652 |
+
[route]
|
653 |
+
layers=-2
|
654 |
+
|
655 |
+
[convolutional]
|
656 |
+
#sparse=1
|
657 |
+
batch_normalize=1
|
658 |
+
filters=64
|
659 |
+
size=1
|
660 |
+
stride=1
|
661 |
+
pad=1
|
662 |
+
activation=relu
|
663 |
+
|
664 |
+
[convolutional]
|
665 |
+
#sparse=1
|
666 |
+
batch_normalize=1
|
667 |
+
filters=64
|
668 |
+
size=3
|
669 |
+
stride=1
|
670 |
+
pad=1
|
671 |
+
activation=relu
|
672 |
+
|
673 |
+
[convolutional]
|
674 |
+
#sparse=1
|
675 |
+
batch_normalize=1
|
676 |
+
filters=64
|
677 |
+
size=3
|
678 |
+
stride=1
|
679 |
+
pad=1
|
680 |
+
activation=relu
|
681 |
+
|
682 |
+
[convolutional]
|
683 |
+
#sparse=1
|
684 |
+
batch_normalize=1
|
685 |
+
filters=64
|
686 |
+
size=3
|
687 |
+
stride=1
|
688 |
+
pad=1
|
689 |
+
activation=relu
|
690 |
+
|
691 |
+
[convolutional]
|
692 |
+
#sparse=1
|
693 |
+
batch_normalize=1
|
694 |
+
filters=64
|
695 |
+
size=3
|
696 |
+
stride=1
|
697 |
+
pad=1
|
698 |
+
activation=relu
|
699 |
+
|
700 |
+
[route]
|
701 |
+
layers = -1,-3,-5,-7
|
702 |
+
|
703 |
+
[convolutional]
|
704 |
+
#sparse=1
|
705 |
+
batch_normalize=1
|
706 |
+
filters=128
|
707 |
+
size=1
|
708 |
+
stride=1
|
709 |
+
pad=1
|
710 |
+
activation=relu
|
711 |
+
|
712 |
+
[convolutional]
|
713 |
+
#sparse=1
|
714 |
+
batch_normalize=1
|
715 |
+
size=3
|
716 |
+
stride=2
|
717 |
+
pad=1
|
718 |
+
filters=256
|
719 |
+
activation=relu
|
720 |
+
|
721 |
+
[route]
|
722 |
+
layers = -1,53
|
723 |
+
|
724 |
+
[convolutional]
|
725 |
+
#sparse=1
|
726 |
+
batch_normalize=1
|
727 |
+
filters=128
|
728 |
+
size=1
|
729 |
+
stride=1
|
730 |
+
pad=1
|
731 |
+
activation=relu
|
732 |
+
|
733 |
+
[route]
|
734 |
+
layers=-2
|
735 |
+
|
736 |
+
[convolutional]
|
737 |
+
#sparse=1
|
738 |
+
batch_normalize=1
|
739 |
+
filters=128
|
740 |
+
size=1
|
741 |
+
stride=1
|
742 |
+
pad=1
|
743 |
+
activation=relu
|
744 |
+
|
745 |
+
[convolutional]
|
746 |
+
#sparse=1
|
747 |
+
batch_normalize=1
|
748 |
+
filters=128
|
749 |
+
size=3
|
750 |
+
stride=1
|
751 |
+
pad=1
|
752 |
+
activation=relu
|
753 |
+
|
754 |
+
[convolutional]
|
755 |
+
#sparse=1
|
756 |
+
batch_normalize=1
|
757 |
+
filters=128
|
758 |
+
size=3
|
759 |
+
stride=1
|
760 |
+
pad=1
|
761 |
+
activation=relu
|
762 |
+
|
763 |
+
[convolutional]
|
764 |
+
#sparse=1
|
765 |
+
batch_normalize=1
|
766 |
+
filters=128
|
767 |
+
size=3
|
768 |
+
stride=1
|
769 |
+
pad=1
|
770 |
+
activation=relu
|
771 |
+
|
772 |
+
[convolutional]
|
773 |
+
#sparse=1
|
774 |
+
batch_normalize=1
|
775 |
+
filters=128
|
776 |
+
size=3
|
777 |
+
stride=1
|
778 |
+
pad=1
|
779 |
+
activation=relu
|
780 |
+
|
781 |
+
[route]
|
782 |
+
layers = -1,-3,-5,-7
|
783 |
+
|
784 |
+
[convolutional]
|
785 |
+
#sparse=1
|
786 |
+
batch_normalize=1
|
787 |
+
filters=256
|
788 |
+
size=1
|
789 |
+
stride=1
|
790 |
+
pad=1
|
791 |
+
activation=relu
|
792 |
+
|
793 |
+
#############################
|
794 |
+
|
795 |
+
# ============ End of Neck ============ #
|
796 |
+
|
797 |
+
# ============ Head ============ #
|
798 |
+
|
799 |
+
|
800 |
+
# P3
|
801 |
+
[route]
|
802 |
+
layers = 80
|
803 |
+
|
804 |
+
[convolutional]
|
805 |
+
#sparse=1
|
806 |
+
batch_normalize=1
|
807 |
+
size=3
|
808 |
+
stride=1
|
809 |
+
pad=1
|
810 |
+
filters=128
|
811 |
+
activation=relu
|
812 |
+
|
813 |
+
[convolutional]
|
814 |
+
##sparse=1
|
815 |
+
size=1
|
816 |
+
stride=1
|
817 |
+
pad=1
|
818 |
+
filters=21
|
819 |
+
#activation=linear
|
820 |
+
activation=logistic
|
821 |
+
|
822 |
+
[yolo]
|
823 |
+
mask = 0,1,2
|
824 |
+
anchors = 5, 10, 13, 29, 23, 62, 32,139, 52, 92, 54,232, 94,270, 109,436, 225,477
|
825 |
+
classes=2
|
826 |
+
num=9
|
827 |
+
jitter=.3
|
828 |
+
scale_x_y = 2.0
|
829 |
+
ignore_thresh = .5
|
830 |
+
truth_thresh = 1
|
831 |
+
#random=1
|
832 |
+
resize=1.5
|
833 |
+
new_coords=1
|
834 |
+
iou_normalizer=0.05
|
835 |
+
# iou_loss=ciou
|
836 |
+
|
837 |
+
# P4
|
838 |
+
[route]
|
839 |
+
layers = 91
|
840 |
+
|
841 |
+
[convolutional]
|
842 |
+
#sparse=1
|
843 |
+
batch_normalize=1
|
844 |
+
size=3
|
845 |
+
stride=1
|
846 |
+
pad=1
|
847 |
+
filters=256
|
848 |
+
activation=relu
|
849 |
+
|
850 |
+
[convolutional]
|
851 |
+
##sparse=1
|
852 |
+
size=1
|
853 |
+
stride=1
|
854 |
+
pad=1
|
855 |
+
filters=21
|
856 |
+
#activation=linear
|
857 |
+
activation=logistic
|
858 |
+
|
859 |
+
[yolo]
|
860 |
+
mask = 3,4,5
|
861 |
+
anchors = 5, 10, 13, 29, 23, 62, 32,139, 52, 92, 54,232, 94,270, 109,436, 225,477
|
862 |
+
classes=2
|
863 |
+
num=9
|
864 |
+
jitter=.3
|
865 |
+
scale_x_y = 2.0
|
866 |
+
ignore_thresh = .5
|
867 |
+
truth_thresh = 1
|
868 |
+
resize=1.5
|
869 |
+
new_coords=1
|
870 |
+
iou_normalizer=0.05
|
871 |
+
# iou_loss=ciou
|
872 |
+
|
873 |
+
|
874 |
+
# P5
|
875 |
+
[route]
|
876 |
+
layers = 102
|
877 |
+
|
878 |
+
[convolutional]
|
879 |
+
#sparse=1
|
880 |
+
batch_normalize=1
|
881 |
+
size=3
|
882 |
+
stride=1
|
883 |
+
pad=1
|
884 |
+
filters=512
|
885 |
+
activation=relu
|
886 |
+
|
887 |
+
[convolutional]
|
888 |
+
##sparse=1
|
889 |
+
size=1
|
890 |
+
stride=1
|
891 |
+
pad=1
|
892 |
+
filters=21
|
893 |
+
#activation=linear
|
894 |
+
activation=logistic
|
895 |
+
|
896 |
+
[yolo]
|
897 |
+
mask = 6,7,8
|
898 |
+
anchors = 5, 10, 13, 29, 23, 62, 32,139, 52, 92, 54,232, 94,270, 109,436, 225,477
|
899 |
+
classes=2
|
900 |
+
num=9
|
901 |
+
jitter=.3
|
902 |
+
scale_x_y = 2.0
|
903 |
+
ignore_thresh = .7
|
904 |
+
truth_thresh = 1
|
905 |
+
resize=1.5
|
906 |
+
new_coords=1
|
907 |
+
iou_normalizer=0.05
|
908 |
+
iou_loss=ciou
|
909 |
+
|