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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: 192
  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: "BatchNorm5"
  254. type: "BatchNorm"
  255. bottom: "Convolution4"
  256. top: "BatchNorm5"
  257. param {
  258. lr_mult: 0.0
  259. decay_mult: 0.0
  260. }
  261. param {
  262. lr_mult: 0.0
  263. decay_mult: 0.0
  264. }
  265. param {
  266. lr_mult: 0.0
  267. decay_mult: 0.0
  268. }
  269. }
  270. layer {
  271. name: "Scale5"
  272. type: "Scale"
  273. bottom: "BatchNorm5"
  274. top: "BatchNorm5"
  275. scale_param {
  276. filler {
  277. value: 1.0
  278. }
  279. bias_term: true
  280. bias_filler {
  281. value: 0.0
  282. }
  283. }
  284. }
  285. layer {
  286. name: "ReLU5"
  287. type: "ReLU"
  288. bottom: "BatchNorm5"
  289. top: "BatchNorm5"
  290. }
  291. layer {
  292. name: "Convolution5"
  293. type: "Convolution"
  294. bottom: "BatchNorm5"
  295. top: "Convolution5"
  296. convolution_param {
  297. num_output: 48
  298. bias_term: false
  299. pad: 1
  300. kernel_size: 3
  301. stride: 1
  302. weight_filler {
  303. type: "xavier"
  304. }
  305. bias_filler {
  306. type: "constant"
  307. }
  308. }
  309. }
  310. layer {
  311. name: "Concat1"
  312. type: "Concat"
  313. bottom: "Pooling1"
  314. bottom: "Convolution5"
  315. top: "Concat1"
  316. concat_param {
  317. axis: 1
  318. }
  319. }
  320. layer {
  321. name: "BatchNorm6"
  322. type: "BatchNorm"
  323. bottom: "Concat1"
  324. top: "BatchNorm6"
  325. param {
  326. lr_mult: 0.0
  327. decay_mult: 0.0
  328. }
  329. param {
  330. lr_mult: 0.0
  331. decay_mult: 0.0
  332. }
  333. param {
  334. lr_mult: 0.0
  335. decay_mult: 0.0
  336. }
  337. }
  338. layer {
  339. name: "Scale6"
  340. type: "Scale"
  341. bottom: "BatchNorm6"
  342. top: "BatchNorm6"
  343. scale_param {
  344. filler {
  345. value: 1.0
  346. }
  347. bias_term: true
  348. bias_filler {
  349. value: 0.0
  350. }
  351. }
  352. }
  353. layer {
  354. name: "ReLU6"
  355. type: "ReLU"
  356. bottom: "BatchNorm6"
  357. top: "BatchNorm6"
  358. }
  359. layer {
  360. name: "Convolution6"
  361. type: "Convolution"
  362. bottom: "BatchNorm6"
  363. top: "Convolution6"
  364. convolution_param {
  365. num_output: 192
  366. bias_term: false
  367. pad: 0
  368. kernel_size: 1
  369. stride: 1
  370. weight_filler {
  371. type: "xavier"
  372. }
  373. bias_filler {
  374. type: "constant"
  375. }
  376. }
  377. }
  378. layer {
  379. name: "BatchNorm7"
  380. type: "BatchNorm"
  381. bottom: "Convolution6"
  382. top: "BatchNorm7"
  383. param {
  384. lr_mult: 0.0
  385. decay_mult: 0.0
  386. }
  387. param {
  388. lr_mult: 0.0
  389. decay_mult: 0.0
  390. }
  391. param {
  392. lr_mult: 0.0
  393. decay_mult: 0.0
  394. }
  395. }
  396. layer {
  397. name: "Scale7"
  398. type: "Scale"
  399. bottom: "BatchNorm7"
  400. top: "BatchNorm7"
  401. scale_param {
  402. filler {
  403. value: 1.0
  404. }
  405. bias_term: true
  406. bias_filler {
  407. value: 0.0
  408. }
  409. }
  410. }
  411. layer {
  412. name: "ReLU7"
  413. type: "ReLU"
  414. bottom: "BatchNorm7"
  415. top: "BatchNorm7"
  416. }
  417. layer {
  418. name: "Convolution7"
  419. type: "Convolution"
  420. bottom: "BatchNorm7"
  421. top: "Convolution7"
  422. convolution_param {
  423. num_output: 48
  424. bias_term: false
  425. pad: 1
  426. kernel_size: 3
  427. stride: 1
  428. weight_filler {
  429. type: "xavier"
  430. }
  431. bias_filler {
  432. type: "constant"
  433. }
  434. }
  435. }
  436. layer {
  437. name: "Concat2"
  438. type: "Concat"
  439. bottom: "Concat1"
  440. bottom: "Convolution7"
  441. top: "Concat2"
  442. concat_param {
  443. axis: 1
  444. }
  445. }
  446. layer {
  447. name: "BatchNorm8"
  448. type: "BatchNorm"
  449. bottom: "Concat2"
  450. top: "BatchNorm8"
  451. param {
  452. lr_mult: 0.0
  453. decay_mult: 0.0
  454. }
  455. param {
  456. lr_mult: 0.0
  457. decay_mult: 0.0
  458. }
  459. param {
  460. lr_mult: 0.0
  461. decay_mult: 0.0
  462. }
  463. }
  464. layer {
  465. name: "Scale8"
  466. type: "Scale"
  467. bottom: "BatchNorm8"
  468. top: "BatchNorm8"
  469. scale_param {
  470. filler {
  471. value: 1.0
  472. }
  473. bias_term: true
  474. bias_filler {
  475. value: 0.0
  476. }
  477. }
  478. }
  479. layer {
  480. name: "ReLU8"
  481. type: "ReLU"
  482. bottom: "BatchNorm8"
  483. top: "BatchNorm8"
  484. }
  485. layer {
  486. name: "Convolution8"
  487. type: "Convolution"
  488. bottom: "BatchNorm8"
  489. top: "Convolution8"
  490. convolution_param {
  491. num_output: 192
  492. bias_term: false
  493. pad: 0
  494. kernel_size: 1
  495. stride: 1
  496. weight_filler {
  497. type: "xavier"
  498. }
  499. bias_filler {
  500. type: "constant"
  501. }
  502. }
  503. }
  504. layer {
  505. name: "BatchNorm9"
  506. type: "BatchNorm"
  507. bottom: "Convolution8"
  508. top: "BatchNorm9"
  509. param {
  510. lr_mult: 0.0
  511. decay_mult: 0.0
  512. }
  513. param {
  514. lr_mult: 0.0
  515. decay_mult: 0.0
  516. }
  517. param {
  518. lr_mult: 0.0
  519. decay_mult: 0.0
  520. }
  521. }
  522. layer {
  523. name: "Scale9"
  524. type: "Scale"
  525. bottom: "BatchNorm9"
  526. top: "BatchNorm9"
  527. scale_param {
  528. filler {
  529. value: 1.0
  530. }
  531. bias_term: true
  532. bias_filler {
  533. value: 0.0
  534. }
  535. }
  536. }
  537. layer {
  538. name: "ReLU9"
  539. type: "ReLU"
  540. bottom: "BatchNorm9"
  541. top: "BatchNorm9"
  542. }
  543. layer {
  544. name: "Convolution9"
  545. type: "Convolution"
  546. bottom: "BatchNorm9"
  547. top: "Convolution9"
  548. convolution_param {
  549. num_output: 48
  550. bias_term: false
  551. pad: 1
  552. kernel_size: 3
  553. stride: 1
  554. weight_filler {
  555. type: "xavier"
  556. }
  557. bias_filler {
  558. type: "constant"
  559. }
  560. }
  561. }
  562. layer {
  563. name: "Concat3"
  564. type: "Concat"
  565. bottom: "Concat2"
  566. bottom: "Convolution9"
  567. top: "Concat3"
  568. concat_param {
  569. axis: 1
  570. }
  571. }
  572. layer {
  573. name: "BatchNorm10"
  574. type: "BatchNorm"
  575. bottom: "Concat3"
  576. top: "BatchNorm10"
  577. param {
  578. lr_mult: 0.0
  579. decay_mult: 0.0
  580. }
  581. param {
  582. lr_mult: 0.0
  583. decay_mult: 0.0
  584. }
  585. param {
  586. lr_mult: 0.0
  587. decay_mult: 0.0
  588. }
  589. }
  590. layer {
  591. name: "Scale10"
  592. type: "Scale"
  593. bottom: "BatchNorm10"
  594. top: "BatchNorm10"
  595. scale_param {
  596. filler {
  597. value: 1.0
  598. }
  599. bias_term: true
  600. bias_filler {
  601. value: 0.0
  602. }
  603. }
  604. }
  605. layer {
  606. name: "ReLU10"
  607. type: "ReLU"
  608. bottom: "BatchNorm10"
  609. top: "BatchNorm10"
  610. }
  611. layer {
  612. name: "Convolution10"
  613. type: "Convolution"
  614. bottom: "BatchNorm10"
  615. top: "Convolution10"
  616. convolution_param {
  617. num_output: 192
  618. bias_term: false
  619. pad: 0
  620. kernel_size: 1
  621. stride: 1
  622. weight_filler {
  623. type: "xavier"
  624. }
  625. bias_filler {
  626. type: "constant"
  627. }
  628. }
  629. }
  630. layer {
  631. name: "BatchNorm11"
  632. type: "BatchNorm"
  633. bottom: "Convolution10"
  634. top: "BatchNorm11"
  635. param {
  636. lr_mult: 0.0
  637. decay_mult: 0.0
  638. }
  639. param {
  640. lr_mult: 0.0
  641. decay_mult: 0.0
  642. }
  643. param {
  644. lr_mult: 0.0
  645. decay_mult: 0.0
  646. }
  647. }
  648. layer {
  649. name: "Scale11"
  650. type: "Scale"
  651. bottom: "BatchNorm11"
  652. top: "BatchNorm11"
  653. scale_param {
  654. filler {
  655. value: 1.0
  656. }
  657. bias_term: true
  658. bias_filler {
  659. value: 0.0
  660. }
  661. }
  662. }
  663. layer {
  664. name: "ReLU11"
  665. type: "ReLU"
  666. bottom: "BatchNorm11"
  667. top: "BatchNorm11"
  668. }
  669. layer {
  670. name: "Convolution11"
  671. type: "Convolution"
  672. bottom: "BatchNorm11"
  673. top: "Convolution11"
  674. convolution_param {
  675. num_output: 48
  676. bias_term: false
  677. pad: 1
  678. kernel_size: 3
  679. stride: 1
  680. weight_filler {
  681. type: "xavier"
  682. }
  683. bias_filler {
  684. type: "constant"
  685. }
  686. }
  687. }
  688. layer {
  689. name: "Concat4"
  690. type: "Concat"
  691. bottom: "Concat3"
  692. bottom: "Convolution11"
  693. top: "Concat4"
  694. concat_param {
  695. axis: 1
  696. }
  697. }
  698. layer {
  699. name: "BatchNorm12"
  700. type: "BatchNorm"
  701. bottom: "Concat4"
  702. top: "BatchNorm12"
  703. param {
  704. lr_mult: 0.0
  705. decay_mult: 0.0
  706. }
  707. param {
  708. lr_mult: 0.0
  709. decay_mult: 0.0
  710. }
  711. param {
  712. lr_mult: 0.0
  713. decay_mult: 0.0
  714. }
  715. }
  716. layer {
  717. name: "Scale12"
  718. type: "Scale"
  719. bottom: "BatchNorm12"
  720. top: "BatchNorm12"
  721. scale_param {
  722. filler {
  723. value: 1.0
  724. }
  725. bias_term: true
  726. bias_filler {
  727. value: 0.0
  728. }
  729. }
  730. }
  731. layer {
  732. name: "ReLU12"
  733. type: "ReLU"
  734. bottom: "BatchNorm12"
  735. top: "BatchNorm12"
  736. }
  737. layer {
  738. name: "Convolution12"
  739. type: "Convolution"
  740. bottom: "BatchNorm12"
  741. top: "Convolution12"
  742. convolution_param {
  743. num_output: 192
  744. bias_term: false
  745. pad: 0
  746. kernel_size: 1
  747. stride: 1
  748. weight_filler {
  749. type: "xavier"
  750. }
  751. bias_filler {
  752. type: "constant"
  753. }
  754. }
  755. }
  756. layer {
  757. name: "BatchNorm13"
  758. type: "BatchNorm"
  759. bottom: "Convolution12"
  760. top: "BatchNorm13"
  761. param {
  762. lr_mult: 0.0
  763. decay_mult: 0.0
  764. }
  765. param {
  766. lr_mult: 0.0
  767. decay_mult: 0.0
  768. }
  769. param {
  770. lr_mult: 0.0
  771. decay_mult: 0.0
  772. }
  773. }
  774. layer {
  775. name: "Scale13"
  776. type: "Scale"
  777. bottom: "BatchNorm13"
  778. top: "BatchNorm13"
  779. scale_param {
  780. filler {
  781. value: 1.0
  782. }
  783. bias_term: true
  784. bias_filler {
  785. value: 0.0
  786. }
  787. }
  788. }
  789. layer {
  790. name: "ReLU13"
  791. type: "ReLU"
  792. bottom: "BatchNorm13"
  793. top: "BatchNorm13"
  794. }
  795. layer {
  796. name: "Convolution13"
  797. type: "Convolution"
  798. bottom: "BatchNorm13"
  799. top: "Convolution13"
  800. convolution_param {
  801. num_output: 48
  802. bias_term: false
  803. pad: 1
  804. kernel_size: 3
  805. stride: 1
  806. weight_filler {
  807. type: "xavier"
  808. }
  809. bias_filler {
  810. type: "constant"
  811. }
  812. }
  813. }
  814. layer {
  815. name: "Concat5"
  816. type: "Concat"
  817. bottom: "Concat4"
  818. bottom: "Convolution13"
  819. top: "Concat5"
  820. concat_param {
  821. axis: 1
  822. }
  823. }
  824. layer {
  825. name: "BatchNorm14"
  826. type: "BatchNorm"
  827. bottom: "Concat5"
  828. top: "BatchNorm14"
  829. param {
  830. lr_mult: 0.0
  831. decay_mult: 0.0
  832. }
  833. param {
  834. lr_mult: 0.0
  835. decay_mult: 0.0
  836. }
  837. param {
  838. lr_mult: 0.0
  839. decay_mult: 0.0
  840. }
  841. }
  842. layer {
  843. name: "Scale14"
  844. type: "Scale"
  845. bottom: "BatchNorm14"
  846. top: "BatchNorm14"
  847. scale_param {
  848. filler {
  849. value: 1.0
  850. }
  851. bias_term: true
  852. bias_filler {
  853. value: 0.0
  854. }
  855. }
  856. }
  857. layer {
  858. name: "ReLU14"
  859. type: "ReLU"
  860. bottom: "BatchNorm14"
  861. top: "BatchNorm14"
  862. }
  863. layer {
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  865. type: "Convolution"
  866. bottom: "BatchNorm14"
  867. top: "Convolution14"
  868. convolution_param {
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  870. bias_term: false
  871. pad: 0
  872. kernel_size: 1
  873. stride: 1
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  876. }
  877. bias_filler {
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  879. }
  880. }
  881. }
  882. layer {
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  884. type: "BatchNorm"
  885. bottom: "Convolution14"
  886. top: "BatchNorm15"
  887. param {
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  889. decay_mult: 0.0
  890. }
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  893. decay_mult: 0.0
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  900. layer {
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  902. type: "Scale"
  903. bottom: "BatchNorm15"
  904. top: "BatchNorm15"
  905. scale_param {
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  909. bias_term: true
  910. bias_filler {
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  913. }
  914. }
  915. layer {
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  917. type: "ReLU"
  918. bottom: "BatchNorm15"
  919. top: "BatchNorm15"
  920. }
  921. layer {
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  923. type: "Convolution"
  924. bottom: "BatchNorm15"
  925. top: "Convolution15"
  926. convolution_param {
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  928. bias_term: false
  929. pad: 1
  930. kernel_size: 3
  931. stride: 1
  932. weight_filler {
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  934. }
  935. bias_filler {
  936. type: "constant"
  937. }
  938. }
  939. }
  940. layer {
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  942. type: "Concat"
  943. bottom: "Concat5"
  944. bottom: "Convolution15"
  945. top: "Concat6"
  946. concat_param {
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  948. }
  949. }
  950. layer {
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  952. type: "BatchNorm"
  953. bottom: "Concat6"
  954. top: "BatchNorm16"
  955. param {
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  957. decay_mult: 0.0
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  959. param {
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  961. decay_mult: 0.0
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  963. param {
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  967. }
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  970. type: "Scale"
  971. bottom: "BatchNorm16"
  972. top: "BatchNorm16"
  973. scale_param {
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  977. bias_term: true
  978. bias_filler {
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  981. }
  982. }
  983. layer {
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  985. type: "ReLU"
  986. bottom: "BatchNorm16"
  987. top: "ReLU16"
  988. }
  989. layer {
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  991. type: "Convolution"
  992. bottom: "ReLU16"
  993. top: "Convolution16"
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  996. bias_term: false
  997. pad: 0
  998. kernel_size: 1
  999. stride: 1
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  1002. }
  1003. bias_filler {
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  1005. }
  1006. }
  1007. }
  1008. layer {
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  1010. type: "Pooling"
  1011. bottom: "Convolution16"
  1012. top: "Pooling2"
  1013. pooling_param {
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  1015. kernel_size: 2
  1016. stride: 2
  1017. }
  1018. }
  1019. layer {
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  1021. type: "BatchNorm"
  1022. bottom: "Pooling2"
  1023. top: "BatchNorm17"
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  1026. decay_mult: 0.0
  1027. }
  1028. param {
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  1030. decay_mult: 0.0
  1031. }
  1032. param {
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  1034. decay_mult: 0.0
  1035. }
  1036. }
  1037. layer {
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  1039. type: "Scale"
  1040. bottom: "BatchNorm17"
  1041. top: "BatchNorm17"
  1042. scale_param {
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  1046. bias_term: true
  1047. bias_filler {
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  1050. }
  1051. }
  1052. layer {
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  1054. type: "ReLU"
  1055. bottom: "BatchNorm17"
  1056. top: "BatchNorm17"
  1057. }
  1058. layer {
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  1060. type: "Convolution"
  1061. bottom: "BatchNorm17"
  1062. top: "Convolution17"
  1063. convolution_param {
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  1065. bias_term: false
  1066. pad: 0
  1067. kernel_size: 1
  1068. stride: 1
  1069. weight_filler {
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  1071. }
  1072. bias_filler {
  1073. type: "constant"
  1074. }
  1075. }
  1076. }
  1077. layer {
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  1079. type: "BatchNorm"
  1080. bottom: "Convolution17"
  1081. top: "BatchNorm18"
  1082. param {
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  1084. decay_mult: 0.0
  1085. }
  1086. param {
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  1090. param {
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  1095. layer {
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  1097. type: "Scale"
  1098. bottom: "BatchNorm18"
  1099. top: "BatchNorm18"
  1100. scale_param {
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  1104. bias_term: true
  1105. bias_filler {
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  1108. }
  1109. }
  1110. layer {
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  1112. type: "ReLU"
  1113. bottom: "BatchNorm18"
  1114. top: "BatchNorm18"
  1115. }
  1116. layer {
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  1118. type: "Convolution"
  1119. bottom: "BatchNorm18"
  1120. top: "Convolution18"
  1121. convolution_param {
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  1123. bias_term: false
  1124. pad: 1
  1125. kernel_size: 3
  1126. stride: 1
  1127. weight_filler {
  1128. type: "xavier"
  1129. }
  1130. bias_filler {
  1131. type: "constant"
  1132. }
  1133. }
  1134. }
  1135. layer {
  1136. name: "Concat7"
  1137. type: "Concat"
  1138. bottom: "Pooling2"
  1139. bottom: "Convolution18"
  1140. top: "Concat7"
  1141. concat_param {
  1142. axis: 1
  1143. }
  1144. }
  1145. layer {
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  1147. type: "BatchNorm"
  1148. bottom: "Concat7"
  1149. top: "BatchNorm19"
  1150. param {
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  1152. decay_mult: 0.0
  1153. }
  1154. param {
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  1156. decay_mult: 0.0
  1157. }
  1158. param {
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  1160. decay_mult: 0.0
  1161. }
  1162. }
  1163. layer {
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  1165. type: "Scale"
  1166. bottom: "BatchNorm19"
  1167. top: "BatchNorm19"
  1168. scale_param {
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  1172. bias_term: true
  1173. bias_filler {
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  1175. }
  1176. }
  1177. }
  1178. layer {
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  1180. type: "ReLU"
  1181. bottom: "BatchNorm19"
  1182. top: "BatchNorm19"
  1183. }
  1184. layer {
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  1186. type: "Convolution"
  1187. bottom: "BatchNorm19"
  1188. top: "Convolution19"
  1189. convolution_param {
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  1191. bias_term: false
  1192. pad: 0
  1193. kernel_size: 1
  1194. stride: 1
  1195. weight_filler {
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  1197. }
  1198. bias_filler {
  1199. type: "constant"
  1200. }
  1201. }
  1202. }
  1203. layer {
  1204. name: "BatchNorm20"
  1205. type: "BatchNorm"
  1206. bottom: "Convolution19"
  1207. top: "BatchNorm20"
  1208. param {
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  1210. decay_mult: 0.0
  1211. }
  1212. param {
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  1214. decay_mult: 0.0
  1215. }
  1216. param {
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  1218. decay_mult: 0.0
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  1220. }
  1221. layer {
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  1223. type: "Scale"
  1224. bottom: "BatchNorm20"
  1225. top: "BatchNorm20"
  1226. scale_param {
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  1230. bias_term: true
  1231. bias_filler {
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  1233. }
  1234. }
  1235. }
  1236. layer {
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  1238. type: "ReLU"
  1239. bottom: "BatchNorm20"
  1240. top: "BatchNorm20"
  1241. }
  1242. layer {
  1243. name: "Convolution20"
  1244. type: "Convolution"
  1245. bottom: "BatchNorm20"
  1246. top: "Convolution20"
  1247. convolution_param {
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  1249. bias_term: false
  1250. pad: 1
  1251. kernel_size: 3
  1252. stride: 1
  1253. weight_filler {
  1254. type: "xavier"
  1255. }
  1256. bias_filler {
  1257. type: "constant"
  1258. }
  1259. }
  1260. }
  1261. layer {
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  1263. type: "Concat"
  1264. bottom: "Concat7"
  1265. bottom: "Convolution20"
  1266. top: "Concat8"
  1267. concat_param {
  1268. axis: 1
  1269. }
  1270. }
  1271. layer {
  1272. name: "BatchNorm21"
  1273. type: "BatchNorm"
  1274. bottom: "Concat8"
  1275. top: "BatchNorm21"
  1276. param {
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  1278. decay_mult: 0.0
  1279. }
  1280. param {
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  1282. decay_mult: 0.0
  1283. }
  1284. param {
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  1286. decay_mult: 0.0
  1287. }
  1288. }
  1289. layer {
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  1291. type: "Scale"
  1292. bottom: "BatchNorm21"
  1293. top: "BatchNorm21"
  1294. scale_param {
  1295. filler {
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  1298. bias_term: true
  1299. bias_filler {
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  1301. }
  1302. }
  1303. }
  1304. layer {
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  1306. type: "ReLU"
  1307. bottom: "BatchNorm21"
  1308. top: "BatchNorm21"
  1309. }
  1310. layer {
  1311. name: "Convolution21"
  1312. type: "Convolution"
  1313. bottom: "BatchNorm21"
  1314. top: "Convolution21"
  1315. convolution_param {
  1316. num_output: 192
  1317. bias_term: false
  1318. pad: 0
  1319. kernel_size: 1
  1320. stride: 1
  1321. weight_filler {
  1322. type: "xavier"
  1323. }
  1324. bias_filler {
  1325. type: "constant"
  1326. }
  1327. }
  1328. }
  1329. layer {
  1330. name: "BatchNorm22"
  1331. type: "BatchNorm"
  1332. bottom: "Convolution21"
  1333. top: "BatchNorm22"
  1334. param {
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  1336. decay_mult: 0.0
  1337. }
  1338. param {
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  1340. decay_mult: 0.0
  1341. }
  1342. param {
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  1344. decay_mult: 0.0
  1345. }
  1346. }
  1347. layer {
  1348. name: "Scale22"
  1349. type: "Scale"
  1350. bottom: "BatchNorm22"
  1351. top: "BatchNorm22"
  1352. scale_param {
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  1356. bias_term: true
  1357. bias_filler {
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  1360. }
  1361. }
  1362. layer {
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  1364. type: "ReLU"
  1365. bottom: "BatchNorm22"
  1366. top: "BatchNorm22"
  1367. }
  1368. layer {
  1369. name: "Convolution22"
  1370. type: "Convolution"
  1371. bottom: "BatchNorm22"
  1372. top: "Convolution22"
  1373. convolution_param {
  1374. num_output: 48
  1375. bias_term: false
  1376. pad: 1
  1377. kernel_size: 3
  1378. stride: 1
  1379. weight_filler {
  1380. type: "xavier"
  1381. }
  1382. bias_filler {
  1383. type: "constant"
  1384. }
  1385. }
  1386. }
  1387. layer {
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  1389. type: "Concat"
  1390. bottom: "Concat8"
  1391. bottom: "Convolution22"
  1392. top: "Concat9"
  1393. concat_param {
  1394. axis: 1
  1395. }
  1396. }
  1397. layer {
  1398. name: "BatchNorm23"
  1399. type: "BatchNorm"
  1400. bottom: "Concat9"
  1401. top: "BatchNorm23"
  1402. param {
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  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 {
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  1417. type: "Scale"
  1418. bottom: "BatchNorm23"
  1419. top: "BatchNorm23"
  1420. scale_param {
  1421. filler {
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  1424. bias_term: true
  1425. bias_filler {
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  1428. }
  1429. }
  1430. layer {
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  1432. type: "ReLU"
  1433. bottom: "BatchNorm23"
  1434. top: "BatchNorm23"
  1435. }
  1436. layer {
  1437. name: "Convolution23"
  1438. type: "Convolution"
  1439. bottom: "BatchNorm23"
  1440. top: "Convolution23"
  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: "BatchNorm24"
  1457. type: "BatchNorm"
  1458. bottom: "Convolution23"
  1459. top: "BatchNorm24"
  1460. param {
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  1462. decay_mult: 0.0
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  1464. param {
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  1466. decay_mult: 0.0
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  1468. param {
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  1470. decay_mult: 0.0
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  1472. }
  1473. layer {
  1474. name: "Scale24"
  1475. type: "Scale"
  1476. bottom: "BatchNorm24"
  1477. top: "BatchNorm24"
  1478. scale_param {
  1479. filler {
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  1482. bias_term: true
  1483. bias_filler {
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  1486. }
  1487. }
  1488. layer {
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  1490. type: "ReLU"
  1491. bottom: "BatchNorm24"
  1492. top: "BatchNorm24"
  1493. }
  1494. layer {
  1495. name: "Convolution24"
  1496. type: "Convolution"
  1497. bottom: "BatchNorm24"
  1498. top: "Convolution24"
  1499. convolution_param {
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  1501. bias_term: false
  1502. pad: 1
  1503. kernel_size: 3
  1504. stride: 1
  1505. weight_filler {
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  1507. }
  1508. bias_filler {
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  1510. }
  1511. }
  1512. }
  1513. layer {
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  1515. type: "Concat"
  1516. bottom: "Concat9"
  1517. bottom: "Convolution24"
  1518. top: "Concat10"
  1519. concat_param {
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  1522. }
  1523. layer {
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  1525. type: "BatchNorm"
  1526. bottom: "Concat10"
  1527. top: "BatchNorm25"
  1528. param {
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  1530. decay_mult: 0.0
  1531. }
  1532. param {
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  1534. decay_mult: 0.0
  1535. }
  1536. param {
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  1538. decay_mult: 0.0
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  1540. }
  1541. layer {
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  1543. type: "Scale"
  1544. bottom: "BatchNorm25"
  1545. top: "BatchNorm25"
  1546. scale_param {
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  1550. bias_term: true
  1551. bias_filler {
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  1554. }
  1555. }
  1556. layer {
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  1558. type: "ReLU"
  1559. bottom: "BatchNorm25"
  1560. top: "BatchNorm25"
  1561. }
  1562. layer {
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  1564. type: "Convolution"
  1565. bottom: "BatchNorm25"
  1566. top: "Convolution25"
  1567. convolution_param {
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  1569. bias_term: false
  1570. pad: 0
  1571. kernel_size: 1
  1572. stride: 1
  1573. weight_filler {
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  1575. }
  1576. bias_filler {
  1577. type: "constant"
  1578. }
  1579. }
  1580. }
  1581. layer {
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  1583. type: "BatchNorm"
  1584. bottom: "Convolution25"
  1585. top: "BatchNorm26"
  1586. param {
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  1588. decay_mult: 0.0
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  1590. param {
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  1594. param {
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  1596. decay_mult: 0.0
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  1598. }
  1599. layer {
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  1601. type: "Scale"
  1602. bottom: "BatchNorm26"
  1603. top: "BatchNorm26"
  1604. scale_param {
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  1608. bias_term: true
  1609. bias_filler {
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  1612. }
  1613. }
  1614. layer {
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  1616. type: "ReLU"
  1617. bottom: "BatchNorm26"
  1618. top: "BatchNorm26"
  1619. }
  1620. layer {
  1621. name: "Convolution26"
  1622. type: "Convolution"
  1623. bottom: "BatchNorm26"
  1624. top: "Convolution26"
  1625. convolution_param {
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  1627. bias_term: false
  1628. pad: 1
  1629. kernel_size: 3
  1630. stride: 1
  1631. weight_filler {
  1632. type: "xavier"
  1633. }
  1634. bias_filler {
  1635. type: "constant"
  1636. }
  1637. }
  1638. }
  1639. layer {
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  1641. type: "Concat"
  1642. bottom: "Concat10"
  1643. bottom: "Convolution26"
  1644. top: "Concat11"
  1645. concat_param {
  1646. axis: 1
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  1648. }
  1649. layer {
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  1651. type: "BatchNorm"
  1652. bottom: "Concat11"
  1653. top: "BatchNorm27"
  1654. param {
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  1656. decay_mult: 0.0
  1657. }
  1658. param {
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  1660. decay_mult: 0.0
  1661. }
  1662. param {
  1663. lr_mult: 0.0
  1664. decay_mult: 0.0
  1665. }
  1666. }
  1667. layer {
  1668. name: "Scale27"
  1669. type: "Scale"
  1670. bottom: "BatchNorm27"
  1671. top: "BatchNorm27"
  1672. scale_param {
  1673. filler {
  1674. value: 1.0
  1675. }
  1676. bias_term: true
  1677. bias_filler {
  1678. value: 0.0
  1679. }
  1680. }
  1681. }
  1682. layer {
  1683. name: "ReLU27"
  1684. type: "ReLU"
  1685. bottom: "BatchNorm27"
  1686. top: "BatchNorm27"
  1687. }
  1688. layer {
  1689. name: "Convolution27"
  1690. type: "Convolution"
  1691. bottom: "BatchNorm27"
  1692. top: "Convolution27"
  1693. convolution_param {
  1694. num_output: 192
  1695. bias_term: false
  1696. pad: 0
  1697. kernel_size: 1
  1698. stride: 1
  1699. weight_filler {
  1700. type: "xavier"
  1701. }
  1702. bias_filler {
  1703. type: "constant"
  1704. }
  1705. }
  1706. }
  1707. layer {
  1708. name: "BatchNorm28"
  1709. type: "BatchNorm"
  1710. bottom: "Convolution27"
  1711. top: "BatchNorm28"
  1712. param {
  1713. lr_mult: 0.0
  1714. decay_mult: 0.0
  1715. }
  1716. param {
  1717. lr_mult: 0.0
  1718. decay_mult: 0.0
  1719. }
  1720. param {
  1721. lr_mult: 0.0
  1722. decay_mult: 0.0
  1723. }
  1724. }
  1725. layer {
  1726. name: "Scale28"
  1727. type: "Scale"
  1728. bottom: "BatchNorm28"
  1729. top: "BatchNorm28"
  1730. scale_param {
  1731. filler {
  1732. value: 1.0
  1733. }
  1734. bias_term: true
  1735. bias_filler {
  1736. value: 0.0
  1737. }
  1738. }
  1739. }
  1740. layer {
  1741. name: "ReLU28"
  1742. type: "ReLU"
  1743. bottom: "BatchNorm28"
  1744. top: "BatchNorm28"
  1745. }
  1746. layer {
  1747. name: "Convolution28"
  1748. type: "Convolution"
  1749. bottom: "BatchNorm28"
  1750. top: "Convolution28"
  1751. convolution_param {
  1752. num_output: 48
  1753. bias_term: false
  1754. pad: 1
  1755. kernel_size: 3
  1756. stride: 1
  1757. weight_filler {
  1758. type: "xavier"
  1759. }
  1760. bias_filler {
  1761. type: "constant"
  1762. }
  1763. }
  1764. }
  1765. layer {
  1766. name: "Concat12"
  1767. type: "Concat"
  1768. bottom: "Concat11"
  1769. bottom: "Convolution28"
  1770. top: "Concat12"
  1771. concat_param {
  1772. axis: 1
  1773. }
  1774. }
  1775. layer {
  1776. name: "BatchNorm29"
  1777. type: "BatchNorm"
  1778. bottom: "Concat12"
  1779. top: "BatchNorm29"
  1780. param {
  1781. lr_mult: 0.0
  1782. decay_mult: 0.0
  1783. }
  1784. param {
  1785. lr_mult: 0.0
  1786. decay_mult: 0.0
  1787. }
  1788. param {
  1789. lr_mult: 0.0
  1790. decay_mult: 0.0
  1791. }
  1792. }
  1793. layer {
  1794. name: "Scale29"
  1795. type: "Scale"
  1796. bottom: "BatchNorm29"
  1797. top: "BatchNorm29"
  1798. scale_param {
  1799. filler {
  1800. value: 1.0
  1801. }
  1802. bias_term: true
  1803. bias_filler {
  1804. value: 0.0
  1805. }
  1806. }
  1807. }
  1808. layer {
  1809. name: "ReLU29"
  1810. type: "ReLU"
  1811. bottom: "BatchNorm29"
  1812. top: "BatchNorm29"
  1813. }
  1814. layer {
  1815. name: "Convolution29"
  1816. type: "Convolution"
  1817. bottom: "BatchNorm29"
  1818. top: "Convolution29"
  1819. convolution_param {
  1820. num_output: 192
  1821. bias_term: false
  1822. pad: 0
  1823. kernel_size: 1
  1824. stride: 1
  1825. weight_filler {
  1826. type: "xavier"
  1827. }
  1828. bias_filler {
  1829. type: "constant"
  1830. }
  1831. }
  1832. }
  1833. layer {
  1834. name: "BatchNorm30"
  1835. type: "BatchNorm"
  1836. bottom: "Convolution29"
  1837. top: "BatchNorm30"
  1838. param {
  1839. lr_mult: 0.0
  1840. decay_mult: 0.0
  1841. }
  1842. param {
  1843. lr_mult: 0.0
  1844. decay_mult: 0.0
  1845. }
  1846. param {
  1847. lr_mult: 0.0
  1848. decay_mult: 0.0
  1849. }
  1850. }
  1851. layer {
  1852. name: "Scale30"
  1853. type: "Scale"
  1854. bottom: "BatchNorm30"
  1855. top: "BatchNorm30"
  1856. scale_param {
  1857. filler {
  1858. value: 1.0
  1859. }
  1860. bias_term: true
  1861. bias_filler {
  1862. value: 0.0
  1863. }
  1864. }
  1865. }
  1866. layer {
  1867. name: "ReLU30"
  1868. type: "ReLU"
  1869. bottom: "BatchNorm30"
  1870. top: "BatchNorm30"
  1871. }
  1872. layer {
  1873. name: "Convolution30"
  1874. type: "Convolution"
  1875. bottom: "BatchNorm30"
  1876. top: "Convolution30"
  1877. convolution_param {
  1878. num_output: 48
  1879. bias_term: false
  1880. pad: 1
  1881. kernel_size: 3
  1882. stride: 1
  1883. weight_filler {
  1884. type: "xavier"
  1885. }
  1886. bias_filler {
  1887. type: "constant"
  1888. }
  1889. }
  1890. }
  1891. layer {
  1892. name: "Concat13"
  1893. type: "Concat"
  1894. bottom: "Concat12"
  1895. bottom: "Convolution30"
  1896. top: "Concat13"
  1897. concat_param {
  1898. axis: 1
  1899. }
  1900. }
  1901. layer {
  1902. name: "BatchNorm31"
  1903. type: "BatchNorm"
  1904. bottom: "Concat13"
  1905. top: "BatchNorm31"
  1906. param {
  1907. lr_mult: 0.0
  1908. decay_mult: 0.0
  1909. }
  1910. param {
  1911. lr_mult: 0.0
  1912. decay_mult: 0.0
  1913. }
  1914. param {
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  1916. decay_mult: 0.0
  1917. }
  1918. }
  1919. layer {
  1920. name: "Scale31"
  1921. type: "Scale"
  1922. bottom: "BatchNorm31"
  1923. top: "BatchNorm31"
  1924. scale_param {
  1925. filler {
  1926. value: 1.0
  1927. }
  1928. bias_term: true
  1929. bias_filler {
  1930. value: 0.0
  1931. }
  1932. }
  1933. }
  1934. layer {
  1935. name: "ReLU31"
  1936. type: "ReLU"
  1937. bottom: "BatchNorm31"
  1938. top: "BatchNorm31"
  1939. }
  1940. layer {
  1941. name: "Convolution31"
  1942. type: "Convolution"
  1943. bottom: "BatchNorm31"
  1944. top: "Convolution31"
  1945. convolution_param {
  1946. num_output: 192
  1947. bias_term: false
  1948. pad: 0
  1949. kernel_size: 1
  1950. stride: 1
  1951. weight_filler {
  1952. type: "xavier"
  1953. }
  1954. bias_filler {
  1955. type: "constant"
  1956. }
  1957. }
  1958. }
  1959. layer {
  1960. name: "BatchNorm32"
  1961. type: "BatchNorm"
  1962. bottom: "Convolution31"
  1963. top: "BatchNorm32"
  1964. param {
  1965. lr_mult: 0.0
  1966. decay_mult: 0.0
  1967. }
  1968. param {
  1969. lr_mult: 0.0
  1970. decay_mult: 0.0
  1971. }
  1972. param {
  1973. lr_mult: 0.0
  1974. decay_mult: 0.0
  1975. }
  1976. }
  1977. layer {
  1978. name: "Scale32"
  1979. type: "Scale"
  1980. bottom: "BatchNorm32"
  1981. top: "BatchNorm32"
  1982. scale_param {
  1983. filler {
  1984. value: 1.0
  1985. }
  1986. bias_term: true
  1987. bias_filler {
  1988. value: 0.0
  1989. }
  1990. }
  1991. }
  1992. layer {
  1993. name: "ReLU32"
  1994. type: "ReLU"
  1995. bottom: "BatchNorm32"
  1996. top: "BatchNorm32"
  1997. }
  1998. layer {
  1999. name: "Convolution32"
  2000. type: "Convolution"
  2001. bottom: "BatchNorm32"
  2002. top: "Convolution32"
  2003. convolution_param {
  2004. num_output: 48
  2005. bias_term: false
  2006. pad: 1
  2007. kernel_size: 3
  2008. stride: 1
  2009. weight_filler {
  2010. type: "xavier"
  2011. }
  2012. bias_filler {
  2013. type: "constant"
  2014. }
  2015. }
  2016. }
  2017. layer {
  2018. name: "Concat14"
  2019. type: "Concat"
  2020. bottom: "Concat13"
  2021. bottom: "Convolution32"
  2022. top: "Concat14"
  2023. concat_param {
  2024. axis: 1
  2025. }
  2026. }
  2027. layer {
  2028. name: "BatchNorm33"
  2029. type: "BatchNorm"
  2030. bottom: "Concat14"
  2031. top: "BatchNorm33"
  2032. param {
  2033. lr_mult: 0.0
  2034. decay_mult: 0.0
  2035. }
  2036. param {
  2037. lr_mult: 0.0
  2038. decay_mult: 0.0
  2039. }
  2040. param {
  2041. lr_mult: 0.0
  2042. decay_mult: 0.0
  2043. }
  2044. }
  2045. layer {
  2046. name: "Scale33"
  2047. type: "Scale"
  2048. bottom: "BatchNorm33"
  2049. top: "BatchNorm33"
  2050. scale_param {
  2051. filler {
  2052. value: 1.0
  2053. }
  2054. bias_term: true
  2055. bias_filler {
  2056. value: 0.0
  2057. }
  2058. }
  2059. }
  2060. layer {
  2061. name: "ReLU33"
  2062. type: "ReLU"
  2063. bottom: "BatchNorm33"
  2064. top: "ReLU33"
  2065. }
  2066. layer {
  2067. name: "First"
  2068. type: "Convolution"
  2069. bottom: "ReLU33"
  2070. top: "First"
  2071. convolution_param {
  2072. num_output: 800
  2073. bias_term: false
  2074. pad: 0
  2075. kernel_size: 1
  2076. stride: 1
  2077. weight_filler {
  2078. type: "xavier"
  2079. }
  2080. bias_filler {
  2081. type: "constant"
  2082. }
  2083. }
  2084. }
  2085. layer {
  2086. name: "Pooling3"
  2087. type: "Pooling"
  2088. bottom: "First"
  2089. top: "Pooling3"
  2090. pooling_param {
  2091. pool: MAX
  2092. kernel_size: 2
  2093. stride: 2
  2094. }
  2095. }
  2096. layer {
  2097. name: "BatchNorm34"
  2098. type: "BatchNorm"
  2099. bottom: "Pooling3"
  2100. top: "BatchNorm34"
  2101. param {
  2102. lr_mult: 0.0
  2103. decay_mult: 0.0
  2104. }
  2105. param {
  2106. lr_mult: 0.0
  2107. decay_mult: 0.0
  2108. }
  2109. param {
  2110. lr_mult: 0.0
  2111. decay_mult: 0.0
  2112. }
  2113. }
  2114. layer {
  2115. name: "Scale34"
  2116. type: "Scale"
  2117. bottom: "BatchNorm34"
  2118. top: "BatchNorm34"
  2119. scale_param {
  2120. filler {
  2121. value: 1.0
  2122. }
  2123. bias_term: true
  2124. bias_filler {
  2125. value: 0.0
  2126. }
  2127. }
  2128. }
  2129. layer {
  2130. name: "ReLU34"
  2131. type: "ReLU"
  2132. bottom: "BatchNorm34"
  2133. top: "BatchNorm34"
  2134. }
  2135. layer {
  2136. name: "Convolution33"
  2137. type: "Convolution"
  2138. bottom: "BatchNorm34"
  2139. top: "Convolution33"
  2140. convolution_param {
  2141. num_output: 192
  2142. bias_term: false
  2143. pad: 0
  2144. kernel_size: 1
  2145. stride: 1
  2146. weight_filler {
  2147. type: "xavier"
  2148. }
  2149. bias_filler {
  2150. type: "constant"
  2151. }
  2152. }
  2153. }
  2154. layer {
  2155. name: "BatchNorm35"
  2156. type: "BatchNorm"
  2157. bottom: "Convolution33"
  2158. top: "BatchNorm35"
  2159. param {
  2160. lr_mult: 0.0
  2161. decay_mult: 0.0
  2162. }
  2163. param {
  2164. lr_mult: 0.0
  2165. decay_mult: 0.0
  2166. }
  2167. param {
  2168. lr_mult: 0.0
  2169. decay_mult: 0.0
  2170. }
  2171. }
  2172. layer {
  2173. name: "Scale35"
  2174. type: "Scale"
  2175. bottom: "BatchNorm35"
  2176. top: "BatchNorm35"
  2177. scale_param {
  2178. filler {
  2179. value: 1.0
  2180. }
  2181. bias_term: true
  2182. bias_filler {
  2183. value: 0.0
  2184. }
  2185. }
  2186. }
  2187. layer {
  2188. name: "ReLU35"
  2189. type: "ReLU"
  2190. bottom: "BatchNorm35"
  2191. top: "BatchNorm35"
  2192. }
  2193. layer {
  2194. name: "Convolution34"
  2195. type: "Convolution"
  2196. bottom: "BatchNorm35"
  2197. top: "Convolution34"
  2198. convolution_param {
  2199. num_output: 48
  2200. bias_term: false
  2201. pad: 1
  2202. kernel_size: 3
  2203. stride: 1
  2204. weight_filler {
  2205. type: "xavier"
  2206. }
  2207. bias_filler {
  2208. type: "constant"
  2209. }
  2210. }
  2211. }
  2212. layer {
  2213. name: "Concat15"
  2214. type: "Concat"
  2215. bottom: "Pooling3"
  2216. bottom: "Convolution34"
  2217. top: "Concat15"
  2218. concat_param {
  2219. axis: 1
  2220. }
  2221. }
  2222. layer {
  2223. name: "BatchNorm36"
  2224. type: "BatchNorm"
  2225. bottom: "Concat15"
  2226. top: "BatchNorm36"
  2227. param {
  2228. lr_mult: 0.0
  2229. decay_mult: 0.0
  2230. }
  2231. param {
  2232. lr_mult: 0.0
  2233. decay_mult: 0.0
  2234. }
  2235. param {
  2236. lr_mult: 0.0
  2237. decay_mult: 0.0
  2238. }
  2239. }
  2240. layer {
  2241. name: "Scale36"
  2242. type: "Scale"
  2243. bottom: "BatchNorm36"
  2244. top: "BatchNorm36"
  2245. scale_param {
  2246. filler {
  2247. value: 1.0
  2248. }
  2249. bias_term: true
  2250. bias_filler {
  2251. value: 0.0
  2252. }
  2253. }
  2254. }
  2255. layer {
  2256. name: "ReLU36"
  2257. type: "ReLU"
  2258. bottom: "BatchNorm36"
  2259. top: "BatchNorm36"
  2260. }
  2261. layer {
  2262. name: "Convolution35"
  2263. type: "Convolution"
  2264. bottom: "BatchNorm36"
  2265. top: "Convolution35"
  2266. convolution_param {
  2267. num_output: 192
  2268. bias_term: false
  2269. pad: 0
  2270. kernel_size: 1
  2271. stride: 1
  2272. weight_filler {
  2273. type: "xavier"
  2274. }
  2275. bias_filler {
  2276. type: "constant"
  2277. }
  2278. }
  2279. }
  2280. layer {
  2281. name: "BatchNorm37"
  2282. type: "BatchNorm"
  2283. bottom: "Convolution35"
  2284. top: "BatchNorm37"
  2285. param {
  2286. lr_mult: 0.0
  2287. decay_mult: 0.0
  2288. }
  2289. param {
  2290. lr_mult: 0.0
  2291. decay_mult: 0.0
  2292. }
  2293. param {
  2294. lr_mult: 0.0
  2295. decay_mult: 0.0
  2296. }
  2297. }
  2298. layer {
  2299. name: "Scale37"
  2300. type: "Scale"
  2301. bottom: "BatchNorm37"
  2302. top: "BatchNorm37"
  2303. scale_param {
  2304. filler {
  2305. value: 1.0
  2306. }
  2307. bias_term: true
  2308. bias_filler {
  2309. value: 0.0
  2310. }
  2311. }
  2312. }
  2313. layer {
  2314. name: "ReLU37"
  2315. type: "ReLU"
  2316. bottom: "BatchNorm37"
  2317. top: "BatchNorm37"
  2318. }
  2319. layer {
  2320. name: "Convolution36"
  2321. type: "Convolution"
  2322. bottom: "BatchNorm37"
  2323. top: "Convolution36"
  2324. convolution_param {
  2325. num_output: 48
  2326. bias_term: false
  2327. pad: 1
  2328. kernel_size: 3
  2329. stride: 1
  2330. weight_filler {
  2331. type: "xavier"
  2332. }
  2333. bias_filler {
  2334. type: "constant"
  2335. }
  2336. }
  2337. }
  2338. layer {
  2339. name: "Concat16"
  2340. type: "Concat"
  2341. bottom: "Concat15"
  2342. bottom: "Convolution36"
  2343. top: "Concat16"
  2344. concat_param {
  2345. axis: 1
  2346. }
  2347. }
  2348. layer {
  2349. name: "BatchNorm38"
  2350. type: "BatchNorm"
  2351. bottom: "Concat16"
  2352. top: "BatchNorm38"
  2353. param {
  2354. lr_mult: 0.0
  2355. decay_mult: 0.0
  2356. }
  2357. param {
  2358. lr_mult: 0.0
  2359. decay_mult: 0.0
  2360. }
  2361. param {
  2362. lr_mult: 0.0
  2363. decay_mult: 0.0
  2364. }
  2365. }
  2366. layer {
  2367. name: "Scale38"
  2368. type: "Scale"
  2369. bottom: "BatchNorm38"
  2370. top: "BatchNorm38"
  2371. scale_param {
  2372. filler {
  2373. value: 1.0
  2374. }
  2375. bias_term: true
  2376. bias_filler {
  2377. value: 0.0
  2378. }
  2379. }
  2380. }
  2381. layer {
  2382. name: "ReLU38"
  2383. type: "ReLU"
  2384. bottom: "BatchNorm38"
  2385. top: "BatchNorm38"
  2386. }
  2387. layer {
  2388. name: "Convolution37"
  2389. type: "Convolution"
  2390. bottom: "BatchNorm38"
  2391. top: "Convolution37"
  2392. convolution_param {
  2393. num_output: 192
  2394. bias_term: false
  2395. pad: 0
  2396. kernel_size: 1
  2397. stride: 1
  2398. weight_filler {
  2399. type: "xavier"
  2400. }
  2401. bias_filler {
  2402. type: "constant"
  2403. }
  2404. }
  2405. }
  2406. layer {
  2407. name: "BatchNorm39"
  2408. type: "BatchNorm"
  2409. bottom: "Convolution37"
  2410. top: "BatchNorm39"
  2411. param {
  2412. lr_mult: 0.0
  2413. decay_mult: 0.0
  2414. }
  2415. param {
  2416. lr_mult: 0.0
  2417. decay_mult: 0.0
  2418. }
  2419. param {
  2420. lr_mult: 0.0
  2421. decay_mult: 0.0
  2422. }
  2423. }
  2424. layer {
  2425. name: "Scale39"
  2426. type: "Scale"
  2427. bottom: "BatchNorm39"
  2428. top: "BatchNorm39"
  2429. scale_param {
  2430. filler {
  2431. value: 1.0
  2432. }
  2433. bias_term: true
  2434. bias_filler {
  2435. value: 0.0
  2436. }
  2437. }
  2438. }
  2439. layer {
  2440. name: "ReLU39"
  2441. type: "ReLU"
  2442. bottom: "BatchNorm39"
  2443. top: "BatchNorm39"
  2444. }
  2445. layer {
  2446. name: "Convolution38"
  2447. type: "Convolution"
  2448. bottom: "BatchNorm39"
  2449. top: "Convolution38"
  2450. convolution_param {
  2451. num_output: 48
  2452. bias_term: false
  2453. pad: 1
  2454. kernel_size: 3
  2455. stride: 1
  2456. weight_filler {
  2457. type: "xavier"
  2458. }
  2459. bias_filler {
  2460. type: "constant"
  2461. }
  2462. }
  2463. }
  2464. layer {
  2465. name: "Concat17"
  2466. type: "Concat"
  2467. bottom: "Concat16"
  2468. bottom: "Convolution38"
  2469. top: "Concat17"
  2470. concat_param {
  2471. axis: 1
  2472. }
  2473. }
  2474. layer {
  2475. name: "BatchNorm40"
  2476. type: "BatchNorm"
  2477. bottom: "Concat17"
  2478. top: "BatchNorm40"
  2479. param {
  2480. lr_mult: 0.0
  2481. decay_mult: 0.0
  2482. }
  2483. param {
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  2485. decay_mult: 0.0
  2486. }
  2487. param {
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  2489. decay_mult: 0.0
  2490. }
  2491. }
  2492. layer {
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  2494. type: "Scale"
  2495. bottom: "BatchNorm40"
  2496. top: "BatchNorm40"
  2497. scale_param {
  2498. filler {
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  2500. }
  2501. bias_term: true
  2502. bias_filler {
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  2504. }
  2505. }
  2506. }
  2507. layer {
  2508. name: "ReLU40"
  2509. type: "ReLU"
  2510. bottom: "BatchNorm40"
  2511. top: "BatchNorm40"
  2512. }
  2513. layer {
  2514. name: "Convolution39"
  2515. type: "Convolution"
  2516. bottom: "BatchNorm40"
  2517. top: "Convolution39"
  2518. convolution_param {
  2519. num_output: 192
  2520. bias_term: false
  2521. pad: 0
  2522. kernel_size: 1
  2523. stride: 1
  2524. weight_filler {
  2525. type: "xavier"
  2526. }
  2527. bias_filler {
  2528. type: "constant"
  2529. }
  2530. }
  2531. }
  2532. layer {
  2533. name: "BatchNorm41"
  2534. type: "BatchNorm"
  2535. bottom: "Convolution39"
  2536. top: "BatchNorm41"
  2537. param {
  2538. lr_mult: 0.0
  2539. decay_mult: 0.0
  2540. }
  2541. param {
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  2543. decay_mult: 0.0
  2544. }
  2545. param {
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  2547. decay_mult: 0.0
  2548. }
  2549. }
  2550. layer {
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  2552. type: "Scale"
  2553. bottom: "BatchNorm41"
  2554. top: "BatchNorm41"
  2555. scale_param {
  2556. filler {
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  2558. }
  2559. bias_term: true
  2560. bias_filler {
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  2562. }
  2563. }
  2564. }
  2565. layer {
  2566. name: "ReLU41"
  2567. type: "ReLU"
  2568. bottom: "BatchNorm41"
  2569. top: "BatchNorm41"
  2570. }
  2571. layer {
  2572. name: "Convolution40"
  2573. type: "Convolution"
  2574. bottom: "BatchNorm41"
  2575. top: "Convolution40"
  2576. convolution_param {
  2577. num_output: 48
  2578. bias_term: false
  2579. pad: 1
  2580. kernel_size: 3
  2581. stride: 1
  2582. weight_filler {
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  2584. }
  2585. bias_filler {
  2586. type: "constant"
  2587. }
  2588. }
  2589. }
  2590. layer {
  2591. name: "Concat18"
  2592. type: "Concat"
  2593. bottom: "Concat17"
  2594. bottom: "Convolution40"
  2595. top: "Concat18"
  2596. concat_param {
  2597. axis: 1
  2598. }
  2599. }
  2600. layer {
  2601. name: "BatchNorm42"
  2602. type: "BatchNorm"
  2603. bottom: "Concat18"
  2604. top: "BatchNorm42"
  2605. param {
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  2607. decay_mult: 0.0
  2608. }
  2609. param {
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  2611. decay_mult: 0.0
  2612. }
  2613. param {
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  2615. decay_mult: 0.0
  2616. }
  2617. }
  2618. layer {
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  2620. type: "Scale"
  2621. bottom: "BatchNorm42"
  2622. top: "BatchNorm42"
  2623. scale_param {
  2624. filler {
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  2627. bias_term: true
  2628. bias_filler {
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  2630. }
  2631. }
  2632. }
  2633. layer {
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  2635. type: "ReLU"
  2636. bottom: "BatchNorm42"
  2637. top: "BatchNorm42"
  2638. }
  2639. layer {
  2640. name: "Convolution41"
  2641. type: "Convolution"
  2642. bottom: "BatchNorm42"
  2643. top: "Convolution41"
  2644. convolution_param {
  2645. num_output: 192
  2646. bias_term: false
  2647. pad: 0
  2648. kernel_size: 1
  2649. stride: 1
  2650. weight_filler {
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  2652. }
  2653. bias_filler {
  2654. type: "constant"
  2655. }
  2656. }
  2657. }
  2658. layer {
  2659. name: "BatchNorm43"
  2660. type: "BatchNorm"
  2661. bottom: "Convolution41"
  2662. top: "BatchNorm43"
  2663. param {
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  2665. decay_mult: 0.0
  2666. }
  2667. param {
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  2669. decay_mult: 0.0
  2670. }
  2671. param {
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  2673. decay_mult: 0.0
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  2675. }
  2676. layer {
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  2678. type: "Scale"
  2679. bottom: "BatchNorm43"
  2680. top: "BatchNorm43"
  2681. scale_param {
  2682. filler {
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  2685. bias_term: true
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  2691. layer {
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  2693. type: "ReLU"
  2694. bottom: "BatchNorm43"
  2695. top: "BatchNorm43"
  2696. }
  2697. layer {
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  2699. type: "Convolution"
  2700. bottom: "BatchNorm43"
  2701. top: "Convolution42"
  2702. convolution_param {
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  2704. bias_term: false
  2705. pad: 1
  2706. kernel_size: 3
  2707. stride: 1
  2708. weight_filler {
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  2710. }
  2711. bias_filler {
  2712. type: "constant"
  2713. }
  2714. }
  2715. }
  2716. layer {
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  2718. type: "Concat"
  2719. bottom: "Concat18"
  2720. bottom: "Convolution42"
  2721. top: "Concat19"
  2722. concat_param {
  2723. axis: 1
  2724. }
  2725. }
  2726. layer {
  2727. name: "BatchNorm44"
  2728. type: "BatchNorm"
  2729. bottom: "Concat19"
  2730. top: "BatchNorm44"
  2731. param {
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  2733. decay_mult: 0.0
  2734. }
  2735. param {
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  2737. decay_mult: 0.0
  2738. }
  2739. param {
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  2741. decay_mult: 0.0
  2742. }
  2743. }
  2744. layer {
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  2746. type: "Scale"
  2747. bottom: "BatchNorm44"
  2748. top: "BatchNorm44"
  2749. scale_param {
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  2753. bias_term: true
  2754. bias_filler {
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  2757. }
  2758. }
  2759. layer {
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  2761. type: "ReLU"
  2762. bottom: "BatchNorm44"
  2763. top: "BatchNorm44"
  2764. }
  2765. layer {
  2766. name: "Convolution43"
  2767. type: "Convolution"
  2768. bottom: "BatchNorm44"
  2769. top: "Convolution43"
  2770. convolution_param {
  2771. num_output: 192
  2772. bias_term: false
  2773. pad: 0
  2774. kernel_size: 1
  2775. stride: 1
  2776. weight_filler {
  2777. type: "xavier"
  2778. }
  2779. bias_filler {
  2780. type: "constant"
  2781. }
  2782. }
  2783. }
  2784. layer {
  2785. name: "BatchNorm45"
  2786. type: "BatchNorm"
  2787. bottom: "Convolution43"
  2788. top: "BatchNorm45"
  2789. param {
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  2791. decay_mult: 0.0
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  2793. param {
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  2797. param {
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  2799. decay_mult: 0.0
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  2801. }
  2802. layer {
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  2804. type: "Scale"
  2805. bottom: "BatchNorm45"
  2806. top: "BatchNorm45"
  2807. scale_param {
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  2811. bias_term: true
  2812. bias_filler {
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  2815. }
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  2817. layer {
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  2819. type: "ReLU"
  2820. bottom: "BatchNorm45"
  2821. top: "BatchNorm45"
  2822. }
  2823. layer {
  2824. name: "Convolution44"
  2825. type: "Convolution"
  2826. bottom: "BatchNorm45"
  2827. top: "Convolution44"
  2828. convolution_param {
  2829. num_output: 48
  2830. bias_term: false
  2831. pad: 1
  2832. kernel_size: 3
  2833. stride: 1
  2834. weight_filler {
  2835. type: "xavier"
  2836. }
  2837. bias_filler {
  2838. type: "constant"
  2839. }
  2840. }
  2841. }
  2842. layer {
  2843. name: "Concat20"
  2844. type: "Concat"
  2845. bottom: "Concat19"
  2846. bottom: "Convolution44"
  2847. top: "Concat20"
  2848. concat_param {
  2849. axis: 1
  2850. }
  2851. }
  2852. layer {
  2853. name: "BatchNorm46"
  2854. type: "BatchNorm"
  2855. bottom: "Concat20"
  2856. top: "BatchNorm46"
  2857. param {
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  2859. decay_mult: 0.0
  2860. }
  2861. param {
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  2863. decay_mult: 0.0
  2864. }
  2865. param {
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  2867. decay_mult: 0.0
  2868. }
  2869. }
  2870. layer {
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  2872. type: "Scale"
  2873. bottom: "BatchNorm46"
  2874. top: "BatchNorm46"
  2875. scale_param {
  2876. filler {
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  2879. bias_term: true
  2880. bias_filler {
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  2883. }
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  2885. layer {
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  2887. type: "ReLU"
  2888. bottom: "BatchNorm46"
  2889. top: "BatchNorm46"
  2890. }
  2891. layer {
  2892. name: "Convolution45"
  2893. type: "Convolution"
  2894. bottom: "BatchNorm46"
  2895. top: "Convolution45"
  2896. convolution_param {
  2897. num_output: 192
  2898. bias_term: false
  2899. pad: 0
  2900. kernel_size: 1
  2901. stride: 1
  2902. weight_filler {
  2903. type: "xavier"
  2904. }
  2905. bias_filler {
  2906. type: "constant"
  2907. }
  2908. }
  2909. }
  2910. layer {
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  2912. type: "BatchNorm"
  2913. bottom: "Convolution45"
  2914. top: "BatchNorm47"
  2915. param {
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  2917. decay_mult: 0.0
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  2919. param {
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  2922. }
  2923. param {
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  2925. decay_mult: 0.0
  2926. }
  2927. }
  2928. layer {
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  2930. type: "Scale"
  2931. bottom: "BatchNorm47"
  2932. top: "BatchNorm47"
  2933. scale_param {
  2934. filler {
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  2937. bias_term: true
  2938. bias_filler {
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  2941. }
  2942. }
  2943. layer {
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  2945. type: "ReLU"
  2946. bottom: "BatchNorm47"
  2947. top: "BatchNorm47"
  2948. }
  2949. layer {
  2950. name: "Convolution46"
  2951. type: "Convolution"
  2952. bottom: "BatchNorm47"
  2953. top: "Convolution46"
  2954. convolution_param {
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  2956. bias_term: false
  2957. pad: 1
  2958. kernel_size: 3
  2959. stride: 1
  2960. weight_filler {
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  2962. }
  2963. bias_filler {
  2964. type: "constant"
  2965. }
  2966. }
  2967. }
  2968. layer {
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  2970. type: "Concat"
  2971. bottom: "Concat20"
  2972. bottom: "Convolution46"
  2973. top: "Concat21"
  2974. concat_param {
  2975. axis: 1
  2976. }
  2977. }
  2978. layer {
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  2980. type: "BatchNorm"
  2981. bottom: "Concat21"
  2982. top: "BatchNorm48"
  2983. param {
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  2985. decay_mult: 0.0
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  2987. param {
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  2991. param {
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  2993. decay_mult: 0.0
  2994. }
  2995. }
  2996. layer {
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  2998. type: "Scale"
  2999. bottom: "BatchNorm48"
  3000. top: "BatchNorm48"
  3001. scale_param {
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  3005. bias_term: true
  3006. bias_filler {
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  3009. }
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  3011. layer {
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  3013. type: "ReLU"
  3014. bottom: "BatchNorm48"
  3015. top: "BatchNorm48"
  3016. }
  3017. layer {
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  3019. type: "Convolution"
  3020. bottom: "BatchNorm48"
  3021. top: "Convolution47"
  3022. convolution_param {
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  3024. bias_term: false
  3025. pad: 0
  3026. kernel_size: 1
  3027. stride: 1
  3028. weight_filler {
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  3030. }
  3031. bias_filler {
  3032. type: "constant"
  3033. }
  3034. }
  3035. }
  3036. layer {
  3037. name: "BatchNorm49"
  3038. type: "BatchNorm"
  3039. bottom: "Convolution47"
  3040. top: "BatchNorm49"
  3041. param {
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  3043. decay_mult: 0.0
  3044. }
  3045. param {
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  3048. }
  3049. param {
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  3051. decay_mult: 0.0
  3052. }
  3053. }
  3054. layer {
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  3056. type: "Scale"
  3057. bottom: "BatchNorm49"
  3058. top: "BatchNorm49"
  3059. scale_param {
  3060. filler {
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  3063. bias_term: true
  3064. bias_filler {
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  3066. }
  3067. }
  3068. }
  3069. layer {
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  3071. type: "ReLU"
  3072. bottom: "BatchNorm49"
  3073. top: "BatchNorm49"
  3074. }
  3075. layer {
  3076. name: "Convolution48"
  3077. type: "Convolution"
  3078. bottom: "BatchNorm49"
  3079. top: "Convolution48"
  3080. convolution_param {
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  3082. bias_term: false
  3083. pad: 1
  3084. kernel_size: 3
  3085. stride: 1
  3086. weight_filler {
  3087. type: "xavier"
  3088. }
  3089. bias_filler {
  3090. type: "constant"
  3091. }
  3092. }
  3093. }
  3094. layer {
  3095. name: "Concat22"
  3096. type: "Concat"
  3097. bottom: "Concat21"
  3098. bottom: "Convolution48"
  3099. top: "Concat22"
  3100. concat_param {
  3101. axis: 1
  3102. }
  3103. }
  3104. layer {
  3105. name: "BatchNorm50"
  3106. type: "BatchNorm"
  3107. bottom: "Concat22"
  3108. top: "BatchNorm50"
  3109. param {
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  3111. decay_mult: 0.0
  3112. }
  3113. param {
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  3116. }
  3117. param {
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  3119. decay_mult: 0.0
  3120. }
  3121. }
  3122. layer {
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  3124. type: "Scale"
  3125. bottom: "BatchNorm50"
  3126. top: "BatchNorm50"
  3127. scale_param {
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  3131. bias_term: true
  3132. bias_filler {
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  3134. }
  3135. }
  3136. }
  3137. layer {
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  3139. type: "ReLU"
  3140. bottom: "BatchNorm50"
  3141. top: "ReLU50"
  3142. }
  3143. layer {
  3144. name: "Convolution49"
  3145. type: "Convolution"
  3146. bottom: "ReLU50"
  3147. top: "Convolution49"
  3148. convolution_param {
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  3150. bias_term: false
  3151. pad: 0
  3152. kernel_size: 1
  3153. stride: 1
  3154. weight_filler {
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  3156. }
  3157. bias_filler {
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  3159. }
  3160. }
  3161. }
  3162. layer {
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  3164. type: "BatchNorm"
  3165. bottom: "Convolution49"
  3166. top: "BatchNorm51"
  3167. param {
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  3169. decay_mult: 0.0
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  3171. param {
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  3175. param {
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  3179. }
  3180. layer {
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  3182. type: "Scale"
  3183. bottom: "BatchNorm51"
  3184. top: "BatchNorm51"
  3185. scale_param {
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  3189. bias_term: true
  3190. bias_filler {
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  3193. }
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  3195. layer {
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  3197. type: "ReLU"
  3198. bottom: "BatchNorm51"
  3199. top: "BatchNorm51"
  3200. }
  3201. layer {
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  3203. type: "Convolution"
  3204. bottom: "BatchNorm51"
  3205. top: "Convolution50"
  3206. convolution_param {
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  3208. bias_term: false
  3209. pad: 0
  3210. kernel_size: 1
  3211. stride: 1
  3212. weight_filler {
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  3214. }
  3215. bias_filler {
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  3217. }
  3218. }
  3219. }
  3220. layer {
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  3222. type: "BatchNorm"
  3223. bottom: "Convolution50"
  3224. top: "BatchNorm52"
  3225. param {
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  3227. decay_mult: 0.0
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  3229. param {
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  3233. param {
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  3235. decay_mult: 0.0
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  3237. }
  3238. layer {
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  3240. type: "Scale"
  3241. bottom: "BatchNorm52"
  3242. top: "BatchNorm52"
  3243. scale_param {
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  3247. bias_term: true
  3248. bias_filler {
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  3253. layer {
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  3255. type: "ReLU"
  3256. bottom: "BatchNorm52"
  3257. top: "BatchNorm52"
  3258. }
  3259. layer {
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  3261. type: "Convolution"
  3262. bottom: "BatchNorm52"
  3263. top: "Convolution51"
  3264. convolution_param {
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  3266. bias_term: false
  3267. pad: 1
  3268. kernel_size: 3
  3269. stride: 1
  3270. weight_filler {
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  3273. bias_filler {
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  3275. }
  3276. }
  3277. }
  3278. layer {
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  3280. type: "Concat"
  3281. bottom: "Convolution49"
  3282. bottom: "Convolution51"
  3283. top: "Concat23"
  3284. concat_param {
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  3286. }
  3287. }
  3288. layer {
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  3290. type: "BatchNorm"
  3291. bottom: "Concat23"
  3292. top: "BatchNorm53"
  3293. param {
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  3295. decay_mult: 0.0
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  3306. layer {
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  3308. type: "Scale"
  3309. bottom: "BatchNorm53"
  3310. top: "BatchNorm53"
  3311. scale_param {
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  3315. bias_term: true
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  3319. }
  3320. }
  3321. layer {
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  3323. type: "ReLU"
  3324. bottom: "BatchNorm53"
  3325. top: "BatchNorm53"
  3326. }
  3327. layer {
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  3329. type: "Convolution"
  3330. bottom: "BatchNorm53"
  3331. top: "Convolution52"
  3332. convolution_param {
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  3334. bias_term: false
  3335. pad: 0
  3336. kernel_size: 1
  3337. stride: 1
  3338. weight_filler {
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  3340. }
  3341. bias_filler {
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  3343. }
  3344. }
  3345. }
  3346. layer {
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  3348. type: "BatchNorm"
  3349. bottom: "Convolution52"
  3350. top: "BatchNorm54"
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  3353. decay_mult: 0.0
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  3364. layer {
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  3366. type: "Scale"
  3367. bottom: "BatchNorm54"
  3368. top: "BatchNorm54"
  3369. scale_param {
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  3379. layer {
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  3381. type: "ReLU"
  3382. bottom: "BatchNorm54"
  3383. top: "BatchNorm54"
  3384. }
  3385. layer {
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  3387. type: "Convolution"
  3388. bottom: "BatchNorm54"
  3389. top: "Convolution53"
  3390. convolution_param {
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  3392. bias_term: false
  3393. pad: 1
  3394. kernel_size: 3
  3395. stride: 1
  3396. weight_filler {
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  3399. bias_filler {
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  3401. }
  3402. }
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  3406. type: "Concat"
  3407. bottom: "Concat23"
  3408. bottom: "Convolution53"
  3409. top: "Concat24"
  3410. concat_param {
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  3412. }
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  3414. layer {
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  3416. type: "BatchNorm"
  3417. bottom: "Concat24"
  3418. top: "BatchNorm55"
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  3429. decay_mult: 0.0
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  3434. type: "Scale"
  3435. bottom: "BatchNorm55"
  3436. top: "BatchNorm55"
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  3447. layer {
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  3449. type: "ReLU"
  3450. bottom: "BatchNorm55"
  3451. top: "BatchNorm55"
  3452. }
  3453. layer {
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  3455. type: "Convolution"
  3456. bottom: "BatchNorm55"
  3457. top: "Convolution54"
  3458. convolution_param {
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  3460. bias_term: false
  3461. pad: 0
  3462. kernel_size: 1
  3463. stride: 1
  3464. weight_filler {
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  3467. bias_filler {
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  3469. }
  3470. }
  3471. }
  3472. layer {
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  3474. type: "BatchNorm"
  3475. bottom: "Convolution54"
  3476. top: "BatchNorm56"
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  3479. decay_mult: 0.0
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  3492. type: "Scale"
  3493. bottom: "BatchNorm56"
  3494. top: "BatchNorm56"
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  3507. type: "ReLU"
  3508. bottom: "BatchNorm56"
  3509. top: "BatchNorm56"
  3510. }
  3511. layer {
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  3513. type: "Convolution"
  3514. bottom: "BatchNorm56"
  3515. top: "Convolution55"
  3516. convolution_param {
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  3518. bias_term: false
  3519. pad: 1
  3520. kernel_size: 3
  3521. stride: 1
  3522. weight_filler {
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  3524. }
  3525. bias_filler {
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  3527. }
  3528. }
  3529. }
  3530. layer {
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  3532. type: "Concat"
  3533. bottom: "Concat24"
  3534. bottom: "Convolution55"
  3535. top: "Concat25"
  3536. concat_param {
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  3538. }
  3539. }
  3540. layer {
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  3542. type: "BatchNorm"
  3543. bottom: "Concat25"
  3544. top: "BatchNorm57"
  3545. param {
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  3547. decay_mult: 0.0
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  3558. layer {
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  3560. type: "Scale"
  3561. bottom: "BatchNorm57"
  3562. top: "BatchNorm57"
  3563. scale_param {
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  3567. bias_term: true
  3568. bias_filler {
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  3573. layer {
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  3575. type: "ReLU"
  3576. bottom: "BatchNorm57"
  3577. top: "BatchNorm57"
  3578. }
  3579. layer {
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  3581. type: "Convolution"
  3582. bottom: "BatchNorm57"
  3583. top: "Convolution56"
  3584. convolution_param {
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  3586. bias_term: false
  3587. pad: 0
  3588. kernel_size: 1
  3589. stride: 1
  3590. weight_filler {
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  3593. bias_filler {
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  3595. }
  3596. }
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  3598. layer {
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  3600. type: "BatchNorm"
  3601. bottom: "Convolution56"
  3602. top: "BatchNorm58"
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  3611. param {
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  3613. decay_mult: 0.0
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  3616. layer {
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  3618. type: "Scale"
  3619. bottom: "BatchNorm58"
  3620. top: "BatchNorm58"
  3621. scale_param {
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  3625. bias_term: true
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  3631. layer {
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  3633. type: "ReLU"
  3634. bottom: "BatchNorm58"
  3635. top: "BatchNorm58"
  3636. }
  3637. layer {
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  3639. type: "Convolution"
  3640. bottom: "BatchNorm58"
  3641. top: "Convolution57"
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  3644. bias_term: false
  3645. pad: 1
  3646. kernel_size: 3
  3647. stride: 1
  3648. weight_filler {
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  3651. bias_filler {
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  3653. }
  3654. }
  3655. }
  3656. layer {
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  3658. type: "Concat"
  3659. bottom: "Concat25"
  3660. bottom: "Convolution57"
  3661. top: "Concat26"
  3662. concat_param {
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  3665. }
  3666. layer {
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  3668. type: "BatchNorm"
  3669. bottom: "Concat26"
  3670. top: "BatchNorm59"
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  3675. param {
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  3679. param {
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  3684. layer {
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  3686. type: "Scale"
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  3688. top: "BatchNorm59"
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  3693. bias_term: true
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  3699. layer {
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  3701. type: "ReLU"
  3702. bottom: "BatchNorm59"
  3703. top: "BatchNorm59"
  3704. }
  3705. layer {
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  3707. type: "Convolution"
  3708. bottom: "BatchNorm59"
  3709. top: "Convolution58"
  3710. convolution_param {
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  3712. bias_term: false
  3713. pad: 0
  3714. kernel_size: 1
  3715. stride: 1
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  3719. bias_filler {
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  3721. }
  3722. }
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  3724. layer {
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  3726. type: "BatchNorm"
  3727. bottom: "Convolution58"
  3728. top: "BatchNorm60"
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  3731. decay_mult: 0.0
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  3733. param {
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  3742. layer {
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  3744. type: "Scale"
  3745. bottom: "BatchNorm60"
  3746. top: "BatchNorm60"
  3747. scale_param {
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  3759. type: "ReLU"
  3760. bottom: "BatchNorm60"
  3761. top: "BatchNorm60"
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  3763. layer {
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  3765. type: "Convolution"
  3766. bottom: "BatchNorm60"
  3767. top: "Convolution59"
  3768. convolution_param {
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  3770. bias_term: false
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  3772. kernel_size: 3
  3773. stride: 1
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  3777. bias_filler {
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  3779. }
  3780. }
  3781. }
  3782. layer {
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  3784. type: "Concat"
  3785. bottom: "Concat26"
  3786. bottom: "Convolution59"
  3787. top: "Concat27"
  3788. concat_param {
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  3792. layer {
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  3794. type: "BatchNorm"
  3795. bottom: "Concat27"
  3796. top: "BatchNorm61"
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  3801. param {
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  3810. layer {
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  3812. type: "Scale"
  3813. bottom: "BatchNorm61"
  3814. top: "BatchNorm61"
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  3819. bias_term: true
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  3825. layer {
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  3827. type: "ReLU"
  3828. bottom: "BatchNorm61"
  3829. top: "BatchNorm61"
  3830. }
  3831. layer {
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  3833. type: "Convolution"
  3834. bottom: "BatchNorm61"
  3835. top: "Convolution60"
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  3838. bias_term: false
  3839. pad: 0
  3840. kernel_size: 1
  3841. stride: 1
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  3845. bias_filler {
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  3848. }
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  3850. layer {
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  3852. type: "BatchNorm"
  3853. bottom: "Convolution60"
  3854. top: "BatchNorm62"
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  3859. param {
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  3863. param {
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  3868. layer {
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  3870. type: "Scale"
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  3872. top: "BatchNorm62"
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  3883. layer {
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  3886. bottom: "BatchNorm62"
  3887. top: "BatchNorm62"
  3888. }
  3889. layer {
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  3891. type: "Convolution"
  3892. bottom: "BatchNorm62"
  3893. top: "Convolution61"
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  3896. bias_term: false
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  3898. kernel_size: 3
  3899. stride: 1
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  3905. }
  3906. }
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  3908. layer {
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  3910. type: "Concat"
  3911. bottom: "Concat27"
  3912. bottom: "Convolution61"
  3913. top: "Concat28"
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  3918. layer {
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  3920. type: "BatchNorm"
  3921. bottom: "Concat28"
  3922. top: "BatchNorm63"
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  3931. param {
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  3936. layer {
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  3938. type: "Scale"
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  3940. top: "BatchNorm63"
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  3953. type: "ReLU"
  3954. bottom: "BatchNorm63"
  3955. top: "BatchNorm63"
  3956. }
  3957. layer {
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  3959. type: "Convolution"
  3960. bottom: "BatchNorm63"
  3961. top: "Convolution62"
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  3964. bias_term: false
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  3967. stride: 1
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  3973. }
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  3978. type: "BatchNorm"
  3979. bottom: "Convolution62"
  3980. top: "BatchNorm64"
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  3998. top: "BatchNorm64"
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  4013. top: "BatchNorm64"
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  4015. layer {
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  4019. top: "Convolution63"
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  4022. bias_term: false
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  4024. kernel_size: 3
  4025. stride: 1
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  4029. bias_filler {
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  4034. layer {
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  4036. type: "Concat"
  4037. bottom: "Concat28"
  4038. bottom: "Convolution63"
  4039. top: "Concat29"
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  4043. }
  4044. layer {
  4045. name: "BatchNorm65"
  4046. type: "BatchNorm"
  4047. bottom: "Concat29"
  4048. top: "BatchNorm65"
  4049. param {
  4050. lr_mult: 0.0
  4051. decay_mult: 0.0
  4052. }
  4053. param {
  4054. lr_mult: 0.0
  4055. decay_mult: 0.0
  4056. }
  4057. param {
  4058. lr_mult: 0.0
  4059. decay_mult: 0.0
  4060. }
  4061. }
  4062. layer {
  4063. name: "Scale65"
  4064. type: "Scale"
  4065. bottom: "BatchNorm65"
  4066. top: "BatchNorm65"
  4067. scale_param {
  4068. filler {
  4069. value: 1.0
  4070. }
  4071. bias_term: true
  4072. bias_filler {
  4073. value: 0.0
  4074. }
  4075. }
  4076. }
  4077. layer {
  4078. name: "ReLU65"
  4079. type: "ReLU"
  4080. bottom: "BatchNorm65"
  4081. top: "BatchNorm65"
  4082. }
  4083. layer {
  4084. name: "Convolution64"
  4085. type: "Convolution"
  4086. bottom: "BatchNorm65"
  4087. top: "Convolution64"
  4088. convolution_param {
  4089. num_output: 192
  4090. bias_term: false
  4091. pad: 0
  4092. kernel_size: 1
  4093. stride: 1
  4094. weight_filler {
  4095. type: "xavier"
  4096. }
  4097. bias_filler {
  4098. type: "constant"
  4099. }
  4100. }
  4101. }
  4102. layer {
  4103. name: "BatchNorm66"
  4104. type: "BatchNorm"
  4105. bottom: "Convolution64"
  4106. top: "BatchNorm66"
  4107. param {
  4108. lr_mult: 0.0
  4109. decay_mult: 0.0
  4110. }
  4111. param {
  4112. lr_mult: 0.0
  4113. decay_mult: 0.0
  4114. }
  4115. param {
  4116. lr_mult: 0.0
  4117. decay_mult: 0.0
  4118. }
  4119. }
  4120. layer {
  4121. name: "Scale66"
  4122. type: "Scale"
  4123. bottom: "BatchNorm66"
  4124. top: "BatchNorm66"
  4125. scale_param {
  4126. filler {
  4127. value: 1.0
  4128. }
  4129. bias_term: true
  4130. bias_filler {
  4131. value: 0.0
  4132. }
  4133. }
  4134. }
  4135. layer {
  4136. name: "ReLU66"
  4137. type: "ReLU"
  4138. bottom: "BatchNorm66"
  4139. top: "BatchNorm66"
  4140. }
  4141. layer {
  4142. name: "Convolution65"
  4143. type: "Convolution"
  4144. bottom: "BatchNorm66"
  4145. top: "Convolution65"
  4146. convolution_param {
  4147. num_output: 48
  4148. bias_term: false
  4149. pad: 1
  4150. kernel_size: 3
  4151. stride: 1
  4152. weight_filler {
  4153. type: "xavier"
  4154. }
  4155. bias_filler {
  4156. type: "constant"
  4157. }
  4158. }
  4159. }
  4160. layer {
  4161. name: "Concat30"
  4162. type: "Concat"
  4163. bottom: "Concat29"
  4164. bottom: "Convolution65"
  4165. top: "Concat30"
  4166. concat_param {
  4167. axis: 1
  4168. }
  4169. }
  4170. layer {
  4171. name: "BatchNorm67"
  4172. type: "BatchNorm"
  4173. bottom: "Concat30"
  4174. top: "BatchNorm67"
  4175. param {
  4176. lr_mult: 0.0
  4177. decay_mult: 0.0
  4178. }
  4179. param {
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  4181. decay_mult: 0.0
  4182. }
  4183. param {
  4184. lr_mult: 0.0
  4185. decay_mult: 0.0
  4186. }
  4187. }
  4188. layer {
  4189. name: "Scale67"
  4190. type: "Scale"
  4191. bottom: "BatchNorm67"
  4192. top: "BatchNorm67"
  4193. scale_param {
  4194. filler {
  4195. value: 1.0
  4196. }
  4197. bias_term: true
  4198. bias_filler {
  4199. value: 0.0
  4200. }
  4201. }
  4202. }
  4203. layer {
  4204. name: "ReLU67"
  4205. type: "ReLU"
  4206. bottom: "BatchNorm67"
  4207. top: "ReLU67"
  4208. }
  4209. layer {
  4210. name: "Convolution66"
  4211. type: "Convolution"
  4212. bottom: "ReLU67"
  4213. top: "Convolution66"
  4214. convolution_param {
  4215. num_output: 256
  4216. bias_term: false
  4217. pad: 0
  4218. kernel_size: 1
  4219. stride: 1
  4220. weight_filler {
  4221. type: "xavier"
  4222. }
  4223. bias_filler {
  4224. type: "constant"
  4225. }
  4226. }
  4227. }
  4228. layer {
  4229. name: "Pooling4"
  4230. type: "Pooling"
  4231. bottom: "First"
  4232. top: "Pooling4"
  4233. pooling_param {
  4234. pool: MAX
  4235. kernel_size: 2
  4236. stride: 2
  4237. }
  4238. }
  4239. layer {
  4240. name: "BatchNorm68"
  4241. type: "BatchNorm"
  4242. bottom: "Pooling4"
  4243. top: "BatchNorm68"
  4244. param {
  4245. lr_mult: 0.0
  4246. decay_mult: 0.0
  4247. }
  4248. param {
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  4250. decay_mult: 0.0
  4251. }
  4252. param {
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  4254. decay_mult: 0.0
  4255. }
  4256. }
  4257. layer {
  4258. name: "Scale68"
  4259. type: "Scale"
  4260. bottom: "BatchNorm68"
  4261. top: "BatchNorm68"
  4262. scale_param {
  4263. filler {
  4264. value: 1.0
  4265. }
  4266. bias_term: true
  4267. bias_filler {
  4268. value: 0.0
  4269. }
  4270. }
  4271. }
  4272. layer {
  4273. name: "ReLU68"
  4274. type: "ReLU"
  4275. bottom: "BatchNorm68"
  4276. top: "BatchNorm68"
  4277. }
  4278. layer {
  4279. name: "Convolution67"
  4280. type: "Convolution"
  4281. bottom: "BatchNorm68"
  4282. top: "Convolution67"
  4283. convolution_param {
  4284. num_output: 256
  4285. bias_term: false
  4286. pad: 0
  4287. kernel_size: 1
  4288. stride: 1
  4289. weight_filler {
  4290. type: "xavier"
  4291. }
  4292. bias_filler {
  4293. type: "constant"
  4294. }
  4295. }
  4296. }
  4297. layer {
  4298. name: "Second"
  4299. type: "Concat"
  4300. bottom: "Convolution66"
  4301. bottom: "Convolution67"
  4302. top: "Second"
  4303. concat_param {
  4304. axis: 1
  4305. }
  4306. }
  4307. layer {
  4308. name: "Pooling5"
  4309. type: "Pooling"
  4310. bottom: "Second"
  4311. top: "Pooling5"
  4312. pooling_param {
  4313. pool: MAX
  4314. kernel_size: 2
  4315. stride: 2
  4316. }
  4317. }
  4318. layer {
  4319. name: "BatchNorm69"
  4320. type: "BatchNorm"
  4321. bottom: "Pooling5"
  4322. top: "BatchNorm69"
  4323. param {
  4324. lr_mult: 0.0
  4325. decay_mult: 0.0
  4326. }
  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. }
  4336. layer {
  4337. name: "Scale69"
  4338. type: "Scale"
  4339. bottom: "BatchNorm69"
  4340. top: "BatchNorm69"
  4341. scale_param {
  4342. filler {
  4343. value: 1.0
  4344. }
  4345. bias_term: true
  4346. bias_filler {
  4347. value: 0.0
  4348. }
  4349. }
  4350. }
  4351. layer {
  4352. name: "ReLU69"
  4353. type: "ReLU"
  4354. bottom: "BatchNorm69"
  4355. top: "BatchNorm69"
  4356. }
  4357. layer {
  4358. name: "Convolution68"
  4359. type: "Convolution"
  4360. bottom: "BatchNorm69"
  4361. top: "Convolution68"
  4362. convolution_param {
  4363. num_output: 256
  4364. bias_term: false
  4365. pad: 0
  4366. kernel_size: 1
  4367. stride: 1
  4368. weight_filler {
  4369. type: "xavier"
  4370. }
  4371. bias_filler {
  4372. type: "constant"
  4373. }
  4374. }
  4375. }
  4376. layer {
  4377. name: "BatchNorm70"
  4378. type: "BatchNorm"
  4379. bottom: "Second"
  4380. top: "BatchNorm70"
  4381. param {
  4382. lr_mult: 0.0
  4383. decay_mult: 0.0
  4384. }
  4385. param {
  4386. lr_mult: 0.0
  4387. decay_mult: 0.0
  4388. }
  4389. param {
  4390. lr_mult: 0.0
  4391. decay_mult: 0.0
  4392. }
  4393. }
  4394. layer {
  4395. name: "Scale70"
  4396. type: "Scale"
  4397. bottom: "BatchNorm70"
  4398. top: "BatchNorm70"
  4399. scale_param {
  4400. filler {
  4401. value: 1.0
  4402. }
  4403. bias_term: true
  4404. bias_filler {
  4405. value: 0.0
  4406. }
  4407. }
  4408. }
  4409. layer {
  4410. name: "ReLU70"
  4411. type: "ReLU"
  4412. bottom: "BatchNorm70"
  4413. top: "BatchNorm70"
  4414. }
  4415. layer {
  4416. name: "Convolution69"
  4417. type: "Convolution"
  4418. bottom: "BatchNorm70"
  4419. top: "Convolution69"
  4420. convolution_param {
  4421. num_output: 256
  4422. bias_term: false
  4423. pad: 0
  4424. kernel_size: 1
  4425. stride: 1
  4426. weight_filler {
  4427. type: "xavier"
  4428. }
  4429. bias_filler {
  4430. type: "constant"
  4431. }
  4432. }
  4433. }
  4434. layer {
  4435. name: "BatchNorm71"
  4436. type: "BatchNorm"
  4437. bottom: "Convolution69"
  4438. top: "BatchNorm71"
  4439. param {
  4440. lr_mult: 0.0
  4441. decay_mult: 0.0
  4442. }
  4443. param {
  4444. lr_mult: 0.0
  4445. decay_mult: 0.0
  4446. }
  4447. param {
  4448. lr_mult: 0.0
  4449. decay_mult: 0.0
  4450. }
  4451. }
  4452. layer {
  4453. name: "Scale71"
  4454. type: "Scale"
  4455. bottom: "BatchNorm71"
  4456. top: "BatchNorm71"
  4457. scale_param {
  4458. filler {
  4459. value: 1.0
  4460. }
  4461. bias_term: true
  4462. bias_filler {
  4463. value: 0.0
  4464. }
  4465. }
  4466. }
  4467. layer {
  4468. name: "ReLU71"
  4469. type: "ReLU"
  4470. bottom: "BatchNorm71"
  4471. top: "BatchNorm71"
  4472. }
  4473. layer {
  4474. name: "Convolution70"
  4475. type: "Convolution"
  4476. bottom: "BatchNorm71"
  4477. top: "Convolution70"
  4478. convolution_param {
  4479. num_output: 256
  4480. bias_term: false
  4481. pad: 1
  4482. kernel_size: 3
  4483. stride: 2
  4484. weight_filler {
  4485. type: "xavier"
  4486. }
  4487. bias_filler {
  4488. type: "constant"
  4489. }
  4490. }
  4491. }
  4492. layer {
  4493. name: "Third"
  4494. type: "Concat"
  4495. bottom: "Convolution68"
  4496. bottom: "Convolution70"
  4497. top: "Third"
  4498. concat_param {
  4499. axis: 1
  4500. }
  4501. }
  4502. layer {
  4503. name: "Pooling6"
  4504. type: "Pooling"
  4505. bottom: "Third"
  4506. top: "Pooling6"
  4507. pooling_param {
  4508. pool: MAX
  4509. kernel_size: 2
  4510. stride: 2
  4511. }
  4512. }
  4513. layer {
  4514. name: "BatchNorm72"
  4515. type: "BatchNorm"
  4516. bottom: "Pooling6"
  4517. top: "BatchNorm72"
  4518. param {
  4519. lr_mult: 0.0
  4520. decay_mult: 0.0
  4521. }
  4522. param {
  4523. lr_mult: 0.0
  4524. decay_mult: 0.0
  4525. }
  4526. param {
  4527. lr_mult: 0.0
  4528. decay_mult: 0.0
  4529. }
  4530. }
  4531. layer {
  4532. name: "Scale72"
  4533. type: "Scale"
  4534. bottom: "BatchNorm72"
  4535. top: "BatchNorm72"
  4536. scale_param {
  4537. filler {
  4538. value: 1.0
  4539. }
  4540. bias_term: true
  4541. bias_filler {
  4542. value: 0.0
  4543. }
  4544. }
  4545. }
  4546. layer {
  4547. name: "ReLU72"
  4548. type: "ReLU"
  4549. bottom: "BatchNorm72"
  4550. top: "BatchNorm72"
  4551. }
  4552. layer {
  4553. name: "Convolution71"
  4554. type: "Convolution"
  4555. bottom: "BatchNorm72"
  4556. top: "Convolution71"
  4557. convolution_param {
  4558. num_output: 128
  4559. bias_term: false
  4560. pad: 0
  4561. kernel_size: 1
  4562. stride: 1
  4563. weight_filler {
  4564. type: "xavier"
  4565. }
  4566. bias_filler {
  4567. type: "constant"
  4568. }
  4569. }
  4570. }
  4571. layer {
  4572. name: "BatchNorm73"
  4573. type: "BatchNorm"
  4574. bottom: "Third"
  4575. top: "BatchNorm73"
  4576. param {
  4577. lr_mult: 0.0
  4578. decay_mult: 0.0
  4579. }
  4580. param {
  4581. lr_mult: 0.0
  4582. decay_mult: 0.0
  4583. }
  4584. param {
  4585. lr_mult: 0.0
  4586. decay_mult: 0.0
  4587. }
  4588. }
  4589. layer {
  4590. name: "Scale73"
  4591. type: "Scale"
  4592. bottom: "BatchNorm73"
  4593. top: "BatchNorm73"
  4594. scale_param {
  4595. filler {
  4596. value: 1.0
  4597. }
  4598. bias_term: true
  4599. bias_filler {
  4600. value: 0.0
  4601. }
  4602. }
  4603. }
  4604. layer {
  4605. name: "ReLU73"
  4606. type: "ReLU"
  4607. bottom: "BatchNorm73"
  4608. top: "BatchNorm73"
  4609. }
  4610. layer {
  4611. name: "Convolution72"
  4612. type: "Convolution"
  4613. bottom: "BatchNorm73"
  4614. top: "Convolution72"
  4615. convolution_param {
  4616. num_output: 128
  4617. bias_term: false
  4618. pad: 0
  4619. kernel_size: 1
  4620. stride: 1
  4621. weight_filler {
  4622. type: "xavier"
  4623. }
  4624. bias_filler {
  4625. type: "constant"
  4626. }
  4627. }
  4628. }
  4629. layer {
  4630. name: "BatchNorm74"
  4631. type: "BatchNorm"
  4632. bottom: "Convolution72"
  4633. top: "BatchNorm74"
  4634. param {
  4635. lr_mult: 0.0
  4636. decay_mult: 0.0
  4637. }
  4638. param {
  4639. lr_mult: 0.0
  4640. decay_mult: 0.0
  4641. }
  4642. param {
  4643. lr_mult: 0.0
  4644. decay_mult: 0.0
  4645. }
  4646. }
  4647. layer {
  4648. name: "Scale74"
  4649. type: "Scale"
  4650. bottom: "BatchNorm74"
  4651. top: "BatchNorm74"
  4652. scale_param {
  4653. filler {
  4654. value: 1.0
  4655. }
  4656. bias_term: true
  4657. bias_filler {
  4658. value: 0.0
  4659. }
  4660. }
  4661. }
  4662. layer {
  4663. name: "ReLU74"
  4664. type: "ReLU"
  4665. bottom: "BatchNorm74"
  4666. top: "BatchNorm74"
  4667. }
  4668. layer {
  4669. name: "Convolution73"
  4670. type: "Convolution"
  4671. bottom: "BatchNorm74"
  4672. top: "Convolution73"
  4673. convolution_param {
  4674. num_output: 128
  4675. bias_term: false
  4676. pad: 1
  4677. kernel_size: 3
  4678. stride: 2
  4679. weight_filler {
  4680. type: "xavier"
  4681. }
  4682. bias_filler {
  4683. type: "constant"
  4684. }
  4685. }
  4686. }
  4687. layer {
  4688. name: "Fourth"
  4689. type: "Concat"
  4690. bottom: "Convolution71"
  4691. bottom: "Convolution73"
  4692. top: "Fourth"
  4693. concat_param {
  4694. axis: 1
  4695. }
  4696. }
  4697. layer {
  4698. name: "Pooling7"
  4699. type: "Pooling"
  4700. bottom: "Fourth"
  4701. top: "Pooling7"
  4702. pooling_param {
  4703. pool: MAX
  4704. kernel_size: 2
  4705. stride: 2
  4706. }
  4707. }
  4708. layer {
  4709. name: "BatchNorm75"
  4710. type: "BatchNorm"
  4711. bottom: "Pooling7"
  4712. top: "BatchNorm75"
  4713. param {
  4714. lr_mult: 0.0
  4715. decay_mult: 0.0
  4716. }
  4717. param {
  4718. lr_mult: 0.0
  4719. decay_mult: 0.0
  4720. }
  4721. param {
  4722. lr_mult: 0.0
  4723. decay_mult: 0.0
  4724. }
  4725. }
  4726. layer {
  4727. name: "Scale75"
  4728. type: "Scale"
  4729. bottom: "BatchNorm75"
  4730. top: "BatchNorm75"
  4731. scale_param {
  4732. filler {
  4733. value: 1.0
  4734. }
  4735. bias_term: true
  4736. bias_filler {
  4737. value: 0.0
  4738. }
  4739. }
  4740. }
  4741. layer {
  4742. name: "ReLU75"
  4743. type: "ReLU"
  4744. bottom: "BatchNorm75"
  4745. top: "BatchNorm75"
  4746. }
  4747. layer {
  4748. name: "Convolution74"
  4749. type: "Convolution"
  4750. bottom: "BatchNorm75"
  4751. top: "Convolution74"
  4752. convolution_param {
  4753. num_output: 128
  4754. bias_term: false
  4755. pad: 0
  4756. kernel_size: 1
  4757. stride: 1
  4758. weight_filler {
  4759. type: "xavier"
  4760. }
  4761. bias_filler {
  4762. type: "constant"
  4763. }
  4764. }
  4765. }
  4766. layer {
  4767. name: "BatchNorm76"
  4768. type: "BatchNorm"
  4769. bottom: "Fourth"
  4770. top: "BatchNorm76"
  4771. param {
  4772. lr_mult: 0.0
  4773. decay_mult: 0.0
  4774. }
  4775. param {
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  4777. decay_mult: 0.0
  4778. }
  4779. param {
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  4781. decay_mult: 0.0
  4782. }
  4783. }
  4784. layer {
  4785. name: "Scale76"
  4786. type: "Scale"
  4787. bottom: "BatchNorm76"
  4788. top: "BatchNorm76"
  4789. scale_param {
  4790. filler {
  4791. value: 1.0
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  4793. bias_term: true
  4794. bias_filler {
  4795. value: 0.0
  4796. }
  4797. }
  4798. }
  4799. layer {
  4800. name: "ReLU76"
  4801. type: "ReLU"
  4802. bottom: "BatchNorm76"
  4803. top: "BatchNorm76"
  4804. }
  4805. layer {
  4806. name: "Convolution75"
  4807. type: "Convolution"
  4808. bottom: "BatchNorm76"
  4809. top: "Convolution75"
  4810. convolution_param {
  4811. num_output: 128
  4812. bias_term: false
  4813. pad: 0
  4814. kernel_size: 1
  4815. stride: 1
  4816. weight_filler {
  4817. type: "xavier"
  4818. }
  4819. bias_filler {
  4820. type: "constant"
  4821. }
  4822. }
  4823. }
  4824. layer {
  4825. name: "BatchNorm77"
  4826. type: "BatchNorm"
  4827. bottom: "Convolution75"
  4828. top: "BatchNorm77"
  4829. param {
  4830. lr_mult: 0.0
  4831. decay_mult: 0.0
  4832. }
  4833. param {
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  4835. decay_mult: 0.0
  4836. }
  4837. param {
  4838. lr_mult: 0.0
  4839. decay_mult: 0.0
  4840. }
  4841. }
  4842. layer {
  4843. name: "Scale77"
  4844. type: "Scale"
  4845. bottom: "BatchNorm77"
  4846. top: "BatchNorm77"
  4847. scale_param {
  4848. filler {
  4849. value: 1.0
  4850. }
  4851. bias_term: true
  4852. bias_filler {
  4853. value: 0.0
  4854. }
  4855. }
  4856. }
  4857. layer {
  4858. name: "ReLU77"
  4859. type: "ReLU"
  4860. bottom: "BatchNorm77"
  4861. top: "BatchNorm77"
  4862. }
  4863. layer {
  4864. name: "Convolution76"
  4865. type: "Convolution"
  4866. bottom: "BatchNorm77"
  4867. top: "Convolution76"
  4868. convolution_param {
  4869. num_output: 128
  4870. bias_term: false
  4871. pad: 1
  4872. kernel_size: 3
  4873. stride: 2
  4874. weight_filler {
  4875. type: "xavier"
  4876. }
  4877. bias_filler {
  4878. type: "constant"
  4879. }
  4880. }
  4881. }
  4882. layer {
  4883. name: "Fifth"
  4884. type: "Concat"
  4885. bottom: "Convolution74"
  4886. bottom: "Convolution76"
  4887. top: "Fifth"
  4888. concat_param {
  4889. axis: 1
  4890. }
  4891. }
  4892. layer {
  4893. name: "Pooling8"
  4894. type: "Pooling"
  4895. bottom: "Fifth"
  4896. top: "Pooling8"
  4897. pooling_param {
  4898. pool: MAX
  4899. kernel_size: 2
  4900. stride: 2
  4901. }
  4902. }
  4903. layer {
  4904. name: "BatchNorm78"
  4905. type: "BatchNorm"
  4906. bottom: "Pooling8"
  4907. top: "BatchNorm78"
  4908. param {
  4909. lr_mult: 0.0
  4910. decay_mult: 0.0
  4911. }
  4912. param {
  4913. lr_mult: 0.0
  4914. decay_mult: 0.0
  4915. }
  4916. param {
  4917. lr_mult: 0.0
  4918. decay_mult: 0.0
  4919. }
  4920. }
  4921. layer {
  4922. name: "Scale78"
  4923. type: "Scale"
  4924. bottom: "BatchNorm78"
  4925. top: "BatchNorm78"
  4926. scale_param {
  4927. filler {
  4928. value: 1.0
  4929. }
  4930. bias_term: true
  4931. bias_filler {
  4932. value: 0.0
  4933. }
  4934. }
  4935. }
  4936. layer {
  4937. name: "ReLU78"
  4938. type: "ReLU"
  4939. bottom: "BatchNorm78"
  4940. top: "BatchNorm78"
  4941. }
  4942. layer {
  4943. name: "Convolution77"
  4944. type: "Convolution"
  4945. bottom: "BatchNorm78"
  4946. top: "Convolution77"
  4947. convolution_param {
  4948. num_output: 128
  4949. bias_term: false
  4950. pad: 0
  4951. kernel_size: 1
  4952. stride: 1
  4953. weight_filler {
  4954. type: "xavier"
  4955. }
  4956. bias_filler {
  4957. type: "constant"
  4958. }
  4959. }
  4960. }
  4961. layer {
  4962. name: "BatchNorm79"
  4963. type: "BatchNorm"
  4964. bottom: "Fifth"
  4965. top: "BatchNorm79"
  4966. param {
  4967. lr_mult: 0.0
  4968. decay_mult: 0.0
  4969. }
  4970. param {
  4971. lr_mult: 0.0
  4972. decay_mult: 0.0
  4973. }
  4974. param {
  4975. lr_mult: 0.0
  4976. decay_mult: 0.0
  4977. }
  4978. }
  4979. layer {
  4980. name: "Scale79"
  4981. type: "Scale"
  4982. bottom: "BatchNorm79"
  4983. top: "BatchNorm79"
  4984. scale_param {
  4985. filler {
  4986. value: 1.0
  4987. }
  4988. bias_term: true
  4989. bias_filler {
  4990. value: 0.0
  4991. }
  4992. }
  4993. }
  4994. layer {
  4995. name: "ReLU79"
  4996. type: "ReLU"
  4997. bottom: "BatchNorm79"
  4998. top: "BatchNorm79"
  4999. }
  5000. layer {
  5001. name: "Convolution78"
  5002. type: "Convolution"
  5003. bottom: "BatchNorm79"
  5004. top: "Convolution78"
  5005. convolution_param {
  5006. num_output: 128
  5007. bias_term: false
  5008. pad: 0
  5009. kernel_size: 1
  5010. stride: 1
  5011. weight_filler {
  5012. type: "xavier"
  5013. }
  5014. bias_filler {
  5015. type: "constant"
  5016. }
  5017. }
  5018. }
  5019. layer {
  5020. name: "BatchNorm80"
  5021. type: "BatchNorm"
  5022. bottom: "Convolution78"
  5023. top: "BatchNorm80"
  5024. param {
  5025. lr_mult: 0.0
  5026. decay_mult: 0.0
  5027. }
  5028. param {
  5029. lr_mult: 0.0
  5030. decay_mult: 0.0
  5031. }
  5032. param {
  5033. lr_mult: 0.0
  5034. decay_mult: 0.0
  5035. }
  5036. }
  5037. layer {
  5038. name: "Scale80"
  5039. type: "Scale"
  5040. bottom: "BatchNorm80"
  5041. top: "BatchNorm80"
  5042. scale_param {
  5043. filler {
  5044. value: 1.0
  5045. }
  5046. bias_term: true
  5047. bias_filler {
  5048. value: 0.0
  5049. }
  5050. }
  5051. }
  5052. layer {
  5053. name: "ReLU80"
  5054. type: "ReLU"
  5055. bottom: "BatchNorm80"
  5056. top: "BatchNorm80"
  5057. }
  5058. layer {
  5059. name: "Convolution79"
  5060. type: "Convolution"
  5061. bottom: "BatchNorm80"
  5062. top: "Convolution79"
  5063. convolution_param {
  5064. num_output: 128
  5065. bias_term: false
  5066. pad: 1
  5067. kernel_size: 3
  5068. stride: 2
  5069. weight_filler {
  5070. type: "xavier"
  5071. }
  5072. bias_filler {
  5073. type: "constant"
  5074. }
  5075. }
  5076. }
  5077. layer {
  5078. name: "Sixth"
  5079. type: "Concat"
  5080. bottom: "Convolution77"
  5081. bottom: "Convolution79"
  5082. top: "Sixth"
  5083. concat_param {
  5084. axis: 1
  5085. }
  5086. }
  5087. layer {
  5088. name: "First_norm"
  5089. type: "Normalize"
  5090. bottom: "First"
  5091. top: "First_norm"
  5092. norm_param {
  5093. across_spatial: false
  5094. scale_filler {
  5095. type: "constant"
  5096. value: 20.0
  5097. }
  5098. channel_shared: false
  5099. }
  5100. }
  5101. layer {
  5102. name: "First_norm_mbox_loc"
  5103. type: "Convolution"
  5104. bottom: "First_norm"
  5105. top: "First_norm_mbox_loc"
  5106. param {
  5107. lr_mult: 1.0
  5108. decay_mult: 1.0
  5109. }
  5110. convolution_param {
  5111. num_output: 16
  5112. bias_term: false
  5113. pad: 1
  5114. kernel_size: 3
  5115. stride: 1
  5116. weight_filler {
  5117. type: "gaussian"
  5118. std: 0.00999999977648
  5119. }
  5120. }
  5121. }
  5122. layer {
  5123. name: "First_norm_mbox_loc_bn"
  5124. type: "BatchNorm"
  5125. bottom: "First_norm_mbox_loc"
  5126. top: "First_norm_mbox_loc"
  5127. param {
  5128. lr_mult: 0.0
  5129. decay_mult: 0.0
  5130. }
  5131. param {
  5132. lr_mult: 0.0
  5133. decay_mult: 0.0
  5134. }
  5135. param {
  5136. lr_mult: 0.0
  5137. decay_mult: 0.0
  5138. }
  5139. batch_norm_param {
  5140. moving_average_fraction: 0.999000012875
  5141. eps: 0.0010000000475
  5142. }
  5143. }
  5144. layer {
  5145. name: "First_norm_mbox_loc_scale"
  5146. type: "Scale"
  5147. bottom: "First_norm_mbox_loc"
  5148. top: "First_norm_mbox_loc"
  5149. param {
  5150. lr_mult: 1.0
  5151. decay_mult: 0.0
  5152. }
  5153. param {
  5154. lr_mult: 1.0
  5155. decay_mult: 0.0
  5156. }
  5157. scale_param {
  5158. filler {
  5159. type: "constant"
  5160. value: 1.0
  5161. }
  5162. bias_term: true
  5163. bias_filler {
  5164. type: "constant"
  5165. value: 0.0
  5166. }
  5167. }
  5168. }
  5169. layer {
  5170. name: "First_norm_mbox_loc_perm"
  5171. type: "Permute"
  5172. bottom: "First_norm_mbox_loc"
  5173. top: "First_norm_mbox_loc_perm"
  5174. permute_param {
  5175. order: 0
  5176. order: 2
  5177. order: 3
  5178. order: 1
  5179. }
  5180. }
  5181. layer {
  5182. name: "First_norm_mbox_loc_flat"
  5183. type: "Flatten"
  5184. bottom: "First_norm_mbox_loc_perm"
  5185. top: "First_norm_mbox_loc_flat"
  5186. flatten_param {
  5187. axis: 1
  5188. }
  5189. }
  5190. layer {
  5191. name: "First_norm_mbox_conf"
  5192. type: "Convolution"
  5193. bottom: "First_norm"
  5194. top: "First_norm_mbox_conf"
  5195. param {
  5196. lr_mult: 1.0
  5197. decay_mult: 1.0
  5198. }
  5199. convolution_param {
  5200. num_output: 84
  5201. bias_term: false
  5202. pad: 1
  5203. kernel_size: 3
  5204. stride: 1
  5205. weight_filler {
  5206. type: "gaussian"
  5207. std: 0.00999999977648
  5208. }
  5209. }
  5210. }
  5211. layer {
  5212. name: "First_norm_mbox_conf_bn"
  5213. type: "BatchNorm"
  5214. bottom: "First_norm_mbox_conf"
  5215. top: "First_norm_mbox_conf"
  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. param {
  5225. lr_mult: 0.0
  5226. decay_mult: 0.0
  5227. }
  5228. batch_norm_param {
  5229. moving_average_fraction: 0.999000012875
  5230. eps: 0.0010000000475
  5231. }
  5232. }
  5233. layer {
  5234. name: "First_norm_mbox_conf_scale"
  5235. type: "Scale"
  5236. bottom: "First_norm_mbox_conf"
  5237. top: "First_norm_mbox_conf"
  5238. param {
  5239. lr_mult: 1.0
  5240. decay_mult: 0.0
  5241. }
  5242. param {
  5243. lr_mult: 1.0
  5244. decay_mult: 0.0
  5245. }
  5246. scale_param {
  5247. filler {
  5248. type: "constant"
  5249. value: 1.0
  5250. }
  5251. bias_term: true
  5252. bias_filler {
  5253. type: "constant"
  5254. value: 0.0
  5255. }
  5256. }
  5257. }
  5258. layer {
  5259. name: "First_norm_mbox_conf_perm"
  5260. type: "Permute"
  5261. bottom: "First_norm_mbox_conf"
  5262. top: "First_norm_mbox_conf_perm"
  5263. permute_param {
  5264. order: 0
  5265. order: 2
  5266. order: 3
  5267. order: 1
  5268. }
  5269. }
  5270. layer {
  5271. name: "First_norm_mbox_conf_flat"
  5272. type: "Flatten"
  5273. bottom: "First_norm_mbox_conf_perm"
  5274. top: "First_norm_mbox_conf_flat"
  5275. flatten_param {
  5276. axis: 1
  5277. }
  5278. }
  5279. layer {
  5280. name: "First_norm_mbox_priorbox"
  5281. type: "PriorBox"
  5282. bottom: "First_norm"
  5283. bottom: "data"
  5284. top: "First_norm_mbox_priorbox"
  5285. prior_box_param {
  5286. min_size: 30.0
  5287. max_size: 60.0
  5288. aspect_ratio: 2.0
  5289. flip: true
  5290. clip: false
  5291. variance: 0.10000000149
  5292. variance: 0.10000000149
  5293. variance: 0.20000000298
  5294. variance: 0.20000000298
  5295. step: 8.0
  5296. offset: 0.5
  5297. }
  5298. }
  5299. layer {
  5300. name: "Second_norm"
  5301. type: "Normalize"
  5302. bottom: "Second"
  5303. top: "Second_norm"
  5304. norm_param {
  5305. across_spatial: false
  5306. scale_filler {
  5307. type: "constant"
  5308. value: 20.0
  5309. }
  5310. channel_shared: false
  5311. }
  5312. }
  5313. layer {
  5314. name: "Second_norm_mbox_loc"
  5315. type: "Convolution"
  5316. bottom: "Second_norm"
  5317. top: "Second_norm_mbox_loc"
  5318. param {
  5319. lr_mult: 1.0
  5320. decay_mult: 1.0
  5321. }
  5322. convolution_param {
  5323. num_output: 24
  5324. bias_term: false
  5325. pad: 1
  5326. kernel_size: 3
  5327. stride: 1
  5328. weight_filler {
  5329. type: "gaussian"
  5330. std: 0.00999999977648
  5331. }
  5332. }
  5333. }
  5334. layer {
  5335. name: "Second_norm_mbox_loc_bn"
  5336. type: "BatchNorm"
  5337. bottom: "Second_norm_mbox_loc"
  5338. top: "Second_norm_mbox_loc"
  5339. param {
  5340. lr_mult: 0.0
  5341. decay_mult: 0.0
  5342. }
  5343. param {
  5344. lr_mult: 0.0
  5345. decay_mult: 0.0
  5346. }
  5347. param {
  5348. lr_mult: 0.0
  5349. decay_mult: 0.0
  5350. }
  5351. batch_norm_param {
  5352. moving_average_fraction: 0.999000012875
  5353. eps: 0.0010000000475
  5354. }
  5355. }
  5356. layer {
  5357. name: "Second_norm_mbox_loc_scale"
  5358. type: "Scale"
  5359. bottom: "Second_norm_mbox_loc"
  5360. top: "Second_norm_mbox_loc"
  5361. param {
  5362. lr_mult: 1.0
  5363. decay_mult: 0.0
  5364. }
  5365. param {
  5366. lr_mult: 1.0
  5367. decay_mult: 0.0
  5368. }
  5369. scale_param {
  5370. filler {
  5371. type: "constant"
  5372. value: 1.0
  5373. }
  5374. bias_term: true
  5375. bias_filler {
  5376. type: "constant"
  5377. value: 0.0
  5378. }
  5379. }
  5380. }
  5381. layer {
  5382. name: "Second_norm_mbox_loc_perm"
  5383. type: "Permute"
  5384. bottom: "Second_norm_mbox_loc"
  5385. top: "Second_norm_mbox_loc_perm"
  5386. permute_param {
  5387. order: 0
  5388. order: 2
  5389. order: 3
  5390. order: 1
  5391. }
  5392. }
  5393. layer {
  5394. name: "Second_norm_mbox_loc_flat"
  5395. type: "Flatten"
  5396. bottom: "Second_norm_mbox_loc_perm"
  5397. top: "Second_norm_mbox_loc_flat"
  5398. flatten_param {
  5399. axis: 1
  5400. }
  5401. }
  5402. layer {
  5403. name: "Second_norm_mbox_conf"
  5404. type: "Convolution"
  5405. bottom: "Second_norm"
  5406. top: "Second_norm_mbox_conf"
  5407. param {
  5408. lr_mult: 1.0
  5409. decay_mult: 1.0
  5410. }
  5411. convolution_param {
  5412. num_output: 126
  5413. bias_term: false
  5414. pad: 1
  5415. kernel_size: 3
  5416. stride: 1
  5417. weight_filler {
  5418. type: "gaussian"
  5419. std: 0.00999999977648
  5420. }
  5421. }
  5422. }
  5423. layer {
  5424. name: "Second_norm_mbox_conf_bn"
  5425. type: "BatchNorm"
  5426. bottom: "Second_norm_mbox_conf"
  5427. top: "Second_norm_mbox_conf"
  5428. param {
  5429. lr_mult: 0.0
  5430. decay_mult: 0.0
  5431. }
  5432. param {
  5433. lr_mult: 0.0
  5434. decay_mult: 0.0
  5435. }
  5436. param {
  5437. lr_mult: 0.0
  5438. decay_mult: 0.0
  5439. }
  5440. batch_norm_param {
  5441. moving_average_fraction: 0.999000012875
  5442. eps: 0.0010000000475
  5443. }
  5444. }
  5445. layer {
  5446. name: "Second_norm_mbox_conf_scale"
  5447. type: "Scale"
  5448. bottom: "Second_norm_mbox_conf"
  5449. top: "Second_norm_mbox_conf"
  5450. param {
  5451. lr_mult: 1.0
  5452. decay_mult: 0.0
  5453. }
  5454. param {
  5455. lr_mult: 1.0
  5456. decay_mult: 0.0
  5457. }
  5458. scale_param {
  5459. filler {
  5460. type: "constant"
  5461. value: 1.0
  5462. }
  5463. bias_term: true
  5464. bias_filler {
  5465. type: "constant"
  5466. value: 0.0
  5467. }
  5468. }
  5469. }
  5470. layer {
  5471. name: "Second_norm_mbox_conf_perm"
  5472. type: "Permute"
  5473. bottom: "Second_norm_mbox_conf"
  5474. top: "Second_norm_mbox_conf_perm"
  5475. permute_param {
  5476. order: 0
  5477. order: 2
  5478. order: 3
  5479. order: 1
  5480. }
  5481. }
  5482. layer {
  5483. name: "Second_norm_mbox_conf_flat"
  5484. type: "Flatten"
  5485. bottom: "Second_norm_mbox_conf_perm"
  5486. top: "Second_norm_mbox_conf_flat"
  5487. flatten_param {
  5488. axis: 1
  5489. }
  5490. }
  5491. layer {
  5492. name: "Second_norm_mbox_priorbox"
  5493. type: "PriorBox"
  5494. bottom: "Second_norm"
  5495. bottom: "data"
  5496. top: "Second_norm_mbox_priorbox"
  5497. prior_box_param {
  5498. min_size: 60.0
  5499. max_size: 111.0
  5500. aspect_ratio: 2.0
  5501. aspect_ratio: 3.0
  5502. flip: true
  5503. clip: false
  5504. variance: 0.10000000149
  5505. variance: 0.10000000149
  5506. variance: 0.20000000298
  5507. variance: 0.20000000298
  5508. step: 16.0
  5509. offset: 0.5
  5510. }
  5511. }
  5512. layer {
  5513. name: "Third_norm"
  5514. type: "Normalize"
  5515. bottom: "Third"
  5516. top: "Third_norm"
  5517. norm_param {
  5518. across_spatial: false
  5519. scale_filler {
  5520. type: "constant"
  5521. value: 20.0
  5522. }
  5523. channel_shared: false
  5524. }
  5525. }
  5526. layer {
  5527. name: "Third_norm_mbox_loc"
  5528. type: "Convolution"
  5529. bottom: "Third_norm"
  5530. top: "Third_norm_mbox_loc"
  5531. param {
  5532. lr_mult: 1.0
  5533. decay_mult: 1.0
  5534. }
  5535. convolution_param {
  5536. num_output: 24
  5537. bias_term: false
  5538. pad: 1
  5539. kernel_size: 3
  5540. stride: 1
  5541. weight_filler {
  5542. type: "gaussian"
  5543. std: 0.00999999977648
  5544. }
  5545. }
  5546. }
  5547. layer {
  5548. name: "Third_norm_mbox_loc_bn"
  5549. type: "BatchNorm"
  5550. bottom: "Third_norm_mbox_loc"
  5551. top: "Third_norm_mbox_loc"
  5552. param {
  5553. lr_mult: 0.0
  5554. decay_mult: 0.0
  5555. }
  5556. param {
  5557. lr_mult: 0.0
  5558. decay_mult: 0.0
  5559. }
  5560. param {
  5561. lr_mult: 0.0
  5562. decay_mult: 0.0
  5563. }
  5564. batch_norm_param {
  5565. moving_average_fraction: 0.999000012875
  5566. eps: 0.0010000000475
  5567. }
  5568. }
  5569. layer {
  5570. name: "Third_norm_mbox_loc_scale"
  5571. type: "Scale"
  5572. bottom: "Third_norm_mbox_loc"
  5573. top: "Third_norm_mbox_loc"
  5574. param {
  5575. lr_mult: 1.0
  5576. decay_mult: 0.0
  5577. }
  5578. param {
  5579. lr_mult: 1.0
  5580. decay_mult: 0.0
  5581. }
  5582. scale_param {
  5583. filler {
  5584. type: "constant"
  5585. value: 1.0
  5586. }
  5587. bias_term: true
  5588. bias_filler {
  5589. type: "constant"
  5590. value: 0.0
  5591. }
  5592. }
  5593. }
  5594. layer {
  5595. name: "Third_norm_mbox_loc_perm"
  5596. type: "Permute"
  5597. bottom: "Third_norm_mbox_loc"
  5598. top: "Third_norm_mbox_loc_perm"
  5599. permute_param {
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  5601. order: 2
  5602. order: 3
  5603. order: 1
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  5606. layer {
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  5608. type: "Flatten"
  5609. bottom: "Third_norm_mbox_loc_perm"
  5610. top: "Third_norm_mbox_loc_flat"
  5611. flatten_param {
  5612. axis: 1
  5613. }
  5614. }
  5615. layer {
  5616. name: "Third_norm_mbox_conf"
  5617. type: "Convolution"
  5618. bottom: "Third_norm"
  5619. top: "Third_norm_mbox_conf"
  5620. param {
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  5622. decay_mult: 1.0
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  5626. bias_term: false
  5627. pad: 1
  5628. kernel_size: 3
  5629. stride: 1
  5630. weight_filler {
  5631. type: "gaussian"
  5632. std: 0.00999999977648
  5633. }
  5634. }
  5635. }
  5636. layer {
  5637. name: "Third_norm_mbox_conf_bn"
  5638. type: "BatchNorm"
  5639. bottom: "Third_norm_mbox_conf"
  5640. top: "Third_norm_mbox_conf"
  5641. param {
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  5643. decay_mult: 0.0
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  5649. param {
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  5651. decay_mult: 0.0
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  5653. batch_norm_param {
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  5655. eps: 0.0010000000475
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  5657. }
  5658. layer {
  5659. name: "Third_norm_mbox_conf_scale"
  5660. type: "Scale"
  5661. bottom: "Third_norm_mbox_conf"
  5662. top: "Third_norm_mbox_conf"
  5663. param {
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  5665. decay_mult: 0.0
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  5667. param {
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  5669. decay_mult: 0.0
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  5674. value: 1.0
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  5677. bias_filler {
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  5679. value: 0.0
  5680. }
  5681. }
  5682. }
  5683. layer {
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  5685. type: "Permute"
  5686. bottom: "Third_norm_mbox_conf"
  5687. top: "Third_norm_mbox_conf_perm"
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  5690. order: 2
  5691. order: 3
  5692. order: 1
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  5697. type: "Flatten"
  5698. bottom: "Third_norm_mbox_conf_perm"
  5699. top: "Third_norm_mbox_conf_flat"
  5700. flatten_param {
  5701. axis: 1
  5702. }
  5703. }
  5704. layer {
  5705. name: "Third_norm_mbox_priorbox"
  5706. type: "PriorBox"
  5707. bottom: "Third_norm"
  5708. bottom: "data"
  5709. top: "Third_norm_mbox_priorbox"
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  5712. max_size: 162.0
  5713. aspect_ratio: 2.0
  5714. aspect_ratio: 3.0
  5715. flip: true
  5716. clip: false
  5717. variance: 0.10000000149
  5718. variance: 0.10000000149
  5719. variance: 0.20000000298
  5720. variance: 0.20000000298
  5721. step: 32.0
  5722. offset: 0.5
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  5725. layer {
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  5727. type: "Normalize"
  5728. bottom: "Fourth"
  5729. top: "Fourth_norm"
  5730. norm_param {
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  5732. scale_filler {
  5733. type: "constant"
  5734. value: 20.0
  5735. }
  5736. channel_shared: false
  5737. }
  5738. }
  5739. layer {
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  5741. type: "Convolution"
  5742. bottom: "Fourth_norm"
  5743. top: "Fourth_norm_mbox_loc"
  5744. param {
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  5746. decay_mult: 1.0
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  5750. bias_term: false
  5751. pad: 1
  5752. kernel_size: 3
  5753. stride: 1
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  5756. std: 0.00999999977648
  5757. }
  5758. }
  5759. }
  5760. layer {
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  5762. type: "BatchNorm"
  5763. bottom: "Fourth_norm_mbox_loc"
  5764. top: "Fourth_norm_mbox_loc"
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  5767. decay_mult: 0.0
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  5773. param {
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  5777. batch_norm_param {
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  5779. eps: 0.0010000000475
  5780. }
  5781. }
  5782. layer {
  5783. name: "Fourth_norm_mbox_loc_scale"
  5784. type: "Scale"
  5785. bottom: "Fourth_norm_mbox_loc"
  5786. top: "Fourth_norm_mbox_loc"
  5787. param {
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  5789. decay_mult: 0.0
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  5793. decay_mult: 0.0
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  5800. bias_term: true
  5801. bias_filler {
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  5803. value: 0.0
  5804. }
  5805. }
  5806. }
  5807. layer {
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  5809. type: "Permute"
  5810. bottom: "Fourth_norm_mbox_loc"
  5811. top: "Fourth_norm_mbox_loc_perm"
  5812. permute_param {
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  5814. order: 2
  5815. order: 3
  5816. order: 1
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  5819. layer {
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  5821. type: "Flatten"
  5822. bottom: "Fourth_norm_mbox_loc_perm"
  5823. top: "Fourth_norm_mbox_loc_flat"
  5824. flatten_param {
  5825. axis: 1
  5826. }
  5827. }
  5828. layer {
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  5830. type: "Convolution"
  5831. bottom: "Fourth_norm"
  5832. top: "Fourth_norm_mbox_conf"
  5833. param {
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  5835. decay_mult: 1.0
  5836. }
  5837. convolution_param {
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  5839. bias_term: false
  5840. pad: 1
  5841. kernel_size: 3
  5842. stride: 1
  5843. weight_filler {
  5844. type: "gaussian"
  5845. std: 0.00999999977648
  5846. }
  5847. }
  5848. }
  5849. layer {
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  5851. type: "BatchNorm"
  5852. bottom: "Fourth_norm_mbox_conf"
  5853. top: "Fourth_norm_mbox_conf"
  5854. param {
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  5856. decay_mult: 0.0
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  5862. param {
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  5864. decay_mult: 0.0
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  5866. batch_norm_param {
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  5868. eps: 0.0010000000475
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  5870. }
  5871. layer {
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  5873. type: "Scale"
  5874. bottom: "Fourth_norm_mbox_conf"
  5875. top: "Fourth_norm_mbox_conf"
  5876. param {
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  5878. decay_mult: 0.0
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  5880. param {
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  5882. decay_mult: 0.0
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  5884. scale_param {
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  5887. value: 1.0
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  5889. bias_term: true
  5890. bias_filler {
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  5892. value: 0.0
  5893. }
  5894. }
  5895. }
  5896. layer {
  5897. name: "Fourth_norm_mbox_conf_perm"
  5898. type: "Permute"
  5899. bottom: "Fourth_norm_mbox_conf"
  5900. top: "Fourth_norm_mbox_conf_perm"
  5901. permute_param {
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  5903. order: 2
  5904. order: 3
  5905. order: 1
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  5907. }
  5908. layer {
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  5910. type: "Flatten"
  5911. bottom: "Fourth_norm_mbox_conf_perm"
  5912. top: "Fourth_norm_mbox_conf_flat"
  5913. flatten_param {
  5914. axis: 1
  5915. }
  5916. }
  5917. layer {
  5918. name: "Fourth_norm_mbox_priorbox"
  5919. type: "PriorBox"
  5920. bottom: "Fourth_norm"
  5921. bottom: "data"
  5922. top: "Fourth_norm_mbox_priorbox"
  5923. prior_box_param {
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  5925. max_size: 213.0
  5926. aspect_ratio: 2.0
  5927. aspect_ratio: 3.0
  5928. flip: true
  5929. clip: false
  5930. variance: 0.10000000149
  5931. variance: 0.10000000149
  5932. variance: 0.20000000298
  5933. variance: 0.20000000298
  5934. step: 64.0
  5935. offset: 0.5
  5936. }
  5937. }
  5938. layer {
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  5940. type: "Normalize"
  5941. bottom: "Fifth"
  5942. top: "Fifth_norm"
  5943. norm_param {
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  5945. scale_filler {
  5946. type: "constant"
  5947. value: 20.0
  5948. }
  5949. channel_shared: false
  5950. }
  5951. }
  5952. layer {
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  5954. type: "Convolution"
  5955. bottom: "Fifth_norm"
  5956. top: "Fifth_norm_mbox_loc"
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  5959. decay_mult: 1.0
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  5961. convolution_param {
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  5963. bias_term: false
  5964. pad: 1
  5965. kernel_size: 3
  5966. stride: 1
  5967. weight_filler {
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  5969. std: 0.00999999977648
  5970. }
  5971. }
  5972. }
  5973. layer {
  5974. name: "Fifth_norm_mbox_loc_bn"
  5975. type: "BatchNorm"
  5976. bottom: "Fifth_norm_mbox_loc"
  5977. top: "Fifth_norm_mbox_loc"
  5978. param {
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  5980. decay_mult: 0.0
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  5982. param {
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  5986. param {
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  5988. decay_mult: 0.0
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  5990. batch_norm_param {
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  5992. eps: 0.0010000000475
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  5994. }
  5995. layer {
  5996. name: "Fifth_norm_mbox_loc_scale"
  5997. type: "Scale"
  5998. bottom: "Fifth_norm_mbox_loc"
  5999. top: "Fifth_norm_mbox_loc"
  6000. param {
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  6002. decay_mult: 0.0
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  6004. param {
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  6006. decay_mult: 0.0
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  6008. scale_param {
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  6013. bias_term: true
  6014. bias_filler {
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  6016. value: 0.0
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  6018. }
  6019. }
  6020. layer {
  6021. name: "Fifth_norm_mbox_loc_perm"
  6022. type: "Permute"
  6023. bottom: "Fifth_norm_mbox_loc"
  6024. top: "Fifth_norm_mbox_loc_perm"
  6025. permute_param {
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  6027. order: 2
  6028. order: 3
  6029. order: 1
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  6031. }
  6032. layer {
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  6034. type: "Flatten"
  6035. bottom: "Fifth_norm_mbox_loc_perm"
  6036. top: "Fifth_norm_mbox_loc_flat"
  6037. flatten_param {
  6038. axis: 1
  6039. }
  6040. }
  6041. layer {
  6042. name: "Fifth_norm_mbox_conf"
  6043. type: "Convolution"
  6044. bottom: "Fifth_norm"
  6045. top: "Fifth_norm_mbox_conf"
  6046. param {
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  6048. decay_mult: 1.0
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  6050. convolution_param {
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  6052. bias_term: false
  6053. pad: 1
  6054. kernel_size: 3
  6055. stride: 1
  6056. weight_filler {
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  6058. std: 0.00999999977648
  6059. }
  6060. }
  6061. }
  6062. layer {
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  6064. type: "BatchNorm"
  6065. bottom: "Fifth_norm_mbox_conf"
  6066. top: "Fifth_norm_mbox_conf"
  6067. param {
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  6069. decay_mult: 0.0
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  6071. param {
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  6074. }
  6075. param {
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  6077. decay_mult: 0.0
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  6079. batch_norm_param {
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  6081. eps: 0.0010000000475
  6082. }
  6083. }
  6084. layer {
  6085. name: "Fifth_norm_mbox_conf_scale"
  6086. type: "Scale"
  6087. bottom: "Fifth_norm_mbox_conf"
  6088. top: "Fifth_norm_mbox_conf"
  6089. param {
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  6091. decay_mult: 0.0
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  6093. param {
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  6095. decay_mult: 0.0
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  6097. scale_param {
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  6100. value: 1.0
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  6102. bias_term: true
  6103. bias_filler {
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  6105. value: 0.0
  6106. }
  6107. }
  6108. }
  6109. layer {
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  6111. type: "Permute"
  6112. bottom: "Fifth_norm_mbox_conf"
  6113. top: "Fifth_norm_mbox_conf_perm"
  6114. permute_param {
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  6116. order: 2
  6117. order: 3
  6118. order: 1
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  6120. }
  6121. layer {
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  6123. type: "Flatten"
  6124. bottom: "Fifth_norm_mbox_conf_perm"
  6125. top: "Fifth_norm_mbox_conf_flat"
  6126. flatten_param {
  6127. axis: 1
  6128. }
  6129. }
  6130. layer {
  6131. name: "Fifth_norm_mbox_priorbox"
  6132. type: "PriorBox"
  6133. bottom: "Fifth_norm"
  6134. bottom: "data"
  6135. top: "Fifth_norm_mbox_priorbox"
  6136. prior_box_param {
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  6138. max_size: 264.0
  6139. aspect_ratio: 2.0
  6140. flip: true
  6141. clip: false
  6142. variance: 0.10000000149
  6143. variance: 0.10000000149
  6144. variance: 0.20000000298
  6145. variance: 0.20000000298
  6146. step: 100.0
  6147. offset: 0.5
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  6149. }
  6150. layer {
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  6152. type: "Normalize"
  6153. bottom: "Sixth"
  6154. top: "Sixth_norm"
  6155. norm_param {
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  6157. scale_filler {
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  6159. value: 20.0
  6160. }
  6161. channel_shared: false
  6162. }
  6163. }
  6164. layer {
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  6166. type: "Convolution"
  6167. bottom: "Sixth_norm"
  6168. top: "Sixth_norm_mbox_loc"
  6169. param {
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  6171. decay_mult: 1.0
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  6173. convolution_param {
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  6175. bias_term: false
  6176. pad: 1
  6177. kernel_size: 3
  6178. stride: 1
  6179. weight_filler {
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  6181. std: 0.00999999977648
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  6183. }
  6184. }
  6185. layer {
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  6187. type: "BatchNorm"
  6188. bottom: "Sixth_norm_mbox_loc"
  6189. top: "Sixth_norm_mbox_loc"
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  6192. decay_mult: 0.0
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  6194. param {
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  6198. param {
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  6202. batch_norm_param {
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  6204. eps: 0.0010000000475
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  6206. }
  6207. layer {
  6208. name: "Sixth_norm_mbox_loc_scale"
  6209. type: "Scale"
  6210. bottom: "Sixth_norm_mbox_loc"
  6211. top: "Sixth_norm_mbox_loc"
  6212. param {
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  6214. decay_mult: 0.0
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  6216. param {
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  6218. decay_mult: 0.0
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  6220. scale_param {
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  6223. value: 1.0
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  6225. bias_term: true
  6226. bias_filler {
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  6228. value: 0.0
  6229. }
  6230. }
  6231. }
  6232. layer {
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  6234. type: "Permute"
  6235. bottom: "Sixth_norm_mbox_loc"
  6236. top: "Sixth_norm_mbox_loc_perm"
  6237. permute_param {
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  6239. order: 2
  6240. order: 3
  6241. order: 1
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  6243. }
  6244. layer {
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  6246. type: "Flatten"
  6247. bottom: "Sixth_norm_mbox_loc_perm"
  6248. top: "Sixth_norm_mbox_loc_flat"
  6249. flatten_param {
  6250. axis: 1
  6251. }
  6252. }
  6253. layer {
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  6255. type: "Convolution"
  6256. bottom: "Sixth_norm"
  6257. top: "Sixth_norm_mbox_conf"
  6258. param {
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  6260. decay_mult: 1.0
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  6264. bias_term: false
  6265. pad: 1
  6266. kernel_size: 3
  6267. stride: 1
  6268. weight_filler {
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  6270. std: 0.00999999977648
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  6273. }
  6274. layer {
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  6276. type: "BatchNorm"
  6277. bottom: "Sixth_norm_mbox_conf"
  6278. top: "Sixth_norm_mbox_conf"
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  6281. decay_mult: 0.0
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  6283. param {
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  6287. param {
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  6291. batch_norm_param {
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  6293. eps: 0.0010000000475
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  6295. }
  6296. layer {
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  6298. type: "Scale"
  6299. bottom: "Sixth_norm_mbox_conf"
  6300. top: "Sixth_norm_mbox_conf"
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  6303. decay_mult: 0.0
  6304. }
  6305. param {
  6306. lr_mult: 1.0
  6307. decay_mult: 0.0
  6308. }
  6309. scale_param {
  6310. filler {
  6311. type: "constant"
  6312. value: 1.0
  6313. }
  6314. bias_term: true
  6315. bias_filler {
  6316. type: "constant"
  6317. value: 0.0
  6318. }
  6319. }
  6320. }
  6321. layer {
  6322. name: "Sixth_norm_mbox_conf_perm"
  6323. type: "Permute"
  6324. bottom: "Sixth_norm_mbox_conf"
  6325. top: "Sixth_norm_mbox_conf_perm"
  6326. permute_param {
  6327. order: 0
  6328. order: 2
  6329. order: 3
  6330. order: 1
  6331. }
  6332. }
  6333. layer {
  6334. name: "Sixth_norm_mbox_conf_flat"
  6335. type: "Flatten"
  6336. bottom: "Sixth_norm_mbox_conf_perm"
  6337. top: "Sixth_norm_mbox_conf_flat"
  6338. flatten_param {
  6339. axis: 1
  6340. }
  6341. }
  6342. layer {
  6343. name: "Sixth_norm_mbox_priorbox"
  6344. type: "PriorBox"
  6345. bottom: "Sixth_norm"
  6346. bottom: "data"
  6347. top: "Sixth_norm_mbox_priorbox"
  6348. prior_box_param {
  6349. min_size: 264.0
  6350. max_size: 315.0
  6351. aspect_ratio: 2.0
  6352. flip: true
  6353. clip: false
  6354. variance: 0.10000000149
  6355. variance: 0.10000000149
  6356. variance: 0.20000000298
  6357. variance: 0.20000000298
  6358. step: 300.0
  6359. offset: 0.5
  6360. }
  6361. }
  6362. layer {
  6363. name: "mbox_loc"
  6364. type: "Concat"
  6365. bottom: "First_norm_mbox_loc_flat"
  6366. bottom: "Second_norm_mbox_loc_flat"
  6367. bottom: "Third_norm_mbox_loc_flat"
  6368. bottom: "Fourth_norm_mbox_loc_flat"
  6369. bottom: "Fifth_norm_mbox_loc_flat"
  6370. bottom: "Sixth_norm_mbox_loc_flat"
  6371. top: "mbox_loc"
  6372. concat_param {
  6373. axis: 1
  6374. }
  6375. }
  6376. layer {
  6377. name: "mbox_conf"
  6378. type: "Concat"
  6379. bottom: "First_norm_mbox_conf_flat"
  6380. bottom: "Second_norm_mbox_conf_flat"
  6381. bottom: "Third_norm_mbox_conf_flat"
  6382. bottom: "Fourth_norm_mbox_conf_flat"
  6383. bottom: "Fifth_norm_mbox_conf_flat"
  6384. bottom: "Sixth_norm_mbox_conf_flat"
  6385. top: "mbox_conf"
  6386. concat_param {
  6387. axis: 1
  6388. }
  6389. }
  6390. layer {
  6391. name: "mbox_priorbox"
  6392. type: "Concat"
  6393. bottom: "First_norm_mbox_priorbox"
  6394. bottom: "Second_norm_mbox_priorbox"
  6395. bottom: "Third_norm_mbox_priorbox"
  6396. bottom: "Fourth_norm_mbox_priorbox"
  6397. bottom: "Fifth_norm_mbox_priorbox"
  6398. bottom: "Sixth_norm_mbox_priorbox"
  6399. top: "mbox_priorbox"
  6400. concat_param {
  6401. axis: 2
  6402. }
  6403. }
  6404. layer {
  6405. name: "mbox_conf_reshape"
  6406. type: "Reshape"
  6407. bottom: "mbox_conf"
  6408. top: "mbox_conf_reshape"
  6409. reshape_param {
  6410. shape {
  6411. dim: 0
  6412. dim: -1
  6413. dim: 21
  6414. }
  6415. }
  6416. }
  6417. layer {
  6418. name: "mbox_conf_softmax"
  6419. type: "Softmax"
  6420. bottom: "mbox_conf_reshape"
  6421. top: "mbox_conf_softmax"
  6422. softmax_param {
  6423. axis: 2
  6424. }
  6425. }
  6426. layer {
  6427. name: "mbox_conf_flatten"
  6428. type: "Flatten"
  6429. bottom: "mbox_conf_softmax"
  6430. top: "mbox_conf_flatten"
  6431. flatten_param {
  6432. axis: 1
  6433. }
  6434. }
  6435. layer {
  6436. name: "detection_out"
  6437. type: "DetectionOutput"
  6438. bottom: "mbox_loc"
  6439. bottom: "mbox_conf_flatten"
  6440. bottom: "mbox_priorbox"
  6441. top: "detection_out"
  6442. include {
  6443. phase: TEST
  6444. }
  6445. detection_output_param {
  6446. num_classes: 21
  6447. share_location: true
  6448. background_label_id: 0
  6449. nms_param {
  6450. nms_threshold: 0.449999988079
  6451. top_k: 400
  6452. }
  6453. save_output_param {
  6454. output_directory: "/home/yong/data/VOCdevkit/results/VOC2007/DSOD300_300x300/Main"
  6455. output_name_prefix: "comp4_det_test_"
  6456. output_format: "VOC"
  6457. label_map_file: "data/VOC0712/labelmap_voc.prototxt"
  6458. name_size_file: "data/VOC0712/test_name_size.txt"
  6459. num_test_image: 4952
  6460. }
  6461. code_type: CENTER_SIZE
  6462. keep_top_k: 200
  6463. confidence_threshold: 0.00999999977648
  6464. }
  6465. }
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