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  1. name: "DSOD300_VOC0712_DSOD300_300x300_deploy"
  2. input: "data"
  3. input_shape {
  4. dim: 1
  5. dim: 3
  6. dim: 300
  7. dim: 300
  8. }
  9. layer {
  10. name: "Convolution1"
  11. type: "Convolution"
  12. bottom: "data"
  13. top: "Convolution1"
  14. convolution_param {
  15. num_output: 64
  16. bias_term: false
  17. pad: 1
  18. kernel_size: 3
  19. stride: 2
  20. weight_filler {
  21. type: "xavier"
  22. }
  23. bias_filler {
  24. type: "constant"
  25. }
  26. }
  27. }
  28. layer {
  29. name: "BatchNorm1"
  30. type: "BatchNorm"
  31. bottom: "Convolution1"
  32. top: "BatchNorm1"
  33. param {
  34. lr_mult: 0.0
  35. decay_mult: 0.0
  36. }
  37. param {
  38. lr_mult: 0.0
  39. decay_mult: 0.0
  40. }
  41. param {
  42. lr_mult: 0.0
  43. decay_mult: 0.0
  44. }
  45. }
  46. layer {
  47. name: "Scale1"
  48. type: "Scale"
  49. bottom: "BatchNorm1"
  50. top: "BatchNorm1"
  51. scale_param {
  52. filler {
  53. value: 1.0
  54. }
  55. bias_term: true
  56. bias_filler {
  57. value: 0.0
  58. }
  59. }
  60. }
  61. layer {
  62. name: "ReLU1"
  63. type: "ReLU"
  64. bottom: "BatchNorm1"
  65. top: "BatchNorm1"
  66. }
  67. layer {
  68. name: "Convolution2"
  69. type: "Convolution"
  70. bottom: "BatchNorm1"
  71. top: "Convolution2"
  72. convolution_param {
  73. num_output: 64
  74. bias_term: false
  75. pad: 1
  76. kernel_size: 3
  77. stride: 1
  78. weight_filler {
  79. type: "xavier"
  80. }
  81. bias_filler {
  82. type: "constant"
  83. }
  84. }
  85. }
  86. layer {
  87. name: "BatchNorm2"
  88. type: "BatchNorm"
  89. bottom: "Convolution2"
  90. top: "BatchNorm2"
  91. param {
  92. lr_mult: 0.0
  93. decay_mult: 0.0
  94. }
  95. param {
  96. lr_mult: 0.0
  97. decay_mult: 0.0
  98. }
  99. param {
  100. lr_mult: 0.0
  101. decay_mult: 0.0
  102. }
  103. }
  104. layer {
  105. name: "Scale2"
  106. type: "Scale"
  107. bottom: "BatchNorm2"
  108. top: "BatchNorm2"
  109. scale_param {
  110. filler {
  111. value: 1.0
  112. }
  113. bias_term: true
  114. bias_filler {
  115. value: 0.0
  116. }
  117. }
  118. }
  119. layer {
  120. name: "ReLU2"
  121. type: "ReLU"
  122. bottom: "BatchNorm2"
  123. top: "BatchNorm2"
  124. }
  125. layer {
  126. name: "Convolution3"
  127. type: "Convolution"
  128. bottom: "BatchNorm2"
  129. top: "Convolution3"
  130. convolution_param {
  131. num_output: 128
  132. bias_term: false
  133. pad: 1
  134. kernel_size: 3
  135. stride: 1
  136. weight_filler {
  137. type: "xavier"
  138. }
  139. bias_filler {
  140. type: "constant"
  141. }
  142. }
  143. }
  144. layer {
  145. name: "BatchNorm3"
  146. type: "BatchNorm"
  147. bottom: "Convolution3"
  148. top: "BatchNorm3"
  149. param {
  150. lr_mult: 0.0
  151. decay_mult: 0.0
  152. }
  153. param {
  154. lr_mult: 0.0
  155. decay_mult: 0.0
  156. }
  157. param {
  158. lr_mult: 0.0
  159. decay_mult: 0.0
  160. }
  161. }
  162. layer {
  163. name: "Scale3"
  164. type: "Scale"
  165. bottom: "BatchNorm3"
  166. top: "BatchNorm3"
  167. scale_param {
  168. filler {
  169. value: 1.0
  170. }
  171. bias_term: true
  172. bias_filler {
  173. value: 0.0
  174. }
  175. }
  176. }
  177. layer {
  178. name: "ReLU3"
  179. type: "ReLU"
  180. bottom: "BatchNorm3"
  181. top: "BatchNorm3"
  182. }
  183. layer {
  184. name: "Pooling1"
  185. type: "Pooling"
  186. bottom: "BatchNorm3"
  187. top: "Pooling1"
  188. pooling_param {
  189. pool: MAX
  190. kernel_size: 2
  191. stride: 2
  192. }
  193. }
  194. layer {
  195. name: "BatchNorm4"
  196. type: "BatchNorm"
  197. bottom: "Pooling1"
  198. top: "BatchNorm4"
  199. param {
  200. lr_mult: 0.0
  201. decay_mult: 0.0
  202. }
  203. param {
  204. lr_mult: 0.0
  205. decay_mult: 0.0
  206. }
  207. param {
  208. lr_mult: 0.0
  209. decay_mult: 0.0
  210. }
  211. }
  212. layer {
  213. name: "Scale4"
  214. type: "Scale"
  215. bottom: "BatchNorm4"
  216. top: "BatchNorm4"
  217. scale_param {
  218. filler {
  219. value: 1.0
  220. }
  221. bias_term: true
  222. bias_filler {
  223. value: 0.0
  224. }
  225. }
  226. }
  227. layer {
  228. name: "ReLU4"
  229. type: "ReLU"
  230. bottom: "BatchNorm4"
  231. top: "BatchNorm4"
  232. }
  233. layer {
  234. name: "Convolution4"
  235. type: "Convolution"
  236. bottom: "BatchNorm4"
  237. top: "Convolution4"
  238. convolution_param {
  239. num_output: 288
  240. bias_term: false
  241. pad: 0
  242. kernel_size: 1
  243. stride: 1
  244. weight_filler {
  245. type: "xavier"
  246. }
  247. bias_filler {
  248. type: "constant"
  249. }
  250. }
  251. }
  252. layer {
  253. name: "Slice1"
  254. type: "Slice"
  255. bottom: "Convolution4"
  256. top: "Slice1"
  257. top: "Slice2"
  258. slice_param {
  259. slice_point: 256
  260. axis: 1
  261. }
  262. }
  263. layer {
  264. name: "BatchNorm5"
  265. type: "BatchNorm"
  266. bottom: "Pooling1"
  267. top: "BatchNorm5"
  268. param {
  269. lr_mult: 0.0
  270. decay_mult: 0.0
  271. }
  272. param {
  273. lr_mult: 0.0
  274. decay_mult: 0.0
  275. }
  276. param {
  277. lr_mult: 0.0
  278. decay_mult: 0.0
  279. }
  280. }
  281. layer {
  282. name: "Scale5"
  283. type: "Scale"
  284. bottom: "BatchNorm5"
  285. top: "BatchNorm5"
  286. scale_param {
  287. filler {
  288. value: 1.0
  289. }
  290. bias_term: true
  291. bias_filler {
  292. value: 0.0
  293. }
  294. }
  295. }
  296. layer {
  297. name: "ReLU5"
  298. type: "ReLU"
  299. bottom: "BatchNorm5"
  300. top: "BatchNorm5"
  301. }
  302. layer {
  303. name: "Convolution5"
  304. type: "Convolution"
  305. bottom: "BatchNorm5"
  306. top: "Convolution5"
  307. convolution_param {
  308. num_output: 96
  309. bias_term: false
  310. pad: 0
  311. kernel_size: 1
  312. stride: 1
  313. weight_filler {
  314. type: "xavier"
  315. }
  316. bias_filler {
  317. type: "constant"
  318. }
  319. }
  320. }
  321. layer {
  322. name: "BatchNorm6"
  323. type: "BatchNorm"
  324. bottom: "Convolution5"
  325. top: "BatchNorm6"
  326. param {
  327. lr_mult: 0.0
  328. decay_mult: 0.0
  329. }
  330. param {
  331. lr_mult: 0.0
  332. decay_mult: 0.0
  333. }
  334. param {
  335. lr_mult: 0.0
  336. decay_mult: 0.0
  337. }
  338. }
  339. layer {
  340. name: "Scale6"
  341. type: "Scale"
  342. bottom: "BatchNorm6"
  343. top: "BatchNorm6"
  344. scale_param {
  345. filler {
  346. value: 1.0
  347. }
  348. bias_term: true
  349. bias_filler {
  350. value: 0.0
  351. }
  352. }
  353. }
  354. layer {
  355. name: "ReLU6"
  356. type: "ReLU"
  357. bottom: "BatchNorm6"
  358. top: "BatchNorm6"
  359. }
  360. layer {
  361. name: "Convolution6"
  362. type: "Convolution"
  363. bottom: "BatchNorm6"
  364. top: "Convolution6"
  365. convolution_param {
  366. num_output: 96
  367. bias_term: false
  368. pad: 1
  369. kernel_size: 3
  370. group: 32
  371. stride: 1
  372. weight_filler {
  373. type: "xavier"
  374. }
  375. bias_filler {
  376. type: "constant"
  377. }
  378. }
  379. }
  380. layer {
  381. name: "BatchNorm7"
  382. type: "BatchNorm"
  383. bottom: "Convolution6"
  384. top: "BatchNorm7"
  385. param {
  386. lr_mult: 0.0
  387. decay_mult: 0.0
  388. }
  389. param {
  390. lr_mult: 0.0
  391. decay_mult: 0.0
  392. }
  393. param {
  394. lr_mult: 0.0
  395. decay_mult: 0.0
  396. }
  397. }
  398. layer {
  399. name: "Scale7"
  400. type: "Scale"
  401. bottom: "BatchNorm7"
  402. top: "BatchNorm7"
  403. scale_param {
  404. filler {
  405. value: 1.0
  406. }
  407. bias_term: true
  408. bias_filler {
  409. value: 0.0
  410. }
  411. }
  412. }
  413. layer {
  414. name: "ReLU7"
  415. type: "ReLU"
  416. bottom: "BatchNorm7"
  417. top: "BatchNorm7"
  418. }
  419. layer {
  420. name: "Convolution7"
  421. type: "Convolution"
  422. bottom: "BatchNorm7"
  423. top: "Convolution7"
  424. convolution_param {
  425. num_output: 272
  426. bias_term: false
  427. pad: 0
  428. kernel_size: 1
  429. stride: 1
  430. weight_filler {
  431. type: "xavier"
  432. }
  433. bias_filler {
  434. type: "constant"
  435. }
  436. }
  437. }
  438. layer {
  439. name: "Slice3"
  440. type: "Slice"
  441. bottom: "Convolution7"
  442. top: "Slice3"
  443. top: "Slice4"
  444. slice_param {
  445. slice_point: 256
  446. axis: 1
  447. }
  448. }
  449. layer {
  450. name: "Eltwise1"
  451. type: "Eltwise"
  452. bottom: "Slice1"
  453. bottom: "Slice3"
  454. top: "Eltwise1"
  455. }
  456. layer {
  457. name: "Concat1"
  458. type: "Concat"
  459. bottom: "Slice2"
  460. bottom: "Slice4"
  461. top: "Concat1"
  462. concat_param {
  463. axis: 1
  464. }
  465. }
  466. layer {
  467. name: "Concat2"
  468. type: "Concat"
  469. bottom: "Eltwise1"
  470. bottom: "Concat1"
  471. top: "Concat2"
  472. concat_param {
  473. axis: 1
  474. }
  475. }
  476. layer {
  477. name: "BatchNorm8"
  478. type: "BatchNorm"
  479. bottom: "Concat2"
  480. top: "BatchNorm8"
  481. param {
  482. lr_mult: 0.0
  483. decay_mult: 0.0
  484. }
  485. param {
  486. lr_mult: 0.0
  487. decay_mult: 0.0
  488. }
  489. param {
  490. lr_mult: 0.0
  491. decay_mult: 0.0
  492. }
  493. }
  494. layer {
  495. name: "Scale8"
  496. type: "Scale"
  497. bottom: "BatchNorm8"
  498. top: "BatchNorm8"
  499. scale_param {
  500. filler {
  501. value: 1.0
  502. }
  503. bias_term: true
  504. bias_filler {
  505. value: 0.0
  506. }
  507. }
  508. }
  509. layer {
  510. name: "ReLU8"
  511. type: "ReLU"
  512. bottom: "BatchNorm8"
  513. top: "BatchNorm8"
  514. }
  515. layer {
  516. name: "Convolution8"
  517. type: "Convolution"
  518. bottom: "BatchNorm8"
  519. top: "Convolution8"
  520. convolution_param {
  521. num_output: 96
  522. bias_term: false
  523. pad: 0
  524. kernel_size: 1
  525. stride: 1
  526. weight_filler {
  527. type: "xavier"
  528. }
  529. bias_filler {
  530. type: "constant"
  531. }
  532. }
  533. }
  534. layer {
  535. name: "BatchNorm9"
  536. type: "BatchNorm"
  537. bottom: "Convolution8"
  538. top: "BatchNorm9"
  539. param {
  540. lr_mult: 0.0
  541. decay_mult: 0.0
  542. }
  543. param {
  544. lr_mult: 0.0
  545. decay_mult: 0.0
  546. }
  547. param {
  548. lr_mult: 0.0
  549. decay_mult: 0.0
  550. }
  551. }
  552. layer {
  553. name: "Scale9"
  554. type: "Scale"
  555. bottom: "BatchNorm9"
  556. top: "BatchNorm9"
  557. scale_param {
  558. filler {
  559. value: 1.0
  560. }
  561. bias_term: true
  562. bias_filler {
  563. value: 0.0
  564. }
  565. }
  566. }
  567. layer {
  568. name: "ReLU9"
  569. type: "ReLU"
  570. bottom: "BatchNorm9"
  571. top: "BatchNorm9"
  572. }
  573. layer {
  574. name: "Convolution9"
  575. type: "Convolution"
  576. bottom: "BatchNorm9"
  577. top: "Convolution9"
  578. convolution_param {
  579. num_output: 96
  580. bias_term: false
  581. pad: 1
  582. kernel_size: 3
  583. group: 32
  584. stride: 1
  585. weight_filler {
  586. type: "xavier"
  587. }
  588. bias_filler {
  589. type: "constant"
  590. }
  591. }
  592. }
  593. layer {
  594. name: "BatchNorm10"
  595. type: "BatchNorm"
  596. bottom: "Convolution9"
  597. top: "BatchNorm10"
  598. param {
  599. lr_mult: 0.0
  600. decay_mult: 0.0
  601. }
  602. param {
  603. lr_mult: 0.0
  604. decay_mult: 0.0
  605. }
  606. param {
  607. lr_mult: 0.0
  608. decay_mult: 0.0
  609. }
  610. }
  611. layer {
  612. name: "Scale10"
  613. type: "Scale"
  614. bottom: "BatchNorm10"
  615. top: "BatchNorm10"
  616. scale_param {
  617. filler {
  618. value: 1.0
  619. }
  620. bias_term: true
  621. bias_filler {
  622. value: 0.0
  623. }
  624. }
  625. }
  626. layer {
  627. name: "ReLU10"
  628. type: "ReLU"
  629. bottom: "BatchNorm10"
  630. top: "BatchNorm10"
  631. }
  632. layer {
  633. name: "Convolution10"
  634. type: "Convolution"
  635. bottom: "BatchNorm10"
  636. top: "Convolution10"
  637. convolution_param {
  638. num_output: 272
  639. bias_term: false
  640. pad: 0
  641. kernel_size: 1
  642. stride: 1
  643. weight_filler {
  644. type: "xavier"
  645. }
  646. bias_filler {
  647. type: "constant"
  648. }
  649. }
  650. }
  651. layer {
  652. name: "Slice5"
  653. type: "Slice"
  654. bottom: "Convolution10"
  655. top: "Slice5"
  656. top: "Slice6"
  657. slice_param {
  658. slice_point: 256
  659. axis: 1
  660. }
  661. }
  662. layer {
  663. name: "Eltwise2"
  664. type: "Eltwise"
  665. bottom: "Eltwise1"
  666. bottom: "Slice5"
  667. top: "Eltwise2"
  668. }
  669. layer {
  670. name: "Concat3"
  671. type: "Concat"
  672. bottom: "Concat1"
  673. bottom: "Slice6"
  674. top: "Concat3"
  675. concat_param {
  676. axis: 1
  677. }
  678. }
  679. layer {
  680. name: "Concat4"
  681. type: "Concat"
  682. bottom: "Eltwise2"
  683. bottom: "Concat3"
  684. top: "Concat4"
  685. concat_param {
  686. axis: 1
  687. }
  688. }
  689. layer {
  690. name: "BatchNorm11"
  691. type: "BatchNorm"
  692. bottom: "Concat4"
  693. top: "BatchNorm11"
  694. param {
  695. lr_mult: 0.0
  696. decay_mult: 0.0
  697. }
  698. param {
  699. lr_mult: 0.0
  700. decay_mult: 0.0
  701. }
  702. param {
  703. lr_mult: 0.0
  704. decay_mult: 0.0
  705. }
  706. }
  707. layer {
  708. name: "Scale11"
  709. type: "Scale"
  710. bottom: "BatchNorm11"
  711. top: "BatchNorm11"
  712. scale_param {
  713. filler {
  714. value: 1.0
  715. }
  716. bias_term: true
  717. bias_filler {
  718. value: 0.0
  719. }
  720. }
  721. }
  722. layer {
  723. name: "ReLU11"
  724. type: "ReLU"
  725. bottom: "BatchNorm11"
  726. top: "BatchNorm11"
  727. }
  728. layer {
  729. name: "Convolution11"
  730. type: "Convolution"
  731. bottom: "BatchNorm11"
  732. top: "Convolution11"
  733. convolution_param {
  734. num_output: 96
  735. bias_term: false
  736. pad: 0
  737. kernel_size: 1
  738. stride: 1
  739. weight_filler {
  740. type: "xavier"
  741. }
  742. bias_filler {
  743. type: "constant"
  744. }
  745. }
  746. }
  747. layer {
  748. name: "BatchNorm12"
  749. type: "BatchNorm"
  750. bottom: "Convolution11"
  751. top: "BatchNorm12"
  752. param {
  753. lr_mult: 0.0
  754. decay_mult: 0.0
  755. }
  756. param {
  757. lr_mult: 0.0
  758. decay_mult: 0.0
  759. }
  760. param {
  761. lr_mult: 0.0
  762. decay_mult: 0.0
  763. }
  764. }
  765. layer {
  766. name: "Scale12"
  767. type: "Scale"
  768. bottom: "BatchNorm12"
  769. top: "BatchNorm12"
  770. scale_param {
  771. filler {
  772. value: 1.0
  773. }
  774. bias_term: true
  775. bias_filler {
  776. value: 0.0
  777. }
  778. }
  779. }
  780. layer {
  781. name: "ReLU12"
  782. type: "ReLU"
  783. bottom: "BatchNorm12"
  784. top: "BatchNorm12"
  785. }
  786. layer {
  787. name: "Convolution12"
  788. type: "Convolution"
  789. bottom: "BatchNorm12"
  790. top: "Convolution12"
  791. convolution_param {
  792. num_output: 96
  793. bias_term: false
  794. pad: 1
  795. kernel_size: 3
  796. group: 32
  797. stride: 1
  798. weight_filler {
  799. type: "xavier"
  800. }
  801. bias_filler {
  802. type: "constant"
  803. }
  804. }
  805. }
  806. layer {
  807. name: "BatchNorm13"
  808. type: "BatchNorm"
  809. bottom: "Convolution12"
  810. top: "BatchNorm13"
  811. param {
  812. lr_mult: 0.0
  813. decay_mult: 0.0
  814. }
  815. param {
  816. lr_mult: 0.0
  817. decay_mult: 0.0
  818. }
  819. param {
  820. lr_mult: 0.0
  821. decay_mult: 0.0
  822. }
  823. }
  824. layer {
  825. name: "Scale13"
  826. type: "Scale"
  827. bottom: "BatchNorm13"
  828. top: "BatchNorm13"
  829. scale_param {
  830. filler {
  831. value: 1.0
  832. }
  833. bias_term: true
  834. bias_filler {
  835. value: 0.0
  836. }
  837. }
  838. }
  839. layer {
  840. name: "ReLU13"
  841. type: "ReLU"
  842. bottom: "BatchNorm13"
  843. top: "BatchNorm13"
  844. }
  845. layer {
  846. name: "Convolution13"
  847. type: "Convolution"
  848. bottom: "BatchNorm13"
  849. top: "Convolution13"
  850. convolution_param {
  851. num_output: 272
  852. bias_term: false
  853. pad: 0
  854. kernel_size: 1
  855. stride: 1
  856. weight_filler {
  857. type: "xavier"
  858. }
  859. bias_filler {
  860. type: "constant"
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  862. }
  863. }
  864. layer {
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  866. type: "Slice"
  867. bottom: "Convolution13"
  868. top: "Slice7"
  869. top: "Slice8"
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  872. axis: 1
  873. }
  874. }
  875. layer {
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  877. type: "Eltwise"
  878. bottom: "Eltwise2"
  879. bottom: "Slice7"
  880. top: "Eltwise3"
  881. }
  882. layer {
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  884. type: "Concat"
  885. bottom: "Concat3"
  886. bottom: "Slice8"
  887. top: "Concat5"
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  891. }
  892. layer {
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  894. type: "Concat"
  895. bottom: "Eltwise3"
  896. bottom: "Concat5"
  897. top: "Concat6"
  898. concat_param {
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  900. }
  901. }
  902. layer {
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  904. type: "BatchNorm"
  905. bottom: "Concat6"
  906. top: "BatchNorm14"
  907. param {
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  909. decay_mult: 0.0
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  911. param {
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  913. decay_mult: 0.0
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  922. type: "Scale"
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  924. top: "BatchNorm14"
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  929. bias_term: true
  930. bias_filler {
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  932. }
  933. }
  934. }
  935. layer {
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  937. type: "ReLU"
  938. bottom: "BatchNorm14"
  939. top: "BatchNorm14"
  940. }
  941. layer {
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  943. type: "Convolution"
  944. bottom: "BatchNorm14"
  945. top: "Convolution14"
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  948. bias_term: false
  949. pad: 0
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  951. stride: 2
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  955. bias_filler {
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  957. }
  958. }
  959. }
  960. layer {
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  962. type: "Slice"
  963. bottom: "Convolution14"
  964. top: "Slice9"
  965. top: "Slice10"
  966. slice_param {
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  968. axis: 1
  969. }
  970. }
  971. layer {
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  973. type: "BatchNorm"
  974. bottom: "Concat6"
  975. top: "BatchNorm15"
  976. param {
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  978. decay_mult: 0.0
  979. }
  980. param {
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  982. decay_mult: 0.0
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  991. type: "Scale"
  992. bottom: "BatchNorm15"
  993. top: "BatchNorm15"
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  1003. }
  1004. layer {
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  1006. type: "ReLU"
  1007. bottom: "BatchNorm15"
  1008. top: "BatchNorm15"
  1009. }
  1010. layer {
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  1012. type: "Convolution"
  1013. bottom: "BatchNorm15"
  1014. top: "Convolution15"
  1015. convolution_param {
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  1017. bias_term: false
  1018. pad: 0
  1019. kernel_size: 1
  1020. stride: 1
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  1023. }
  1024. bias_filler {
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  1026. }
  1027. }
  1028. }
  1029. layer {
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  1031. type: "BatchNorm"
  1032. bottom: "Convolution15"
  1033. top: "BatchNorm16"
  1034. param {
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  1036. decay_mult: 0.0
  1037. }
  1038. param {
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  1040. decay_mult: 0.0
  1041. }
  1042. param {
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  1044. decay_mult: 0.0
  1045. }
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  1047. layer {
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  1049. type: "Scale"
  1050. bottom: "BatchNorm16"
  1051. top: "BatchNorm16"
  1052. scale_param {
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  1056. bias_term: true
  1057. bias_filler {
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  1060. }
  1061. }
  1062. layer {
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  1064. type: "ReLU"
  1065. bottom: "BatchNorm16"
  1066. top: "BatchNorm16"
  1067. }
  1068. layer {
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  1070. type: "Convolution"
  1071. bottom: "BatchNorm16"
  1072. top: "Convolution16"
  1073. convolution_param {
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  1075. bias_term: false
  1076. pad: 1
  1077. kernel_size: 3
  1078. group: 32
  1079. stride: 2
  1080. weight_filler {
  1081. type: "xavier"
  1082. }
  1083. bias_filler {
  1084. type: "constant"
  1085. }
  1086. }
  1087. }
  1088. layer {
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  1090. type: "BatchNorm"
  1091. bottom: "Convolution16"
  1092. top: "BatchNorm17"
  1093. param {
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  1095. decay_mult: 0.0
  1096. }
  1097. param {
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  1099. decay_mult: 0.0
  1100. }
  1101. param {
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  1103. decay_mult: 0.0
  1104. }
  1105. }
  1106. layer {
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  1108. type: "Scale"
  1109. bottom: "BatchNorm17"
  1110. top: "BatchNorm17"
  1111. scale_param {
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  1115. bias_term: true
  1116. bias_filler {
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  1119. }
  1120. }
  1121. layer {
  1122. name: "ReLU17"
  1123. type: "ReLU"
  1124. bottom: "BatchNorm17"
  1125. top: "BatchNorm17"
  1126. }
  1127. layer {
  1128. name: "Convolution17"
  1129. type: "Convolution"
  1130. bottom: "BatchNorm17"
  1131. top: "Convolution17"
  1132. convolution_param {
  1133. num_output: 544
  1134. bias_term: false
  1135. pad: 0
  1136. kernel_size: 1
  1137. stride: 1
  1138. weight_filler {
  1139. type: "xavier"
  1140. }
  1141. bias_filler {
  1142. type: "constant"
  1143. }
  1144. }
  1145. }
  1146. layer {
  1147. name: "Slice11"
  1148. type: "Slice"
  1149. bottom: "Convolution17"
  1150. top: "Slice11"
  1151. top: "Slice12"
  1152. slice_param {
  1153. slice_point: 512
  1154. axis: 1
  1155. }
  1156. }
  1157. layer {
  1158. name: "Eltwise4"
  1159. type: "Eltwise"
  1160. bottom: "Slice9"
  1161. bottom: "Slice11"
  1162. top: "Eltwise4"
  1163. }
  1164. layer {
  1165. name: "Concat7"
  1166. type: "Concat"
  1167. bottom: "Slice12"
  1168. bottom: "Slice10"
  1169. top: "Concat7"
  1170. concat_param {
  1171. axis: 1
  1172. }
  1173. }
  1174. layer {
  1175. name: "Concat8"
  1176. type: "Concat"
  1177. bottom: "Eltwise4"
  1178. bottom: "Concat7"
  1179. top: "Concat8"
  1180. concat_param {
  1181. axis: 1
  1182. }
  1183. }
  1184. layer {
  1185. name: "BatchNorm18"
  1186. type: "BatchNorm"
  1187. bottom: "Concat8"
  1188. top: "BatchNorm18"
  1189. param {
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  1191. decay_mult: 0.0
  1192. }
  1193. param {
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  1195. decay_mult: 0.0
  1196. }
  1197. param {
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  1199. decay_mult: 0.0
  1200. }
  1201. }
  1202. layer {
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  1204. type: "Scale"
  1205. bottom: "BatchNorm18"
  1206. top: "BatchNorm18"
  1207. scale_param {
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  1211. bias_term: true
  1212. bias_filler {
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  1215. }
  1216. }
  1217. layer {
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  1219. type: "ReLU"
  1220. bottom: "BatchNorm18"
  1221. top: "BatchNorm18"
  1222. }
  1223. layer {
  1224. name: "Convolution18"
  1225. type: "Convolution"
  1226. bottom: "BatchNorm18"
  1227. top: "Convolution18"
  1228. convolution_param {
  1229. num_output: 192
  1230. bias_term: false
  1231. pad: 0
  1232. kernel_size: 1
  1233. stride: 1
  1234. weight_filler {
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  1236. }
  1237. bias_filler {
  1238. type: "constant"
  1239. }
  1240. }
  1241. }
  1242. layer {
  1243. name: "BatchNorm19"
  1244. type: "BatchNorm"
  1245. bottom: "Convolution18"
  1246. top: "BatchNorm19"
  1247. param {
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  1249. decay_mult: 0.0
  1250. }
  1251. param {
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  1253. decay_mult: 0.0
  1254. }
  1255. param {
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  1257. decay_mult: 0.0
  1258. }
  1259. }
  1260. layer {
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  1262. type: "Scale"
  1263. bottom: "BatchNorm19"
  1264. top: "BatchNorm19"
  1265. scale_param {
  1266. filler {
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  1269. bias_term: true
  1270. bias_filler {
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  1272. }
  1273. }
  1274. }
  1275. layer {
  1276. name: "ReLU19"
  1277. type: "ReLU"
  1278. bottom: "BatchNorm19"
  1279. top: "BatchNorm19"
  1280. }
  1281. layer {
  1282. name: "Convolution19"
  1283. type: "Convolution"
  1284. bottom: "BatchNorm19"
  1285. top: "Convolution19"
  1286. convolution_param {
  1287. num_output: 192
  1288. bias_term: false
  1289. pad: 1
  1290. kernel_size: 3
  1291. group: 32
  1292. stride: 1
  1293. weight_filler {
  1294. type: "xavier"
  1295. }
  1296. bias_filler {
  1297. type: "constant"
  1298. }
  1299. }
  1300. }
  1301. layer {
  1302. name: "BatchNorm20"
  1303. type: "BatchNorm"
  1304. bottom: "Convolution19"
  1305. top: "BatchNorm20"
  1306. param {
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  1308. decay_mult: 0.0
  1309. }
  1310. param {
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  1312. decay_mult: 0.0
  1313. }
  1314. param {
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  1316. decay_mult: 0.0
  1317. }
  1318. }
  1319. layer {
  1320. name: "Scale20"
  1321. type: "Scale"
  1322. bottom: "BatchNorm20"
  1323. top: "BatchNorm20"
  1324. scale_param {
  1325. filler {
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  1327. }
  1328. bias_term: true
  1329. bias_filler {
  1330. value: 0.0
  1331. }
  1332. }
  1333. }
  1334. layer {
  1335. name: "ReLU20"
  1336. type: "ReLU"
  1337. bottom: "BatchNorm20"
  1338. top: "BatchNorm20"
  1339. }
  1340. layer {
  1341. name: "Convolution20"
  1342. type: "Convolution"
  1343. bottom: "BatchNorm20"
  1344. top: "Convolution20"
  1345. convolution_param {
  1346. num_output: 544
  1347. bias_term: false
  1348. pad: 0
  1349. kernel_size: 1
  1350. stride: 1
  1351. weight_filler {
  1352. type: "xavier"
  1353. }
  1354. bias_filler {
  1355. type: "constant"
  1356. }
  1357. }
  1358. }
  1359. layer {
  1360. name: "Slice13"
  1361. type: "Slice"
  1362. bottom: "Convolution20"
  1363. top: "Slice13"
  1364. top: "Slice14"
  1365. slice_param {
  1366. slice_point: 512
  1367. axis: 1
  1368. }
  1369. }
  1370. layer {
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  1372. type: "Eltwise"
  1373. bottom: "Eltwise4"
  1374. bottom: "Slice13"
  1375. top: "Eltwise5"
  1376. }
  1377. layer {
  1378. name: "Concat9"
  1379. type: "Concat"
  1380. bottom: "Concat7"
  1381. bottom: "Slice14"
  1382. top: "Concat9"
  1383. concat_param {
  1384. axis: 1
  1385. }
  1386. }
  1387. layer {
  1388. name: "Concat10"
  1389. type: "Concat"
  1390. bottom: "Eltwise5"
  1391. bottom: "Concat9"
  1392. top: "Concat10"
  1393. concat_param {
  1394. axis: 1
  1395. }
  1396. }
  1397. layer {
  1398. name: "BatchNorm21"
  1399. type: "BatchNorm"
  1400. bottom: "Concat10"
  1401. top: "BatchNorm21"
  1402. param {
  1403. lr_mult: 0.0
  1404. decay_mult: 0.0
  1405. }
  1406. param {
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  1408. decay_mult: 0.0
  1409. }
  1410. param {
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  1412. decay_mult: 0.0
  1413. }
  1414. }
  1415. layer {
  1416. name: "Scale21"
  1417. type: "Scale"
  1418. bottom: "BatchNorm21"
  1419. top: "BatchNorm21"
  1420. scale_param {
  1421. filler {
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  1424. bias_term: true
  1425. bias_filler {
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  1427. }
  1428. }
  1429. }
  1430. layer {
  1431. name: "ReLU21"
  1432. type: "ReLU"
  1433. bottom: "BatchNorm21"
  1434. top: "BatchNorm21"
  1435. }
  1436. layer {
  1437. name: "Convolution21"
  1438. type: "Convolution"
  1439. bottom: "BatchNorm21"
  1440. top: "Convolution21"
  1441. convolution_param {
  1442. num_output: 192
  1443. bias_term: false
  1444. pad: 0
  1445. kernel_size: 1
  1446. stride: 1
  1447. weight_filler {
  1448. type: "xavier"
  1449. }
  1450. bias_filler {
  1451. type: "constant"
  1452. }
  1453. }
  1454. }
  1455. layer {
  1456. name: "BatchNorm22"
  1457. type: "BatchNorm"
  1458. bottom: "Convolution21"
  1459. top: "BatchNorm22"
  1460. param {
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  1462. decay_mult: 0.0
  1463. }
  1464. param {
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  1466. decay_mult: 0.0
  1467. }
  1468. param {
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  1470. decay_mult: 0.0
  1471. }
  1472. }
  1473. layer {
  1474. name: "Scale22"
  1475. type: "Scale"
  1476. bottom: "BatchNorm22"
  1477. top: "BatchNorm22"
  1478. scale_param {
  1479. filler {
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  1482. bias_term: true
  1483. bias_filler {
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  1485. }
  1486. }
  1487. }
  1488. layer {
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  1490. type: "ReLU"
  1491. bottom: "BatchNorm22"
  1492. top: "BatchNorm22"
  1493. }
  1494. layer {
  1495. name: "Convolution22"
  1496. type: "Convolution"
  1497. bottom: "BatchNorm22"
  1498. top: "Convolution22"
  1499. convolution_param {
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  1501. bias_term: false
  1502. pad: 1
  1503. kernel_size: 3
  1504. group: 32
  1505. stride: 1
  1506. weight_filler {
  1507. type: "xavier"
  1508. }
  1509. bias_filler {
  1510. type: "constant"
  1511. }
  1512. }
  1513. }
  1514. layer {
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  1516. type: "BatchNorm"
  1517. bottom: "Convolution22"
  1518. top: "BatchNorm23"
  1519. param {
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  1521. decay_mult: 0.0
  1522. }
  1523. param {
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  1525. decay_mult: 0.0
  1526. }
  1527. param {
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  1529. decay_mult: 0.0
  1530. }
  1531. }
  1532. layer {
  1533. name: "Scale23"
  1534. type: "Scale"
  1535. bottom: "BatchNorm23"
  1536. top: "BatchNorm23"
  1537. scale_param {
  1538. filler {
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  1541. bias_term: true
  1542. bias_filler {
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  1545. }
  1546. }
  1547. layer {
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  1549. type: "ReLU"
  1550. bottom: "BatchNorm23"
  1551. top: "BatchNorm23"
  1552. }
  1553. layer {
  1554. name: "Convolution23"
  1555. type: "Convolution"
  1556. bottom: "BatchNorm23"
  1557. top: "Convolution23"
  1558. convolution_param {
  1559. num_output: 544
  1560. bias_term: false
  1561. pad: 0
  1562. kernel_size: 1
  1563. stride: 1
  1564. weight_filler {
  1565. type: "xavier"
  1566. }
  1567. bias_filler {
  1568. type: "constant"
  1569. }
  1570. }
  1571. }
  1572. layer {
  1573. name: "Slice15"
  1574. type: "Slice"
  1575. bottom: "Convolution23"
  1576. top: "Slice15"
  1577. top: "Slice16"
  1578. slice_param {
  1579. slice_point: 512
  1580. axis: 1
  1581. }
  1582. }
  1583. layer {
  1584. name: "Eltwise6"
  1585. type: "Eltwise"
  1586. bottom: "Eltwise5"
  1587. bottom: "Slice15"
  1588. top: "Eltwise6"
  1589. }
  1590. layer {
  1591. name: "Concat11"
  1592. type: "Concat"
  1593. bottom: "Concat9"
  1594. bottom: "Slice16"
  1595. top: "Concat11"
  1596. concat_param {
  1597. axis: 1
  1598. }
  1599. }
  1600. layer {
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  1602. type: "Concat"
  1603. bottom: "Eltwise6"
  1604. bottom: "Concat11"
  1605. top: "Concat12"
  1606. concat_param {
  1607. axis: 1
  1608. }
  1609. }
  1610. layer {
  1611. name: "BatchNorm24"
  1612. type: "BatchNorm"
  1613. bottom: "Concat12"
  1614. top: "BatchNorm24"
  1615. param {
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  1617. decay_mult: 0.0
  1618. }
  1619. param {
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  1621. decay_mult: 0.0
  1622. }
  1623. param {
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  1625. decay_mult: 0.0
  1626. }
  1627. }
  1628. layer {
  1629. name: "Scale24"
  1630. type: "Scale"
  1631. bottom: "BatchNorm24"
  1632. top: "BatchNorm24"
  1633. scale_param {
  1634. filler {
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  1637. bias_term: true
  1638. bias_filler {
  1639. value: 0.0
  1640. }
  1641. }
  1642. }
  1643. layer {
  1644. name: "ReLU24"
  1645. type: "ReLU"
  1646. bottom: "BatchNorm24"
  1647. top: "BatchNorm24"
  1648. }
  1649. layer {
  1650. name: "Convolution24"
  1651. type: "Convolution"
  1652. bottom: "BatchNorm24"
  1653. top: "Convolution24"
  1654. convolution_param {
  1655. num_output: 192
  1656. bias_term: false
  1657. pad: 0
  1658. kernel_size: 1
  1659. stride: 1
  1660. weight_filler {
  1661. type: "xavier"
  1662. }
  1663. bias_filler {
  1664. type: "constant"
  1665. }
  1666. }
  1667. }
  1668. layer {
  1669. name: "BatchNorm25"
  1670. type: "BatchNorm"
  1671. bottom: "Convolution24"
  1672. top: "BatchNorm25"
  1673. param {
  1674. lr_mult: 0.0
  1675. decay_mult: 0.0
  1676. }
  1677. param {
  1678. lr_mult: 0.0
  1679. decay_mult: 0.0
  1680. }
  1681. param {
  1682. lr_mult: 0.0
  1683. decay_mult: 0.0
  1684. }
  1685. }
  1686. layer {
  1687. name: "Scale25"
  1688. type: "Scale"
  1689. bottom: "BatchNorm25"
  1690. top: "BatchNorm25"
  1691. scale_param {
  1692. filler {
  1693. value: 1.0
  1694. }
  1695. bias_term: true
  1696. bias_filler {
  1697. value: 0.0
  1698. }
  1699. }
  1700. }
  1701. layer {
  1702. name: "ReLU25"
  1703. type: "ReLU"
  1704. bottom: "BatchNorm25"
  1705. top: "BatchNorm25"
  1706. }
  1707. layer {
  1708. name: "Convolution25"
  1709. type: "Convolution"
  1710. bottom: "BatchNorm25"
  1711. top: "Convolution25"
  1712. convolution_param {
  1713. num_output: 192
  1714. bias_term: false
  1715. pad: 1
  1716. kernel_size: 3
  1717. group: 32
  1718. stride: 1
  1719. weight_filler {
  1720. type: "xavier"
  1721. }
  1722. bias_filler {
  1723. type: "constant"
  1724. }
  1725. }
  1726. }
  1727. layer {
  1728. name: "BatchNorm26"
  1729. type: "BatchNorm"
  1730. bottom: "Convolution25"
  1731. top: "BatchNorm26"
  1732. param {
  1733. lr_mult: 0.0
  1734. decay_mult: 0.0
  1735. }
  1736. param {
  1737. lr_mult: 0.0
  1738. decay_mult: 0.0
  1739. }
  1740. param {
  1741. lr_mult: 0.0
  1742. decay_mult: 0.0
  1743. }
  1744. }
  1745. layer {
  1746. name: "Scale26"
  1747. type: "Scale"
  1748. bottom: "BatchNorm26"
  1749. top: "BatchNorm26"
  1750. scale_param {
  1751. filler {
  1752. value: 1.0
  1753. }
  1754. bias_term: true
  1755. bias_filler {
  1756. value: 0.0
  1757. }
  1758. }
  1759. }
  1760. layer {
  1761. name: "ReLU26"
  1762. type: "ReLU"
  1763. bottom: "BatchNorm26"
  1764. top: "BatchNorm26"
  1765. }
  1766. layer {
  1767. name: "Convolution26"
  1768. type: "Convolution"
  1769. bottom: "BatchNorm26"
  1770. top: "Convolution26"
  1771. convolution_param {
  1772. num_output: 544
  1773. bias_term: false
  1774. pad: 0
  1775. kernel_size: 1
  1776. stride: 1
  1777. weight_filler {
  1778. type: "xavier"
  1779. }
  1780. bias_filler {
  1781. type: "constant"
  1782. }
  1783. }
  1784. }
  1785. layer {
  1786. name: "Slice17"
  1787. type: "Slice"
  1788. bottom: "Convolution26"
  1789. top: "Slice17"
  1790. top: "Slice18"
  1791. slice_param {
  1792. slice_point: 512
  1793. axis: 1
  1794. }
  1795. }
  1796. layer {
  1797. name: "Eltwise7"
  1798. type: "Eltwise"
  1799. bottom: "Eltwise6"
  1800. bottom: "Slice17"
  1801. top: "Eltwise7"
  1802. }
  1803. layer {
  1804. name: "Concat13"
  1805. type: "Concat"
  1806. bottom: "Concat11"
  1807. bottom: "Slice18"
  1808. top: "Concat13"
  1809. concat_param {
  1810. axis: 1
  1811. }
  1812. }
  1813. layer {
  1814. name: "Concat14"
  1815. type: "Concat"
  1816. bottom: "Eltwise7"
  1817. bottom: "Concat13"
  1818. top: "Concat14"
  1819. concat_param {
  1820. axis: 1
  1821. }
  1822. }
  1823. layer {
  1824. name: "BatchNorm27"
  1825. type: "BatchNorm"
  1826. bottom: "Concat14"
  1827. top: "BatchNorm27"
  1828. param {
  1829. lr_mult: 0.0
  1830. decay_mult: 0.0
  1831. }
  1832. param {
  1833. lr_mult: 0.0
  1834. decay_mult: 0.0
  1835. }
  1836. param {
  1837. lr_mult: 0.0
  1838. decay_mult: 0.0
  1839. }
  1840. }
  1841. layer {
  1842. name: "Scale27"
  1843. type: "Scale"
  1844. bottom: "BatchNorm27"
  1845. top: "BatchNorm27"
  1846. scale_param {
  1847. filler {
  1848. value: 1.0
  1849. }
  1850. bias_term: true
  1851. bias_filler {
  1852. value: 0.0
  1853. }
  1854. }
  1855. }
  1856. layer {
  1857. name: "ReLU27"
  1858. type: "ReLU"
  1859. bottom: "BatchNorm27"
  1860. top: "BatchNorm27"
  1861. }
  1862. layer {
  1863. name: "Convolution27"
  1864. type: "Convolution"
  1865. bottom: "BatchNorm27"
  1866. top: "Convolution27"
  1867. convolution_param {
  1868. num_output: 192
  1869. bias_term: false
  1870. pad: 0
  1871. kernel_size: 1
  1872. stride: 1
  1873. weight_filler {
  1874. type: "xavier"
  1875. }
  1876. bias_filler {
  1877. type: "constant"
  1878. }
  1879. }
  1880. }
  1881. layer {
  1882. name: "BatchNorm28"
  1883. type: "BatchNorm"
  1884. bottom: "Convolution27"
  1885. top: "BatchNorm28"
  1886. param {
  1887. lr_mult: 0.0
  1888. decay_mult: 0.0
  1889. }
  1890. param {
  1891. lr_mult: 0.0
  1892. decay_mult: 0.0
  1893. }
  1894. param {
  1895. lr_mult: 0.0
  1896. decay_mult: 0.0
  1897. }
  1898. }
  1899. layer {
  1900. name: "Scale28"
  1901. type: "Scale"
  1902. bottom: "BatchNorm28"
  1903. top: "BatchNorm28"
  1904. scale_param {
  1905. filler {
  1906. value: 1.0
  1907. }
  1908. bias_term: true
  1909. bias_filler {
  1910. value: 0.0
  1911. }
  1912. }
  1913. }
  1914. layer {
  1915. name: "ReLU28"
  1916. type: "ReLU"
  1917. bottom: "BatchNorm28"
  1918. top: "BatchNorm28"
  1919. }
  1920. layer {
  1921. name: "Convolution28"
  1922. type: "Convolution"
  1923. bottom: "BatchNorm28"
  1924. top: "Convolution28"
  1925. convolution_param {
  1926. num_output: 192
  1927. bias_term: false
  1928. pad: 1
  1929. kernel_size: 3
  1930. group: 32
  1931. stride: 1
  1932. weight_filler {
  1933. type: "xavier"
  1934. }
  1935. bias_filler {
  1936. type: "constant"
  1937. }
  1938. }
  1939. }
  1940. layer {
  1941. name: "BatchNorm29"
  1942. type: "BatchNorm"
  1943. bottom: "Convolution28"
  1944. top: "BatchNorm29"
  1945. param {
  1946. lr_mult: 0.0
  1947. decay_mult: 0.0
  1948. }
  1949. param {
  1950. lr_mult: 0.0
  1951. decay_mult: 0.0
  1952. }
  1953. param {
  1954. lr_mult: 0.0
  1955. decay_mult: 0.0
  1956. }
  1957. }
  1958. layer {
  1959. name: "Scale29"
  1960. type: "Scale"
  1961. bottom: "BatchNorm29"
  1962. top: "BatchNorm29"
  1963. scale_param {
  1964. filler {
  1965. value: 1.0
  1966. }
  1967. bias_term: true
  1968. bias_filler {
  1969. value: 0.0
  1970. }
  1971. }
  1972. }
  1973. layer {
  1974. name: "ReLU29"
  1975. type: "ReLU"
  1976. bottom: "BatchNorm29"
  1977. top: "BatchNorm29"
  1978. }
  1979. layer {
  1980. name: "Convolution29"
  1981. type: "Convolution"
  1982. bottom: "BatchNorm29"
  1983. top: "Convolution29"
  1984. convolution_param {
  1985. num_output: 544
  1986. bias_term: false
  1987. pad: 0
  1988. kernel_size: 1
  1989. stride: 1
  1990. weight_filler {
  1991. type: "xavier"
  1992. }
  1993. bias_filler {
  1994. type: "constant"
  1995. }
  1996. }
  1997. }
  1998. layer {
  1999. name: "Slice19"
  2000. type: "Slice"
  2001. bottom: "Convolution29"
  2002. top: "Slice19"
  2003. top: "Slice20"
  2004. slice_param {
  2005. slice_point: 512
  2006. axis: 1
  2007. }
  2008. }
  2009. layer {
  2010. name: "Eltwise8"
  2011. type: "Eltwise"
  2012. bottom: "Eltwise7"
  2013. bottom: "Slice19"
  2014. top: "Eltwise8"
  2015. }
  2016. layer {
  2017. name: "Concat15"
  2018. type: "Concat"
  2019. bottom: "Concat13"
  2020. bottom: "Slice20"
  2021. top: "Concat15"
  2022. concat_param {
  2023. axis: 1
  2024. }
  2025. }
  2026. layer {
  2027. name: "Concat16"
  2028. type: "Concat"
  2029. bottom: "Eltwise8"
  2030. bottom: "Concat15"
  2031. top: "Concat16"
  2032. concat_param {
  2033. axis: 1
  2034. }
  2035. }
  2036. layer {
  2037. name: "BatchNorm30"
  2038. type: "BatchNorm"
  2039. bottom: "Concat16"
  2040. top: "BatchNorm30"
  2041. param {
  2042. lr_mult: 0.0
  2043. decay_mult: 0.0
  2044. }
  2045. param {
  2046. lr_mult: 0.0
  2047. decay_mult: 0.0
  2048. }
  2049. param {
  2050. lr_mult: 0.0
  2051. decay_mult: 0.0
  2052. }
  2053. }
  2054. layer {
  2055. name: "Scale30"
  2056. type: "Scale"
  2057. bottom: "BatchNorm30"
  2058. top: "BatchNorm30"
  2059. scale_param {
  2060. filler {
  2061. value: 1.0
  2062. }
  2063. bias_term: true
  2064. bias_filler {
  2065. value: 0.0
  2066. }
  2067. }
  2068. }
  2069. layer {
  2070. name: "ReLU30"
  2071. type: "ReLU"
  2072. bottom: "BatchNorm30"
  2073. top: "BatchNorm30"
  2074. }
  2075. layer {
  2076. name: "Convolution30"
  2077. type: "Convolution"
  2078. bottom: "BatchNorm30"
  2079. top: "Convolution30"
  2080. convolution_param {
  2081. num_output: 192
  2082. bias_term: false
  2083. pad: 0
  2084. kernel_size: 1
  2085. stride: 1
  2086. weight_filler {
  2087. type: "xavier"
  2088. }
  2089. bias_filler {
  2090. type: "constant"
  2091. }
  2092. }
  2093. }
  2094. layer {
  2095. name: "BatchNorm31"
  2096. type: "BatchNorm"
  2097. bottom: "Convolution30"
  2098. top: "BatchNorm31"
  2099. param {
  2100. lr_mult: 0.0
  2101. decay_mult: 0.0
  2102. }
  2103. param {
  2104. lr_mult: 0.0
  2105. decay_mult: 0.0
  2106. }
  2107. param {
  2108. lr_mult: 0.0
  2109. decay_mult: 0.0
  2110. }
  2111. }
  2112. layer {
  2113. name: "Scale31"
  2114. type: "Scale"
  2115. bottom: "BatchNorm31"
  2116. top: "BatchNorm31"
  2117. scale_param {
  2118. filler {
  2119. value: 1.0
  2120. }
  2121. bias_term: true
  2122. bias_filler {
  2123. value: 0.0
  2124. }
  2125. }
  2126. }
  2127. layer {
  2128. name: "ReLU31"
  2129. type: "ReLU"
  2130. bottom: "BatchNorm31"
  2131. top: "BatchNorm31"
  2132. }
  2133. layer {
  2134. name: "Convolution31"
  2135. type: "Convolution"
  2136. bottom: "BatchNorm31"
  2137. top: "Convolution31"
  2138. convolution_param {
  2139. num_output: 192
  2140. bias_term: false
  2141. pad: 1
  2142. kernel_size: 3
  2143. group: 32
  2144. stride: 1
  2145. weight_filler {
  2146. type: "xavier"
  2147. }
  2148. bias_filler {
  2149. type: "constant"
  2150. }
  2151. }
  2152. }
  2153. layer {
  2154. name: "BatchNorm32"
  2155. type: "BatchNorm"
  2156. bottom: "Convolution31"
  2157. top: "BatchNorm32"
  2158. param {
  2159. lr_mult: 0.0
  2160. decay_mult: 0.0
  2161. }
  2162. param {
  2163. lr_mult: 0.0
  2164. decay_mult: 0.0
  2165. }
  2166. param {
  2167. lr_mult: 0.0
  2168. decay_mult: 0.0
  2169. }
  2170. }
  2171. layer {
  2172. name: "Scale32"
  2173. type: "Scale"
  2174. bottom: "BatchNorm32"
  2175. top: "BatchNorm32"
  2176. scale_param {
  2177. filler {
  2178. value: 1.0
  2179. }
  2180. bias_term: true
  2181. bias_filler {
  2182. value: 0.0
  2183. }
  2184. }
  2185. }
  2186. layer {
  2187. name: "ReLU32"
  2188. type: "ReLU"
  2189. bottom: "BatchNorm32"
  2190. top: "BatchNorm32"
  2191. }
  2192. layer {
  2193. name: "Convolution32"
  2194. type: "Convolution"
  2195. bottom: "BatchNorm32"
  2196. top: "Convolution32"
  2197. convolution_param {
  2198. num_output: 544
  2199. bias_term: false
  2200. pad: 0
  2201. kernel_size: 1
  2202. stride: 1
  2203. weight_filler {
  2204. type: "xavier"
  2205. }
  2206. bias_filler {
  2207. type: "constant"
  2208. }
  2209. }
  2210. }
  2211. layer {
  2212. name: "Slice21"
  2213. type: "Slice"
  2214. bottom: "Convolution32"
  2215. top: "Slice21"
  2216. top: "Slice22"
  2217. slice_param {
  2218. slice_point: 512
  2219. axis: 1
  2220. }
  2221. }
  2222. layer {
  2223. name: "Eltwise9"
  2224. type: "Eltwise"
  2225. bottom: "Eltwise8"
  2226. bottom: "Slice21"
  2227. top: "Eltwise9"
  2228. }
  2229. layer {
  2230. name: "Concat17"
  2231. type: "Concat"
  2232. bottom: "Concat15"
  2233. bottom: "Slice22"
  2234. top: "Concat17"
  2235. concat_param {
  2236. axis: 1
  2237. }
  2238. }
  2239. layer {
  2240. name: "Concat18"
  2241. type: "Concat"
  2242. bottom: "Eltwise9"
  2243. bottom: "Concat17"
  2244. top: "Concat18"
  2245. concat_param {
  2246. axis: 1
  2247. }
  2248. }
  2249. layer {
  2250. name: "BatchNorm33"
  2251. type: "BatchNorm"
  2252. bottom: "Concat18"
  2253. top: "BatchNorm33"
  2254. param {
  2255. lr_mult: 0.0
  2256. decay_mult: 0.0
  2257. }
  2258. param {
  2259. lr_mult: 0.0
  2260. decay_mult: 0.0
  2261. }
  2262. param {
  2263. lr_mult: 0.0
  2264. decay_mult: 0.0
  2265. }
  2266. }
  2267. layer {
  2268. name: "Scale33"
  2269. type: "Scale"
  2270. bottom: "BatchNorm33"
  2271. top: "BatchNorm33"
  2272. scale_param {
  2273. filler {
  2274. value: 1.0
  2275. }
  2276. bias_term: true
  2277. bias_filler {
  2278. value: 0.0
  2279. }
  2280. }
  2281. }
  2282. layer {
  2283. name: "ReLU33"
  2284. type: "ReLU"
  2285. bottom: "BatchNorm33"
  2286. top: "BatchNorm33"
  2287. }
  2288. layer {
  2289. name: "Convolution33"
  2290. type: "Convolution"
  2291. bottom: "BatchNorm33"
  2292. top: "Convolution33"
  2293. convolution_param {
  2294. num_output: 192
  2295. bias_term: false
  2296. pad: 0
  2297. kernel_size: 1
  2298. stride: 1
  2299. weight_filler {
  2300. type: "xavier"
  2301. }
  2302. bias_filler {
  2303. type: "constant"
  2304. }
  2305. }
  2306. }
  2307. layer {
  2308. name: "BatchNorm34"
  2309. type: "BatchNorm"
  2310. bottom: "Convolution33"
  2311. top: "BatchNorm34"
  2312. param {
  2313. lr_mult: 0.0
  2314. decay_mult: 0.0
  2315. }
  2316. param {
  2317. lr_mult: 0.0
  2318. decay_mult: 0.0
  2319. }
  2320. param {
  2321. lr_mult: 0.0
  2322. decay_mult: 0.0
  2323. }
  2324. }
  2325. layer {
  2326. name: "Scale34"
  2327. type: "Scale"
  2328. bottom: "BatchNorm34"
  2329. top: "BatchNorm34"
  2330. scale_param {
  2331. filler {
  2332. value: 1.0
  2333. }
  2334. bias_term: true
  2335. bias_filler {
  2336. value: 0.0
  2337. }
  2338. }
  2339. }
  2340. layer {
  2341. name: "ReLU34"
  2342. type: "ReLU"
  2343. bottom: "BatchNorm34"
  2344. top: "BatchNorm34"
  2345. }
  2346. layer {
  2347. name: "Convolution34"
  2348. type: "Convolution"
  2349. bottom: "BatchNorm34"
  2350. top: "Convolution34"
  2351. convolution_param {
  2352. num_output: 192
  2353. bias_term: false
  2354. pad: 1
  2355. kernel_size: 3
  2356. group: 32
  2357. stride: 1
  2358. weight_filler {
  2359. type: "xavier"
  2360. }
  2361. bias_filler {
  2362. type: "constant"
  2363. }
  2364. }
  2365. }
  2366. layer {
  2367. name: "BatchNorm35"
  2368. type: "BatchNorm"
  2369. bottom: "Convolution34"
  2370. top: "BatchNorm35"
  2371. param {
  2372. lr_mult: 0.0
  2373. decay_mult: 0.0
  2374. }
  2375. param {
  2376. lr_mult: 0.0
  2377. decay_mult: 0.0
  2378. }
  2379. param {
  2380. lr_mult: 0.0
  2381. decay_mult: 0.0
  2382. }
  2383. }
  2384. layer {
  2385. name: "Scale35"
  2386. type: "Scale"
  2387. bottom: "BatchNorm35"
  2388. top: "BatchNorm35"
  2389. scale_param {
  2390. filler {
  2391. value: 1.0
  2392. }
  2393. bias_term: true
  2394. bias_filler {
  2395. value: 0.0
  2396. }
  2397. }
  2398. }
  2399. layer {
  2400. name: "ReLU35"
  2401. type: "ReLU"
  2402. bottom: "BatchNorm35"
  2403. top: "BatchNorm35"
  2404. }
  2405. layer {
  2406. name: "Convolution35"
  2407. type: "Convolution"
  2408. bottom: "BatchNorm35"
  2409. top: "Convolution35"
  2410. convolution_param {
  2411. num_output: 544
  2412. bias_term: false
  2413. pad: 0
  2414. kernel_size: 1
  2415. stride: 1
  2416. weight_filler {
  2417. type: "xavier"
  2418. }
  2419. bias_filler {
  2420. type: "constant"
  2421. }
  2422. }
  2423. }
  2424. layer {
  2425. name: "Slice23"
  2426. type: "Slice"
  2427. bottom: "Convolution35"
  2428. top: "Slice23"
  2429. top: "Slice24"
  2430. slice_param {
  2431. slice_point: 512
  2432. axis: 1
  2433. }
  2434. }
  2435. layer {
  2436. name: "Eltwise10"
  2437. type: "Eltwise"
  2438. bottom: "Eltwise9"
  2439. bottom: "Slice23"
  2440. top: "Eltwise10"
  2441. }
  2442. layer {
  2443. name: "BatchNorm36"
  2444. type: "BatchNorm"
  2445. bottom: "Eltwise10"
  2446. top: "BatchNorm36"
  2447. param {
  2448. lr_mult: 0.0
  2449. decay_mult: 0.0
  2450. }
  2451. param {
  2452. lr_mult: 0.0
  2453. decay_mult: 0.0
  2454. }
  2455. param {
  2456. lr_mult: 0.0
  2457. decay_mult: 0.0
  2458. }
  2459. }
  2460. layer {
  2461. name: "Scale36"
  2462. type: "Scale"
  2463. bottom: "BatchNorm36"
  2464. top: "BatchNorm36"
  2465. scale_param {
  2466. filler {
  2467. value: 1.0
  2468. }
  2469. bias_term: true
  2470. bias_filler {
  2471. value: 0.0
  2472. }
  2473. }
  2474. }
  2475. layer {
  2476. name: "ReLU36"
  2477. type: "ReLU"
  2478. bottom: "BatchNorm36"
  2479. top: "ReLU36"
  2480. }
  2481. layer {
  2482. name: "Convolution36"
  2483. type: "Convolution"
  2484. bottom: "ReLU36"
  2485. top: "Convolution36"
  2486. convolution_param {
  2487. num_output: 512
  2488. bias_term: false
  2489. pad: 0
  2490. kernel_size: 1
  2491. stride: 1
  2492. weight_filler {
  2493. type: "xavier"
  2494. }
  2495. bias_filler {
  2496. type: "constant"
  2497. }
  2498. }
  2499. }
  2500. layer {
  2501. name: "Concat19"
  2502. type: "Concat"
  2503. bottom: "Concat17"
  2504. bottom: "Slice24"
  2505. top: "Concat19"
  2506. concat_param {
  2507. axis: 1
  2508. }
  2509. }
  2510. layer {
  2511. name: "BatchNorm37"
  2512. type: "BatchNorm"
  2513. bottom: "Concat19"
  2514. top: "BatchNorm37"
  2515. param {
  2516. lr_mult: 0.0
  2517. decay_mult: 0.0
  2518. }
  2519. param {
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  2521. decay_mult: 0.0
  2522. }
  2523. param {
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  2525. decay_mult: 0.0
  2526. }
  2527. }
  2528. layer {
  2529. name: "Scale37"
  2530. type: "Scale"
  2531. bottom: "BatchNorm37"
  2532. top: "BatchNorm37"
  2533. scale_param {
  2534. filler {
  2535. value: 1.0
  2536. }
  2537. bias_term: true
  2538. bias_filler {
  2539. value: 0.0
  2540. }
  2541. }
  2542. }
  2543. layer {
  2544. name: "ReLU37"
  2545. type: "ReLU"
  2546. bottom: "BatchNorm37"
  2547. top: "ReLU37"
  2548. }
  2549. layer {
  2550. name: "Convolution37"
  2551. type: "Convolution"
  2552. bottom: "ReLU37"
  2553. top: "Convolution37"
  2554. convolution_param {
  2555. num_output: 288
  2556. bias_term: false
  2557. pad: 0
  2558. kernel_size: 1
  2559. stride: 1
  2560. weight_filler {
  2561. type: "xavier"
  2562. }
  2563. bias_filler {
  2564. type: "constant"
  2565. }
  2566. }
  2567. }
  2568. layer {
  2569. name: "First"
  2570. type: "Concat"
  2571. bottom: "Convolution36"
  2572. bottom: "Convolution37"
  2573. top: "First"
  2574. concat_param {
  2575. axis: 1
  2576. }
  2577. }
  2578. layer {
  2579. name: "Concat20"
  2580. type: "Concat"
  2581. bottom: "Convolution36"
  2582. bottom: "Convolution37"
  2583. top: "Concat20"
  2584. concat_param {
  2585. axis: 1
  2586. }
  2587. }
  2588. layer {
  2589. name: "BatchNorm38"
  2590. type: "BatchNorm"
  2591. bottom: "Concat20"
  2592. top: "BatchNorm38"
  2593. param {
  2594. lr_mult: 0.0
  2595. decay_mult: 0.0
  2596. }
  2597. param {
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  2599. decay_mult: 0.0
  2600. }
  2601. param {
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  2603. decay_mult: 0.0
  2604. }
  2605. }
  2606. layer {
  2607. name: "Scale38"
  2608. type: "Scale"
  2609. bottom: "BatchNorm38"
  2610. top: "BatchNorm38"
  2611. scale_param {
  2612. filler {
  2613. value: 1.0
  2614. }
  2615. bias_term: true
  2616. bias_filler {
  2617. value: 0.0
  2618. }
  2619. }
  2620. }
  2621. layer {
  2622. name: "ReLU38"
  2623. type: "ReLU"
  2624. bottom: "BatchNorm38"
  2625. top: "BatchNorm38"
  2626. }
  2627. layer {
  2628. name: "Convolution38"
  2629. type: "Convolution"
  2630. bottom: "BatchNorm38"
  2631. top: "Convolution38"
  2632. convolution_param {
  2633. num_output: 1056
  2634. bias_term: false
  2635. pad: 0
  2636. kernel_size: 1
  2637. stride: 2
  2638. weight_filler {
  2639. type: "xavier"
  2640. }
  2641. bias_filler {
  2642. type: "constant"
  2643. }
  2644. }
  2645. }
  2646. layer {
  2647. name: "Slice25"
  2648. type: "Slice"
  2649. bottom: "Convolution38"
  2650. top: "Slice25"
  2651. top: "Slice26"
  2652. slice_param {
  2653. slice_point: 1024
  2654. axis: 1
  2655. }
  2656. }
  2657. layer {
  2658. name: "BatchNorm39"
  2659. type: "BatchNorm"
  2660. bottom: "Concat20"
  2661. top: "BatchNorm39"
  2662. param {
  2663. lr_mult: 0.0
  2664. decay_mult: 0.0
  2665. }
  2666. param {
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  2668. decay_mult: 0.0
  2669. }
  2670. param {
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  2672. decay_mult: 0.0
  2673. }
  2674. }
  2675. layer {
  2676. name: "Scale39"
  2677. type: "Scale"
  2678. bottom: "BatchNorm39"
  2679. top: "BatchNorm39"
  2680. scale_param {
  2681. filler {
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  2683. }
  2684. bias_term: true
  2685. bias_filler {
  2686. value: 0.0
  2687. }
  2688. }
  2689. }
  2690. layer {
  2691. name: "ReLU39"
  2692. type: "ReLU"
  2693. bottom: "BatchNorm39"
  2694. top: "BatchNorm39"
  2695. }
  2696. layer {
  2697. name: "Convolution39"
  2698. type: "Convolution"
  2699. bottom: "BatchNorm39"
  2700. top: "Convolution39"
  2701. convolution_param {
  2702. num_output: 352
  2703. bias_term: false
  2704. pad: 0
  2705. kernel_size: 1
  2706. stride: 1
  2707. weight_filler {
  2708. type: "xavier"
  2709. }
  2710. bias_filler {
  2711. type: "constant"
  2712. }
  2713. }
  2714. }
  2715. layer {
  2716. name: "BatchNorm40"
  2717. type: "BatchNorm"
  2718. bottom: "Convolution39"
  2719. top: "BatchNorm40"
  2720. param {
  2721. lr_mult: 0.0
  2722. decay_mult: 0.0
  2723. }
  2724. param {
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  2726. decay_mult: 0.0
  2727. }
  2728. param {
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  2730. decay_mult: 0.0
  2731. }
  2732. }
  2733. layer {
  2734. name: "Scale40"
  2735. type: "Scale"
  2736. bottom: "BatchNorm40"
  2737. top: "BatchNorm40"
  2738. scale_param {
  2739. filler {
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  2741. }
  2742. bias_term: true
  2743. bias_filler {
  2744. value: 0.0
  2745. }
  2746. }
  2747. }
  2748. layer {
  2749. name: "ReLU40"
  2750. type: "ReLU"
  2751. bottom: "BatchNorm40"
  2752. top: "BatchNorm40"
  2753. }
  2754. layer {
  2755. name: "Convolution40"
  2756. type: "Convolution"
  2757. bottom: "BatchNorm40"
  2758. top: "Convolution40"
  2759. convolution_param {
  2760. num_output: 352
  2761. bias_term: false
  2762. pad: 1
  2763. kernel_size: 3
  2764. group: 32
  2765. stride: 2
  2766. weight_filler {
  2767. type: "xavier"
  2768. }
  2769. bias_filler {
  2770. type: "constant"
  2771. }
  2772. }
  2773. }
  2774. layer {
  2775. name: "BatchNorm41"
  2776. type: "BatchNorm"
  2777. bottom: "Convolution40"
  2778. top: "BatchNorm41"
  2779. param {
  2780. lr_mult: 0.0
  2781. decay_mult: 0.0
  2782. }
  2783. param {
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  2785. decay_mult: 0.0
  2786. }
  2787. param {
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  2789. decay_mult: 0.0
  2790. }
  2791. }
  2792. layer {
  2793. name: "Scale41"
  2794. type: "Scale"
  2795. bottom: "BatchNorm41"
  2796. top: "BatchNorm41"
  2797. scale_param {
  2798. filler {
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  2800. }
  2801. bias_term: true
  2802. bias_filler {
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  2804. }
  2805. }
  2806. }
  2807. layer {
  2808. name: "ReLU41"
  2809. type: "ReLU"
  2810. bottom: "BatchNorm41"
  2811. top: "BatchNorm41"
  2812. }
  2813. layer {
  2814. name: "Convolution41"
  2815. type: "Convolution"
  2816. bottom: "BatchNorm41"
  2817. top: "Convolution41"
  2818. convolution_param {
  2819. num_output: 1072
  2820. bias_term: false
  2821. pad: 0
  2822. kernel_size: 1
  2823. stride: 1
  2824. weight_filler {
  2825. type: "xavier"
  2826. }
  2827. bias_filler {
  2828. type: "constant"
  2829. }
  2830. }
  2831. }
  2832. layer {
  2833. name: "Slice27"
  2834. type: "Slice"
  2835. bottom: "Convolution41"
  2836. top: "Slice27"
  2837. top: "Slice28"
  2838. slice_param {
  2839. slice_point: 1024
  2840. axis: 1
  2841. }
  2842. }
  2843. layer {
  2844. name: "Eltwise11"
  2845. type: "Eltwise"
  2846. bottom: "Slice25"
  2847. bottom: "Slice27"
  2848. top: "Eltwise11"
  2849. }
  2850. layer {
  2851. name: "Concat21"
  2852. type: "Concat"
  2853. bottom: "Slice28"
  2854. bottom: "Slice26"
  2855. top: "Concat21"
  2856. concat_param {
  2857. axis: 1
  2858. }
  2859. }
  2860. layer {
  2861. name: "Concat22"
  2862. type: "Concat"
  2863. bottom: "Eltwise11"
  2864. bottom: "Concat21"
  2865. top: "Concat22"
  2866. concat_param {
  2867. axis: 1
  2868. }
  2869. }
  2870. layer {
  2871. name: "BatchNorm42"
  2872. type: "BatchNorm"
  2873. bottom: "Concat22"
  2874. top: "BatchNorm42"
  2875. param {
  2876. lr_mult: 0.0
  2877. decay_mult: 0.0
  2878. }
  2879. param {
  2880. lr_mult: 0.0
  2881. decay_mult: 0.0
  2882. }
  2883. param {
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  2885. decay_mult: 0.0
  2886. }
  2887. }
  2888. layer {
  2889. name: "Scale42"
  2890. type: "Scale"
  2891. bottom: "BatchNorm42"
  2892. top: "BatchNorm42"
  2893. scale_param {
  2894. filler {
  2895. value: 1.0
  2896. }
  2897. bias_term: true
  2898. bias_filler {
  2899. value: 0.0
  2900. }
  2901. }
  2902. }
  2903. layer {
  2904. name: "ReLU42"
  2905. type: "ReLU"
  2906. bottom: "BatchNorm42"
  2907. top: "BatchNorm42"
  2908. }
  2909. layer {
  2910. name: "Convolution42"
  2911. type: "Convolution"
  2912. bottom: "BatchNorm42"
  2913. top: "Convolution42"
  2914. convolution_param {
  2915. num_output: 352
  2916. bias_term: false
  2917. pad: 0
  2918. kernel_size: 1
  2919. stride: 1
  2920. weight_filler {
  2921. type: "xavier"
  2922. }
  2923. bias_filler {
  2924. type: "constant"
  2925. }
  2926. }
  2927. }
  2928. layer {
  2929. name: "BatchNorm43"
  2930. type: "BatchNorm"
  2931. bottom: "Convolution42"
  2932. top: "BatchNorm43"
  2933. param {
  2934. lr_mult: 0.0
  2935. decay_mult: 0.0
  2936. }
  2937. param {
  2938. lr_mult: 0.0
  2939. decay_mult: 0.0
  2940. }
  2941. param {
  2942. lr_mult: 0.0
  2943. decay_mult: 0.0
  2944. }
  2945. }
  2946. layer {
  2947. name: "Scale43"
  2948. type: "Scale"
  2949. bottom: "BatchNorm43"
  2950. top: "BatchNorm43"
  2951. scale_param {
  2952. filler {
  2953. value: 1.0
  2954. }
  2955. bias_term: true
  2956. bias_filler {
  2957. value: 0.0
  2958. }
  2959. }
  2960. }
  2961. layer {
  2962. name: "ReLU43"
  2963. type: "ReLU"
  2964. bottom: "BatchNorm43"
  2965. top: "BatchNorm43"
  2966. }
  2967. layer {
  2968. name: "Convolution43"
  2969. type: "Convolution"
  2970. bottom: "BatchNorm43"
  2971. top: "Convolution43"
  2972. convolution_param {
  2973. num_output: 352
  2974. bias_term: false
  2975. pad: 1
  2976. kernel_size: 3
  2977. group: 32
  2978. stride: 1
  2979. weight_filler {
  2980. type: "xavier"
  2981. }
  2982. bias_filler {
  2983. type: "constant"
  2984. }
  2985. }
  2986. }
  2987. layer {
  2988. name: "BatchNorm44"
  2989. type: "BatchNorm"
  2990. bottom: "Convolution43"
  2991. top: "BatchNorm44"
  2992. param {
  2993. lr_mult: 0.0
  2994. decay_mult: 0.0
  2995. }
  2996. param {
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  2998. decay_mult: 0.0
  2999. }
  3000. param {
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  3002. decay_mult: 0.0
  3003. }
  3004. }
  3005. layer {
  3006. name: "Scale44"
  3007. type: "Scale"
  3008. bottom: "BatchNorm44"
  3009. top: "BatchNorm44"
  3010. scale_param {
  3011. filler {
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  3013. }
  3014. bias_term: true
  3015. bias_filler {
  3016. value: 0.0
  3017. }
  3018. }
  3019. }
  3020. layer {
  3021. name: "ReLU44"
  3022. type: "ReLU"
  3023. bottom: "BatchNorm44"
  3024. top: "BatchNorm44"
  3025. }
  3026. layer {
  3027. name: "Convolution44"
  3028. type: "Convolution"
  3029. bottom: "BatchNorm44"
  3030. top: "Convolution44"
  3031. convolution_param {
  3032. num_output: 1072
  3033. bias_term: false
  3034. pad: 0
  3035. kernel_size: 1
  3036. stride: 1
  3037. weight_filler {
  3038. type: "xavier"
  3039. }
  3040. bias_filler {
  3041. type: "constant"
  3042. }
  3043. }
  3044. }
  3045. layer {
  3046. name: "Slice29"
  3047. type: "Slice"
  3048. bottom: "Convolution44"
  3049. top: "Slice29"
  3050. top: "Slice30"
  3051. slice_param {
  3052. slice_point: 1024
  3053. axis: 1
  3054. }
  3055. }
  3056. layer {
  3057. name: "Eltwise12"
  3058. type: "Eltwise"
  3059. bottom: "Eltwise11"
  3060. bottom: "Slice29"
  3061. top: "Eltwise12"
  3062. }
  3063. layer {
  3064. name: "Concat23"
  3065. type: "Concat"
  3066. bottom: "Concat21"
  3067. bottom: "Slice30"
  3068. top: "Concat23"
  3069. concat_param {
  3070. axis: 1
  3071. }
  3072. }
  3073. layer {
  3074. name: "Concat24"
  3075. type: "Concat"
  3076. bottom: "Eltwise12"
  3077. bottom: "Concat23"
  3078. top: "Concat24"
  3079. concat_param {
  3080. axis: 1
  3081. }
  3082. }
  3083. layer {
  3084. name: "BatchNorm45"
  3085. type: "BatchNorm"
  3086. bottom: "Concat24"
  3087. top: "BatchNorm45"
  3088. param {
  3089. lr_mult: 0.0
  3090. decay_mult: 0.0
  3091. }
  3092. param {
  3093. lr_mult: 0.0
  3094. decay_mult: 0.0
  3095. }
  3096. param {
  3097. lr_mult: 0.0
  3098. decay_mult: 0.0
  3099. }
  3100. }
  3101. layer {
  3102. name: "Scale45"
  3103. type: "Scale"
  3104. bottom: "BatchNorm45"
  3105. top: "BatchNorm45"
  3106. scale_param {
  3107. filler {
  3108. value: 1.0
  3109. }
  3110. bias_term: true
  3111. bias_filler {
  3112. value: 0.0
  3113. }
  3114. }
  3115. }
  3116. layer {
  3117. name: "ReLU45"
  3118. type: "ReLU"
  3119. bottom: "BatchNorm45"
  3120. top: "BatchNorm45"
  3121. }
  3122. layer {
  3123. name: "Convolution45"
  3124. type: "Convolution"
  3125. bottom: "BatchNorm45"
  3126. top: "Convolution45"
  3127. convolution_param {
  3128. num_output: 352
  3129. bias_term: false
  3130. pad: 0
  3131. kernel_size: 1
  3132. stride: 1
  3133. weight_filler {
  3134. type: "xavier"
  3135. }
  3136. bias_filler {
  3137. type: "constant"
  3138. }
  3139. }
  3140. }
  3141. layer {
  3142. name: "BatchNorm46"
  3143. type: "BatchNorm"
  3144. bottom: "Convolution45"
  3145. top: "BatchNorm46"
  3146. param {
  3147. lr_mult: 0.0
  3148. decay_mult: 0.0
  3149. }
  3150. param {
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  3152. decay_mult: 0.0
  3153. }
  3154. param {
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  3156. decay_mult: 0.0
  3157. }
  3158. }
  3159. layer {
  3160. name: "Scale46"
  3161. type: "Scale"
  3162. bottom: "BatchNorm46"
  3163. top: "BatchNorm46"
  3164. scale_param {
  3165. filler {
  3166. value: 1.0
  3167. }
  3168. bias_term: true
  3169. bias_filler {
  3170. value: 0.0
  3171. }
  3172. }
  3173. }
  3174. layer {
  3175. name: "ReLU46"
  3176. type: "ReLU"
  3177. bottom: "BatchNorm46"
  3178. top: "BatchNorm46"
  3179. }
  3180. layer {
  3181. name: "Convolution46"
  3182. type: "Convolution"
  3183. bottom: "BatchNorm46"
  3184. top: "Convolution46"
  3185. convolution_param {
  3186. num_output: 352
  3187. bias_term: false
  3188. pad: 1
  3189. kernel_size: 3
  3190. group: 32
  3191. stride: 1
  3192. weight_filler {
  3193. type: "xavier"
  3194. }
  3195. bias_filler {
  3196. type: "constant"
  3197. }
  3198. }
  3199. }
  3200. layer {
  3201. name: "BatchNorm47"
  3202. type: "BatchNorm"
  3203. bottom: "Convolution46"
  3204. top: "BatchNorm47"
  3205. param {
  3206. lr_mult: 0.0
  3207. decay_mult: 0.0
  3208. }
  3209. param {
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  3211. decay_mult: 0.0
  3212. }
  3213. param {
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  3215. decay_mult: 0.0
  3216. }
  3217. }
  3218. layer {
  3219. name: "Scale47"
  3220. type: "Scale"
  3221. bottom: "BatchNorm47"
  3222. top: "BatchNorm47"
  3223. scale_param {
  3224. filler {
  3225. value: 1.0
  3226. }
  3227. bias_term: true
  3228. bias_filler {
  3229. value: 0.0
  3230. }
  3231. }
  3232. }
  3233. layer {
  3234. name: "ReLU47"
  3235. type: "ReLU"
  3236. bottom: "BatchNorm47"
  3237. top: "BatchNorm47"
  3238. }
  3239. layer {
  3240. name: "Convolution47"
  3241. type: "Convolution"
  3242. bottom: "BatchNorm47"
  3243. top: "Convolution47"
  3244. convolution_param {
  3245. num_output: 1072
  3246. bias_term: false
  3247. pad: 0
  3248. kernel_size: 1
  3249. stride: 1
  3250. weight_filler {
  3251. type: "xavier"
  3252. }
  3253. bias_filler {
  3254. type: "constant"
  3255. }
  3256. }
  3257. }
  3258. layer {
  3259. name: "Slice31"
  3260. type: "Slice"
  3261. bottom: "Convolution47"
  3262. top: "Slice31"
  3263. top: "Slice32"
  3264. slice_param {
  3265. slice_point: 1024
  3266. axis: 1
  3267. }
  3268. }
  3269. layer {
  3270. name: "Eltwise13"
  3271. type: "Eltwise"
  3272. bottom: "Eltwise12"
  3273. bottom: "Slice31"
  3274. top: "Eltwise13"
  3275. }
  3276. layer {
  3277. name: "Concat25"
  3278. type: "Concat"
  3279. bottom: "Concat23"
  3280. bottom: "Slice32"
  3281. top: "Concat25"
  3282. concat_param {
  3283. axis: 1
  3284. }
  3285. }
  3286. layer {
  3287. name: "Concat26"
  3288. type: "Concat"
  3289. bottom: "Eltwise13"
  3290. bottom: "Concat25"
  3291. top: "Concat26"
  3292. concat_param {
  3293. axis: 1
  3294. }
  3295. }
  3296. layer {
  3297. name: "BatchNorm48"
  3298. type: "BatchNorm"
  3299. bottom: "Concat26"
  3300. top: "BatchNorm48"
  3301. param {
  3302. lr_mult: 0.0
  3303. decay_mult: 0.0
  3304. }
  3305. param {
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  3307. decay_mult: 0.0
  3308. }
  3309. param {
  3310. lr_mult: 0.0
  3311. decay_mult: 0.0
  3312. }
  3313. }
  3314. layer {
  3315. name: "Scale48"
  3316. type: "Scale"
  3317. bottom: "BatchNorm48"
  3318. top: "BatchNorm48"
  3319. scale_param {
  3320. filler {
  3321. value: 1.0
  3322. }
  3323. bias_term: true
  3324. bias_filler {
  3325. value: 0.0
  3326. }
  3327. }
  3328. }
  3329. layer {
  3330. name: "ReLU48"
  3331. type: "ReLU"
  3332. bottom: "BatchNorm48"
  3333. top: "BatchNorm48"
  3334. }
  3335. layer {
  3336. name: "Convolution48"
  3337. type: "Convolution"
  3338. bottom: "BatchNorm48"
  3339. top: "Convolution48"
  3340. convolution_param {
  3341. num_output: 352
  3342. bias_term: false
  3343. pad: 0
  3344. kernel_size: 1
  3345. stride: 1
  3346. weight_filler {
  3347. type: "xavier"
  3348. }
  3349. bias_filler {
  3350. type: "constant"
  3351. }
  3352. }
  3353. }
  3354. layer {
  3355. name: "BatchNorm49"
  3356. type: "BatchNorm"
  3357. bottom: "Convolution48"
  3358. top: "BatchNorm49"
  3359. param {
  3360. lr_mult: 0.0
  3361. decay_mult: 0.0
  3362. }
  3363. param {
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  3365. decay_mult: 0.0
  3366. }
  3367. param {
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  3369. decay_mult: 0.0
  3370. }
  3371. }
  3372. layer {
  3373. name: "Scale49"
  3374. type: "Scale"
  3375. bottom: "BatchNorm49"
  3376. top: "BatchNorm49"
  3377. scale_param {
  3378. filler {
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  3380. }
  3381. bias_term: true
  3382. bias_filler {
  3383. value: 0.0
  3384. }
  3385. }
  3386. }
  3387. layer {
  3388. name: "ReLU49"
  3389. type: "ReLU"
  3390. bottom: "BatchNorm49"
  3391. top: "BatchNorm49"
  3392. }
  3393. layer {
  3394. name: "Convolution49"
  3395. type: "Convolution"
  3396. bottom: "BatchNorm49"
  3397. top: "Convolution49"
  3398. convolution_param {
  3399. num_output: 352
  3400. bias_term: false
  3401. pad: 1
  3402. kernel_size: 3
  3403. group: 32
  3404. stride: 1
  3405. weight_filler {
  3406. type: "xavier"
  3407. }
  3408. bias_filler {
  3409. type: "constant"
  3410. }
  3411. }
  3412. }
  3413. layer {
  3414. name: "BatchNorm50"
  3415. type: "BatchNorm"
  3416. bottom: "Convolution49"
  3417. top: "BatchNorm50"
  3418. param {
  3419. lr_mult: 0.0
  3420. decay_mult: 0.0
  3421. }
  3422. param {
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  3424. decay_mult: 0.0
  3425. }
  3426. param {
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  3428. decay_mult: 0.0
  3429. }
  3430. }
  3431. layer {
  3432. name: "Scale50"
  3433. type: "Scale"
  3434. bottom: "BatchNorm50"
  3435. top: "BatchNorm50"
  3436. scale_param {
  3437. filler {
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  3439. }
  3440. bias_term: true
  3441. bias_filler {
  3442. value: 0.0
  3443. }
  3444. }
  3445. }
  3446. layer {
  3447. name: "ReLU50"
  3448. type: "ReLU"
  3449. bottom: "BatchNorm50"
  3450. top: "BatchNorm50"
  3451. }
  3452. layer {
  3453. name: "Convolution50"
  3454. type: "Convolution"
  3455. bottom: "BatchNorm50"
  3456. top: "Convolution50"
  3457. convolution_param {
  3458. num_output: 1072
  3459. bias_term: false
  3460. pad: 0
  3461. kernel_size: 1
  3462. stride: 1
  3463. weight_filler {
  3464. type: "xavier"
  3465. }
  3466. bias_filler {
  3467. type: "constant"
  3468. }
  3469. }
  3470. }
  3471. layer {
  3472. name: "Slice33"
  3473. type: "Slice"
  3474. bottom: "Convolution50"
  3475. top: "Slice33"
  3476. top: "Slice34"
  3477. slice_param {
  3478. slice_point: 1024
  3479. axis: 1
  3480. }
  3481. }
  3482. layer {
  3483. name: "Eltwise14"
  3484. type: "Eltwise"
  3485. bottom: "Eltwise13"
  3486. bottom: "Slice33"
  3487. top: "Eltwise14"
  3488. }
  3489. layer {
  3490. name: "Concat27"
  3491. type: "Concat"
  3492. bottom: "Concat25"
  3493. bottom: "Slice34"
  3494. top: "Concat27"
  3495. concat_param {
  3496. axis: 1
  3497. }
  3498. }
  3499. layer {
  3500. name: "Concat28"
  3501. type: "Concat"
  3502. bottom: "Eltwise14"
  3503. bottom: "Concat27"
  3504. top: "Concat28"
  3505. concat_param {
  3506. axis: 1
  3507. }
  3508. }
  3509. layer {
  3510. name: "BatchNorm51"
  3511. type: "BatchNorm"
  3512. bottom: "Concat28"
  3513. top: "BatchNorm51"
  3514. param {
  3515. lr_mult: 0.0
  3516. decay_mult: 0.0
  3517. }
  3518. param {
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  3520. decay_mult: 0.0
  3521. }
  3522. param {
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  3524. decay_mult: 0.0
  3525. }
  3526. }
  3527. layer {
  3528. name: "Scale51"
  3529. type: "Scale"
  3530. bottom: "BatchNorm51"
  3531. top: "BatchNorm51"
  3532. scale_param {
  3533. filler {
  3534. value: 1.0
  3535. }
  3536. bias_term: true
  3537. bias_filler {
  3538. value: 0.0
  3539. }
  3540. }
  3541. }
  3542. layer {
  3543. name: "ReLU51"
  3544. type: "ReLU"
  3545. bottom: "BatchNorm51"
  3546. top: "BatchNorm51"
  3547. }
  3548. layer {
  3549. name: "Convolution51"
  3550. type: "Convolution"
  3551. bottom: "BatchNorm51"
  3552. top: "Convolution51"
  3553. convolution_param {
  3554. num_output: 352
  3555. bias_term: false
  3556. pad: 0
  3557. kernel_size: 1
  3558. stride: 1
  3559. weight_filler {
  3560. type: "xavier"
  3561. }
  3562. bias_filler {
  3563. type: "constant"
  3564. }
  3565. }
  3566. }
  3567. layer {
  3568. name: "BatchNorm52"
  3569. type: "BatchNorm"
  3570. bottom: "Convolution51"
  3571. top: "BatchNorm52"
  3572. param {
  3573. lr_mult: 0.0
  3574. decay_mult: 0.0
  3575. }
  3576. param {
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  3578. decay_mult: 0.0
  3579. }
  3580. param {
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  3582. decay_mult: 0.0
  3583. }
  3584. }
  3585. layer {
  3586. name: "Scale52"
  3587. type: "Scale"
  3588. bottom: "BatchNorm52"
  3589. top: "BatchNorm52"
  3590. scale_param {
  3591. filler {
  3592. value: 1.0
  3593. }
  3594. bias_term: true
  3595. bias_filler {
  3596. value: 0.0
  3597. }
  3598. }
  3599. }
  3600. layer {
  3601. name: "ReLU52"
  3602. type: "ReLU"
  3603. bottom: "BatchNorm52"
  3604. top: "BatchNorm52"
  3605. }
  3606. layer {
  3607. name: "Convolution52"
  3608. type: "Convolution"
  3609. bottom: "BatchNorm52"
  3610. top: "Convolution52"
  3611. convolution_param {
  3612. num_output: 352
  3613. bias_term: false
  3614. pad: 1
  3615. kernel_size: 3
  3616. group: 32
  3617. stride: 1
  3618. weight_filler {
  3619. type: "xavier"
  3620. }
  3621. bias_filler {
  3622. type: "constant"
  3623. }
  3624. }
  3625. }
  3626. layer {
  3627. name: "BatchNorm53"
  3628. type: "BatchNorm"
  3629. bottom: "Convolution52"
  3630. top: "BatchNorm53"
  3631. param {
  3632. lr_mult: 0.0
  3633. decay_mult: 0.0
  3634. }
  3635. param {
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  3637. decay_mult: 0.0
  3638. }
  3639. param {
  3640. lr_mult: 0.0
  3641. decay_mult: 0.0
  3642. }
  3643. }
  3644. layer {
  3645. name: "Scale53"
  3646. type: "Scale"
  3647. bottom: "BatchNorm53"
  3648. top: "BatchNorm53"
  3649. scale_param {
  3650. filler {
  3651. value: 1.0
  3652. }
  3653. bias_term: true
  3654. bias_filler {
  3655. value: 0.0
  3656. }
  3657. }
  3658. }
  3659. layer {
  3660. name: "ReLU53"
  3661. type: "ReLU"
  3662. bottom: "BatchNorm53"
  3663. top: "BatchNorm53"
  3664. }
  3665. layer {
  3666. name: "Convolution53"
  3667. type: "Convolution"
  3668. bottom: "BatchNorm53"
  3669. top: "Convolution53"
  3670. convolution_param {
  3671. num_output: 1072
  3672. bias_term: false
  3673. pad: 0
  3674. kernel_size: 1
  3675. stride: 1
  3676. weight_filler {
  3677. type: "xavier"
  3678. }
  3679. bias_filler {
  3680. type: "constant"
  3681. }
  3682. }
  3683. }
  3684. layer {
  3685. name: "Slice35"
  3686. type: "Slice"
  3687. bottom: "Convolution53"
  3688. top: "Slice35"
  3689. top: "Slice36"
  3690. slice_param {
  3691. slice_point: 1024
  3692. axis: 1
  3693. }
  3694. }
  3695. layer {
  3696. name: "Eltwise15"
  3697. type: "Eltwise"
  3698. bottom: "Eltwise14"
  3699. bottom: "Slice35"
  3700. top: "Eltwise15"
  3701. }
  3702. layer {
  3703. name: "BatchNorm54"
  3704. type: "BatchNorm"
  3705. bottom: "Eltwise15"
  3706. top: "BatchNorm54"
  3707. param {
  3708. lr_mult: 0.0
  3709. decay_mult: 0.0
  3710. }
  3711. param {
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  3713. decay_mult: 0.0
  3714. }
  3715. param {
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  3717. decay_mult: 0.0
  3718. }
  3719. }
  3720. layer {
  3721. name: "Scale54"
  3722. type: "Scale"
  3723. bottom: "BatchNorm54"
  3724. top: "BatchNorm54"
  3725. scale_param {
  3726. filler {
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  3728. }
  3729. bias_term: true
  3730. bias_filler {
  3731. value: 0.0
  3732. }
  3733. }
  3734. }
  3735. layer {
  3736. name: "ReLU54"
  3737. type: "ReLU"
  3738. bottom: "BatchNorm54"
  3739. top: "ReLU54"
  3740. }
  3741. layer {
  3742. name: "Convolution54"
  3743. type: "Convolution"
  3744. bottom: "ReLU54"
  3745. top: "Convolution54"
  3746. convolution_param {
  3747. num_output: 1024
  3748. bias_term: false
  3749. pad: 0
  3750. kernel_size: 1
  3751. stride: 1
  3752. weight_filler {
  3753. type: "xavier"
  3754. }
  3755. bias_filler {
  3756. type: "constant"
  3757. }
  3758. }
  3759. }
  3760. layer {
  3761. name: "Concat29"
  3762. type: "Concat"
  3763. bottom: "Concat27"
  3764. bottom: "Slice36"
  3765. top: "Concat29"
  3766. concat_param {
  3767. axis: 1
  3768. }
  3769. }
  3770. layer {
  3771. name: "BatchNorm55"
  3772. type: "BatchNorm"
  3773. bottom: "Concat29"
  3774. top: "BatchNorm55"
  3775. param {
  3776. lr_mult: 0.0
  3777. decay_mult: 0.0
  3778. }
  3779. param {
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  3781. decay_mult: 0.0
  3782. }
  3783. param {
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  3785. decay_mult: 0.0
  3786. }
  3787. }
  3788. layer {
  3789. name: "Scale55"
  3790. type: "Scale"
  3791. bottom: "BatchNorm55"
  3792. top: "BatchNorm55"
  3793. scale_param {
  3794. filler {
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  3797. bias_term: true
  3798. bias_filler {
  3799. value: 0.0
  3800. }
  3801. }
  3802. }
  3803. layer {
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  3805. type: "ReLU"
  3806. bottom: "BatchNorm55"
  3807. top: "ReLU55"
  3808. }
  3809. layer {
  3810. name: "Convolution55"
  3811. type: "Convolution"
  3812. bottom: "ReLU55"
  3813. top: "Convolution55"
  3814. convolution_param {
  3815. num_output: 272
  3816. bias_term: false
  3817. pad: 0
  3818. kernel_size: 1
  3819. stride: 1
  3820. weight_filler {
  3821. type: "xavier"
  3822. }
  3823. bias_filler {
  3824. type: "constant"
  3825. }
  3826. }
  3827. }
  3828. layer {
  3829. name: "Concat30"
  3830. type: "Concat"
  3831. bottom: "Convolution54"
  3832. bottom: "Convolution55"
  3833. top: "Concat30"
  3834. concat_param {
  3835. axis: 1
  3836. }
  3837. }
  3838. layer {
  3839. name: "BatchNorm56"
  3840. type: "BatchNorm"
  3841. bottom: "Concat30"
  3842. top: "BatchNorm56"
  3843. param {
  3844. lr_mult: 0.0
  3845. decay_mult: 0.0
  3846. }
  3847. param {
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  3849. decay_mult: 0.0
  3850. }
  3851. param {
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  3853. decay_mult: 0.0
  3854. }
  3855. }
  3856. layer {
  3857. name: "Scale56"
  3858. type: "Scale"
  3859. bottom: "BatchNorm56"
  3860. top: "BatchNorm56"
  3861. scale_param {
  3862. filler {
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  3864. }
  3865. bias_term: true
  3866. bias_filler {
  3867. value: 0.0
  3868. }
  3869. }
  3870. }
  3871. layer {
  3872. name: "ReLU56"
  3873. type: "ReLU"
  3874. bottom: "BatchNorm56"
  3875. top: "BatchNorm56"
  3876. }
  3877. layer {
  3878. name: "Convolution56"
  3879. type: "Convolution"
  3880. bottom: "BatchNorm56"
  3881. top: "Convolution56"
  3882. convolution_param {
  3883. num_output: 352
  3884. bias_term: false
  3885. pad: 0
  3886. kernel_size: 1
  3887. stride: 1
  3888. weight_filler {
  3889. type: "xavier"
  3890. }
  3891. bias_filler {
  3892. type: "constant"
  3893. }
  3894. }
  3895. }
  3896. layer {
  3897. name: "BatchNorm57"
  3898. type: "BatchNorm"
  3899. bottom: "Convolution56"
  3900. top: "BatchNorm57"
  3901. param {
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  3903. decay_mult: 0.0
  3904. }
  3905. param {
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  3907. decay_mult: 0.0
  3908. }
  3909. param {
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  3911. decay_mult: 0.0
  3912. }
  3913. }
  3914. layer {
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  3916. type: "Scale"
  3917. bottom: "BatchNorm57"
  3918. top: "BatchNorm57"
  3919. scale_param {
  3920. filler {
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  3923. bias_term: true
  3924. bias_filler {
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  3926. }
  3927. }
  3928. }
  3929. layer {
  3930. name: "ReLU57"
  3931. type: "ReLU"
  3932. bottom: "BatchNorm57"
  3933. top: "BatchNorm57"
  3934. }
  3935. layer {
  3936. name: "Convolution57"
  3937. type: "Convolution"
  3938. bottom: "BatchNorm57"
  3939. top: "Convolution57"
  3940. convolution_param {
  3941. num_output: 352
  3942. bias_term: false
  3943. pad: 1
  3944. kernel_size: 3
  3945. group: 32
  3946. stride: 1
  3947. weight_filler {
  3948. type: "xavier"
  3949. }
  3950. bias_filler {
  3951. type: "constant"
  3952. }
  3953. }
  3954. }
  3955. layer {
  3956. name: "BatchNorm58"
  3957. type: "BatchNorm"
  3958. bottom: "Convolution57"
  3959. top: "BatchNorm58"
  3960. param {
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  3962. decay_mult: 0.0
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  3964. param {
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  3966. decay_mult: 0.0
  3967. }
  3968. param {
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  3970. decay_mult: 0.0
  3971. }
  3972. }
  3973. layer {
  3974. name: "Scale58"
  3975. type: "Scale"
  3976. bottom: "BatchNorm58"
  3977. top: "BatchNorm58"
  3978. scale_param {
  3979. filler {
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  3982. bias_term: true
  3983. bias_filler {
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  3986. }
  3987. }
  3988. layer {
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  3990. type: "ReLU"
  3991. bottom: "BatchNorm58"
  3992. top: "BatchNorm58"
  3993. }
  3994. layer {
  3995. name: "Convolution58"
  3996. type: "Convolution"
  3997. bottom: "BatchNorm58"
  3998. top: "Convolution58"
  3999. convolution_param {
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  4001. bias_term: false
  4002. pad: 0
  4003. kernel_size: 1
  4004. stride: 1
  4005. weight_filler {
  4006. type: "xavier"
  4007. }
  4008. bias_filler {
  4009. type: "constant"
  4010. }
  4011. }
  4012. }
  4013. layer {
  4014. name: "Slice37"
  4015. type: "Slice"
  4016. bottom: "Convolution58"
  4017. top: "Slice37"
  4018. top: "Slice38"
  4019. slice_param {
  4020. slice_point: 1024
  4021. axis: 1
  4022. }
  4023. }
  4024. layer {
  4025. name: "Eltwise16"
  4026. type: "Eltwise"
  4027. bottom: "Convolution54"
  4028. bottom: "Slice37"
  4029. top: "Eltwise16"
  4030. }
  4031. layer {
  4032. name: "Concat31"
  4033. type: "Concat"
  4034. bottom: "Convolution55"
  4035. bottom: "Slice38"
  4036. top: "Concat31"
  4037. concat_param {
  4038. axis: 1
  4039. }
  4040. }
  4041. layer {
  4042. name: "Concat32"
  4043. type: "Concat"
  4044. bottom: "Eltwise16"
  4045. bottom: "Concat31"
  4046. top: "Concat32"
  4047. concat_param {
  4048. axis: 1
  4049. }
  4050. }
  4051. layer {
  4052. name: "BatchNorm59"
  4053. type: "BatchNorm"
  4054. bottom: "Concat32"
  4055. top: "BatchNorm59"
  4056. param {
  4057. lr_mult: 0.0
  4058. decay_mult: 0.0
  4059. }
  4060. param {
  4061. lr_mult: 0.0
  4062. decay_mult: 0.0
  4063. }
  4064. param {
  4065. lr_mult: 0.0
  4066. decay_mult: 0.0
  4067. }
  4068. }
  4069. layer {
  4070. name: "Scale59"
  4071. type: "Scale"
  4072. bottom: "BatchNorm59"
  4073. top: "BatchNorm59"
  4074. scale_param {
  4075. filler {
  4076. value: 1.0
  4077. }
  4078. bias_term: true
  4079. bias_filler {
  4080. value: 0.0
  4081. }
  4082. }
  4083. }
  4084. layer {
  4085. name: "ReLU59"
  4086. type: "ReLU"
  4087. bottom: "BatchNorm59"
  4088. top: "BatchNorm59"
  4089. }
  4090. layer {
  4091. name: "Convolution59"
  4092. type: "Convolution"
  4093. bottom: "BatchNorm59"
  4094. top: "Convolution59"
  4095. convolution_param {
  4096. num_output: 352
  4097. bias_term: false
  4098. pad: 0
  4099. kernel_size: 1
  4100. stride: 1
  4101. weight_filler {
  4102. type: "xavier"
  4103. }
  4104. bias_filler {
  4105. type: "constant"
  4106. }
  4107. }
  4108. }
  4109. layer {
  4110. name: "BatchNorm60"
  4111. type: "BatchNorm"
  4112. bottom: "Convolution59"
  4113. top: "BatchNorm60"
  4114. param {
  4115. lr_mult: 0.0
  4116. decay_mult: 0.0
  4117. }
  4118. param {
  4119. lr_mult: 0.0
  4120. decay_mult: 0.0
  4121. }
  4122. param {
  4123. lr_mult: 0.0
  4124. decay_mult: 0.0
  4125. }
  4126. }
  4127. layer {
  4128. name: "Scale60"
  4129. type: "Scale"
  4130. bottom: "BatchNorm60"
  4131. top: "BatchNorm60"
  4132. scale_param {
  4133. filler {
  4134. value: 1.0
  4135. }
  4136. bias_term: true
  4137. bias_filler {
  4138. value: 0.0
  4139. }
  4140. }
  4141. }
  4142. layer {
  4143. name: "ReLU60"
  4144. type: "ReLU"
  4145. bottom: "BatchNorm60"
  4146. top: "BatchNorm60"
  4147. }
  4148. layer {
  4149. name: "Convolution60"
  4150. type: "Convolution"
  4151. bottom: "BatchNorm60"
  4152. top: "Convolution60"
  4153. convolution_param {
  4154. num_output: 352
  4155. bias_term: false
  4156. pad: 1
  4157. kernel_size: 3
  4158. group: 32
  4159. stride: 1
  4160. weight_filler {
  4161. type: "xavier"
  4162. }
  4163. bias_filler {
  4164. type: "constant"
  4165. }
  4166. }
  4167. }
  4168. layer {
  4169. name: "BatchNorm61"
  4170. type: "BatchNorm"
  4171. bottom: "Convolution60"
  4172. top: "BatchNorm61"
  4173. param {
  4174. lr_mult: 0.0
  4175. decay_mult: 0.0
  4176. }
  4177. param {
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  4179. decay_mult: 0.0
  4180. }
  4181. param {
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  4183. decay_mult: 0.0
  4184. }
  4185. }
  4186. layer {
  4187. name: "Scale61"
  4188. type: "Scale"
  4189. bottom: "BatchNorm61"
  4190. top: "BatchNorm61"
  4191. scale_param {
  4192. filler {
  4193. value: 1.0
  4194. }
  4195. bias_term: true
  4196. bias_filler {
  4197. value: 0.0
  4198. }
  4199. }
  4200. }
  4201. layer {
  4202. name: "ReLU61"
  4203. type: "ReLU"
  4204. bottom: "BatchNorm61"
  4205. top: "BatchNorm61"
  4206. }
  4207. layer {
  4208. name: "Convolution61"
  4209. type: "Convolution"
  4210. bottom: "BatchNorm61"
  4211. top: "Convolution61"
  4212. convolution_param {
  4213. num_output: 1072
  4214. bias_term: false
  4215. pad: 0
  4216. kernel_size: 1
  4217. stride: 1
  4218. weight_filler {
  4219. type: "xavier"
  4220. }
  4221. bias_filler {
  4222. type: "constant"
  4223. }
  4224. }
  4225. }
  4226. layer {
  4227. name: "Slice39"
  4228. type: "Slice"
  4229. bottom: "Convolution61"
  4230. top: "Slice39"
  4231. top: "Slice40"
  4232. slice_param {
  4233. slice_point: 1024
  4234. axis: 1
  4235. }
  4236. }
  4237. layer {
  4238. name: "Eltwise17"
  4239. type: "Eltwise"
  4240. bottom: "Eltwise16"
  4241. bottom: "Slice39"
  4242. top: "Eltwise17"
  4243. }
  4244. layer {
  4245. name: "Concat33"
  4246. type: "Concat"
  4247. bottom: "Concat31"
  4248. bottom: "Slice40"
  4249. top: "Concat33"
  4250. concat_param {
  4251. axis: 1
  4252. }
  4253. }
  4254. layer {
  4255. name: "Concat34"
  4256. type: "Concat"
  4257. bottom: "Eltwise17"
  4258. bottom: "Concat33"
  4259. top: "Concat34"
  4260. concat_param {
  4261. axis: 1
  4262. }
  4263. }
  4264. layer {
  4265. name: "BatchNorm62"
  4266. type: "BatchNorm"
  4267. bottom: "Concat34"
  4268. top: "BatchNorm62"
  4269. param {
  4270. lr_mult: 0.0
  4271. decay_mult: 0.0
  4272. }
  4273. param {
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  4275. decay_mult: 0.0
  4276. }
  4277. param {
  4278. lr_mult: 0.0
  4279. decay_mult: 0.0
  4280. }
  4281. }
  4282. layer {
  4283. name: "Scale62"
  4284. type: "Scale"
  4285. bottom: "BatchNorm62"
  4286. top: "BatchNorm62"
  4287. scale_param {
  4288. filler {
  4289. value: 1.0
  4290. }
  4291. bias_term: true
  4292. bias_filler {
  4293. value: 0.0
  4294. }
  4295. }
  4296. }
  4297. layer {
  4298. name: "ReLU62"
  4299. type: "ReLU"
  4300. bottom: "BatchNorm62"
  4301. top: "BatchNorm62"
  4302. }
  4303. layer {
  4304. name: "Convolution62"
  4305. type: "Convolution"
  4306. bottom: "BatchNorm62"
  4307. top: "Convolution62"
  4308. convolution_param {
  4309. num_output: 352
  4310. bias_term: false
  4311. pad: 0
  4312. kernel_size: 1
  4313. stride: 1
  4314. weight_filler {
  4315. type: "xavier"
  4316. }
  4317. bias_filler {
  4318. type: "constant"
  4319. }
  4320. }
  4321. }
  4322. layer {
  4323. name: "BatchNorm63"
  4324. type: "BatchNorm"
  4325. bottom: "Convolution62"
  4326. top: "BatchNorm63"
  4327. param {
  4328. lr_mult: 0.0
  4329. decay_mult: 0.0
  4330. }
  4331. param {
  4332. lr_mult: 0.0
  4333. decay_mult: 0.0
  4334. }
  4335. param {
  4336. lr_mult: 0.0
  4337. decay_mult: 0.0
  4338. }
  4339. }
  4340. layer {
  4341. name: "Scale63"
  4342. type: "Scale"
  4343. bottom: "BatchNorm63"
  4344. top: "BatchNorm63"
  4345. scale_param {
  4346. filler {
  4347. value: 1.0
  4348. }
  4349. bias_term: true
  4350. bias_filler {
  4351. value: 0.0
  4352. }
  4353. }
  4354. }
  4355. layer {
  4356. name: "ReLU63"
  4357. type: "ReLU"
  4358. bottom: "BatchNorm63"
  4359. top: "BatchNorm63"
  4360. }
  4361. layer {
  4362. name: "Convolution63"
  4363. type: "Convolution"
  4364. bottom: "BatchNorm63"
  4365. top: "Convolution63"
  4366. convolution_param {
  4367. num_output: 352
  4368. bias_term: false
  4369. pad: 1
  4370. kernel_size: 3
  4371. group: 32
  4372. stride: 1
  4373. weight_filler {
  4374. type: "xavier"
  4375. }
  4376. bias_filler {
  4377. type: "constant"
  4378. }
  4379. }
  4380. }
  4381. layer {
  4382. name: "BatchNorm64"
  4383. type: "BatchNorm"
  4384. bottom: "Convolution63"
  4385. top: "BatchNorm64"
  4386. param {
  4387. lr_mult: 0.0
  4388. decay_mult: 0.0
  4389. }
  4390. param {
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  4392. decay_mult: 0.0
  4393. }
  4394. param {
  4395. lr_mult: 0.0
  4396. decay_mult: 0.0
  4397. }
  4398. }
  4399. layer {
  4400. name: "Scale64"
  4401. type: "Scale"
  4402. bottom: "BatchNorm64"
  4403. top: "BatchNorm64"
  4404. scale_param {
  4405. filler {
  4406. value: 1.0
  4407. }
  4408. bias_term: true
  4409. bias_filler {
  4410. value: 0.0
  4411. }
  4412. }
  4413. }
  4414. layer {
  4415. name: "ReLU64"
  4416. type: "ReLU"
  4417. bottom: "BatchNorm64"
  4418. top: "BatchNorm64"
  4419. }
  4420. layer {
  4421. name: "Convolution64"
  4422. type: "Convolution"
  4423. bottom: "BatchNorm64"
  4424. top: "Convolution64"
  4425. convolution_param {
  4426. num_output: 1072
  4427. bias_term: false
  4428. pad: 0
  4429. kernel_size: 1
  4430. stride: 1
  4431. weight_filler {
  4432. type: "xavier"
  4433. }
  4434. bias_filler {
  4435. type: "constant"
  4436. }
  4437. }
  4438. }
  4439. layer {
  4440. name: "Slice41"
  4441. type: "Slice"
  4442. bottom: "Convolution64"
  4443. top: "Slice41"
  4444. top: "Slice42"
  4445. slice_param {
  4446. slice_point: 1024
  4447. axis: 1
  4448. }
  4449. }
  4450. layer {
  4451. name: "Eltwise18"
  4452. type: "Eltwise"
  4453. bottom: "Eltwise17"
  4454. bottom: "Slice41"
  4455. top: "Eltwise18"
  4456. }
  4457. layer {
  4458. name: "Concat35"
  4459. type: "Concat"
  4460. bottom: "Concat33"
  4461. bottom: "Slice42"
  4462. top: "Concat35"
  4463. concat_param {
  4464. axis: 1
  4465. }
  4466. }
  4467. layer {
  4468. name: "Concat36"
  4469. type: "Concat"
  4470. bottom: "Eltwise18"
  4471. bottom: "Concat35"
  4472. top: "Concat36"
  4473. concat_param {
  4474. axis: 1
  4475. }
  4476. }
  4477. layer {
  4478. name: "BatchNorm65"
  4479. type: "BatchNorm"
  4480. bottom: "Concat36"
  4481. top: "BatchNorm65"
  4482. param {
  4483. lr_mult: 0.0
  4484. decay_mult: 0.0
  4485. }
  4486. param {
  4487. lr_mult: 0.0
  4488. decay_mult: 0.0
  4489. }
  4490. param {
  4491. lr_mult: 0.0
  4492. decay_mult: 0.0
  4493. }
  4494. }
  4495. layer {
  4496. name: "Scale65"
  4497. type: "Scale"
  4498. bottom: "BatchNorm65"
  4499. top: "BatchNorm65"
  4500. scale_param {
  4501. filler {
  4502. value: 1.0
  4503. }
  4504. bias_term: true
  4505. bias_filler {
  4506. value: 0.0
  4507. }
  4508. }
  4509. }
  4510. layer {
  4511. name: "ReLU65"
  4512. type: "ReLU"
  4513. bottom: "BatchNorm65"
  4514. top: "BatchNorm65"
  4515. }
  4516. layer {
  4517. name: "Convolution65"
  4518. type: "Convolution"
  4519. bottom: "BatchNorm65"
  4520. top: "Convolution65"
  4521. convolution_param {
  4522. num_output: 352
  4523. bias_term: false
  4524. pad: 0
  4525. kernel_size: 1
  4526. stride: 1
  4527. weight_filler {
  4528. type: "xavier"
  4529. }
  4530. bias_filler {
  4531. type: "constant"
  4532. }
  4533. }
  4534. }
  4535. layer {
  4536. name: "BatchNorm66"
  4537. type: "BatchNorm"
  4538. bottom: "Convolution65"
  4539. top: "BatchNorm66"
  4540. param {
  4541. lr_mult: 0.0
  4542. decay_mult: 0.0
  4543. }
  4544. param {
  4545. lr_mult: 0.0
  4546. decay_mult: 0.0
  4547. }
  4548. param {
  4549. lr_mult: 0.0
  4550. decay_mult: 0.0
  4551. }
  4552. }
  4553. layer {
  4554. name: "Scale66"
  4555. type: "Scale"
  4556. bottom: "BatchNorm66"
  4557. top: "BatchNorm66"
  4558. scale_param {
  4559. filler {
  4560. value: 1.0
  4561. }
  4562. bias_term: true
  4563. bias_filler {
  4564. value: 0.0
  4565. }
  4566. }
  4567. }
  4568. layer {
  4569. name: "ReLU66"
  4570. type: "ReLU"
  4571. bottom: "BatchNorm66"
  4572. top: "BatchNorm66"
  4573. }
  4574. layer {
  4575. name: "Convolution66"
  4576. type: "Convolution"
  4577. bottom: "BatchNorm66"
  4578. top: "Convolution66"
  4579. convolution_param {
  4580. num_output: 352
  4581. bias_term: false
  4582. pad: 1
  4583. kernel_size: 3
  4584. group: 32
  4585. stride: 1
  4586. weight_filler {
  4587. type: "xavier"
  4588. }
  4589. bias_filler {
  4590. type: "constant"
  4591. }
  4592. }
  4593. }
  4594. layer {
  4595. name: "BatchNorm67"
  4596. type: "BatchNorm"
  4597. bottom: "Convolution66"
  4598. top: "BatchNorm67"
  4599. param {
  4600. lr_mult: 0.0
  4601. decay_mult: 0.0
  4602. }
  4603. param {
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  4605. decay_mult: 0.0
  4606. }
  4607. param {
  4608. lr_mult: 0.0
  4609. decay_mult: 0.0
  4610. }
  4611. }
  4612. layer {
  4613. name: "Scale67"
  4614. type: "Scale"
  4615. bottom: "BatchNorm67"
  4616. top: "BatchNorm67"
  4617. scale_param {
  4618. filler {
  4619. value: 1.0
  4620. }
  4621. bias_term: true
  4622. bias_filler {
  4623. value: 0.0
  4624. }
  4625. }
  4626. }
  4627. layer {
  4628. name: "ReLU67"
  4629. type: "ReLU"
  4630. bottom: "BatchNorm67"
  4631. top: "BatchNorm67"
  4632. }
  4633. layer {
  4634. name: "Convolution67"
  4635. type: "Convolution"
  4636. bottom: "BatchNorm67"
  4637. top: "Convolution67"
  4638. convolution_param {
  4639. num_output: 1072
  4640. bias_term: false
  4641. pad: 0
  4642. kernel_size: 1
  4643. stride: 1
  4644. weight_filler {
  4645. type: "xavier"
  4646. }
  4647. bias_filler {
  4648. type: "constant"
  4649. }
  4650. }
  4651. }
  4652. layer {
  4653. name: "Slice43"
  4654. type: "Slice"
  4655. bottom: "Convolution67"
  4656. top: "Slice43"
  4657. top: "Slice44"
  4658. slice_param {
  4659. slice_point: 1024
  4660. axis: 1
  4661. }
  4662. }
  4663. layer {
  4664. name: "Eltwise19"
  4665. type: "Eltwise"
  4666. bottom: "Eltwise18"
  4667. bottom: "Slice43"
  4668. top: "Eltwise19"
  4669. }
  4670. layer {
  4671. name: "BatchNorm68"
  4672. type: "BatchNorm"
  4673. bottom: "Eltwise19"
  4674. top: "BatchNorm68"
  4675. param {
  4676. lr_mult: 0.0
  4677. decay_mult: 0.0
  4678. }
  4679. param {
  4680. lr_mult: 0.0
  4681. decay_mult: 0.0
  4682. }
  4683. param {
  4684. lr_mult: 0.0
  4685. decay_mult: 0.0
  4686. }
  4687. }
  4688. layer {
  4689. name: "Scale68"
  4690. type: "Scale"
  4691. bottom: "BatchNorm68"
  4692. top: "BatchNorm68"
  4693. scale_param {
  4694. filler {
  4695. value: 1.0
  4696. }
  4697. bias_term: true
  4698. bias_filler {
  4699. value: 0.0
  4700. }
  4701. }
  4702. }
  4703. layer {
  4704. name: "ReLU68"
  4705. type: "ReLU"
  4706. bottom: "BatchNorm68"
  4707. top: "ReLU68"
  4708. }
  4709. layer {
  4710. name: "Convolution68"
  4711. type: "Convolution"
  4712. bottom: "ReLU68"
  4713. top: "Convolution68"
  4714. convolution_param {
  4715. num_output: 1024
  4716. bias_term: false
  4717. pad: 0
  4718. kernel_size: 1
  4719. stride: 1
  4720. weight_filler {
  4721. type: "xavier"
  4722. }
  4723. bias_filler {
  4724. type: "constant"
  4725. }
  4726. }
  4727. }
  4728. layer {
  4729. name: "Concat37"
  4730. type: "Concat"
  4731. bottom: "Concat35"
  4732. bottom: "Slice44"
  4733. top: "Concat37"
  4734. concat_param {
  4735. axis: 1
  4736. }
  4737. }
  4738. layer {
  4739. name: "BatchNorm69"
  4740. type: "BatchNorm"
  4741. bottom: "Concat37"
  4742. top: "BatchNorm69"
  4743. param {
  4744. lr_mult: 0.0
  4745. decay_mult: 0.0
  4746. }
  4747. param {
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  4749. decay_mult: 0.0
  4750. }
  4751. param {
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  4753. decay_mult: 0.0
  4754. }
  4755. }
  4756. layer {
  4757. name: "Scale69"
  4758. type: "Scale"
  4759. bottom: "BatchNorm69"
  4760. top: "BatchNorm69"
  4761. scale_param {
  4762. filler {
  4763. value: 1.0
  4764. }
  4765. bias_term: true
  4766. bias_filler {
  4767. value: 0.0
  4768. }
  4769. }
  4770. }
  4771. layer {
  4772. name: "ReLU69"
  4773. type: "ReLU"
  4774. bottom: "BatchNorm69"
  4775. top: "ReLU69"
  4776. }
  4777. layer {
  4778. name: "Convolution69"
  4779. type: "Convolution"
  4780. bottom: "ReLU69"
  4781. top: "Convolution69"
  4782. convolution_param {
  4783. num_output: 464
  4784. bias_term: false
  4785. pad: 0
  4786. kernel_size: 1
  4787. stride: 1
  4788. weight_filler {
  4789. type: "xavier"
  4790. }
  4791. bias_filler {
  4792. type: "constant"
  4793. }
  4794. }
  4795. }
  4796. layer {
  4797. name: "Concat38"
  4798. type: "Concat"
  4799. bottom: "Convolution68"
  4800. bottom: "Convolution69"
  4801. top: "Concat38"
  4802. concat_param {
  4803. axis: 1
  4804. }
  4805. }
  4806. layer {
  4807. name: "Pooling2"
  4808. type: "Pooling"
  4809. bottom: "First"
  4810. top: "Pooling2"
  4811. pooling_param {
  4812. pool: MAX
  4813. kernel_size: 2
  4814. stride: 2
  4815. }
  4816. }
  4817. layer {
  4818. name: "BatchNorm70"
  4819. type: "BatchNorm"
  4820. bottom: "Pooling2"
  4821. top: "BatchNorm70"
  4822. param {
  4823. lr_mult: 0.0
  4824. decay_mult: 0.0
  4825. }
  4826. param {
  4827. lr_mult: 0.0
  4828. decay_mult: 0.0
  4829. }
  4830. param {
  4831. lr_mult: 0.0
  4832. decay_mult: 0.0
  4833. }
  4834. }
  4835. layer {
  4836. name: "Scale70"
  4837. type: "Scale"
  4838. bottom: "BatchNorm70"
  4839. top: "BatchNorm70"
  4840. scale_param {
  4841. filler {
  4842. value: 1.0
  4843. }
  4844. bias_term: true
  4845. bias_filler {
  4846. value: 0.0
  4847. }
  4848. }
  4849. }
  4850. layer {
  4851. name: "ReLU70"
  4852. type: "ReLU"
  4853. bottom: "BatchNorm70"
  4854. top: "BatchNorm70"
  4855. }
  4856. layer {
  4857. name: "Convolution70"
  4858. type: "Convolution"
  4859. bottom: "BatchNorm70"
  4860. top: "Convolution70"
  4861. convolution_param {
  4862. num_output: 256
  4863. bias_term: false
  4864. pad: 0
  4865. kernel_size: 1
  4866. stride: 1
  4867. weight_filler {
  4868. type: "xavier"
  4869. }
  4870. bias_filler {
  4871. type: "constant"
  4872. }
  4873. }
  4874. }
  4875. layer {
  4876. name: "Second"
  4877. type: "Concat"
  4878. bottom: "Concat38"
  4879. bottom: "Convolution70"
  4880. top: "Second"
  4881. concat_param {
  4882. axis: 1
  4883. }
  4884. }
  4885. layer {
  4886. name: "Pooling3"
  4887. type: "Pooling"
  4888. bottom: "Second"
  4889. top: "Pooling3"
  4890. pooling_param {
  4891. pool: MAX
  4892. kernel_size: 2
  4893. stride: 2
  4894. }
  4895. }
  4896. layer {
  4897. name: "BatchNorm71"
  4898. type: "BatchNorm"
  4899. bottom: "Pooling3"
  4900. top: "BatchNorm71"
  4901. param {
  4902. lr_mult: 0.0
  4903. decay_mult: 0.0
  4904. }
  4905. param {
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  4907. decay_mult: 0.0
  4908. }
  4909. param {
  4910. lr_mult: 0.0
  4911. decay_mult: 0.0
  4912. }
  4913. }
  4914. layer {
  4915. name: "Scale71"
  4916. type: "Scale"
  4917. bottom: "BatchNorm71"
  4918. top: "BatchNorm71"
  4919. scale_param {
  4920. filler {
  4921. value: 1.0
  4922. }
  4923. bias_term: true
  4924. bias_filler {
  4925. value: 0.0
  4926. }
  4927. }
  4928. }
  4929. layer {
  4930. name: "ReLU71"
  4931. type: "ReLU"
  4932. bottom: "BatchNorm71"
  4933. top: "BatchNorm71"
  4934. }
  4935. layer {
  4936. name: "Convolution71"
  4937. type: "Convolution"
  4938. bottom: "BatchNorm71"
  4939. top: "Convolution71"
  4940. convolution_param {
  4941. num_output: 256
  4942. bias_term: false
  4943. pad: 0
  4944. kernel_size: 1
  4945. stride: 1
  4946. weight_filler {
  4947. type: "xavier"
  4948. }
  4949. bias_filler {
  4950. type: "constant"
  4951. }
  4952. }
  4953. }
  4954. layer {
  4955. name: "BatchNorm72"
  4956. type: "BatchNorm"
  4957. bottom: "Second"
  4958. top: "BatchNorm72"
  4959. param {
  4960. lr_mult: 0.0
  4961. decay_mult: 0.0
  4962. }
  4963. param {
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  4965. decay_mult: 0.0
  4966. }
  4967. param {
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  4969. decay_mult: 0.0
  4970. }
  4971. }
  4972. layer {
  4973. name: "Scale72"
  4974. type: "Scale"
  4975. bottom: "BatchNorm72"
  4976. top: "BatchNorm72"
  4977. scale_param {
  4978. filler {
  4979. value: 1.0
  4980. }
  4981. bias_term: true
  4982. bias_filler {
  4983. value: 0.0
  4984. }
  4985. }
  4986. }
  4987. layer {
  4988. name: "ReLU72"
  4989. type: "ReLU"
  4990. bottom: "BatchNorm72"
  4991. top: "BatchNorm72"
  4992. }
  4993. layer {
  4994. name: "Convolution72"
  4995. type: "Convolution"
  4996. bottom: "BatchNorm72"
  4997. top: "Convolution72"
  4998. convolution_param {
  4999. num_output: 256
  5000. bias_term: false
  5001. pad: 0
  5002. kernel_size: 1
  5003. stride: 1
  5004. weight_filler {
  5005. type: "xavier"
  5006. }
  5007. bias_filler {
  5008. type: "constant"
  5009. }
  5010. }
  5011. }
  5012. layer {
  5013. name: "BatchNorm73"
  5014. type: "BatchNorm"
  5015. bottom: "Convolution72"
  5016. top: "BatchNorm73"
  5017. param {
  5018. lr_mult: 0.0
  5019. decay_mult: 0.0
  5020. }
  5021. param {
  5022. lr_mult: 0.0
  5023. decay_mult: 0.0
  5024. }
  5025. param {
  5026. lr_mult: 0.0
  5027. decay_mult: 0.0
  5028. }
  5029. }
  5030. layer {
  5031. name: "Scale73"
  5032. type: "Scale"
  5033. bottom: "BatchNorm73"
  5034. top: "BatchNorm73"
  5035. scale_param {
  5036. filler {
  5037. value: 1.0
  5038. }
  5039. bias_term: true
  5040. bias_filler {
  5041. value: 0.0
  5042. }
  5043. }
  5044. }
  5045. layer {
  5046. name: "ReLU73"
  5047. type: "ReLU"
  5048. bottom: "BatchNorm73"
  5049. top: "BatchNorm73"
  5050. }
  5051. layer {
  5052. name: "Convolution73"
  5053. type: "Convolution"
  5054. bottom: "BatchNorm73"
  5055. top: "Convolution73"
  5056. convolution_param {
  5057. num_output: 256
  5058. bias_term: false
  5059. pad: 1
  5060. kernel_size: 3
  5061. stride: 2
  5062. weight_filler {
  5063. type: "xavier"
  5064. }
  5065. bias_filler {
  5066. type: "constant"
  5067. }
  5068. }
  5069. }
  5070. layer {
  5071. name: "Third"
  5072. type: "Concat"
  5073. bottom: "Convolution71"
  5074. bottom: "Convolution73"
  5075. top: "Third"
  5076. concat_param {
  5077. axis: 1
  5078. }
  5079. }
  5080. layer {
  5081. name: "Pooling4"
  5082. type: "Pooling"
  5083. bottom: "Third"
  5084. top: "Pooling4"
  5085. pooling_param {
  5086. pool: MAX
  5087. kernel_size: 2
  5088. stride: 2
  5089. }
  5090. }
  5091. layer {
  5092. name: "BatchNorm74"
  5093. type: "BatchNorm"
  5094. bottom: "Pooling4"
  5095. top: "BatchNorm74"
  5096. param {
  5097. lr_mult: 0.0
  5098. decay_mult: 0.0
  5099. }
  5100. param {
  5101. lr_mult: 0.0
  5102. decay_mult: 0.0
  5103. }
  5104. param {
  5105. lr_mult: 0.0
  5106. decay_mult: 0.0
  5107. }
  5108. }
  5109. layer {
  5110. name: "Scale74"
  5111. type: "Scale"
  5112. bottom: "BatchNorm74"
  5113. top: "BatchNorm74"
  5114. scale_param {
  5115. filler {
  5116. value: 1.0
  5117. }
  5118. bias_term: true
  5119. bias_filler {
  5120. value: 0.0
  5121. }
  5122. }
  5123. }
  5124. layer {
  5125. name: "ReLU74"
  5126. type: "ReLU"
  5127. bottom: "BatchNorm74"
  5128. top: "BatchNorm74"
  5129. }
  5130. layer {
  5131. name: "Convolution74"
  5132. type: "Convolution"
  5133. bottom: "BatchNorm74"
  5134. top: "Convolution74"
  5135. convolution_param {
  5136. num_output: 128
  5137. bias_term: false
  5138. pad: 0
  5139. kernel_size: 1
  5140. stride: 1
  5141. weight_filler {
  5142. type: "xavier"
  5143. }
  5144. bias_filler {
  5145. type: "constant"
  5146. }
  5147. }
  5148. }
  5149. layer {
  5150. name: "BatchNorm75"
  5151. type: "BatchNorm"
  5152. bottom: "Third"
  5153. top: "BatchNorm75"
  5154. param {
  5155. lr_mult: 0.0
  5156. decay_mult: 0.0
  5157. }
  5158. param {
  5159. lr_mult: 0.0
  5160. decay_mult: 0.0
  5161. }
  5162. param {
  5163. lr_mult: 0.0
  5164. decay_mult: 0.0
  5165. }
  5166. }
  5167. layer {
  5168. name: "Scale75"
  5169. type: "Scale"
  5170. bottom: "BatchNorm75"
  5171. top: "BatchNorm75"
  5172. scale_param {
  5173. filler {
  5174. value: 1.0
  5175. }
  5176. bias_term: true
  5177. bias_filler {
  5178. value: 0.0
  5179. }
  5180. }
  5181. }
  5182. layer {
  5183. name: "ReLU75"
  5184. type: "ReLU"
  5185. bottom: "BatchNorm75"
  5186. top: "BatchNorm75"
  5187. }
  5188. layer {
  5189. name: "Convolution75"
  5190. type: "Convolution"
  5191. bottom: "BatchNorm75"
  5192. top: "Convolution75"
  5193. convolution_param {
  5194. num_output: 128
  5195. bias_term: false
  5196. pad: 0
  5197. kernel_size: 1
  5198. stride: 1
  5199. weight_filler {
  5200. type: "xavier"
  5201. }
  5202. bias_filler {
  5203. type: "constant"
  5204. }
  5205. }
  5206. }
  5207. layer {
  5208. name: "BatchNorm76"
  5209. type: "BatchNorm"
  5210. bottom: "Convolution75"
  5211. top: "BatchNorm76"
  5212. param {
  5213. lr_mult: 0.0
  5214. decay_mult: 0.0
  5215. }
  5216. param {
  5217. lr_mult: 0.0
  5218. decay_mult: 0.0
  5219. }
  5220. param {
  5221. lr_mult: 0.0
  5222. decay_mult: 0.0
  5223. }
  5224. }
  5225. layer {
  5226. name: "Scale76"
  5227. type: "Scale"
  5228. bottom: "BatchNorm76"
  5229. top: "BatchNorm76"
  5230. scale_param {
  5231. filler {
  5232. value: 1.0
  5233. }
  5234. bias_term: true
  5235. bias_filler {
  5236. value: 0.0
  5237. }
  5238. }
  5239. }
  5240. layer {
  5241. name: "ReLU76"
  5242. type: "ReLU"
  5243. bottom: "BatchNorm76"
  5244. top: "BatchNorm76"
  5245. }
  5246. layer {
  5247. name: "Convolution76"
  5248. type: "Convolution"
  5249. bottom: "BatchNorm76"
  5250. top: "Convolution76"
  5251. convolution_param {
  5252. num_output: 128
  5253. bias_term: false
  5254. pad: 1
  5255. kernel_size: 3
  5256. stride: 2
  5257. weight_filler {
  5258. type: "xavier"
  5259. }
  5260. bias_filler {
  5261. type: "constant"
  5262. }
  5263. }
  5264. }
  5265. layer {
  5266. name: "Fourth"
  5267. type: "Concat"
  5268. bottom: "Convolution74"
  5269. bottom: "Convolution76"
  5270. top: "Fourth"
  5271. concat_param {
  5272. axis: 1
  5273. }
  5274. }
  5275. layer {
  5276. name: "Pooling5"
  5277. type: "Pooling"
  5278. bottom: "Fourth"
  5279. top: "Pooling5"
  5280. pooling_param {
  5281. pool: MAX
  5282. kernel_size: 2
  5283. stride: 2
  5284. }
  5285. }
  5286. layer {
  5287. name: "BatchNorm77"
  5288. type: "BatchNorm"
  5289. bottom: "Pooling5"
  5290. top: "BatchNorm77"
  5291. param {
  5292. lr_mult: 0.0
  5293. decay_mult: 0.0
  5294. }
  5295. param {
  5296. lr_mult: 0.0
  5297. decay_mult: 0.0
  5298. }
  5299. param {
  5300. lr_mult: 0.0
  5301. decay_mult: 0.0
  5302. }
  5303. }
  5304. layer {
  5305. name: "Scale77"
  5306. type: "Scale"
  5307. bottom: "BatchNorm77"
  5308. top: "BatchNorm77"
  5309. scale_param {
  5310. filler {
  5311. value: 1.0
  5312. }
  5313. bias_term: true
  5314. bias_filler {
  5315. value: 0.0
  5316. }
  5317. }
  5318. }
  5319. layer {
  5320. name: "ReLU77"
  5321. type: "ReLU"
  5322. bottom: "BatchNorm77"
  5323. top: "BatchNorm77"
  5324. }
  5325. layer {
  5326. name: "Convolution77"
  5327. type: "Convolution"
  5328. bottom: "BatchNorm77"
  5329. top: "Convolution77"
  5330. convolution_param {
  5331. num_output: 128
  5332. bias_term: false
  5333. pad: 0
  5334. kernel_size: 1
  5335. stride: 1
  5336. weight_filler {
  5337. type: "xavier"
  5338. }
  5339. bias_filler {
  5340. type: "constant"
  5341. }
  5342. }
  5343. }
  5344. layer {
  5345. name: "BatchNorm78"
  5346. type: "BatchNorm"
  5347. bottom: "Fourth"
  5348. top: "BatchNorm78"
  5349. param {
  5350. lr_mult: 0.0
  5351. decay_mult: 0.0
  5352. }
  5353. param {
  5354. lr_mult: 0.0
  5355. decay_mult: 0.0
  5356. }
  5357. param {
  5358. lr_mult: 0.0
  5359. decay_mult: 0.0
  5360. }
  5361. }
  5362. layer {
  5363. name: "Scale78"
  5364. type: "Scale"
  5365. bottom: "BatchNorm78"
  5366. top: "BatchNorm78"
  5367. scale_param {
  5368. filler {
  5369. value: 1.0
  5370. }
  5371. bias_term: true
  5372. bias_filler {
  5373. value: 0.0
  5374. }
  5375. }
  5376. }
  5377. layer {
  5378. name: "ReLU78"
  5379. type: "ReLU"
  5380. bottom: "BatchNorm78"
  5381. top: "BatchNorm78"
  5382. }
  5383. layer {
  5384. name: "Convolution78"
  5385. type: "Convolution"
  5386. bottom: "BatchNorm78"
  5387. top: "Convolution78"
  5388. convolution_param {
  5389. num_output: 128
  5390. bias_term: false
  5391. pad: 0
  5392. kernel_size: 1
  5393. stride: 1
  5394. weight_filler {
  5395. type: "xavier"
  5396. }
  5397. bias_filler {
  5398. type: "constant"
  5399. }
  5400. }
  5401. }
  5402. layer {
  5403. name: "BatchNorm79"
  5404. type: "BatchNorm"
  5405. bottom: "Convolution78"
  5406. top: "BatchNorm79"
  5407. param {
  5408. lr_mult: 0.0
  5409. decay_mult: 0.0
  5410. }
  5411. param {
  5412. lr_mult: 0.0
  5413. decay_mult: 0.0
  5414. }
  5415. param {
  5416. lr_mult: 0.0
  5417. decay_mult: 0.0
  5418. }
  5419. }
  5420. layer {
  5421. name: "Scale79"
  5422. type: "Scale"
  5423. bottom: "BatchNorm79"
  5424. top: "BatchNorm79"
  5425. scale_param {
  5426. filler {
  5427. value: 1.0
  5428. }
  5429. bias_term: true
  5430. bias_filler {
  5431. value: 0.0
  5432. }
  5433. }
  5434. }
  5435. layer {
  5436. name: "ReLU79"
  5437. type: "ReLU"
  5438. bottom: "BatchNorm79"
  5439. top: "BatchNorm79"
  5440. }
  5441. layer {
  5442. name: "Convolution79"
  5443. type: "Convolution"
  5444. bottom: "BatchNorm79"
  5445. top: "Convolution79"
  5446. convolution_param {
  5447. num_output: 128
  5448. bias_term: false
  5449. pad: 1
  5450. kernel_size: 3
  5451. stride: 2
  5452. weight_filler {
  5453. type: "xavier"
  5454. }
  5455. bias_filler {
  5456. type: "constant"
  5457. }
  5458. }
  5459. }
  5460. layer {
  5461. name: "Fifth"
  5462. type: "Concat"
  5463. bottom: "Convolution77"
  5464. bottom: "Convolution79"
  5465. top: "Fifth"
  5466. concat_param {
  5467. axis: 1
  5468. }
  5469. }
  5470. layer {
  5471. name: "Pooling6"
  5472. type: "Pooling"
  5473. bottom: "Fifth"
  5474. top: "Pooling6"
  5475. pooling_param {
  5476. pool: MAX
  5477. kernel_size: 2
  5478. stride: 2
  5479. }
  5480. }
  5481. layer {
  5482. name: "BatchNorm80"
  5483. type: "BatchNorm"
  5484. bottom: "Pooling6"
  5485. top: "BatchNorm80"
  5486. param {
  5487. lr_mult: 0.0
  5488. decay_mult: 0.0
  5489. }
  5490. param {
  5491. lr_mult: 0.0
  5492. decay_mult: 0.0
  5493. }
  5494. param {
  5495. lr_mult: 0.0
  5496. decay_mult: 0.0
  5497. }
  5498. }
  5499. layer {
  5500. name: "Scale80"
  5501. type: "Scale"
  5502. bottom: "BatchNorm80"
  5503. top: "BatchNorm80"
  5504. scale_param {
  5505. filler {
  5506. value: 1.0
  5507. }
  5508. bias_term: true
  5509. bias_filler {
  5510. value: 0.0
  5511. }
  5512. }
  5513. }
  5514. layer {
  5515. name: "ReLU80"
  5516. type: "ReLU"
  5517. bottom: "BatchNorm80"
  5518. top: "BatchNorm80"
  5519. }
  5520. layer {
  5521. name: "Convolution80"
  5522. type: "Convolution"
  5523. bottom: "BatchNorm80"
  5524. top: "Convolution80"
  5525. convolution_param {
  5526. num_output: 128
  5527. bias_term: false
  5528. pad: 0
  5529. kernel_size: 1
  5530. stride: 1
  5531. weight_filler {
  5532. type: "xavier"
  5533. }
  5534. bias_filler {
  5535. type: "constant"
  5536. }
  5537. }
  5538. }
  5539. layer {
  5540. name: "BatchNorm81"
  5541. type: "BatchNorm"
  5542. bottom: "Fifth"
  5543. top: "BatchNorm81"
  5544. param {
  5545. lr_mult: 0.0
  5546. decay_mult: 0.0
  5547. }
  5548. param {
  5549. lr_mult: 0.0
  5550. decay_mult: 0.0
  5551. }
  5552. param {
  5553. lr_mult: 0.0
  5554. decay_mult: 0.0
  5555. }
  5556. }
  5557. layer {
  5558. name: "Scale81"
  5559. type: "Scale"
  5560. bottom: "BatchNorm81"
  5561. top: "BatchNorm81"
  5562. scale_param {
  5563. filler {
  5564. value: 1.0
  5565. }
  5566. bias_term: true
  5567. bias_filler {
  5568. value: 0.0
  5569. }
  5570. }
  5571. }
  5572. layer {
  5573. name: "ReLU81"
  5574. type: "ReLU"
  5575. bottom: "BatchNorm81"
  5576. top: "BatchNorm81"
  5577. }
  5578. layer {
  5579. name: "Convolution81"
  5580. type: "Convolution"
  5581. bottom: "BatchNorm81"
  5582. top: "Convolution81"
  5583. convolution_param {
  5584. num_output: 128
  5585. bias_term: false
  5586. pad: 0
  5587. kernel_size: 1
  5588. stride: 1
  5589. weight_filler {
  5590. type: "xavier"
  5591. }
  5592. bias_filler {
  5593. type: "constant"
  5594. }
  5595. }
  5596. }
  5597. layer {
  5598. name: "BatchNorm82"
  5599. type: "BatchNorm"
  5600. bottom: "Convolution81"
  5601. top: "BatchNorm82"
  5602. param {
  5603. lr_mult: 0.0
  5604. decay_mult: 0.0
  5605. }
  5606. param {
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  5608. decay_mult: 0.0
  5609. }
  5610. param {
  5611. lr_mult: 0.0
  5612. decay_mult: 0.0
  5613. }
  5614. }
  5615. layer {
  5616. name: "Scale82"
  5617. type: "Scale"
  5618. bottom: "BatchNorm82"
  5619. top: "BatchNorm82"
  5620. scale_param {
  5621. filler {
  5622. value: 1.0
  5623. }
  5624. bias_term: true
  5625. bias_filler {
  5626. value: 0.0
  5627. }
  5628. }
  5629. }
  5630. layer {
  5631. name: "ReLU82"
  5632. type: "ReLU"
  5633. bottom: "BatchNorm82"
  5634. top: "BatchNorm82"
  5635. }
  5636. layer {
  5637. name: "Convolution82"
  5638. type: "Convolution"
  5639. bottom: "BatchNorm82"
  5640. top: "Convolution82"
  5641. convolution_param {
  5642. num_output: 128
  5643. bias_term: false
  5644. pad: 1
  5645. kernel_size: 3
  5646. stride: 2
  5647. weight_filler {
  5648. type: "xavier"
  5649. }
  5650. bias_filler {
  5651. type: "constant"
  5652. }
  5653. }
  5654. }
  5655. layer {
  5656. name: "Sixth"
  5657. type: "Concat"
  5658. bottom: "Convolution80"
  5659. bottom: "Convolution82"
  5660. top: "Sixth"
  5661. concat_param {
  5662. axis: 1
  5663. }
  5664. }
  5665. layer {
  5666. name: "First_norm"
  5667. type: "Normalize"
  5668. bottom: "First"
  5669. top: "First_norm"
  5670. norm_param {
  5671. across_spatial: false
  5672. scale_filler {
  5673. type: "constant"
  5674. value: 20.0
  5675. }
  5676. channel_shared: false
  5677. }
  5678. }
  5679. layer {
  5680. name: "First_norm_mbox_loc"
  5681. type: "Convolution"
  5682. bottom: "First_norm"
  5683. top: "First_norm_mbox_loc"
  5684. param {
  5685. lr_mult: 1.0
  5686. decay_mult: 1.0
  5687. }
  5688. convolution_param {
  5689. num_output: 16
  5690. bias_term: false
  5691. pad: 1
  5692. kernel_size: 3
  5693. stride: 1
  5694. weight_filler {
  5695. type: "gaussian"
  5696. std: 0.00999999977648
  5697. }
  5698. }
  5699. }
  5700. layer {
  5701. name: "First_norm_mbox_loc_bn"
  5702. type: "BatchNorm"
  5703. bottom: "First_norm_mbox_loc"
  5704. top: "First_norm_mbox_loc"
  5705. param {
  5706. lr_mult: 0.0
  5707. decay_mult: 0.0
  5708. }
  5709. param {
  5710. lr_mult: 0.0
  5711. decay_mult: 0.0
  5712. }
  5713. param {
  5714. lr_mult: 0.0
  5715. decay_mult: 0.0
  5716. }
  5717. batch_norm_param {
  5718. moving_average_fraction: 0.999000012875
  5719. eps: 0.0010000000475
  5720. }
  5721. }
  5722. layer {
  5723. name: "First_norm_mbox_loc_scale"
  5724. type: "Scale"
  5725. bottom: "First_norm_mbox_loc"
  5726. top: "First_norm_mbox_loc"
  5727. param {
  5728. lr_mult: 1.0
  5729. decay_mult: 0.0
  5730. }
  5731. param {
  5732. lr_mult: 1.0
  5733. decay_mult: 0.0
  5734. }
  5735. scale_param {
  5736. filler {
  5737. type: "constant"
  5738. value: 1.0
  5739. }
  5740. bias_term: true
  5741. bias_filler {
  5742. type: "constant"
  5743. value: 0.0
  5744. }
  5745. }
  5746. }
  5747. layer {
  5748. name: "First_norm_mbox_loc_perm"
  5749. type: "Permute"
  5750. bottom: "First_norm_mbox_loc"
  5751. top: "First_norm_mbox_loc_perm"
  5752. permute_param {
  5753. order: 0
  5754. order: 2
  5755. order: 3
  5756. order: 1
  5757. }
  5758. }
  5759. layer {
  5760. name: "First_norm_mbox_loc_flat"
  5761. type: "Flatten"
  5762. bottom: "First_norm_mbox_loc_perm"
  5763. top: "First_norm_mbox_loc_flat"
  5764. flatten_param {
  5765. axis: 1
  5766. }
  5767. }
  5768. layer {
  5769. name: "First_norm_mbox_conf"
  5770. type: "Convolution"
  5771. bottom: "First_norm"
  5772. top: "First_norm_mbox_conf"
  5773. param {
  5774. lr_mult: 1.0
  5775. decay_mult: 1.0
  5776. }
  5777. convolution_param {
  5778. num_output: 84
  5779. bias_term: false
  5780. pad: 1
  5781. kernel_size: 3
  5782. stride: 1
  5783. weight_filler {
  5784. type: "gaussian"
  5785. std: 0.00999999977648
  5786. }
  5787. }
  5788. }
  5789. layer {
  5790. name: "First_norm_mbox_conf_bn"
  5791. type: "BatchNorm"
  5792. bottom: "First_norm_mbox_conf"
  5793. top: "First_norm_mbox_conf"
  5794. param {
  5795. lr_mult: 0.0
  5796. decay_mult: 0.0
  5797. }
  5798. param {
  5799. lr_mult: 0.0
  5800. decay_mult: 0.0
  5801. }
  5802. param {
  5803. lr_mult: 0.0
  5804. decay_mult: 0.0
  5805. }
  5806. batch_norm_param {
  5807. moving_average_fraction: 0.999000012875
  5808. eps: 0.0010000000475
  5809. }
  5810. }
  5811. layer {
  5812. name: "First_norm_mbox_conf_scale"
  5813. type: "Scale"
  5814. bottom: "First_norm_mbox_conf"
  5815. top: "First_norm_mbox_conf"
  5816. param {
  5817. lr_mult: 1.0
  5818. decay_mult: 0.0
  5819. }
  5820. param {
  5821. lr_mult: 1.0
  5822. decay_mult: 0.0
  5823. }
  5824. scale_param {
  5825. filler {
  5826. type: "constant"
  5827. value: 1.0
  5828. }
  5829. bias_term: true
  5830. bias_filler {
  5831. type: "constant"
  5832. value: 0.0
  5833. }
  5834. }
  5835. }
  5836. layer {
  5837. name: "First_norm_mbox_conf_perm"
  5838. type: "Permute"
  5839. bottom: "First_norm_mbox_conf"
  5840. top: "First_norm_mbox_conf_perm"
  5841. permute_param {
  5842. order: 0
  5843. order: 2
  5844. order: 3
  5845. order: 1
  5846. }
  5847. }
  5848. layer {
  5849. name: "First_norm_mbox_conf_flat"
  5850. type: "Flatten"
  5851. bottom: "First_norm_mbox_conf_perm"
  5852. top: "First_norm_mbox_conf_flat"
  5853. flatten_param {
  5854. axis: 1
  5855. }
  5856. }
  5857. layer {
  5858. name: "First_norm_mbox_priorbox"
  5859. type: "PriorBox"
  5860. bottom: "First_norm"
  5861. bottom: "data"
  5862. top: "First_norm_mbox_priorbox"
  5863. prior_box_param {
  5864. min_size: 30.0
  5865. max_size: 60.0
  5866. aspect_ratio: 2.0
  5867. flip: true
  5868. clip: false
  5869. variance: 0.10000000149
  5870. variance: 0.10000000149
  5871. variance: 0.20000000298
  5872. variance: 0.20000000298
  5873. step: 8.0
  5874. offset: 0.5
  5875. }
  5876. }
  5877. layer {
  5878. name: "Second_norm"
  5879. type: "Normalize"
  5880. bottom: "Second"
  5881. top: "Second_norm"
  5882. norm_param {
  5883. across_spatial: false
  5884. scale_filler {
  5885. type: "constant"
  5886. value: 20.0
  5887. }
  5888. channel_shared: false
  5889. }
  5890. }
  5891. layer {
  5892. name: "Second_norm_mbox_loc"
  5893. type: "Convolution"
  5894. bottom: "Second_norm"
  5895. top: "Second_norm_mbox_loc"
  5896. param {
  5897. lr_mult: 1.0
  5898. decay_mult: 1.0
  5899. }
  5900. convolution_param {
  5901. num_output: 24
  5902. bias_term: false
  5903. pad: 1
  5904. kernel_size: 3
  5905. stride: 1
  5906. weight_filler {
  5907. type: "gaussian"
  5908. std: 0.00999999977648
  5909. }
  5910. }
  5911. }
  5912. layer {
  5913. name: "Second_norm_mbox_loc_bn"
  5914. type: "BatchNorm"
  5915. bottom: "Second_norm_mbox_loc"
  5916. top: "Second_norm_mbox_loc"
  5917. param {
  5918. lr_mult: 0.0
  5919. decay_mult: 0.0
  5920. }
  5921. param {
  5922. lr_mult: 0.0
  5923. decay_mult: 0.0
  5924. }
  5925. param {
  5926. lr_mult: 0.0
  5927. decay_mult: 0.0
  5928. }
  5929. batch_norm_param {
  5930. moving_average_fraction: 0.999000012875
  5931. eps: 0.0010000000475
  5932. }
  5933. }
  5934. layer {
  5935. name: "Second_norm_mbox_loc_scale"
  5936. type: "Scale"
  5937. bottom: "Second_norm_mbox_loc"
  5938. top: "Second_norm_mbox_loc"
  5939. param {
  5940. lr_mult: 1.0
  5941. decay_mult: 0.0
  5942. }
  5943. param {
  5944. lr_mult: 1.0
  5945. decay_mult: 0.0
  5946. }
  5947. scale_param {
  5948. filler {
  5949. type: "constant"
  5950. value: 1.0
  5951. }
  5952. bias_term: true
  5953. bias_filler {
  5954. type: "constant"
  5955. value: 0.0
  5956. }
  5957. }
  5958. }
  5959. layer {
  5960. name: "Second_norm_mbox_loc_perm"
  5961. type: "Permute"
  5962. bottom: "Second_norm_mbox_loc"
  5963. top: "Second_norm_mbox_loc_perm"
  5964. permute_param {
  5965. order: 0
  5966. order: 2
  5967. order: 3
  5968. order: 1
  5969. }
  5970. }
  5971. layer {
  5972. name: "Second_norm_mbox_loc_flat"
  5973. type: "Flatten"
  5974. bottom: "Second_norm_mbox_loc_perm"
  5975. top: "Second_norm_mbox_loc_flat"
  5976. flatten_param {
  5977. axis: 1
  5978. }
  5979. }
  5980. layer {
  5981. name: "Second_norm_mbox_conf"
  5982. type: "Convolution"
  5983. bottom: "Second_norm"
  5984. top: "Second_norm_mbox_conf"
  5985. param {
  5986. lr_mult: 1.0
  5987. decay_mult: 1.0
  5988. }
  5989. convolution_param {
  5990. num_output: 126
  5991. bias_term: false
  5992. pad: 1
  5993. kernel_size: 3
  5994. stride: 1
  5995. weight_filler {
  5996. type: "gaussian"
  5997. std: 0.00999999977648
  5998. }
  5999. }
  6000. }
  6001. layer {
  6002. name: "Second_norm_mbox_conf_bn"
  6003. type: "BatchNorm"
  6004. bottom: "Second_norm_mbox_conf"
  6005. top: "Second_norm_mbox_conf"
  6006. param {
  6007. lr_mult: 0.0
  6008. decay_mult: 0.0
  6009. }
  6010. param {
  6011. lr_mult: 0.0
  6012. decay_mult: 0.0
  6013. }
  6014. param {
  6015. lr_mult: 0.0
  6016. decay_mult: 0.0
  6017. }
  6018. batch_norm_param {
  6019. moving_average_fraction: 0.999000012875
  6020. eps: 0.0010000000475
  6021. }
  6022. }
  6023. layer {
  6024. name: "Second_norm_mbox_conf_scale"
  6025. type: "Scale"
  6026. bottom: "Second_norm_mbox_conf"
  6027. top: "Second_norm_mbox_conf"
  6028. param {
  6029. lr_mult: 1.0
  6030. decay_mult: 0.0
  6031. }
  6032. param {
  6033. lr_mult: 1.0
  6034. decay_mult: 0.0
  6035. }
  6036. scale_param {
  6037. filler {
  6038. type: "constant"
  6039. value: 1.0
  6040. }
  6041. bias_term: true
  6042. bias_filler {
  6043. type: "constant"
  6044. value: 0.0
  6045. }
  6046. }
  6047. }
  6048. layer {
  6049. name: "Second_norm_mbox_conf_perm"
  6050. type: "Permute"
  6051. bottom: "Second_norm_mbox_conf"
  6052. top: "Second_norm_mbox_conf_perm"
  6053. permute_param {
  6054. order: 0
  6055. order: 2
  6056. order: 3
  6057. order: 1
  6058. }
  6059. }
  6060. layer {
  6061. name: "Second_norm_mbox_conf_flat"
  6062. type: "Flatten"
  6063. bottom: "Second_norm_mbox_conf_perm"
  6064. top: "Second_norm_mbox_conf_flat"
  6065. flatten_param {
  6066. axis: 1
  6067. }
  6068. }
  6069. layer {
  6070. name: "Second_norm_mbox_priorbox"
  6071. type: "PriorBox"
  6072. bottom: "Second_norm"
  6073. bottom: "data"
  6074. top: "Second_norm_mbox_priorbox"
  6075. prior_box_param {
  6076. min_size: 60.0
  6077. max_size: 111.0
  6078. aspect_ratio: 2.0
  6079. aspect_ratio: 3.0
  6080. flip: true
  6081. clip: false
  6082. variance: 0.10000000149
  6083. variance: 0.10000000149
  6084. variance: 0.20000000298
  6085. variance: 0.20000000298
  6086. step: 16.0
  6087. offset: 0.5
  6088. }
  6089. }
  6090. layer {
  6091. name: "Third_norm"
  6092. type: "Normalize"
  6093. bottom: "Third"
  6094. top: "Third_norm"
  6095. norm_param {
  6096. across_spatial: false
  6097. scale_filler {
  6098. type: "constant"
  6099. value: 20.0
  6100. }
  6101. channel_shared: false
  6102. }
  6103. }
  6104. layer {
  6105. name: "Third_norm_mbox_loc"
  6106. type: "Convolution"
  6107. bottom: "Third_norm"
  6108. top: "Third_norm_mbox_loc"
  6109. param {
  6110. lr_mult: 1.0
  6111. decay_mult: 1.0
  6112. }
  6113. convolution_param {
  6114. num_output: 24
  6115. bias_term: false
  6116. pad: 1
  6117. kernel_size: 3
  6118. stride: 1
  6119. weight_filler {
  6120. type: "gaussian"
  6121. std: 0.00999999977648
  6122. }
  6123. }
  6124. }
  6125. layer {
  6126. name: "Third_norm_mbox_loc_bn"
  6127. type: "BatchNorm"
  6128. bottom: "Third_norm_mbox_loc"
  6129. top: "Third_norm_mbox_loc"
  6130. param {
  6131. lr_mult: 0.0
  6132. decay_mult: 0.0
  6133. }
  6134. param {
  6135. lr_mult: 0.0
  6136. decay_mult: 0.0
  6137. }
  6138. param {
  6139. lr_mult: 0.0
  6140. decay_mult: 0.0
  6141. }
  6142. batch_norm_param {
  6143. moving_average_fraction: 0.999000012875
  6144. eps: 0.0010000000475
  6145. }
  6146. }
  6147. layer {
  6148. name: "Third_norm_mbox_loc_scale"
  6149. type: "Scale"
  6150. bottom: "Third_norm_mbox_loc"
  6151. top: "Third_norm_mbox_loc"
  6152. param {
  6153. lr_mult: 1.0
  6154. decay_mult: 0.0
  6155. }
  6156. param {
  6157. lr_mult: 1.0
  6158. decay_mult: 0.0
  6159. }
  6160. scale_param {
  6161. filler {
  6162. type: "constant"
  6163. value: 1.0
  6164. }
  6165. bias_term: true
  6166. bias_filler {
  6167. type: "constant"
  6168. value: 0.0
  6169. }
  6170. }
  6171. }
  6172. layer {
  6173. name: "Third_norm_mbox_loc_perm"
  6174. type: "Permute"
  6175. bottom: "Third_norm_mbox_loc"
  6176. top: "Third_norm_mbox_loc_perm"
  6177. permute_param {
  6178. order: 0
  6179. order: 2
  6180. order: 3
  6181. order: 1
  6182. }
  6183. }
  6184. layer {
  6185. name: "Third_norm_mbox_loc_flat"
  6186. type: "Flatten"
  6187. bottom: "Third_norm_mbox_loc_perm"
  6188. top: "Third_norm_mbox_loc_flat"
  6189. flatten_param {
  6190. axis: 1
  6191. }
  6192. }
  6193. layer {
  6194. name: "Third_norm_mbox_conf"
  6195. type: "Convolution"
  6196. bottom: "Third_norm"
  6197. top: "Third_norm_mbox_conf"
  6198. param {
  6199. lr_mult: 1.0
  6200. decay_mult: 1.0
  6201. }
  6202. convolution_param {
  6203. num_output: 126
  6204. bias_term: false
  6205. pad: 1
  6206. kernel_size: 3
  6207. stride: 1
  6208. weight_filler {
  6209. type: "gaussian"
  6210. std: 0.00999999977648
  6211. }
  6212. }
  6213. }
  6214. layer {
  6215. name: "Third_norm_mbox_conf_bn"
  6216. type: "BatchNorm"
  6217. bottom: "Third_norm_mbox_conf"
  6218. top: "Third_norm_mbox_conf"
  6219. param {
  6220. lr_mult: 0.0
  6221. decay_mult: 0.0
  6222. }
  6223. param {
  6224. lr_mult: 0.0
  6225. decay_mult: 0.0
  6226. }
  6227. param {
  6228. lr_mult: 0.0
  6229. decay_mult: 0.0
  6230. }
  6231. batch_norm_param {
  6232. moving_average_fraction: 0.999000012875
  6233. eps: 0.0010000000475
  6234. }
  6235. }
  6236. layer {
  6237. name: "Third_norm_mbox_conf_scale"
  6238. type: "Scale"
  6239. bottom: "Third_norm_mbox_conf"
  6240. top: "Third_norm_mbox_conf"
  6241. param {
  6242. lr_mult: 1.0
  6243. decay_mult: 0.0
  6244. }
  6245. param {
  6246. lr_mult: 1.0
  6247. decay_mult: 0.0
  6248. }
  6249. scale_param {
  6250. filler {
  6251. type: "constant"
  6252. value: 1.0
  6253. }
  6254. bias_term: true
  6255. bias_filler {
  6256. type: "constant"
  6257. value: 0.0
  6258. }
  6259. }
  6260. }
  6261. layer {
  6262. name: "Third_norm_mbox_conf_perm"
  6263. type: "Permute"
  6264. bottom: "Third_norm_mbox_conf"
  6265. top: "Third_norm_mbox_conf_perm"
  6266. permute_param {
  6267. order: 0
  6268. order: 2
  6269. order: 3
  6270. order: 1
  6271. }
  6272. }
  6273. layer {
  6274. name: "Third_norm_mbox_conf_flat"
  6275. type: "Flatten"
  6276. bottom: "Third_norm_mbox_conf_perm"
  6277. top: "Third_norm_mbox_conf_flat"
  6278. flatten_param {
  6279. axis: 1
  6280. }
  6281. }
  6282. layer {
  6283. name: "Third_norm_mbox_priorbox"
  6284. type: "PriorBox"
  6285. bottom: "Third_norm"
  6286. bottom: "data"
  6287. top: "Third_norm_mbox_priorbox"
  6288. prior_box_param {
  6289. min_size: 111.0
  6290. max_size: 162.0
  6291. aspect_ratio: 2.0
  6292. aspect_ratio: 3.0
  6293. flip: true
  6294. clip: false
  6295. variance: 0.10000000149
  6296. variance: 0.10000000149
  6297. variance: 0.20000000298
  6298. variance: 0.20000000298
  6299. step: 32.0
  6300. offset: 0.5
  6301. }
  6302. }
  6303. layer {
  6304. name: "Fourth_norm"
  6305. type: "Normalize"
  6306. bottom: "Fourth"
  6307. top: "Fourth_norm"
  6308. norm_param {
  6309. across_spatial: false
  6310. scale_filler {
  6311. type: "constant"
  6312. value: 20.0
  6313. }
  6314. channel_shared: false
  6315. }
  6316. }
  6317. layer {
  6318. name: "Fourth_norm_mbox_loc"
  6319. type: "Convolution"
  6320. bottom: "Fourth_norm"
  6321. top: "Fourth_norm_mbox_loc"
  6322. param {
  6323. lr_mult: 1.0
  6324. decay_mult: 1.0
  6325. }
  6326. convolution_param {
  6327. num_output: 24
  6328. bias_term: false
  6329. pad: 1
  6330. kernel_size: 3
  6331. stride: 1
  6332. weight_filler {
  6333. type: "gaussian"
  6334. std: 0.00999999977648
  6335. }
  6336. }
  6337. }
  6338. layer {
  6339. name: "Fourth_norm_mbox_loc_bn"
  6340. type: "BatchNorm"
  6341. bottom: "Fourth_norm_mbox_loc"
  6342. top: "Fourth_norm_mbox_loc"
  6343. param {
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  6347. param {
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  6357. eps: 0.0010000000475
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  6359. }
  6360. layer {
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  6362. type: "Scale"
  6363. bottom: "Fourth_norm_mbox_loc"
  6364. top: "Fourth_norm_mbox_loc"
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  6367. decay_mult: 0.0
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  6381. value: 0.0
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  6383. }
  6384. }
  6385. layer {
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  6387. type: "Permute"
  6388. bottom: "Fourth_norm_mbox_loc"
  6389. top: "Fourth_norm_mbox_loc_perm"
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  6392. order: 2
  6393. order: 3
  6394. order: 1
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  6397. layer {
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  6399. type: "Flatten"
  6400. bottom: "Fourth_norm_mbox_loc_perm"
  6401. top: "Fourth_norm_mbox_loc_flat"
  6402. flatten_param {
  6403. axis: 1
  6404. }
  6405. }
  6406. layer {
  6407. name: "Fourth_norm_mbox_conf"
  6408. type: "Convolution"
  6409. bottom: "Fourth_norm"
  6410. top: "Fourth_norm_mbox_conf"
  6411. param {
  6412. lr_mult: 1.0
  6413. decay_mult: 1.0
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  6415. convolution_param {
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  6417. bias_term: false
  6418. pad: 1
  6419. kernel_size: 3
  6420. stride: 1
  6421. weight_filler {
  6422. type: "gaussian"
  6423. std: 0.00999999977648
  6424. }
  6425. }
  6426. }
  6427. layer {
  6428. name: "Fourth_norm_mbox_conf_bn"
  6429. type: "BatchNorm"
  6430. bottom: "Fourth_norm_mbox_conf"
  6431. top: "Fourth_norm_mbox_conf"
  6432. param {
  6433. lr_mult: 0.0
  6434. decay_mult: 0.0
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  6436. param {
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  6438. decay_mult: 0.0
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  6440. param {
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  6442. decay_mult: 0.0
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  6444. batch_norm_param {
  6445. moving_average_fraction: 0.999000012875
  6446. eps: 0.0010000000475
  6447. }
  6448. }
  6449. layer {
  6450. name: "Fourth_norm_mbox_conf_scale"
  6451. type: "Scale"
  6452. bottom: "Fourth_norm_mbox_conf"
  6453. top: "Fourth_norm_mbox_conf"
  6454. param {
  6455. lr_mult: 1.0
  6456. decay_mult: 0.0
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  6458. param {
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  6460. decay_mult: 0.0
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  6462. scale_param {
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  6465. value: 1.0
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  6467. bias_term: true
  6468. bias_filler {
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  6470. value: 0.0
  6471. }
  6472. }
  6473. }
  6474. layer {
  6475. name: "Fourth_norm_mbox_conf_perm"
  6476. type: "Permute"
  6477. bottom: "Fourth_norm_mbox_conf"
  6478. top: "Fourth_norm_mbox_conf_perm"
  6479. permute_param {
  6480. order: 0
  6481. order: 2
  6482. order: 3
  6483. order: 1
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  6486. layer {
  6487. name: "Fourth_norm_mbox_conf_flat"
  6488. type: "Flatten"
  6489. bottom: "Fourth_norm_mbox_conf_perm"
  6490. top: "Fourth_norm_mbox_conf_flat"
  6491. flatten_param {
  6492. axis: 1
  6493. }
  6494. }
  6495. layer {
  6496. name: "Fourth_norm_mbox_priorbox"
  6497. type: "PriorBox"
  6498. bottom: "Fourth_norm"
  6499. bottom: "data"
  6500. top: "Fourth_norm_mbox_priorbox"
  6501. prior_box_param {
  6502. min_size: 162.0
  6503. max_size: 213.0
  6504. aspect_ratio: 2.0
  6505. aspect_ratio: 3.0
  6506. flip: true
  6507. clip: false
  6508. variance: 0.10000000149
  6509. variance: 0.10000000149
  6510. variance: 0.20000000298
  6511. variance: 0.20000000298
  6512. step: 64.0
  6513. offset: 0.5
  6514. }
  6515. }
  6516. layer {
  6517. name: "Fifth_norm"
  6518. type: "Normalize"
  6519. bottom: "Fifth"
  6520. top: "Fifth_norm"
  6521. norm_param {
  6522. across_spatial: false
  6523. scale_filler {
  6524. type: "constant"
  6525. value: 20.0
  6526. }
  6527. channel_shared: false
  6528. }
  6529. }
  6530. layer {
  6531. name: "Fifth_norm_mbox_loc"
  6532. type: "Convolution"
  6533. bottom: "Fifth_norm"
  6534. top: "Fifth_norm_mbox_loc"
  6535. param {
  6536. lr_mult: 1.0
  6537. decay_mult: 1.0
  6538. }
  6539. convolution_param {
  6540. num_output: 16
  6541. bias_term: false
  6542. pad: 1
  6543. kernel_size: 3
  6544. stride: 1
  6545. weight_filler {
  6546. type: "gaussian"
  6547. std: 0.00999999977648
  6548. }
  6549. }
  6550. }
  6551. layer {
  6552. name: "Fifth_norm_mbox_loc_bn"
  6553. type: "BatchNorm"
  6554. bottom: "Fifth_norm_mbox_loc"
  6555. top: "Fifth_norm_mbox_loc"
  6556. param {
  6557. lr_mult: 0.0
  6558. decay_mult: 0.0
  6559. }
  6560. param {
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  6562. decay_mult: 0.0
  6563. }
  6564. param {
  6565. lr_mult: 0.0
  6566. decay_mult: 0.0
  6567. }
  6568. batch_norm_param {
  6569. moving_average_fraction: 0.999000012875
  6570. eps: 0.0010000000475
  6571. }
  6572. }
  6573. layer {
  6574. name: "Fifth_norm_mbox_loc_scale"
  6575. type: "Scale"
  6576. bottom: "Fifth_norm_mbox_loc"
  6577. top: "Fifth_norm_mbox_loc"
  6578. param {
  6579. lr_mult: 1.0
  6580. decay_mult: 0.0
  6581. }
  6582. param {
  6583. lr_mult: 1.0
  6584. decay_mult: 0.0
  6585. }
  6586. scale_param {
  6587. filler {
  6588. type: "constant"
  6589. value: 1.0
  6590. }
  6591. bias_term: true
  6592. bias_filler {
  6593. type: "constant"
  6594. value: 0.0
  6595. }
  6596. }
  6597. }
  6598. layer {
  6599. name: "Fifth_norm_mbox_loc_perm"
  6600. type: "Permute"
  6601. bottom: "Fifth_norm_mbox_loc"
  6602. top: "Fifth_norm_mbox_loc_perm"
  6603. permute_param {
  6604. order: 0
  6605. order: 2
  6606. order: 3
  6607. order: 1
  6608. }
  6609. }
  6610. layer {
  6611. name: "Fifth_norm_mbox_loc_flat"
  6612. type: "Flatten"
  6613. bottom: "Fifth_norm_mbox_loc_perm"
  6614. top: "Fifth_norm_mbox_loc_flat"
  6615. flatten_param {
  6616. axis: 1
  6617. }
  6618. }
  6619. layer {
  6620. name: "Fifth_norm_mbox_conf"
  6621. type: "Convolution"
  6622. bottom: "Fifth_norm"
  6623. top: "Fifth_norm_mbox_conf"
  6624. param {
  6625. lr_mult: 1.0
  6626. decay_mult: 1.0
  6627. }
  6628. convolution_param {
  6629. num_output: 84
  6630. bias_term: false
  6631. pad: 1
  6632. kernel_size: 3
  6633. stride: 1
  6634. weight_filler {
  6635. type: "gaussian"
  6636. std: 0.00999999977648
  6637. }
  6638. }
  6639. }
  6640. layer {
  6641. name: "Fifth_norm_mbox_conf_bn"
  6642. type: "BatchNorm"
  6643. bottom: "Fifth_norm_mbox_conf"
  6644. top: "Fifth_norm_mbox_conf"
  6645. param {
  6646. lr_mult: 0.0
  6647. decay_mult: 0.0
  6648. }
  6649. param {
  6650. lr_mult: 0.0
  6651. decay_mult: 0.0
  6652. }
  6653. param {
  6654. lr_mult: 0.0
  6655. decay_mult: 0.0
  6656. }
  6657. batch_norm_param {
  6658. moving_average_fraction: 0.999000012875
  6659. eps: 0.0010000000475
  6660. }
  6661. }
  6662. layer {
  6663. name: "Fifth_norm_mbox_conf_scale"
  6664. type: "Scale"
  6665. bottom: "Fifth_norm_mbox_conf"
  6666. top: "Fifth_norm_mbox_conf"
  6667. param {
  6668. lr_mult: 1.0
  6669. decay_mult: 0.0
  6670. }
  6671. param {
  6672. lr_mult: 1.0
  6673. decay_mult: 0.0
  6674. }
  6675. scale_param {
  6676. filler {
  6677. type: "constant"
  6678. value: 1.0
  6679. }
  6680. bias_term: true
  6681. bias_filler {
  6682. type: "constant"
  6683. value: 0.0
  6684. }
  6685. }
  6686. }
  6687. layer {
  6688. name: "Fifth_norm_mbox_conf_perm"
  6689. type: "Permute"
  6690. bottom: "Fifth_norm_mbox_conf"
  6691. top: "Fifth_norm_mbox_conf_perm"
  6692. permute_param {
  6693. order: 0
  6694. order: 2
  6695. order: 3
  6696. order: 1
  6697. }
  6698. }
  6699. layer {
  6700. name: "Fifth_norm_mbox_conf_flat"
  6701. type: "Flatten"
  6702. bottom: "Fifth_norm_mbox_conf_perm"
  6703. top: "Fifth_norm_mbox_conf_flat"
  6704. flatten_param {
  6705. axis: 1
  6706. }
  6707. }
  6708. layer {
  6709. name: "Fifth_norm_mbox_priorbox"
  6710. type: "PriorBox"
  6711. bottom: "Fifth_norm"
  6712. bottom: "data"
  6713. top: "Fifth_norm_mbox_priorbox"
  6714. prior_box_param {
  6715. min_size: 213.0
  6716. max_size: 264.0
  6717. aspect_ratio: 2.0
  6718. flip: true
  6719. clip: false
  6720. variance: 0.10000000149
  6721. variance: 0.10000000149
  6722. variance: 0.20000000298
  6723. variance: 0.20000000298
  6724. step: 100.0
  6725. offset: 0.5
  6726. }
  6727. }
  6728. layer {
  6729. name: "Sixth_norm"
  6730. type: "Normalize"
  6731. bottom: "Sixth"
  6732. top: "Sixth_norm"
  6733. norm_param {
  6734. across_spatial: false
  6735. scale_filler {
  6736. type: "constant"
  6737. value: 20.0
  6738. }
  6739. channel_shared: false
  6740. }
  6741. }
  6742. layer {
  6743. name: "Sixth_norm_mbox_loc"
  6744. type: "Convolution"
  6745. bottom: "Sixth_norm"
  6746. top: "Sixth_norm_mbox_loc"
  6747. param {
  6748. lr_mult: 1.0
  6749. decay_mult: 1.0
  6750. }
  6751. convolution_param {
  6752. num_output: 16
  6753. bias_term: false
  6754. pad: 1
  6755. kernel_size: 3
  6756. stride: 1
  6757. weight_filler {
  6758. type: "gaussian"
  6759. std: 0.00999999977648
  6760. }
  6761. }
  6762. }
  6763. layer {
  6764. name: "Sixth_norm_mbox_loc_bn"
  6765. type: "BatchNorm"
  6766. bottom: "Sixth_norm_mbox_loc"
  6767. top: "Sixth_norm_mbox_loc"
  6768. param {
  6769. lr_mult: 0.0
  6770. decay_mult: 0.0
  6771. }
  6772. param {
  6773. lr_mult: 0.0
  6774. decay_mult: 0.0
  6775. }
  6776. param {
  6777. lr_mult: 0.0
  6778. decay_mult: 0.0
  6779. }
  6780. batch_norm_param {
  6781. moving_average_fraction: 0.999000012875
  6782. eps: 0.0010000000475
  6783. }
  6784. }
  6785. layer {
  6786. name: "Sixth_norm_mbox_loc_scale"
  6787. type: "Scale"
  6788. bottom: "Sixth_norm_mbox_loc"
  6789. top: "Sixth_norm_mbox_loc"
  6790. param {
  6791. lr_mult: 1.0
  6792. decay_mult: 0.0
  6793. }
  6794. param {
  6795. lr_mult: 1.0
  6796. decay_mult: 0.0
  6797. }
  6798. scale_param {
  6799. filler {
  6800. type: "constant"
  6801. value: 1.0
  6802. }
  6803. bias_term: true
  6804. bias_filler {
  6805. type: "constant"
  6806. value: 0.0
  6807. }
  6808. }
  6809. }
  6810. layer {
  6811. name: "Sixth_norm_mbox_loc_perm"
  6812. type: "Permute"
  6813. bottom: "Sixth_norm_mbox_loc"
  6814. top: "Sixth_norm_mbox_loc_perm"
  6815. permute_param {
  6816. order: 0
  6817. order: 2
  6818. order: 3
  6819. order: 1
  6820. }
  6821. }
  6822. layer {
  6823. name: "Sixth_norm_mbox_loc_flat"
  6824. type: "Flatten"
  6825. bottom: "Sixth_norm_mbox_loc_perm"
  6826. top: "Sixth_norm_mbox_loc_flat"
  6827. flatten_param {
  6828. axis: 1
  6829. }
  6830. }
  6831. layer {
  6832. name: "Sixth_norm_mbox_conf"
  6833. type: "Convolution"
  6834. bottom: "Sixth_norm"
  6835. top: "Sixth_norm_mbox_conf"
  6836. param {
  6837. lr_mult: 1.0
  6838. decay_mult: 1.0
  6839. }
  6840. convolution_param {
  6841. num_output: 84
  6842. bias_term: false
  6843. pad: 1
  6844. kernel_size: 3
  6845. stride: 1
  6846. weight_filler {
  6847. type: "gaussian"
  6848. std: 0.00999999977648
  6849. }
  6850. }
  6851. }
  6852. layer {
  6853. name: "Sixth_norm_mbox_conf_bn"
  6854. type: "BatchNorm"
  6855. bottom: "Sixth_norm_mbox_conf"
  6856. top: "Sixth_norm_mbox_conf"
  6857. param {
  6858. lr_mult: 0.0
  6859. decay_mult: 0.0
  6860. }
  6861. param {
  6862. lr_mult: 0.0
  6863. decay_mult: 0.0
  6864. }
  6865. param {
  6866. lr_mult: 0.0
  6867. decay_mult: 0.0
  6868. }
  6869. batch_norm_param {
  6870. moving_average_fraction: 0.999000012875
  6871. eps: 0.0010000000475
  6872. }
  6873. }
  6874. layer {
  6875. name: "Sixth_norm_mbox_conf_scale"
  6876. type: "Scale"
  6877. bottom: "Sixth_norm_mbox_conf"
  6878. top: "Sixth_norm_mbox_conf"
  6879. param {
  6880. lr_mult: 1.0
  6881. decay_mult: 0.0
  6882. }
  6883. param {
  6884. lr_mult: 1.0
  6885. decay_mult: 0.0
  6886. }
  6887. scale_param {
  6888. filler {
  6889. type: "constant"
  6890. value: 1.0
  6891. }
  6892. bias_term: true
  6893. bias_filler {
  6894. type: "constant"
  6895. value: 0.0
  6896. }
  6897. }
  6898. }
  6899. layer {
  6900. name: "Sixth_norm_mbox_conf_perm"
  6901. type: "Permute"
  6902. bottom: "Sixth_norm_mbox_conf"
  6903. top: "Sixth_norm_mbox_conf_perm"
  6904. permute_param {
  6905. order: 0
  6906. order: 2
  6907. order: 3
  6908. order: 1
  6909. }
  6910. }
  6911. layer {
  6912. name: "Sixth_norm_mbox_conf_flat"
  6913. type: "Flatten"
  6914. bottom: "Sixth_norm_mbox_conf_perm"
  6915. top: "Sixth_norm_mbox_conf_flat"
  6916. flatten_param {
  6917. axis: 1
  6918. }
  6919. }
  6920. layer {
  6921. name: "Sixth_norm_mbox_priorbox"
  6922. type: "PriorBox"
  6923. bottom: "Sixth_norm"
  6924. bottom: "data"
  6925. top: "Sixth_norm_mbox_priorbox"
  6926. prior_box_param {
  6927. min_size: 264.0
  6928. max_size: 315.0
  6929. aspect_ratio: 2.0
  6930. flip: true
  6931. clip: false
  6932. variance: 0.10000000149
  6933. variance: 0.10000000149
  6934. variance: 0.20000000298
  6935. variance: 0.20000000298
  6936. step: 300.0
  6937. offset: 0.5
  6938. }
  6939. }
  6940. layer {
  6941. name: "mbox_loc"
  6942. type: "Concat"
  6943. bottom: "First_norm_mbox_loc_flat"
  6944. bottom: "Second_norm_mbox_loc_flat"
  6945. bottom: "Third_norm_mbox_loc_flat"
  6946. bottom: "Fourth_norm_mbox_loc_flat"
  6947. bottom: "Fifth_norm_mbox_loc_flat"
  6948. bottom: "Sixth_norm_mbox_loc_flat"
  6949. top: "mbox_loc"
  6950. concat_param {
  6951. axis: 1
  6952. }
  6953. }
  6954. layer {
  6955. name: "mbox_conf"
  6956. type: "Concat"
  6957. bottom: "First_norm_mbox_conf_flat"
  6958. bottom: "Second_norm_mbox_conf_flat"
  6959. bottom: "Third_norm_mbox_conf_flat"
  6960. bottom: "Fourth_norm_mbox_conf_flat"
  6961. bottom: "Fifth_norm_mbox_conf_flat"
  6962. bottom: "Sixth_norm_mbox_conf_flat"
  6963. top: "mbox_conf"
  6964. concat_param {
  6965. axis: 1
  6966. }
  6967. }
  6968. layer {
  6969. name: "mbox_priorbox"
  6970. type: "Concat"
  6971. bottom: "First_norm_mbox_priorbox"
  6972. bottom: "Second_norm_mbox_priorbox"
  6973. bottom: "Third_norm_mbox_priorbox"
  6974. bottom: "Fourth_norm_mbox_priorbox"
  6975. bottom: "Fifth_norm_mbox_priorbox"
  6976. bottom: "Sixth_norm_mbox_priorbox"
  6977. top: "mbox_priorbox"
  6978. concat_param {
  6979. axis: 2
  6980. }
  6981. }
  6982. layer {
  6983. name: "mbox_conf_reshape"
  6984. type: "Reshape"
  6985. bottom: "mbox_conf"
  6986. top: "mbox_conf_reshape"
  6987. reshape_param {
  6988. shape {
  6989. dim: 0
  6990. dim: -1
  6991. dim: 21
  6992. }
  6993. }
  6994. }
  6995. layer {
  6996. name: "mbox_conf_softmax"
  6997. type: "Softmax"
  6998. bottom: "mbox_conf_reshape"
  6999. top: "mbox_conf_softmax"
  7000. softmax_param {
  7001. axis: 2
  7002. }
  7003. }
  7004. layer {
  7005. name: "mbox_conf_flatten"
  7006. type: "Flatten"
  7007. bottom: "mbox_conf_softmax"
  7008. top: "mbox_conf_flatten"
  7009. flatten_param {
  7010. axis: 1
  7011. }
  7012. }
  7013. layer {
  7014. name: "detection_out"
  7015. type: "DetectionOutput"
  7016. bottom: "mbox_loc"
  7017. bottom: "mbox_conf_flatten"
  7018. bottom: "mbox_priorbox"
  7019. top: "detection_out"
  7020. include {
  7021. phase: TEST
  7022. }
  7023. detection_output_param {
  7024. num_classes: 21
  7025. share_location: true
  7026. background_label_id: 0
  7027. nms_param {
  7028. nms_threshold: 0.449999988079
  7029. top_k: 400
  7030. }
  7031. save_output_param {
  7032. output_directory: "/home/chan/data/VOCdevkit/results/VOC2007/DSOD300_300x300/Main"
  7033. output_name_prefix: "comp4_det_test_"
  7034. output_format: "VOC"
  7035. label_map_file: "data/VOC0712/labelmap_voc.prototxt"
  7036. name_size_file: "data/VOC0712/test_name_size.txt"
  7037. num_test_image: 4952
  7038. }
  7039. code_type: CENTER_SIZE
  7040. keep_top_k: 200
  7041. confidence_threshold: 0.00999999977648
  7042. }
  7043. }
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