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  1. name: "PeleeNet-YOLO"
  2. input: "data"
  3. input_shape {
  4. dim: 1
  5. dim: 3
  6. dim: 416
  7. dim: 416
  8. }
  9. ######################
  10. layer {
  11. name: "stem1"
  12. type: "Convolution"
  13. bottom: "data"
  14. top: "stem1"
  15. convolution_param {
  16. num_output: 32
  17. bias_term: false
  18. pad: 1
  19. kernel_size: 3
  20. stride: 2
  21. weight_filler {
  22. type: "xavier"
  23. }
  24. bias_filler {
  25. type: "constant"
  26. }
  27. }
  28. }
  29. layer {
  30. name: "stem1/bn"
  31. type: "BatchNorm"
  32. bottom: "stem1"
  33. top: "stem1"
  34. param {
  35. lr_mult: 0
  36. decay_mult: 0
  37. }
  38. param {
  39. lr_mult: 0
  40. decay_mult: 0
  41. }
  42. param {
  43. lr_mult: 0
  44. decay_mult: 0
  45. }
  46. batch_norm_param {
  47. moving_average_fraction: 0.999
  48. eps: 0.001
  49. }
  50. }
  51. layer {
  52. name: "stem1/scale"
  53. type: "Scale"
  54. bottom: "stem1"
  55. top: "stem1"
  56. scale_param {
  57. filler {
  58. value: 1
  59. }
  60. bias_term: true
  61. bias_filler {
  62. value: 0
  63. }
  64. }
  65. }
  66. layer {
  67. name: "stem1/relu"
  68. type: "ReLU"
  69. bottom: "stem1"
  70. top: "stem1"
  71. }
  72. layer {
  73. name: "stem2a"
  74. type: "Convolution"
  75. bottom: "stem1"
  76. top: "stem2a"
  77. convolution_param {
  78. num_output: 16
  79. bias_term: false
  80. pad: 0
  81. kernel_size: 1
  82. stride: 1
  83. weight_filler {
  84. type: "xavier"
  85. }
  86. bias_filler {
  87. type: "constant"
  88. }
  89. }
  90. }
  91. layer {
  92. name: "stem2a/bn"
  93. type: "BatchNorm"
  94. bottom: "stem2a"
  95. top: "stem2a"
  96. param {
  97. lr_mult: 0
  98. decay_mult: 0
  99. }
  100. param {
  101. lr_mult: 0
  102. decay_mult: 0
  103. }
  104. param {
  105. lr_mult: 0
  106. decay_mult: 0
  107. }
  108. batch_norm_param {
  109. moving_average_fraction: 0.999
  110. eps: 0.001
  111. }
  112. }
  113. layer {
  114. name: "stem2a/scale"
  115. type: "Scale"
  116. bottom: "stem2a"
  117. top: "stem2a"
  118. scale_param {
  119. filler {
  120. value: 1
  121. }
  122. bias_term: true
  123. bias_filler {
  124. value: 0
  125. }
  126. }
  127. }
  128. layer {
  129. name: "stem2a/relu"
  130. type: "ReLU"
  131. bottom: "stem2a"
  132. top: "stem2a"
  133. }
  134. layer {
  135. name: "stem2b"
  136. type: "Convolution"
  137. bottom: "stem2a"
  138. top: "stem2b"
  139. convolution_param {
  140. num_output: 32
  141. bias_term: false
  142. pad: 1
  143. kernel_size: 3
  144. stride: 2
  145. weight_filler {
  146. type: "xavier"
  147. }
  148. bias_filler {
  149. type: "constant"
  150. }
  151. }
  152. }
  153. layer {
  154. name: "stem2b/bn"
  155. type: "BatchNorm"
  156. bottom: "stem2b"
  157. top: "stem2b"
  158. param {
  159. lr_mult: 0
  160. decay_mult: 0
  161. }
  162. param {
  163. lr_mult: 0
  164. decay_mult: 0
  165. }
  166. param {
  167. lr_mult: 0
  168. decay_mult: 0
  169. }
  170. batch_norm_param {
  171. moving_average_fraction: 0.999
  172. eps: 0.001
  173. }
  174. }
  175. layer {
  176. name: "stem2b/scale"
  177. type: "Scale"
  178. bottom: "stem2b"
  179. top: "stem2b"
  180. scale_param {
  181. filler {
  182. value: 1
  183. }
  184. bias_term: true
  185. bias_filler {
  186. value: 0
  187. }
  188. }
  189. }
  190. layer {
  191. name: "stem2b/relu"
  192. type: "ReLU"
  193. bottom: "stem2b"
  194. top: "stem2b"
  195. }
  196. layer {
  197. name: "stem/pool"
  198. type: "Pooling"
  199. bottom: "stem1"
  200. top: "stem/pool"
  201. pooling_param {
  202. pool: MAX
  203. kernel_size: 2
  204. stride: 2
  205. }
  206. }
  207. layer {
  208. name: "stem/concat"
  209. type: "Concat"
  210. bottom: "stem/pool"
  211. bottom: "stem2b"
  212. top: "stem/concat"
  213. concat_param {
  214. axis: 1
  215. }
  216. }
  217. layer {
  218. name: "stem3"
  219. type: "Convolution"
  220. bottom: "stem/concat"
  221. top: "stem3"
  222. convolution_param {
  223. num_output: 32
  224. bias_term: false
  225. pad: 0
  226. kernel_size: 1
  227. stride: 1
  228. weight_filler {
  229. type: "xavier"
  230. }
  231. bias_filler {
  232. type: "constant"
  233. }
  234. }
  235. }
  236. layer {
  237. name: "stem3/bn"
  238. type: "BatchNorm"
  239. bottom: "stem3"
  240. top: "stem3"
  241. param {
  242. lr_mult: 0
  243. decay_mult: 0
  244. }
  245. param {
  246. lr_mult: 0
  247. decay_mult: 0
  248. }
  249. param {
  250. lr_mult: 0
  251. decay_mult: 0
  252. }
  253. batch_norm_param {
  254. moving_average_fraction: 0.999
  255. eps: 0.001
  256. }
  257. }
  258. layer {
  259. name: "stem3/scale"
  260. type: "Scale"
  261. bottom: "stem3"
  262. top: "stem3"
  263. scale_param {
  264. filler {
  265. value: 1
  266. }
  267. bias_term: true
  268. bias_filler {
  269. value: 0
  270. }
  271. }
  272. }
  273. layer {
  274. name: "stem3/relu"
  275. type: "ReLU"
  276. bottom: "stem3"
  277. top: "stem3"
  278. }
  279. layer {
  280. name: "stage1_1/branch1a"
  281. type: "Convolution"
  282. bottom: "stem3"
  283. top: "stage1_1/branch1a"
  284. convolution_param {
  285. num_output: 16
  286. bias_term: false
  287. pad: 0
  288. kernel_size: 1
  289. stride: 1
  290. weight_filler {
  291. type: "xavier"
  292. }
  293. bias_filler {
  294. type: "constant"
  295. }
  296. }
  297. }
  298. layer {
  299. name: "stage1_1/branch1a/bn"
  300. type: "BatchNorm"
  301. bottom: "stage1_1/branch1a"
  302. top: "stage1_1/branch1a"
  303. param {
  304. lr_mult: 0
  305. decay_mult: 0
  306. }
  307. param {
  308. lr_mult: 0
  309. decay_mult: 0
  310. }
  311. param {
  312. lr_mult: 0
  313. decay_mult: 0
  314. }
  315. batch_norm_param {
  316. moving_average_fraction: 0.999
  317. eps: 0.001
  318. }
  319. }
  320. layer {
  321. name: "stage1_1/branch1a/scale"
  322. type: "Scale"
  323. bottom: "stage1_1/branch1a"
  324. top: "stage1_1/branch1a"
  325. scale_param {
  326. filler {
  327. value: 1
  328. }
  329. bias_term: true
  330. bias_filler {
  331. value: 0
  332. }
  333. }
  334. }
  335. layer {
  336. name: "stage1_1/branch1a/relu"
  337. type: "ReLU"
  338. bottom: "stage1_1/branch1a"
  339. top: "stage1_1/branch1a"
  340. }
  341. layer {
  342. name: "stage1_1/branch1b"
  343. type: "Convolution"
  344. bottom: "stage1_1/branch1a"
  345. top: "stage1_1/branch1b"
  346. convolution_param {
  347. num_output: 16
  348. bias_term: false
  349. pad: 1
  350. kernel_size: 3
  351. stride: 1
  352. weight_filler {
  353. type: "xavier"
  354. }
  355. bias_filler {
  356. type: "constant"
  357. }
  358. }
  359. }
  360. layer {
  361. name: "stage1_1/branch1b/bn"
  362. type: "BatchNorm"
  363. bottom: "stage1_1/branch1b"
  364. top: "stage1_1/branch1b"
  365. param {
  366. lr_mult: 0
  367. decay_mult: 0
  368. }
  369. param {
  370. lr_mult: 0
  371. decay_mult: 0
  372. }
  373. param {
  374. lr_mult: 0
  375. decay_mult: 0
  376. }
  377. batch_norm_param {
  378. moving_average_fraction: 0.999
  379. eps: 0.001
  380. }
  381. }
  382. layer {
  383. name: "stage1_1/branch1b/scale"
  384. type: "Scale"
  385. bottom: "stage1_1/branch1b"
  386. top: "stage1_1/branch1b"
  387. scale_param {
  388. filler {
  389. value: 1
  390. }
  391. bias_term: true
  392. bias_filler {
  393. value: 0
  394. }
  395. }
  396. }
  397. layer {
  398. name: "stage1_1/branch1b/relu"
  399. type: "ReLU"
  400. bottom: "stage1_1/branch1b"
  401. top: "stage1_1/branch1b"
  402. }
  403. layer {
  404. name: "stage1_1/branch2a"
  405. type: "Convolution"
  406. bottom: "stem3"
  407. top: "stage1_1/branch2a"
  408. convolution_param {
  409. num_output: 16
  410. bias_term: false
  411. pad: 0
  412. kernel_size: 1
  413. stride: 1
  414. weight_filler {
  415. type: "xavier"
  416. }
  417. bias_filler {
  418. type: "constant"
  419. }
  420. }
  421. }
  422. layer {
  423. name: "stage1_1/branch2a/bn"
  424. type: "BatchNorm"
  425. bottom: "stage1_1/branch2a"
  426. top: "stage1_1/branch2a"
  427. param {
  428. lr_mult: 0
  429. decay_mult: 0
  430. }
  431. param {
  432. lr_mult: 0
  433. decay_mult: 0
  434. }
  435. param {
  436. lr_mult: 0
  437. decay_mult: 0
  438. }
  439. batch_norm_param {
  440. moving_average_fraction: 0.999
  441. eps: 0.001
  442. }
  443. }
  444. layer {
  445. name: "stage1_1/branch2a/scale"
  446. type: "Scale"
  447. bottom: "stage1_1/branch2a"
  448. top: "stage1_1/branch2a"
  449. scale_param {
  450. filler {
  451. value: 1
  452. }
  453. bias_term: true
  454. bias_filler {
  455. value: 0
  456. }
  457. }
  458. }
  459. layer {
  460. name: "stage1_1/branch2a/relu"
  461. type: "ReLU"
  462. bottom: "stage1_1/branch2a"
  463. top: "stage1_1/branch2a"
  464. }
  465. layer {
  466. name: "stage1_1/branch2b"
  467. type: "Convolution"
  468. bottom: "stage1_1/branch2a"
  469. top: "stage1_1/branch2b"
  470. convolution_param {
  471. num_output: 16
  472. bias_term: false
  473. pad: 1
  474. kernel_size: 3
  475. stride: 1
  476. weight_filler {
  477. type: "xavier"
  478. }
  479. bias_filler {
  480. type: "constant"
  481. }
  482. }
  483. }
  484. layer {
  485. name: "stage1_1/branch2b/bn"
  486. type: "BatchNorm"
  487. bottom: "stage1_1/branch2b"
  488. top: "stage1_1/branch2b"
  489. param {
  490. lr_mult: 0
  491. decay_mult: 0
  492. }
  493. param {
  494. lr_mult: 0
  495. decay_mult: 0
  496. }
  497. param {
  498. lr_mult: 0
  499. decay_mult: 0
  500. }
  501. batch_norm_param {
  502. moving_average_fraction: 0.999
  503. eps: 0.001
  504. }
  505. }
  506. layer {
  507. name: "stage1_1/branch2b/scale"
  508. type: "Scale"
  509. bottom: "stage1_1/branch2b"
  510. top: "stage1_1/branch2b"
  511. scale_param {
  512. filler {
  513. value: 1
  514. }
  515. bias_term: true
  516. bias_filler {
  517. value: 0
  518. }
  519. }
  520. }
  521. layer {
  522. name: "stage1_1/branch2b/relu"
  523. type: "ReLU"
  524. bottom: "stage1_1/branch2b"
  525. top: "stage1_1/branch2b"
  526. }
  527. layer {
  528. name: "stage1_1/branch2c"
  529. type: "Convolution"
  530. bottom: "stage1_1/branch2b"
  531. top: "stage1_1/branch2c"
  532. convolution_param {
  533. num_output: 16
  534. bias_term: false
  535. pad: 1
  536. kernel_size: 3
  537. stride: 1
  538. weight_filler {
  539. type: "xavier"
  540. }
  541. bias_filler {
  542. type: "constant"
  543. }
  544. }
  545. }
  546. layer {
  547. name: "stage1_1/branch2c/bn"
  548. type: "BatchNorm"
  549. bottom: "stage1_1/branch2c"
  550. top: "stage1_1/branch2c"
  551. param {
  552. lr_mult: 0
  553. decay_mult: 0
  554. }
  555. param {
  556. lr_mult: 0
  557. decay_mult: 0
  558. }
  559. param {
  560. lr_mult: 0
  561. decay_mult: 0
  562. }
  563. batch_norm_param {
  564. moving_average_fraction: 0.999
  565. eps: 0.001
  566. }
  567. }
  568. layer {
  569. name: "stage1_1/branch2c/scale"
  570. type: "Scale"
  571. bottom: "stage1_1/branch2c"
  572. top: "stage1_1/branch2c"
  573. scale_param {
  574. filler {
  575. value: 1
  576. }
  577. bias_term: true
  578. bias_filler {
  579. value: 0
  580. }
  581. }
  582. }
  583. layer {
  584. name: "stage1_1/branch2c/relu"
  585. type: "ReLU"
  586. bottom: "stage1_1/branch2c"
  587. top: "stage1_1/branch2c"
  588. }
  589. layer {
  590. name: "stage1_1/concat"
  591. type: "Concat"
  592. bottom: "stem3"
  593. bottom: "stage1_1/branch1b"
  594. bottom: "stage1_1/branch2c"
  595. top: "stage1_1/concat"
  596. concat_param {
  597. axis: 1
  598. }
  599. }
  600. layer {
  601. name: "stage1_2/branch1a"
  602. type: "Convolution"
  603. bottom: "stage1_1/concat"
  604. top: "stage1_2/branch1a"
  605. convolution_param {
  606. num_output: 16
  607. bias_term: false
  608. pad: 0
  609. kernel_size: 1
  610. stride: 1
  611. weight_filler {
  612. type: "xavier"
  613. }
  614. bias_filler {
  615. type: "constant"
  616. }
  617. }
  618. }
  619. layer {
  620. name: "stage1_2/branch1a/bn"
  621. type: "BatchNorm"
  622. bottom: "stage1_2/branch1a"
  623. top: "stage1_2/branch1a"
  624. param {
  625. lr_mult: 0
  626. decay_mult: 0
  627. }
  628. param {
  629. lr_mult: 0
  630. decay_mult: 0
  631. }
  632. param {
  633. lr_mult: 0
  634. decay_mult: 0
  635. }
  636. batch_norm_param {
  637. moving_average_fraction: 0.999
  638. eps: 0.001
  639. }
  640. }
  641. layer {
  642. name: "stage1_2/branch1a/scale"
  643. type: "Scale"
  644. bottom: "stage1_2/branch1a"
  645. top: "stage1_2/branch1a"
  646. scale_param {
  647. filler {
  648. value: 1
  649. }
  650. bias_term: true
  651. bias_filler {
  652. value: 0
  653. }
  654. }
  655. }
  656. layer {
  657. name: "stage1_2/branch1a/relu"
  658. type: "ReLU"
  659. bottom: "stage1_2/branch1a"
  660. top: "stage1_2/branch1a"
  661. }
  662. layer {
  663. name: "stage1_2/branch1b"
  664. type: "Convolution"
  665. bottom: "stage1_2/branch1a"
  666. top: "stage1_2/branch1b"
  667. convolution_param {
  668. num_output: 16
  669. bias_term: false
  670. pad: 1
  671. kernel_size: 3
  672. stride: 1
  673. weight_filler {
  674. type: "xavier"
  675. }
  676. bias_filler {
  677. type: "constant"
  678. }
  679. }
  680. }
  681. layer {
  682. name: "stage1_2/branch1b/bn"
  683. type: "BatchNorm"
  684. bottom: "stage1_2/branch1b"
  685. top: "stage1_2/branch1b"
  686. param {
  687. lr_mult: 0
  688. decay_mult: 0
  689. }
  690. param {
  691. lr_mult: 0
  692. decay_mult: 0
  693. }
  694. param {
  695. lr_mult: 0
  696. decay_mult: 0
  697. }
  698. batch_norm_param {
  699. moving_average_fraction: 0.999
  700. eps: 0.001
  701. }
  702. }
  703. layer {
  704. name: "stage1_2/branch1b/scale"
  705. type: "Scale"
  706. bottom: "stage1_2/branch1b"
  707. top: "stage1_2/branch1b"
  708. scale_param {
  709. filler {
  710. value: 1
  711. }
  712. bias_term: true
  713. bias_filler {
  714. value: 0
  715. }
  716. }
  717. }
  718. layer {
  719. name: "stage1_2/branch1b/relu"
  720. type: "ReLU"
  721. bottom: "stage1_2/branch1b"
  722. top: "stage1_2/branch1b"
  723. }
  724. layer {
  725. name: "stage1_2/branch2a"
  726. type: "Convolution"
  727. bottom: "stage1_1/concat"
  728. top: "stage1_2/branch2a"
  729. convolution_param {
  730. num_output: 16
  731. bias_term: false
  732. pad: 0
  733. kernel_size: 1
  734. stride: 1
  735. weight_filler {
  736. type: "xavier"
  737. }
  738. bias_filler {
  739. type: "constant"
  740. }
  741. }
  742. }
  743. layer {
  744. name: "stage1_2/branch2a/bn"
  745. type: "BatchNorm"
  746. bottom: "stage1_2/branch2a"
  747. top: "stage1_2/branch2a"
  748. param {
  749. lr_mult: 0
  750. decay_mult: 0
  751. }
  752. param {
  753. lr_mult: 0
  754. decay_mult: 0
  755. }
  756. param {
  757. lr_mult: 0
  758. decay_mult: 0
  759. }
  760. batch_norm_param {
  761. moving_average_fraction: 0.999
  762. eps: 0.001
  763. }
  764. }
  765. layer {
  766. name: "stage1_2/branch2a/scale"
  767. type: "Scale"
  768. bottom: "stage1_2/branch2a"
  769. top: "stage1_2/branch2a"
  770. scale_param {
  771. filler {
  772. value: 1
  773. }
  774. bias_term: true
  775. bias_filler {
  776. value: 0
  777. }
  778. }
  779. }
  780. layer {
  781. name: "stage1_2/branch2a/relu"
  782. type: "ReLU"
  783. bottom: "stage1_2/branch2a"
  784. top: "stage1_2/branch2a"
  785. }
  786. layer {
  787. name: "stage1_2/branch2b"
  788. type: "Convolution"
  789. bottom: "stage1_2/branch2a"
  790. top: "stage1_2/branch2b"
  791. convolution_param {
  792. num_output: 16
  793. bias_term: false
  794. pad: 1
  795. kernel_size: 3
  796. stride: 1
  797. weight_filler {
  798. type: "xavier"
  799. }
  800. bias_filler {
  801. type: "constant"
  802. }
  803. }
  804. }
  805. layer {
  806. name: "stage1_2/branch2b/bn"
  807. type: "BatchNorm"
  808. bottom: "stage1_2/branch2b"
  809. top: "stage1_2/branch2b"
  810. param {
  811. lr_mult: 0
  812. decay_mult: 0
  813. }
  814. param {
  815. lr_mult: 0
  816. decay_mult: 0
  817. }
  818. param {
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  829. type: "Scale"
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  831. top: "stage1_2/branch2b"
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  841. }
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  844. type: "ReLU"
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  846. top: "stage1_2/branch2b"
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  865. }
  866. }
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  869. type: "BatchNorm"
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  871. top: "stage1_2/branch2c"
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  893. top: "stage1_2/branch2c"
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  902. }
  903. }
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  908. top: "stage1_2/branch2c"
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  913. bottom: "stage1_1/concat"
  914. bottom: "stage1_2/branch1b"
  915. bottom: "stage1_2/branch2c"
  916. top: "stage1_2/concat"
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  923. type: "Convolution"
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  925. top: "stage1_3/branch1a"
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  935. bias_filler {
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  938. }
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  966. top: "stage1_3/branch1a"
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  979. type: "ReLU"
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  981. top: "stage1_3/branch1a"
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  985. type: "Convolution"
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  1006. top: "stage1_3/branch1b"
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  1026. type: "Scale"
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  1028. top: "stage1_3/branch1b"
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  1041. type: "ReLU"
  1042. bottom: "stage1_3/branch1b"
  1043. top: "stage1_3/branch1b"
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  1045. layer {
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  1047. type: "Convolution"
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  1066. type: "BatchNorm"
  1067. bottom: "stage1_3/branch2a"
  1068. top: "stage1_3/branch2a"
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  1090. top: "stage1_3/branch2a"
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  1103. type: "ReLU"
  1104. bottom: "stage1_3/branch2a"
  1105. top: "stage1_3/branch2a"
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  1107. layer {
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  1109. type: "Convolution"
  1110. bottom: "stage1_3/branch2a"
  1111. top: "stage1_3/branch2b"
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  1114. bias_term: false
  1115. pad: 1
  1116. kernel_size: 3
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  1120. }
  1121. bias_filler {
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  1123. }
  1124. }
  1125. }
  1126. layer {
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  1128. type: "BatchNorm"
  1129. bottom: "stage1_3/branch2b"
  1130. top: "stage1_3/branch2b"
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  1135. param {
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  1148. layer {
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  1150. type: "Scale"
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  1152. top: "stage1_3/branch2b"
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  1165. type: "ReLU"
  1166. bottom: "stage1_3/branch2b"
  1167. top: "stage1_3/branch2b"
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  1169. layer {
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  1171. type: "Convolution"
  1172. bottom: "stage1_3/branch2b"
  1173. top: "stage1_3/branch2c"
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  1187. }
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  1190. type: "BatchNorm"
  1191. bottom: "stage1_3/branch2c"
  1192. top: "stage1_3/branch2c"
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  1197. param {
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  1201. param {
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  1210. layer {
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  1212. type: "Scale"
  1213. bottom: "stage1_3/branch2c"
  1214. top: "stage1_3/branch2c"
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  1225. layer {
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  1227. type: "ReLU"
  1228. bottom: "stage1_3/branch2c"
  1229. top: "stage1_3/branch2c"
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  1231. layer {
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  1233. type: "Concat"
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  1235. bottom: "stage1_3/branch1b"
  1236. bottom: "stage1_3/branch2c"
  1237. top: "stage1_3/concat"
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  1244. type: "Convolution"
  1245. bottom: "stage1_3/concat"
  1246. top: "stage1_tb"
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  1259. }
  1260. }
  1261. layer {
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  1263. type: "BatchNorm"
  1264. bottom: "stage1_tb"
  1265. top: "stage1_tb"
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  1270. param {
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  1283. layer {
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  1285. type: "Scale"
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  1287. top: "stage1_tb"
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  1298. layer {
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  1300. type: "ReLU"
  1301. bottom: "stage1_tb"
  1302. top: "stage1_tb"
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  1304. layer {
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  1306. type: "Pooling"
  1307. bottom: "stage1_tb"
  1308. top: "stage1_tb/pool"
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  1318. bottom: "stage1_tb/pool"
  1319. top: "stage2_1/branch1a"
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  1322. bias_term: false
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  1329. bias_filler {
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  1333. }
  1334. layer {
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  1336. type: "BatchNorm"
  1337. bottom: "stage2_1/branch1a"
  1338. top: "stage2_1/branch1a"
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  1343. param {
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  1347. param {
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  1356. layer {
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  1358. type: "Scale"
  1359. bottom: "stage2_1/branch1a"
  1360. top: "stage2_1/branch1a"
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  1365. bias_term: true
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  1371. layer {
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  1373. type: "ReLU"
  1374. bottom: "stage2_1/branch1a"
  1375. top: "stage2_1/branch1a"
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  1377. layer {
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  1380. bottom: "stage2_1/branch1a"
  1381. top: "stage2_1/branch1b"
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  1396. layer {
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  1398. type: "BatchNorm"
  1399. bottom: "stage2_1/branch1b"
  1400. top: "stage2_1/branch1b"
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  1418. layer {
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  1420. type: "Scale"
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  1422. top: "stage2_1/branch1b"
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  1433. layer {
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  1435. type: "ReLU"
  1436. bottom: "stage2_1/branch1b"
  1437. top: "stage2_1/branch1b"
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  1439. layer {
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  1441. type: "Convolution"
  1442. bottom: "stage1_tb/pool"
  1443. top: "stage2_1/branch2a"
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  1456. }
  1457. }
  1458. layer {
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  1460. type: "BatchNorm"
  1461. bottom: "stage2_1/branch2a"
  1462. top: "stage2_1/branch2a"
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  1467. param {
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  1480. layer {
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  1482. type: "Scale"
  1483. bottom: "stage2_1/branch2a"
  1484. top: "stage2_1/branch2a"
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  1495. layer {
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  1497. type: "ReLU"
  1498. bottom: "stage2_1/branch2a"
  1499. top: "stage2_1/branch2a"
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  1501. layer {
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  1503. type: "Convolution"
  1504. bottom: "stage2_1/branch2a"
  1505. top: "stage2_1/branch2b"
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  1518. }
  1519. }
  1520. layer {
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  1522. type: "BatchNorm"
  1523. bottom: "stage2_1/branch2b"
  1524. top: "stage2_1/branch2b"
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  1542. layer {
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  1544. type: "Scale"
  1545. bottom: "stage2_1/branch2b"
  1546. top: "stage2_1/branch2b"
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  1557. layer {
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  1559. type: "ReLU"
  1560. bottom: "stage2_1/branch2b"
  1561. top: "stage2_1/branch2b"
  1562. }
  1563. layer {
  1564. name: "stage2_1/branch2c"
  1565. type: "Convolution"
  1566. bottom: "stage2_1/branch2b"
  1567. top: "stage2_1/branch2c"
  1568. convolution_param {
  1569. num_output: 16
  1570. bias_term: false
  1571. pad: 1
  1572. kernel_size: 3
  1573. stride: 1
  1574. weight_filler {
  1575. type: "xavier"
  1576. }
  1577. bias_filler {
  1578. type: "constant"
  1579. }
  1580. }
  1581. }
  1582. layer {
  1583. name: "stage2_1/branch2c/bn"
  1584. type: "BatchNorm"
  1585. bottom: "stage2_1/branch2c"
  1586. top: "stage2_1/branch2c"
  1587. param {
  1588. lr_mult: 0
  1589. decay_mult: 0
  1590. }
  1591. param {
  1592. lr_mult: 0
  1593. decay_mult: 0
  1594. }
  1595. param {
  1596. lr_mult: 0
  1597. decay_mult: 0
  1598. }
  1599. batch_norm_param {
  1600. moving_average_fraction: 0.999
  1601. eps: 0.001
  1602. }
  1603. }
  1604. layer {
  1605. name: "stage2_1/branch2c/scale"
  1606. type: "Scale"
  1607. bottom: "stage2_1/branch2c"
  1608. top: "stage2_1/branch2c"
  1609. scale_param {
  1610. filler {
  1611. value: 1
  1612. }
  1613. bias_term: true
  1614. bias_filler {
  1615. value: 0
  1616. }
  1617. }
  1618. }
  1619. layer {
  1620. name: "stage2_1/branch2c/relu"
  1621. type: "ReLU"
  1622. bottom: "stage2_1/branch2c"
  1623. top: "stage2_1/branch2c"
  1624. }
  1625. layer {
  1626. name: "stage2_1/concat"
  1627. type: "Concat"
  1628. bottom: "stage1_tb/pool"
  1629. bottom: "stage2_1/branch1b"
  1630. bottom: "stage2_1/branch2c"
  1631. top: "stage2_1/concat"
  1632. concat_param {
  1633. axis: 1
  1634. }
  1635. }
  1636. layer {
  1637. name: "stage2_2/branch1a"
  1638. type: "Convolution"
  1639. bottom: "stage2_1/concat"
  1640. top: "stage2_2/branch1a"
  1641. convolution_param {
  1642. num_output: 32
  1643. bias_term: false
  1644. pad: 0
  1645. kernel_size: 1
  1646. stride: 1
  1647. weight_filler {
  1648. type: "xavier"
  1649. }
  1650. bias_filler {
  1651. type: "constant"
  1652. }
  1653. }
  1654. }
  1655. layer {
  1656. name: "stage2_2/branch1a/bn"
  1657. type: "BatchNorm"
  1658. bottom: "stage2_2/branch1a"
  1659. top: "stage2_2/branch1a"
  1660. param {
  1661. lr_mult: 0
  1662. decay_mult: 0
  1663. }
  1664. param {
  1665. lr_mult: 0
  1666. decay_mult: 0
  1667. }
  1668. param {
  1669. lr_mult: 0
  1670. decay_mult: 0
  1671. }
  1672. batch_norm_param {
  1673. moving_average_fraction: 0.999
  1674. eps: 0.001
  1675. }
  1676. }
  1677. layer {
  1678. name: "stage2_2/branch1a/scale"
  1679. type: "Scale"
  1680. bottom: "stage2_2/branch1a"
  1681. top: "stage2_2/branch1a"
  1682. scale_param {
  1683. filler {
  1684. value: 1
  1685. }
  1686. bias_term: true
  1687. bias_filler {
  1688. value: 0
  1689. }
  1690. }
  1691. }
  1692. layer {
  1693. name: "stage2_2/branch1a/relu"
  1694. type: "ReLU"
  1695. bottom: "stage2_2/branch1a"
  1696. top: "stage2_2/branch1a"
  1697. }
  1698. layer {
  1699. name: "stage2_2/branch1b"
  1700. type: "Convolution"
  1701. bottom: "stage2_2/branch1a"
  1702. top: "stage2_2/branch1b"
  1703. convolution_param {
  1704. num_output: 16
  1705. bias_term: false
  1706. pad: 1
  1707. kernel_size: 3
  1708. stride: 1
  1709. weight_filler {
  1710. type: "xavier"
  1711. }
  1712. bias_filler {
  1713. type: "constant"
  1714. }
  1715. }
  1716. }
  1717. layer {
  1718. name: "stage2_2/branch1b/bn"
  1719. type: "BatchNorm"
  1720. bottom: "stage2_2/branch1b"
  1721. top: "stage2_2/branch1b"
  1722. param {
  1723. lr_mult: 0
  1724. decay_mult: 0
  1725. }
  1726. param {
  1727. lr_mult: 0
  1728. decay_mult: 0
  1729. }
  1730. param {
  1731. lr_mult: 0
  1732. decay_mult: 0
  1733. }
  1734. batch_norm_param {
  1735. moving_average_fraction: 0.999
  1736. eps: 0.001
  1737. }
  1738. }
  1739. layer {
  1740. name: "stage2_2/branch1b/scale"
  1741. type: "Scale"
  1742. bottom: "stage2_2/branch1b"
  1743. top: "stage2_2/branch1b"
  1744. scale_param {
  1745. filler {
  1746. value: 1
  1747. }
  1748. bias_term: true
  1749. bias_filler {
  1750. value: 0
  1751. }
  1752. }
  1753. }
  1754. layer {
  1755. name: "stage2_2/branch1b/relu"
  1756. type: "ReLU"
  1757. bottom: "stage2_2/branch1b"
  1758. top: "stage2_2/branch1b"
  1759. }
  1760. layer {
  1761. name: "stage2_2/branch2a"
  1762. type: "Convolution"
  1763. bottom: "stage2_1/concat"
  1764. top: "stage2_2/branch2a"
  1765. convolution_param {
  1766. num_output: 32
  1767. bias_term: false
  1768. pad: 0
  1769. kernel_size: 1
  1770. stride: 1
  1771. weight_filler {
  1772. type: "xavier"
  1773. }
  1774. bias_filler {
  1775. type: "constant"
  1776. }
  1777. }
  1778. }
  1779. layer {
  1780. name: "stage2_2/branch2a/bn"
  1781. type: "BatchNorm"
  1782. bottom: "stage2_2/branch2a"
  1783. top: "stage2_2/branch2a"
  1784. param {
  1785. lr_mult: 0
  1786. decay_mult: 0
  1787. }
  1788. param {
  1789. lr_mult: 0
  1790. decay_mult: 0
  1791. }
  1792. param {
  1793. lr_mult: 0
  1794. decay_mult: 0
  1795. }
  1796. batch_norm_param {
  1797. moving_average_fraction: 0.999
  1798. eps: 0.001
  1799. }
  1800. }
  1801. layer {
  1802. name: "stage2_2/branch2a/scale"
  1803. type: "Scale"
  1804. bottom: "stage2_2/branch2a"
  1805. top: "stage2_2/branch2a"
  1806. scale_param {
  1807. filler {
  1808. value: 1
  1809. }
  1810. bias_term: true
  1811. bias_filler {
  1812. value: 0
  1813. }
  1814. }
  1815. }
  1816. layer {
  1817. name: "stage2_2/branch2a/relu"
  1818. type: "ReLU"
  1819. bottom: "stage2_2/branch2a"
  1820. top: "stage2_2/branch2a"
  1821. }
  1822. layer {
  1823. name: "stage2_2/branch2b"
  1824. type: "Convolution"
  1825. bottom: "stage2_2/branch2a"
  1826. top: "stage2_2/branch2b"
  1827. convolution_param {
  1828. num_output: 16
  1829. bias_term: false
  1830. pad: 1
  1831. kernel_size: 3
  1832. stride: 1
  1833. weight_filler {
  1834. type: "xavier"
  1835. }
  1836. bias_filler {
  1837. type: "constant"
  1838. }
  1839. }
  1840. }
  1841. layer {
  1842. name: "stage2_2/branch2b/bn"
  1843. type: "BatchNorm"
  1844. bottom: "stage2_2/branch2b"
  1845. top: "stage2_2/branch2b"
  1846. param {
  1847. lr_mult: 0
  1848. decay_mult: 0
  1849. }
  1850. param {
  1851. lr_mult: 0
  1852. decay_mult: 0
  1853. }
  1854. param {
  1855. lr_mult: 0
  1856. decay_mult: 0
  1857. }
  1858. batch_norm_param {
  1859. moving_average_fraction: 0.999
  1860. eps: 0.001
  1861. }
  1862. }
  1863. layer {
  1864. name: "stage2_2/branch2b/scale"
  1865. type: "Scale"
  1866. bottom: "stage2_2/branch2b"
  1867. top: "stage2_2/branch2b"
  1868. scale_param {
  1869. filler {
  1870. value: 1
  1871. }
  1872. bias_term: true
  1873. bias_filler {
  1874. value: 0
  1875. }
  1876. }
  1877. }
  1878. layer {
  1879. name: "stage2_2/branch2b/relu"
  1880. type: "ReLU"
  1881. bottom: "stage2_2/branch2b"
  1882. top: "stage2_2/branch2b"
  1883. }
  1884. layer {
  1885. name: "stage2_2/branch2c"
  1886. type: "Convolution"
  1887. bottom: "stage2_2/branch2b"
  1888. top: "stage2_2/branch2c"
  1889. convolution_param {
  1890. num_output: 16
  1891. bias_term: false
  1892. pad: 1
  1893. kernel_size: 3
  1894. stride: 1
  1895. weight_filler {
  1896. type: "xavier"
  1897. }
  1898. bias_filler {
  1899. type: "constant"
  1900. }
  1901. }
  1902. }
  1903. layer {
  1904. name: "stage2_2/branch2c/bn"
  1905. type: "BatchNorm"
  1906. bottom: "stage2_2/branch2c"
  1907. top: "stage2_2/branch2c"
  1908. param {
  1909. lr_mult: 0
  1910. decay_mult: 0
  1911. }
  1912. param {
  1913. lr_mult: 0
  1914. decay_mult: 0
  1915. }
  1916. param {
  1917. lr_mult: 0
  1918. decay_mult: 0
  1919. }
  1920. batch_norm_param {
  1921. moving_average_fraction: 0.999
  1922. eps: 0.001
  1923. }
  1924. }
  1925. layer {
  1926. name: "stage2_2/branch2c/scale"
  1927. type: "Scale"
  1928. bottom: "stage2_2/branch2c"
  1929. top: "stage2_2/branch2c"
  1930. scale_param {
  1931. filler {
  1932. value: 1
  1933. }
  1934. bias_term: true
  1935. bias_filler {
  1936. value: 0
  1937. }
  1938. }
  1939. }
  1940. layer {
  1941. name: "stage2_2/branch2c/relu"
  1942. type: "ReLU"
  1943. bottom: "stage2_2/branch2c"
  1944. top: "stage2_2/branch2c"
  1945. }
  1946. layer {
  1947. name: "stage2_2/concat"
  1948. type: "Concat"
  1949. bottom: "stage2_1/concat"
  1950. bottom: "stage2_2/branch1b"
  1951. bottom: "stage2_2/branch2c"
  1952. top: "stage2_2/concat"
  1953. concat_param {
  1954. axis: 1
  1955. }
  1956. }
  1957. layer {
  1958. name: "stage2_3/branch1a"
  1959. type: "Convolution"
  1960. bottom: "stage2_2/concat"
  1961. top: "stage2_3/branch1a"
  1962. convolution_param {
  1963. num_output: 32
  1964. bias_term: false
  1965. pad: 0
  1966. kernel_size: 1
  1967. stride: 1
  1968. weight_filler {
  1969. type: "xavier"
  1970. }
  1971. bias_filler {
  1972. type: "constant"
  1973. }
  1974. }
  1975. }
  1976. layer {
  1977. name: "stage2_3/branch1a/bn"
  1978. type: "BatchNorm"
  1979. bottom: "stage2_3/branch1a"
  1980. top: "stage2_3/branch1a"
  1981. param {
  1982. lr_mult: 0
  1983. decay_mult: 0
  1984. }
  1985. param {
  1986. lr_mult: 0
  1987. decay_mult: 0
  1988. }
  1989. param {
  1990. lr_mult: 0
  1991. decay_mult: 0
  1992. }
  1993. batch_norm_param {
  1994. moving_average_fraction: 0.999
  1995. eps: 0.001
  1996. }
  1997. }
  1998. layer {
  1999. name: "stage2_3/branch1a/scale"
  2000. type: "Scale"
  2001. bottom: "stage2_3/branch1a"
  2002. top: "stage2_3/branch1a"
  2003. scale_param {
  2004. filler {
  2005. value: 1
  2006. }
  2007. bias_term: true
  2008. bias_filler {
  2009. value: 0
  2010. }
  2011. }
  2012. }
  2013. layer {
  2014. name: "stage2_3/branch1a/relu"
  2015. type: "ReLU"
  2016. bottom: "stage2_3/branch1a"
  2017. top: "stage2_3/branch1a"
  2018. }
  2019. layer {
  2020. name: "stage2_3/branch1b"
  2021. type: "Convolution"
  2022. bottom: "stage2_3/branch1a"
  2023. top: "stage2_3/branch1b"
  2024. convolution_param {
  2025. num_output: 16
  2026. bias_term: false
  2027. pad: 1
  2028. kernel_size: 3
  2029. stride: 1
  2030. weight_filler {
  2031. type: "xavier"
  2032. }
  2033. bias_filler {
  2034. type: "constant"
  2035. }
  2036. }
  2037. }
  2038. layer {
  2039. name: "stage2_3/branch1b/bn"
  2040. type: "BatchNorm"
  2041. bottom: "stage2_3/branch1b"
  2042. top: "stage2_3/branch1b"
  2043. param {
  2044. lr_mult: 0
  2045. decay_mult: 0
  2046. }
  2047. param {
  2048. lr_mult: 0
  2049. decay_mult: 0
  2050. }
  2051. param {
  2052. lr_mult: 0
  2053. decay_mult: 0
  2054. }
  2055. batch_norm_param {
  2056. moving_average_fraction: 0.999
  2057. eps: 0.001
  2058. }
  2059. }
  2060. layer {
  2061. name: "stage2_3/branch1b/scale"
  2062. type: "Scale"
  2063. bottom: "stage2_3/branch1b"
  2064. top: "stage2_3/branch1b"
  2065. scale_param {
  2066. filler {
  2067. value: 1
  2068. }
  2069. bias_term: true
  2070. bias_filler {
  2071. value: 0
  2072. }
  2073. }
  2074. }
  2075. layer {
  2076. name: "stage2_3/branch1b/relu"
  2077. type: "ReLU"
  2078. bottom: "stage2_3/branch1b"
  2079. top: "stage2_3/branch1b"
  2080. }
  2081. layer {
  2082. name: "stage2_3/branch2a"
  2083. type: "Convolution"
  2084. bottom: "stage2_2/concat"
  2085. top: "stage2_3/branch2a"
  2086. convolution_param {
  2087. num_output: 32
  2088. bias_term: false
  2089. pad: 0
  2090. kernel_size: 1
  2091. stride: 1
  2092. weight_filler {
  2093. type: "xavier"
  2094. }
  2095. bias_filler {
  2096. type: "constant"
  2097. }
  2098. }
  2099. }
  2100. layer {
  2101. name: "stage2_3/branch2a/bn"
  2102. type: "BatchNorm"
  2103. bottom: "stage2_3/branch2a"
  2104. top: "stage2_3/branch2a"
  2105. param {
  2106. lr_mult: 0
  2107. decay_mult: 0
  2108. }
  2109. param {
  2110. lr_mult: 0
  2111. decay_mult: 0
  2112. }
  2113. param {
  2114. lr_mult: 0
  2115. decay_mult: 0
  2116. }
  2117. batch_norm_param {
  2118. moving_average_fraction: 0.999
  2119. eps: 0.001
  2120. }
  2121. }
  2122. layer {
  2123. name: "stage2_3/branch2a/scale"
  2124. type: "Scale"
  2125. bottom: "stage2_3/branch2a"
  2126. top: "stage2_3/branch2a"
  2127. scale_param {
  2128. filler {
  2129. value: 1
  2130. }
  2131. bias_term: true
  2132. bias_filler {
  2133. value: 0
  2134. }
  2135. }
  2136. }
  2137. layer {
  2138. name: "stage2_3/branch2a/relu"
  2139. type: "ReLU"
  2140. bottom: "stage2_3/branch2a"
  2141. top: "stage2_3/branch2a"
  2142. }
  2143. layer {
  2144. name: "stage2_3/branch2b"
  2145. type: "Convolution"
  2146. bottom: "stage2_3/branch2a"
  2147. top: "stage2_3/branch2b"
  2148. convolution_param {
  2149. num_output: 16
  2150. bias_term: false
  2151. pad: 1
  2152. kernel_size: 3
  2153. stride: 1
  2154. weight_filler {
  2155. type: "xavier"
  2156. }
  2157. bias_filler {
  2158. type: "constant"
  2159. }
  2160. }
  2161. }
  2162. layer {
  2163. name: "stage2_3/branch2b/bn"
  2164. type: "BatchNorm"
  2165. bottom: "stage2_3/branch2b"
  2166. top: "stage2_3/branch2b"
  2167. param {
  2168. lr_mult: 0
  2169. decay_mult: 0
  2170. }
  2171. param {
  2172. lr_mult: 0
  2173. decay_mult: 0
  2174. }
  2175. param {
  2176. lr_mult: 0
  2177. decay_mult: 0
  2178. }
  2179. batch_norm_param {
  2180. moving_average_fraction: 0.999
  2181. eps: 0.001
  2182. }
  2183. }
  2184. layer {
  2185. name: "stage2_3/branch2b/scale"
  2186. type: "Scale"
  2187. bottom: "stage2_3/branch2b"
  2188. top: "stage2_3/branch2b"
  2189. scale_param {
  2190. filler {
  2191. value: 1
  2192. }
  2193. bias_term: true
  2194. bias_filler {
  2195. value: 0
  2196. }
  2197. }
  2198. }
  2199. layer {
  2200. name: "stage2_3/branch2b/relu"
  2201. type: "ReLU"
  2202. bottom: "stage2_3/branch2b"
  2203. top: "stage2_3/branch2b"
  2204. }
  2205. layer {
  2206. name: "stage2_3/branch2c"
  2207. type: "Convolution"
  2208. bottom: "stage2_3/branch2b"
  2209. top: "stage2_3/branch2c"
  2210. convolution_param {
  2211. num_output: 16
  2212. bias_term: false
  2213. pad: 1
  2214. kernel_size: 3
  2215. stride: 1
  2216. weight_filler {
  2217. type: "xavier"
  2218. }
  2219. bias_filler {
  2220. type: "constant"
  2221. }
  2222. }
  2223. }
  2224. layer {
  2225. name: "stage2_3/branch2c/bn"
  2226. type: "BatchNorm"
  2227. bottom: "stage2_3/branch2c"
  2228. top: "stage2_3/branch2c"
  2229. param {
  2230. lr_mult: 0
  2231. decay_mult: 0
  2232. }
  2233. param {
  2234. lr_mult: 0
  2235. decay_mult: 0
  2236. }
  2237. param {
  2238. lr_mult: 0
  2239. decay_mult: 0
  2240. }
  2241. batch_norm_param {
  2242. moving_average_fraction: 0.999
  2243. eps: 0.001
  2244. }
  2245. }
  2246. layer {
  2247. name: "stage2_3/branch2c/scale"
  2248. type: "Scale"
  2249. bottom: "stage2_3/branch2c"
  2250. top: "stage2_3/branch2c"
  2251. scale_param {
  2252. filler {
  2253. value: 1
  2254. }
  2255. bias_term: true
  2256. bias_filler {
  2257. value: 0
  2258. }
  2259. }
  2260. }
  2261. layer {
  2262. name: "stage2_3/branch2c/relu"
  2263. type: "ReLU"
  2264. bottom: "stage2_3/branch2c"
  2265. top: "stage2_3/branch2c"
  2266. }
  2267. layer {
  2268. name: "stage2_3/concat"
  2269. type: "Concat"
  2270. bottom: "stage2_2/concat"
  2271. bottom: "stage2_3/branch1b"
  2272. bottom: "stage2_3/branch2c"
  2273. top: "stage2_3/concat"
  2274. concat_param {
  2275. axis: 1
  2276. }
  2277. }
  2278. layer {
  2279. name: "stage2_4/branch1a"
  2280. type: "Convolution"
  2281. bottom: "stage2_3/concat"
  2282. top: "stage2_4/branch1a"
  2283. convolution_param {
  2284. num_output: 32
  2285. bias_term: false
  2286. pad: 0
  2287. kernel_size: 1
  2288. stride: 1
  2289. weight_filler {
  2290. type: "xavier"
  2291. }
  2292. bias_filler {
  2293. type: "constant"
  2294. }
  2295. }
  2296. }
  2297. layer {
  2298. name: "stage2_4/branch1a/bn"
  2299. type: "BatchNorm"
  2300. bottom: "stage2_4/branch1a"
  2301. top: "stage2_4/branch1a"
  2302. param {
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  2304. decay_mult: 0
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  2306. param {
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  2314. batch_norm_param {
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  2316. eps: 0.001
  2317. }
  2318. }
  2319. layer {
  2320. name: "stage2_4/branch1a/scale"
  2321. type: "Scale"
  2322. bottom: "stage2_4/branch1a"
  2323. top: "stage2_4/branch1a"
  2324. scale_param {
  2325. filler {
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  2327. }
  2328. bias_term: true
  2329. bias_filler {
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  2331. }
  2332. }
  2333. }
  2334. layer {
  2335. name: "stage2_4/branch1a/relu"
  2336. type: "ReLU"
  2337. bottom: "stage2_4/branch1a"
  2338. top: "stage2_4/branch1a"
  2339. }
  2340. layer {
  2341. name: "stage2_4/branch1b"
  2342. type: "Convolution"
  2343. bottom: "stage2_4/branch1a"
  2344. top: "stage2_4/branch1b"
  2345. convolution_param {
  2346. num_output: 16
  2347. bias_term: false
  2348. pad: 1
  2349. kernel_size: 3
  2350. stride: 1
  2351. weight_filler {
  2352. type: "xavier"
  2353. }
  2354. bias_filler {
  2355. type: "constant"
  2356. }
  2357. }
  2358. }
  2359. layer {
  2360. name: "stage2_4/branch1b/bn"
  2361. type: "BatchNorm"
  2362. bottom: "stage2_4/branch1b"
  2363. top: "stage2_4/branch1b"
  2364. param {
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  2366. decay_mult: 0
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  2368. param {
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  2370. decay_mult: 0
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  2372. param {
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  2374. decay_mult: 0
  2375. }
  2376. batch_norm_param {
  2377. moving_average_fraction: 0.999
  2378. eps: 0.001
  2379. }
  2380. }
  2381. layer {
  2382. name: "stage2_4/branch1b/scale"
  2383. type: "Scale"
  2384. bottom: "stage2_4/branch1b"
  2385. top: "stage2_4/branch1b"
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  2387. filler {
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  2389. }
  2390. bias_term: true
  2391. bias_filler {
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  2393. }
  2394. }
  2395. }
  2396. layer {
  2397. name: "stage2_4/branch1b/relu"
  2398. type: "ReLU"
  2399. bottom: "stage2_4/branch1b"
  2400. top: "stage2_4/branch1b"
  2401. }
  2402. layer {
  2403. name: "stage2_4/branch2a"
  2404. type: "Convolution"
  2405. bottom: "stage2_3/concat"
  2406. top: "stage2_4/branch2a"
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  2409. bias_term: false
  2410. pad: 0
  2411. kernel_size: 1
  2412. stride: 1
  2413. weight_filler {
  2414. type: "xavier"
  2415. }
  2416. bias_filler {
  2417. type: "constant"
  2418. }
  2419. }
  2420. }
  2421. layer {
  2422. name: "stage2_4/branch2a/bn"
  2423. type: "BatchNorm"
  2424. bottom: "stage2_4/branch2a"
  2425. top: "stage2_4/branch2a"
  2426. param {
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  2428. decay_mult: 0
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  2430. param {
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  2432. decay_mult: 0
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  2434. param {
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  2438. batch_norm_param {
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  2440. eps: 0.001
  2441. }
  2442. }
  2443. layer {
  2444. name: "stage2_4/branch2a/scale"
  2445. type: "Scale"
  2446. bottom: "stage2_4/branch2a"
  2447. top: "stage2_4/branch2a"
  2448. scale_param {
  2449. filler {
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  2452. bias_term: true
  2453. bias_filler {
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  2455. }
  2456. }
  2457. }
  2458. layer {
  2459. name: "stage2_4/branch2a/relu"
  2460. type: "ReLU"
  2461. bottom: "stage2_4/branch2a"
  2462. top: "stage2_4/branch2a"
  2463. }
  2464. layer {
  2465. name: "stage2_4/branch2b"
  2466. type: "Convolution"
  2467. bottom: "stage2_4/branch2a"
  2468. top: "stage2_4/branch2b"
  2469. convolution_param {
  2470. num_output: 16
  2471. bias_term: false
  2472. pad: 1
  2473. kernel_size: 3
  2474. stride: 1
  2475. weight_filler {
  2476. type: "xavier"
  2477. }
  2478. bias_filler {
  2479. type: "constant"
  2480. }
  2481. }
  2482. }
  2483. layer {
  2484. name: "stage2_4/branch2b/bn"
  2485. type: "BatchNorm"
  2486. bottom: "stage2_4/branch2b"
  2487. top: "stage2_4/branch2b"
  2488. param {
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  2490. decay_mult: 0
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  2492. param {
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  2494. decay_mult: 0
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  2500. batch_norm_param {
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  2502. eps: 0.001
  2503. }
  2504. }
  2505. layer {
  2506. name: "stage2_4/branch2b/scale"
  2507. type: "Scale"
  2508. bottom: "stage2_4/branch2b"
  2509. top: "stage2_4/branch2b"
  2510. scale_param {
  2511. filler {
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  2513. }
  2514. bias_term: true
  2515. bias_filler {
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  2517. }
  2518. }
  2519. }
  2520. layer {
  2521. name: "stage2_4/branch2b/relu"
  2522. type: "ReLU"
  2523. bottom: "stage2_4/branch2b"
  2524. top: "stage2_4/branch2b"
  2525. }
  2526. layer {
  2527. name: "stage2_4/branch2c"
  2528. type: "Convolution"
  2529. bottom: "stage2_4/branch2b"
  2530. top: "stage2_4/branch2c"
  2531. convolution_param {
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  2533. bias_term: false
  2534. pad: 1
  2535. kernel_size: 3
  2536. stride: 1
  2537. weight_filler {
  2538. type: "xavier"
  2539. }
  2540. bias_filler {
  2541. type: "constant"
  2542. }
  2543. }
  2544. }
  2545. layer {
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  2547. type: "BatchNorm"
  2548. bottom: "stage2_4/branch2c"
  2549. top: "stage2_4/branch2c"
  2550. param {
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  2552. decay_mult: 0
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  2554. param {
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  2556. decay_mult: 0
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  2558. param {
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  2560. decay_mult: 0
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  2562. batch_norm_param {
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  2564. eps: 0.001
  2565. }
  2566. }
  2567. layer {
  2568. name: "stage2_4/branch2c/scale"
  2569. type: "Scale"
  2570. bottom: "stage2_4/branch2c"
  2571. top: "stage2_4/branch2c"
  2572. scale_param {
  2573. filler {
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  2575. }
  2576. bias_term: true
  2577. bias_filler {
  2578. value: 0
  2579. }
  2580. }
  2581. }
  2582. layer {
  2583. name: "stage2_4/branch2c/relu"
  2584. type: "ReLU"
  2585. bottom: "stage2_4/branch2c"
  2586. top: "stage2_4/branch2c"
  2587. }
  2588. layer {
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  2590. type: "Concat"
  2591. bottom: "stage2_3/concat"
  2592. bottom: "stage2_4/branch1b"
  2593. bottom: "stage2_4/branch2c"
  2594. top: "stage2_4/concat"
  2595. concat_param {
  2596. axis: 1
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  2598. }
  2599. layer {
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  2601. type: "Convolution"
  2602. bottom: "stage2_4/concat"
  2603. top: "stage2_tb"
  2604. convolution_param {
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  2606. bias_term: false
  2607. pad: 0
  2608. kernel_size: 1
  2609. stride: 1
  2610. weight_filler {
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  2612. }
  2613. bias_filler {
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  2615. }
  2616. }
  2617. }
  2618. layer {
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  2620. type: "BatchNorm"
  2621. bottom: "stage2_tb"
  2622. top: "stage2_tb"
  2623. param {
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  2625. decay_mult: 0
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  2627. param {
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  2631. param {
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  2635. batch_norm_param {
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  2640. layer {
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  2642. type: "Scale"
  2643. bottom: "stage2_tb"
  2644. top: "stage2_tb"
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  2649. bias_term: true
  2650. bias_filler {
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  2653. }
  2654. }
  2655. layer {
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  2657. type: "ReLU"
  2658. bottom: "stage2_tb"
  2659. top: "stage2_tb"
  2660. }
  2661. layer {
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  2663. type: "Pooling"
  2664. bottom: "stage2_tb"
  2665. top: "stage2_tb/pool"
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  2667. pool: AVE
  2668. kernel_size: 2
  2669. stride: 2
  2670. }
  2671. }
  2672. layer {
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  2674. type: "Convolution"
  2675. bottom: "stage2_tb/pool"
  2676. top: "stage3_1/branch1a"
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  2679. bias_term: false
  2680. pad: 0
  2681. kernel_size: 1
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  2688. }
  2689. }
  2690. }
  2691. layer {
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  2693. type: "BatchNorm"
  2694. bottom: "stage3_1/branch1a"
  2695. top: "stage3_1/branch1a"
  2696. param {
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  2700. param {
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  2704. param {
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  2708. batch_norm_param {
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  2712. }
  2713. layer {
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  2715. type: "Scale"
  2716. bottom: "stage3_1/branch1a"
  2717. top: "stage3_1/branch1a"
  2718. scale_param {
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  2722. bias_term: true
  2723. bias_filler {
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  2726. }
  2727. }
  2728. layer {
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  2730. type: "ReLU"
  2731. bottom: "stage3_1/branch1a"
  2732. top: "stage3_1/branch1a"
  2733. }
  2734. layer {
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  2736. type: "Convolution"
  2737. bottom: "stage3_1/branch1a"
  2738. top: "stage3_1/branch1b"
  2739. convolution_param {
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  2741. bias_term: false
  2742. pad: 1
  2743. kernel_size: 3
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  2748. bias_filler {
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  2750. }
  2751. }
  2752. }
  2753. layer {
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  2755. type: "BatchNorm"
  2756. bottom: "stage3_1/branch1b"
  2757. top: "stage3_1/branch1b"
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  2762. param {
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  2766. param {
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  2770. batch_norm_param {
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  2774. }
  2775. layer {
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  2777. type: "Scale"
  2778. bottom: "stage3_1/branch1b"
  2779. top: "stage3_1/branch1b"
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  2784. bias_term: true
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  2788. }
  2789. }
  2790. layer {
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  2792. type: "ReLU"
  2793. bottom: "stage3_1/branch1b"
  2794. top: "stage3_1/branch1b"
  2795. }
  2796. layer {
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  2798. type: "Convolution"
  2799. bottom: "stage2_tb/pool"
  2800. top: "stage3_1/branch2a"
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  2803. bias_term: false
  2804. pad: 0
  2805. kernel_size: 1
  2806. stride: 1
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  2810. bias_filler {
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  2812. }
  2813. }
  2814. }
  2815. layer {
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  2817. type: "BatchNorm"
  2818. bottom: "stage3_1/branch2a"
  2819. top: "stage3_1/branch2a"
  2820. param {
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  2824. param {
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  2828. param {
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  2836. }
  2837. layer {
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  2839. type: "Scale"
  2840. bottom: "stage3_1/branch2a"
  2841. top: "stage3_1/branch2a"
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  2850. }
  2851. }
  2852. layer {
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  2854. type: "ReLU"
  2855. bottom: "stage3_1/branch2a"
  2856. top: "stage3_1/branch2a"
  2857. }
  2858. layer {
  2859. name: "stage3_1/branch2b"
  2860. type: "Convolution"
  2861. bottom: "stage3_1/branch2a"
  2862. top: "stage3_1/branch2b"
  2863. convolution_param {
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  2865. bias_term: false
  2866. pad: 1
  2867. kernel_size: 3
  2868. stride: 1
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  2871. }
  2872. bias_filler {
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  2874. }
  2875. }
  2876. }
  2877. layer {
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  2879. type: "BatchNorm"
  2880. bottom: "stage3_1/branch2b"
  2881. top: "stage3_1/branch2b"
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  2886. param {
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  2890. param {
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  2894. batch_norm_param {
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  2898. }
  2899. layer {
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  2901. type: "Scale"
  2902. bottom: "stage3_1/branch2b"
  2903. top: "stage3_1/branch2b"
  2904. scale_param {
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  2908. bias_term: true
  2909. bias_filler {
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  2911. }
  2912. }
  2913. }
  2914. layer {
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  2916. type: "ReLU"
  2917. bottom: "stage3_1/branch2b"
  2918. top: "stage3_1/branch2b"
  2919. }
  2920. layer {
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  2922. type: "Convolution"
  2923. bottom: "stage3_1/branch2b"
  2924. top: "stage3_1/branch2c"
  2925. convolution_param {
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  2927. bias_term: false
  2928. pad: 1
  2929. kernel_size: 3
  2930. stride: 1
  2931. weight_filler {
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  2933. }
  2934. bias_filler {
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  2936. }
  2937. }
  2938. }
  2939. layer {
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  2941. type: "BatchNorm"
  2942. bottom: "stage3_1/branch2c"
  2943. top: "stage3_1/branch2c"
  2944. param {
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  2946. decay_mult: 0
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  2948. param {
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  2952. param {
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  2956. batch_norm_param {
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  2960. }
  2961. layer {
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  2963. type: "Scale"
  2964. bottom: "stage3_1/branch2c"
  2965. top: "stage3_1/branch2c"
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  2970. bias_term: true
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  2974. }
  2975. }
  2976. layer {
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  2978. type: "ReLU"
  2979. bottom: "stage3_1/branch2c"
  2980. top: "stage3_1/branch2c"
  2981. }
  2982. layer {
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  2984. type: "Concat"
  2985. bottom: "stage2_tb/pool"
  2986. bottom: "stage3_1/branch1b"
  2987. bottom: "stage3_1/branch2c"
  2988. top: "stage3_1/concat"
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  2992. }
  2993. layer {
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  2995. type: "Convolution"
  2996. bottom: "stage3_1/concat"
  2997. top: "stage3_2/branch1a"
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  3001. pad: 0
  3002. kernel_size: 1
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  3007. bias_filler {
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  3009. }
  3010. }
  3011. }
  3012. layer {
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  3014. type: "BatchNorm"
  3015. bottom: "stage3_2/branch1a"
  3016. top: "stage3_2/branch1a"
  3017. param {
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  3019. decay_mult: 0
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  3031. eps: 0.001
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  3036. type: "Scale"
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  3038. top: "stage3_2/branch1a"
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  3051. type: "ReLU"
  3052. bottom: "stage3_2/branch1a"
  3053. top: "stage3_2/branch1a"
  3054. }
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  3057. type: "Convolution"
  3058. bottom: "stage3_2/branch1a"
  3059. top: "stage3_2/branch1b"
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  3062. bias_term: false
  3063. pad: 1
  3064. kernel_size: 3
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  3068. }
  3069. bias_filler {
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  3071. }
  3072. }
  3073. }
  3074. layer {
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  3076. type: "BatchNorm"
  3077. bottom: "stage3_2/branch1b"
  3078. top: "stage3_2/branch1b"
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  3093. eps: 0.001
  3094. }
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  3098. type: "Scale"
  3099. bottom: "stage3_2/branch1b"
  3100. top: "stage3_2/branch1b"
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  3105. bias_term: true
  3106. bias_filler {
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  3108. }
  3109. }
  3110. }
  3111. layer {
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  3113. type: "ReLU"
  3114. bottom: "stage3_2/branch1b"
  3115. top: "stage3_2/branch1b"
  3116. }
  3117. layer {
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  3119. type: "Convolution"
  3120. bottom: "stage3_1/concat"
  3121. top: "stage3_2/branch2a"
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  3124. bias_term: false
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  3126. kernel_size: 1
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  3131. bias_filler {
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  3133. }
  3134. }
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  3138. type: "BatchNorm"
  3139. bottom: "stage3_2/branch2a"
  3140. top: "stage3_2/branch2a"
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  3162. top: "stage3_2/branch2a"
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  3175. type: "ReLU"
  3176. bottom: "stage3_2/branch2a"
  3177. top: "stage3_2/branch2a"
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  3181. type: "Convolution"
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  3183. top: "stage3_2/branch2b"
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  3200. type: "BatchNorm"
  3201. bottom: "stage3_2/branch2b"
  3202. top: "stage3_2/branch2b"
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  3222. type: "Scale"
  3223. bottom: "stage3_2/branch2b"
  3224. top: "stage3_2/branch2b"
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  3229. bias_term: true
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  3237. type: "ReLU"
  3238. bottom: "stage3_2/branch2b"
  3239. top: "stage3_2/branch2b"
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  3241. layer {
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  3243. type: "Convolution"
  3244. bottom: "stage3_2/branch2b"
  3245. top: "stage3_2/branch2c"
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  3262. type: "BatchNorm"
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  3264. top: "stage3_2/branch2c"
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  3286. top: "stage3_2/branch2c"
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  3299. type: "ReLU"
  3300. bottom: "stage3_2/branch2c"
  3301. top: "stage3_2/branch2c"
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  3305. type: "Concat"
  3306. bottom: "stage3_1/concat"
  3307. bottom: "stage3_2/branch1b"
  3308. bottom: "stage3_2/branch2c"
  3309. top: "stage3_2/concat"
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  3317. bottom: "stage3_2/concat"
  3318. top: "stage3_3/branch1a"
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  3335. type: "BatchNorm"
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  3337. top: "stage3_3/branch1a"
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  3359. top: "stage3_3/branch1a"
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  3372. type: "ReLU"
  3373. bottom: "stage3_3/branch1a"
  3374. top: "stage3_3/branch1a"
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  3378. type: "Convolution"
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  3380. top: "stage3_3/branch1b"
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  3397. type: "BatchNorm"
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  3399. top: "stage3_3/branch1b"
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  3419. type: "Scale"
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  3421. top: "stage3_3/branch1b"
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  3434. type: "ReLU"
  3435. bottom: "stage3_3/branch1b"
  3436. top: "stage3_3/branch1b"
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  3438. layer {
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  3441. bottom: "stage3_2/concat"
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  3461. top: "stage3_3/branch2a"
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  3483. top: "stage3_3/branch2a"
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  3498. top: "stage3_3/branch2a"
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  3504. top: "stage3_3/branch2b"
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  3509. kernel_size: 3
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  3521. type: "BatchNorm"
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  3523. top: "stage3_3/branch2b"
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  3541. layer {
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  3543. type: "Scale"
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  3545. top: "stage3_3/branch2b"
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  3558. type: "ReLU"
  3559. bottom: "stage3_3/branch2b"
  3560. top: "stage3_3/branch2b"
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  3562. layer {
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  3564. type: "Convolution"
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  3566. top: "stage3_3/branch2c"
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  3583. type: "BatchNorm"
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  3585. top: "stage3_3/branch2c"
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  3605. type: "Scale"
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  3607. top: "stage3_3/branch2c"
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  3620. type: "ReLU"
  3621. bottom: "stage3_3/branch2c"
  3622. top: "stage3_3/branch2c"
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  3624. layer {
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  3626. type: "Concat"
  3627. bottom: "stage3_2/concat"
  3628. bottom: "stage3_3/branch1b"
  3629. bottom: "stage3_3/branch2c"
  3630. top: "stage3_3/concat"
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  3638. bottom: "stage3_3/concat"
  3639. top: "stage3_4/branch1a"
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  3657. bottom: "stage3_4/branch1a"
  3658. top: "stage3_4/branch1a"
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  3678. type: "Scale"
  3679. bottom: "stage3_4/branch1a"
  3680. top: "stage3_4/branch1a"
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  3694. bottom: "stage3_4/branch1a"
  3695. top: "stage3_4/branch1a"
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  3701. top: "stage3_4/branch1b"
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  3704. bias_term: false
  3705. pad: 1
  3706. kernel_size: 3
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  3714. }
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  3718. type: "BatchNorm"
  3719. bottom: "stage3_4/branch1b"
  3720. top: "stage3_4/branch1b"
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  3740. type: "Scale"
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  3742. top: "stage3_4/branch1b"
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  3755. type: "ReLU"
  3756. bottom: "stage3_4/branch1b"
  3757. top: "stage3_4/branch1b"
  3758. }
  3759. layer {
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  3761. type: "Convolution"
  3762. bottom: "stage3_3/concat"
  3763. top: "stage3_4/branch2a"
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  3766. bias_term: false
  3767. pad: 0
  3768. kernel_size: 1
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  3775. }
  3776. }
  3777. }
  3778. layer {
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  3780. type: "BatchNorm"
  3781. bottom: "stage3_4/branch2a"
  3782. top: "stage3_4/branch2a"
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  3785. decay_mult: 0
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  3797. eps: 0.001
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  3800. layer {
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  3802. type: "Scale"
  3803. bottom: "stage3_4/branch2a"
  3804. top: "stage3_4/branch2a"
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  3809. bias_term: true
  3810. bias_filler {
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  3812. }
  3813. }
  3814. }
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  3817. type: "ReLU"
  3818. bottom: "stage3_4/branch2a"
  3819. top: "stage3_4/branch2a"
  3820. }
  3821. layer {
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  3823. type: "Convolution"
  3824. bottom: "stage3_4/branch2a"
  3825. top: "stage3_4/branch2b"
  3826. convolution_param {
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  3828. bias_term: false
  3829. pad: 1
  3830. kernel_size: 3
  3831. stride: 1
  3832. weight_filler {
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  3834. }
  3835. bias_filler {
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  3837. }
  3838. }
  3839. }
  3840. layer {
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  3842. type: "BatchNorm"
  3843. bottom: "stage3_4/branch2b"
  3844. top: "stage3_4/branch2b"
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  3859. eps: 0.001
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  3864. type: "Scale"
  3865. bottom: "stage3_4/branch2b"
  3866. top: "stage3_4/branch2b"
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  3879. type: "ReLU"
  3880. bottom: "stage3_4/branch2b"
  3881. top: "stage3_4/branch2b"
  3882. }
  3883. layer {
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  3885. type: "Convolution"
  3886. bottom: "stage3_4/branch2b"
  3887. top: "stage3_4/branch2c"
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  3890. bias_term: false
  3891. pad: 1
  3892. kernel_size: 3
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  3904. type: "BatchNorm"
  3905. bottom: "stage3_4/branch2c"
  3906. top: "stage3_4/branch2c"
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  3921. eps: 0.001
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  3926. type: "Scale"
  3927. bottom: "stage3_4/branch2c"
  3928. top: "stage3_4/branch2c"
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  3933. bias_term: true
  3934. bias_filler {
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  3937. }
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  3941. type: "ReLU"
  3942. bottom: "stage3_4/branch2c"
  3943. top: "stage3_4/branch2c"
  3944. }
  3945. layer {
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  3947. type: "Concat"
  3948. bottom: "stage3_3/concat"
  3949. bottom: "stage3_4/branch1b"
  3950. bottom: "stage3_4/branch2c"
  3951. top: "stage3_4/concat"
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  3955. }
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  3958. type: "Convolution"
  3959. bottom: "stage3_4/concat"
  3960. top: "stage3_5/branch1a"
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  3963. bias_term: false
  3964. pad: 0
  3965. kernel_size: 1
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  3970. bias_filler {
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  3972. }
  3973. }
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  3977. type: "BatchNorm"
  3978. bottom: "stage3_5/branch1a"
  3979. top: "stage3_5/branch1a"
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  3994. eps: 0.001
  3995. }
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  3999. type: "Scale"
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  4001. top: "stage3_5/branch1a"
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  4010. }
  4011. }
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  4014. type: "ReLU"
  4015. bottom: "stage3_5/branch1a"
  4016. top: "stage3_5/branch1a"
  4017. }
  4018. layer {
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  4020. type: "Convolution"
  4021. bottom: "stage3_5/branch1a"
  4022. top: "stage3_5/branch1b"
  4023. convolution_param {
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  4025. bias_term: false
  4026. pad: 1
  4027. kernel_size: 3
  4028. stride: 1
  4029. weight_filler {
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  4031. }
  4032. bias_filler {
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  4034. }
  4035. }
  4036. }
  4037. layer {
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  4039. type: "BatchNorm"
  4040. bottom: "stage3_5/branch1b"
  4041. top: "stage3_5/branch1b"
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  4044. decay_mult: 0
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  4054. batch_norm_param {
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  4056. eps: 0.001
  4057. }
  4058. }
  4059. layer {
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  4061. type: "Scale"
  4062. bottom: "stage3_5/branch1b"
  4063. top: "stage3_5/branch1b"
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  4068. bias_term: true
  4069. bias_filler {
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  4071. }
  4072. }
  4073. }
  4074. layer {
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  4076. type: "ReLU"
  4077. bottom: "stage3_5/branch1b"
  4078. top: "stage3_5/branch1b"
  4079. }
  4080. layer {
  4081. name: "stage3_5/branch2a"
  4082. type: "Convolution"
  4083. bottom: "stage3_4/concat"
  4084. top: "stage3_5/branch2a"
  4085. convolution_param {
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  4087. bias_term: false
  4088. pad: 0
  4089. kernel_size: 1
  4090. stride: 1
  4091. weight_filler {
  4092. type: "xavier"
  4093. }
  4094. bias_filler {
  4095. type: "constant"
  4096. }
  4097. }
  4098. }
  4099. layer {
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  4101. type: "BatchNorm"
  4102. bottom: "stage3_5/branch2a"
  4103. top: "stage3_5/branch2a"
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  4106. decay_mult: 0
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  4108. param {
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  4112. param {
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  4116. batch_norm_param {
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  4118. eps: 0.001
  4119. }
  4120. }
  4121. layer {
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  4123. type: "Scale"
  4124. bottom: "stage3_5/branch2a"
  4125. top: "stage3_5/branch2a"
  4126. scale_param {
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  4130. bias_term: true
  4131. bias_filler {
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  4133. }
  4134. }
  4135. }
  4136. layer {
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  4138. type: "ReLU"
  4139. bottom: "stage3_5/branch2a"
  4140. top: "stage3_5/branch2a"
  4141. }
  4142. layer {
  4143. name: "stage3_5/branch2b"
  4144. type: "Convolution"
  4145. bottom: "stage3_5/branch2a"
  4146. top: "stage3_5/branch2b"
  4147. convolution_param {
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  4149. bias_term: false
  4150. pad: 1
  4151. kernel_size: 3
  4152. stride: 1
  4153. weight_filler {
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  4155. }
  4156. bias_filler {
  4157. type: "constant"
  4158. }
  4159. }
  4160. }
  4161. layer {
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  4163. type: "BatchNorm"
  4164. bottom: "stage3_5/branch2b"
  4165. top: "stage3_5/branch2b"
  4166. param {
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  4168. decay_mult: 0
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  4170. param {
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  4178. batch_norm_param {
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  4180. eps: 0.001
  4181. }
  4182. }
  4183. layer {
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  4185. type: "Scale"
  4186. bottom: "stage3_5/branch2b"
  4187. top: "stage3_5/branch2b"
  4188. scale_param {
  4189. filler {
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  4192. bias_term: true
  4193. bias_filler {
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  4195. }
  4196. }
  4197. }
  4198. layer {
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  4200. type: "ReLU"
  4201. bottom: "stage3_5/branch2b"
  4202. top: "stage3_5/branch2b"
  4203. }
  4204. layer {
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  4206. type: "Convolution"
  4207. bottom: "stage3_5/branch2b"
  4208. top: "stage3_5/branch2c"
  4209. convolution_param {
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  4211. bias_term: false
  4212. pad: 1
  4213. kernel_size: 3
  4214. stride: 1
  4215. weight_filler {
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  4217. }
  4218. bias_filler {
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  4220. }
  4221. }
  4222. }
  4223. layer {
  4224. name: "stage3_5/branch2c/bn"
  4225. type: "BatchNorm"
  4226. bottom: "stage3_5/branch2c"
  4227. top: "stage3_5/branch2c"
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  4230. decay_mult: 0
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  4232. param {
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  4236. param {
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  4240. batch_norm_param {
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  4242. eps: 0.001
  4243. }
  4244. }
  4245. layer {
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  4247. type: "Scale"
  4248. bottom: "stage3_5/branch2c"
  4249. top: "stage3_5/branch2c"
  4250. scale_param {
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  4254. bias_term: true
  4255. bias_filler {
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  4258. }
  4259. }
  4260. layer {
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  4262. type: "ReLU"
  4263. bottom: "stage3_5/branch2c"
  4264. top: "stage3_5/branch2c"
  4265. }
  4266. layer {
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  4268. type: "Concat"
  4269. bottom: "stage3_4/concat"
  4270. bottom: "stage3_5/branch1b"
  4271. bottom: "stage3_5/branch2c"
  4272. top: "stage3_5/concat"
  4273. concat_param {
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  4275. }
  4276. }
  4277. layer {
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  4279. type: "Convolution"
  4280. bottom: "stage3_5/concat"
  4281. top: "stage3_6/branch1a"
  4282. convolution_param {
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  4284. bias_term: false
  4285. pad: 0
  4286. kernel_size: 1
  4287. stride: 1
  4288. weight_filler {
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  4290. }
  4291. bias_filler {
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  4293. }
  4294. }
  4295. }
  4296. layer {
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  4298. type: "BatchNorm"
  4299. bottom: "stage3_6/branch1a"
  4300. top: "stage3_6/branch1a"
  4301. param {
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  4303. decay_mult: 0
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  4305. param {
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  4309. param {
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  4312. }
  4313. batch_norm_param {
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  4315. eps: 0.001
  4316. }
  4317. }
  4318. layer {
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  4320. type: "Scale"
  4321. bottom: "stage3_6/branch1a"
  4322. top: "stage3_6/branch1a"
  4323. scale_param {
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  4327. bias_term: true
  4328. bias_filler {
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  4330. }
  4331. }
  4332. }
  4333. layer {
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  4335. type: "ReLU"
  4336. bottom: "stage3_6/branch1a"
  4337. top: "stage3_6/branch1a"
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  4339. layer {
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  4341. type: "Convolution"
  4342. bottom: "stage3_6/branch1a"
  4343. top: "stage3_6/branch1b"
  4344. convolution_param {
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  4346. bias_term: false
  4347. pad: 1
  4348. kernel_size: 3
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  4353. bias_filler {
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  4355. }
  4356. }
  4357. }
  4358. layer {
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  4360. type: "BatchNorm"
  4361. bottom: "stage3_6/branch1b"
  4362. top: "stage3_6/branch1b"
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  4375. batch_norm_param {
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  4379. }
  4380. layer {
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  4382. type: "Scale"
  4383. bottom: "stage3_6/branch1b"
  4384. top: "stage3_6/branch1b"
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  4389. bias_term: true
  4390. bias_filler {
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  4393. }
  4394. }
  4395. layer {
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  4397. type: "ReLU"
  4398. bottom: "stage3_6/branch1b"
  4399. top: "stage3_6/branch1b"
  4400. }
  4401. layer {
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  4403. type: "Convolution"
  4404. bottom: "stage3_5/concat"
  4405. top: "stage3_6/branch2a"
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  4408. bias_term: false
  4409. pad: 0
  4410. kernel_size: 1
  4411. stride: 1
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  4414. }
  4415. bias_filler {
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  4417. }
  4418. }
  4419. }
  4420. layer {
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  4422. type: "BatchNorm"
  4423. bottom: "stage3_6/branch2a"
  4424. top: "stage3_6/branch2a"
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  4439. eps: 0.001
  4440. }
  4441. }
  4442. layer {
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  4444. type: "Scale"
  4445. bottom: "stage3_6/branch2a"
  4446. top: "stage3_6/branch2a"
  4447. scale_param {
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  4451. bias_term: true
  4452. bias_filler {
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  4455. }
  4456. }
  4457. layer {
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  4459. type: "ReLU"
  4460. bottom: "stage3_6/branch2a"
  4461. top: "stage3_6/branch2a"
  4462. }
  4463. layer {
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  4465. type: "Convolution"
  4466. bottom: "stage3_6/branch2a"
  4467. top: "stage3_6/branch2b"
  4468. convolution_param {
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  4470. bias_term: false
  4471. pad: 1
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  4484. type: "BatchNorm"
  4485. bottom: "stage3_6/branch2b"
  4486. top: "stage3_6/branch2b"
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  4508. top: "stage3_6/branch2b"
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  4521. type: "ReLU"
  4522. bottom: "stage3_6/branch2b"
  4523. top: "stage3_6/branch2b"
  4524. }
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  4527. type: "Convolution"
  4528. bottom: "stage3_6/branch2b"
  4529. top: "stage3_6/branch2c"
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  4541. }
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  4546. type: "BatchNorm"
  4547. bottom: "stage3_6/branch2c"
  4548. top: "stage3_6/branch2c"
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  4563. eps: 0.001
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  4570. top: "stage3_6/branch2c"
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  4584. bottom: "stage3_6/branch2c"
  4585. top: "stage3_6/branch2c"
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  4589. type: "Concat"
  4590. bottom: "stage3_5/concat"
  4591. bottom: "stage3_6/branch1b"
  4592. bottom: "stage3_6/branch2c"
  4593. top: "stage3_6/concat"
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  4619. type: "BatchNorm"
  4620. bottom: "stage3_7/branch1a"
  4621. top: "stage3_7/branch1a"
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  4641. type: "Scale"
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  4643. top: "stage3_7/branch1a"
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  4658. top: "stage3_7/branch1a"
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  4664. top: "stage3_7/branch1b"
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  4681. type: "BatchNorm"
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  4683. top: "stage3_7/branch1b"
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  4705. top: "stage3_7/branch1b"
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  4718. type: "ReLU"
  4719. bottom: "stage3_7/branch1b"
  4720. top: "stage3_7/branch1b"
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  4724. type: "Convolution"
  4725. bottom: "stage3_6/concat"
  4726. top: "stage3_7/branch2a"
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  4780. type: "ReLU"
  4781. bottom: "stage3_7/branch2a"
  4782. top: "stage3_7/branch2a"
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  4786. type: "Convolution"
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  4788. top: "stage3_7/branch2b"
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  4801. }
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  4805. type: "BatchNorm"
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  4807. top: "stage3_7/branch2b"
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  4829. top: "stage3_7/branch2b"
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  4842. type: "ReLU"
  4843. bottom: "stage3_7/branch2b"
  4844. top: "stage3_7/branch2b"
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  4846. layer {
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  4848. type: "Convolution"
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  4850. top: "stage3_7/branch2c"
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  4891. top: "stage3_7/branch2c"
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  4904. type: "ReLU"
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  4906. top: "stage3_7/branch2c"
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  4912. bottom: "stage3_7/branch1b"
  4913. bottom: "stage3_7/branch2c"
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  4942. top: "stage3_8/branch1a"
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  4964. top: "stage3_8/branch1a"
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  4979. top: "stage3_8/branch1a"
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  4985. top: "stage3_8/branch1b"
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  5004. top: "stage3_8/branch1b"
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  5026. top: "stage3_8/branch1b"
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  5039. type: "ReLU"
  5040. bottom: "stage3_8/branch1b"
  5041. top: "stage3_8/branch1b"
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  5047. top: "stage3_8/branch2a"
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  5064. type: "BatchNorm"
  5065. bottom: "stage3_8/branch2a"
  5066. top: "stage3_8/branch2a"
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  5086. type: "Scale"
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  5088. top: "stage3_8/branch2a"
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  5101. type: "ReLU"
  5102. bottom: "stage3_8/branch2a"
  5103. top: "stage3_8/branch2a"
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  5105. layer {
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  5107. type: "Convolution"
  5108. bottom: "stage3_8/branch2a"
  5109. top: "stage3_8/branch2b"
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  5126. type: "BatchNorm"
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  5128. top: "stage3_8/branch2b"
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  5150. top: "stage3_8/branch2b"
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  5164. bottom: "stage3_8/branch2b"
  5165. top: "stage3_8/branch2b"
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  5171. top: "stage3_8/branch2c"
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  5201. decay_mult: 0
  5202. }
  5203. batch_norm_param {
  5204. moving_average_fraction: 0.999
  5205. eps: 0.001
  5206. }
  5207. }
  5208. layer {
  5209. name: "stage3_8/branch2c/scale"
  5210. type: "Scale"
  5211. bottom: "stage3_8/branch2c"
  5212. top: "stage3_8/branch2c"
  5213. scale_param {
  5214. filler {
  5215. value: 1
  5216. }
  5217. bias_term: true
  5218. bias_filler {
  5219. value: 0
  5220. }
  5221. }
  5222. }
  5223. layer {
  5224. name: "stage3_8/branch2c/relu"
  5225. type: "ReLU"
  5226. bottom: "stage3_8/branch2c"
  5227. top: "stage3_8/branch2c"
  5228. }
  5229. layer {
  5230. name: "stage3_8/concat"
  5231. type: "Concat"
  5232. bottom: "stage3_7/concat"
  5233. bottom: "stage3_8/branch1b"
  5234. bottom: "stage3_8/branch2c"
  5235. top: "stage3_8/concat"
  5236. concat_param {
  5237. axis: 1
  5238. }
  5239. }
  5240. layer {
  5241. name: "stage3_tb"
  5242. type: "Convolution"
  5243. bottom: "stage3_8/concat"
  5244. top: "stage3_tb"
  5245. convolution_param {
  5246. num_output: 512
  5247. bias_term: false
  5248. pad: 0
  5249. kernel_size: 1
  5250. stride: 1
  5251. weight_filler {
  5252. type: "xavier"
  5253. }
  5254. bias_filler {
  5255. type: "constant"
  5256. }
  5257. }
  5258. }
  5259. layer {
  5260. name: "stage3_tb/bn"
  5261. type: "BatchNorm"
  5262. bottom: "stage3_tb"
  5263. top: "stage3_tb"
  5264. param {
  5265. lr_mult: 0
  5266. decay_mult: 0
  5267. }
  5268. param {
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  5270. decay_mult: 0
  5271. }
  5272. param {
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  5274. decay_mult: 0
  5275. }
  5276. batch_norm_param {
  5277. moving_average_fraction: 0.999
  5278. eps: 0.001
  5279. }
  5280. }
  5281. layer {
  5282. name: "stage3_tb/scale"
  5283. type: "Scale"
  5284. bottom: "stage3_tb"
  5285. top: "stage3_tb"
  5286. scale_param {
  5287. filler {
  5288. value: 1
  5289. }
  5290. bias_term: true
  5291. bias_filler {
  5292. value: 0
  5293. }
  5294. }
  5295. }
  5296. layer {
  5297. name: "stage3_tb/relu"
  5298. type: "ReLU"
  5299. bottom: "stage3_tb"
  5300. top: "stage3_tb"
  5301. }
  5302. layer {
  5303. name: "stage3_tb/pool"
  5304. type: "Pooling"
  5305. bottom: "stage3_tb"
  5306. top: "stage3_tb/pool"
  5307. pooling_param {
  5308. pool: AVE
  5309. kernel_size: 2
  5310. stride: 2
  5311. }
  5312. }
  5313. layer {
  5314. name: "stage4_1/branch1a"
  5315. type: "Convolution"
  5316. bottom: "stage3_tb/pool"
  5317. top: "stage4_1/branch1a"
  5318. convolution_param {
  5319. num_output: 64
  5320. bias_term: false
  5321. pad: 0
  5322. kernel_size: 1
  5323. stride: 1
  5324. weight_filler {
  5325. type: "xavier"
  5326. }
  5327. bias_filler {
  5328. type: "constant"
  5329. }
  5330. }
  5331. }
  5332. layer {
  5333. name: "stage4_1/branch1a/bn"
  5334. type: "BatchNorm"
  5335. bottom: "stage4_1/branch1a"
  5336. top: "stage4_1/branch1a"
  5337. param {
  5338. lr_mult: 0
  5339. decay_mult: 0
  5340. }
  5341. param {
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  5343. decay_mult: 0
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  5345. param {
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  5347. decay_mult: 0
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  5349. batch_norm_param {
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  5351. eps: 0.001
  5352. }
  5353. }
  5354. layer {
  5355. name: "stage4_1/branch1a/scale"
  5356. type: "Scale"
  5357. bottom: "stage4_1/branch1a"
  5358. top: "stage4_1/branch1a"
  5359. scale_param {
  5360. filler {
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  5362. }
  5363. bias_term: true
  5364. bias_filler {
  5365. value: 0
  5366. }
  5367. }
  5368. }
  5369. layer {
  5370. name: "stage4_1/branch1a/relu"
  5371. type: "ReLU"
  5372. bottom: "stage4_1/branch1a"
  5373. top: "stage4_1/branch1a"
  5374. }
  5375. layer {
  5376. name: "stage4_1/branch1b"
  5377. type: "Convolution"
  5378. bottom: "stage4_1/branch1a"
  5379. top: "stage4_1/branch1b"
  5380. convolution_param {
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  5382. bias_term: false
  5383. pad: 1
  5384. kernel_size: 3
  5385. stride: 1
  5386. weight_filler {
  5387. type: "xavier"
  5388. }
  5389. bias_filler {
  5390. type: "constant"
  5391. }
  5392. }
  5393. }
  5394. layer {
  5395. name: "stage4_1/branch1b/bn"
  5396. type: "BatchNorm"
  5397. bottom: "stage4_1/branch1b"
  5398. top: "stage4_1/branch1b"
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  5401. decay_mult: 0
  5402. }
  5403. param {
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  5405. decay_mult: 0
  5406. }
  5407. param {
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  5409. decay_mult: 0
  5410. }
  5411. batch_norm_param {
  5412. moving_average_fraction: 0.999
  5413. eps: 0.001
  5414. }
  5415. }
  5416. layer {
  5417. name: "stage4_1/branch1b/scale"
  5418. type: "Scale"
  5419. bottom: "stage4_1/branch1b"
  5420. top: "stage4_1/branch1b"
  5421. scale_param {
  5422. filler {
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  5424. }
  5425. bias_term: true
  5426. bias_filler {
  5427. value: 0
  5428. }
  5429. }
  5430. }
  5431. layer {
  5432. name: "stage4_1/branch1b/relu"
  5433. type: "ReLU"
  5434. bottom: "stage4_1/branch1b"
  5435. top: "stage4_1/branch1b"
  5436. }
  5437. layer {
  5438. name: "stage4_1/branch2a"
  5439. type: "Convolution"
  5440. bottom: "stage3_tb/pool"
  5441. top: "stage4_1/branch2a"
  5442. convolution_param {
  5443. num_output: 64
  5444. bias_term: false
  5445. pad: 0
  5446. kernel_size: 1
  5447. stride: 1
  5448. weight_filler {
  5449. type: "xavier"
  5450. }
  5451. bias_filler {
  5452. type: "constant"
  5453. }
  5454. }
  5455. }
  5456. layer {
  5457. name: "stage4_1/branch2a/bn"
  5458. type: "BatchNorm"
  5459. bottom: "stage4_1/branch2a"
  5460. top: "stage4_1/branch2a"
  5461. param {
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  5463. decay_mult: 0
  5464. }
  5465. param {
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  5467. decay_mult: 0
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  5469. param {
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  5471. decay_mult: 0
  5472. }
  5473. batch_norm_param {
  5474. moving_average_fraction: 0.999
  5475. eps: 0.001
  5476. }
  5477. }
  5478. layer {
  5479. name: "stage4_1/branch2a/scale"
  5480. type: "Scale"
  5481. bottom: "stage4_1/branch2a"
  5482. top: "stage4_1/branch2a"
  5483. scale_param {
  5484. filler {
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  5486. }
  5487. bias_term: true
  5488. bias_filler {
  5489. value: 0
  5490. }
  5491. }
  5492. }
  5493. layer {
  5494. name: "stage4_1/branch2a/relu"
  5495. type: "ReLU"
  5496. bottom: "stage4_1/branch2a"
  5497. top: "stage4_1/branch2a"
  5498. }
  5499. layer {
  5500. name: "stage4_1/branch2b"
  5501. type: "Convolution"
  5502. bottom: "stage4_1/branch2a"
  5503. top: "stage4_1/branch2b"
  5504. convolution_param {
  5505. num_output: 16
  5506. bias_term: false
  5507. pad: 1
  5508. kernel_size: 3
  5509. stride: 1
  5510. weight_filler {
  5511. type: "xavier"
  5512. }
  5513. bias_filler {
  5514. type: "constant"
  5515. }
  5516. }
  5517. }
  5518. layer {
  5519. name: "stage4_1/branch2b/bn"
  5520. type: "BatchNorm"
  5521. bottom: "stage4_1/branch2b"
  5522. top: "stage4_1/branch2b"
  5523. param {
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  5525. decay_mult: 0
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  5527. param {
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  5529. decay_mult: 0
  5530. }
  5531. param {
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  5533. decay_mult: 0
  5534. }
  5535. batch_norm_param {
  5536. moving_average_fraction: 0.999
  5537. eps: 0.001
  5538. }
  5539. }
  5540. layer {
  5541. name: "stage4_1/branch2b/scale"
  5542. type: "Scale"
  5543. bottom: "stage4_1/branch2b"
  5544. top: "stage4_1/branch2b"
  5545. scale_param {
  5546. filler {
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  5548. }
  5549. bias_term: true
  5550. bias_filler {
  5551. value: 0
  5552. }
  5553. }
  5554. }
  5555. layer {
  5556. name: "stage4_1/branch2b/relu"
  5557. type: "ReLU"
  5558. bottom: "stage4_1/branch2b"
  5559. top: "stage4_1/branch2b"
  5560. }
  5561. layer {
  5562. name: "stage4_1/branch2c"
  5563. type: "Convolution"
  5564. bottom: "stage4_1/branch2b"
  5565. top: "stage4_1/branch2c"
  5566. convolution_param {
  5567. num_output: 16
  5568. bias_term: false
  5569. pad: 1
  5570. kernel_size: 3
  5571. stride: 1
  5572. weight_filler {
  5573. type: "xavier"
  5574. }
  5575. bias_filler {
  5576. type: "constant"
  5577. }
  5578. }
  5579. }
  5580. layer {
  5581. name: "stage4_1/branch2c/bn"
  5582. type: "BatchNorm"
  5583. bottom: "stage4_1/branch2c"
  5584. top: "stage4_1/branch2c"
  5585. param {
  5586. lr_mult: 0
  5587. decay_mult: 0
  5588. }
  5589. param {
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  5591. decay_mult: 0
  5592. }
  5593. param {
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  5595. decay_mult: 0
  5596. }
  5597. batch_norm_param {
  5598. moving_average_fraction: 0.999
  5599. eps: 0.001
  5600. }
  5601. }
  5602. layer {
  5603. name: "stage4_1/branch2c/scale"
  5604. type: "Scale"
  5605. bottom: "stage4_1/branch2c"
  5606. top: "stage4_1/branch2c"
  5607. scale_param {
  5608. filler {
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  5610. }
  5611. bias_term: true
  5612. bias_filler {
  5613. value: 0
  5614. }
  5615. }
  5616. }
  5617. layer {
  5618. name: "stage4_1/branch2c/relu"
  5619. type: "ReLU"
  5620. bottom: "stage4_1/branch2c"
  5621. top: "stage4_1/branch2c"
  5622. }
  5623. layer {
  5624. name: "stage4_1/concat"
  5625. type: "Concat"
  5626. bottom: "stage3_tb/pool"
  5627. bottom: "stage4_1/branch1b"
  5628. bottom: "stage4_1/branch2c"
  5629. top: "stage4_1/concat"
  5630. concat_param {
  5631. axis: 1
  5632. }
  5633. }
  5634. layer {
  5635. name: "stage4_2/branch1a"
  5636. type: "Convolution"
  5637. bottom: "stage4_1/concat"
  5638. top: "stage4_2/branch1a"
  5639. convolution_param {
  5640. num_output: 64
  5641. bias_term: false
  5642. pad: 0
  5643. kernel_size: 1
  5644. stride: 1
  5645. weight_filler {
  5646. type: "xavier"
  5647. }
  5648. bias_filler {
  5649. type: "constant"
  5650. }
  5651. }
  5652. }
  5653. layer {
  5654. name: "stage4_2/branch1a/bn"
  5655. type: "BatchNorm"
  5656. bottom: "stage4_2/branch1a"
  5657. top: "stage4_2/branch1a"
  5658. param {
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  5660. decay_mult: 0
  5661. }
  5662. param {
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  5664. decay_mult: 0
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  5666. param {
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  5668. decay_mult: 0
  5669. }
  5670. batch_norm_param {
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  5672. eps: 0.001
  5673. }
  5674. }
  5675. layer {
  5676. name: "stage4_2/branch1a/scale"
  5677. type: "Scale"
  5678. bottom: "stage4_2/branch1a"
  5679. top: "stage4_2/branch1a"
  5680. scale_param {
  5681. filler {
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  5683. }
  5684. bias_term: true
  5685. bias_filler {
  5686. value: 0
  5687. }
  5688. }
  5689. }
  5690. layer {
  5691. name: "stage4_2/branch1a/relu"
  5692. type: "ReLU"
  5693. bottom: "stage4_2/branch1a"
  5694. top: "stage4_2/branch1a"
  5695. }
  5696. layer {
  5697. name: "stage4_2/branch1b"
  5698. type: "Convolution"
  5699. bottom: "stage4_2/branch1a"
  5700. top: "stage4_2/branch1b"
  5701. convolution_param {
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  5703. bias_term: false
  5704. pad: 1
  5705. kernel_size: 3
  5706. stride: 1
  5707. weight_filler {
  5708. type: "xavier"
  5709. }
  5710. bias_filler {
  5711. type: "constant"
  5712. }
  5713. }
  5714. }
  5715. layer {
  5716. name: "stage4_2/branch1b/bn"
  5717. type: "BatchNorm"
  5718. bottom: "stage4_2/branch1b"
  5719. top: "stage4_2/branch1b"
  5720. param {
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  5722. decay_mult: 0
  5723. }
  5724. param {
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  5726. decay_mult: 0
  5727. }
  5728. param {
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  5730. decay_mult: 0
  5731. }
  5732. batch_norm_param {
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  5734. eps: 0.001
  5735. }
  5736. }
  5737. layer {
  5738. name: "stage4_2/branch1b/scale"
  5739. type: "Scale"
  5740. bottom: "stage4_2/branch1b"
  5741. top: "stage4_2/branch1b"
  5742. scale_param {
  5743. filler {
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  5745. }
  5746. bias_term: true
  5747. bias_filler {
  5748. value: 0
  5749. }
  5750. }
  5751. }
  5752. layer {
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  5754. type: "ReLU"
  5755. bottom: "stage4_2/branch1b"
  5756. top: "stage4_2/branch1b"
  5757. }
  5758. layer {
  5759. name: "stage4_2/branch2a"
  5760. type: "Convolution"
  5761. bottom: "stage4_1/concat"
  5762. top: "stage4_2/branch2a"
  5763. convolution_param {
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  5765. bias_term: false
  5766. pad: 0
  5767. kernel_size: 1
  5768. stride: 1
  5769. weight_filler {
  5770. type: "xavier"
  5771. }
  5772. bias_filler {
  5773. type: "constant"
  5774. }
  5775. }
  5776. }
  5777. layer {
  5778. name: "stage4_2/branch2a/bn"
  5779. type: "BatchNorm"
  5780. bottom: "stage4_2/branch2a"
  5781. top: "stage4_2/branch2a"
  5782. param {
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  5784. decay_mult: 0
  5785. }
  5786. param {
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  5790. param {
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  5793. }
  5794. batch_norm_param {
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  5796. eps: 0.001
  5797. }
  5798. }
  5799. layer {
  5800. name: "stage4_2/branch2a/scale"
  5801. type: "Scale"
  5802. bottom: "stage4_2/branch2a"
  5803. top: "stage4_2/branch2a"
  5804. scale_param {
  5805. filler {
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  5808. bias_term: true
  5809. bias_filler {
  5810. value: 0
  5811. }
  5812. }
  5813. }
  5814. layer {
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  5816. type: "ReLU"
  5817. bottom: "stage4_2/branch2a"
  5818. top: "stage4_2/branch2a"
  5819. }
  5820. layer {
  5821. name: "stage4_2/branch2b"
  5822. type: "Convolution"
  5823. bottom: "stage4_2/branch2a"
  5824. top: "stage4_2/branch2b"
  5825. convolution_param {
  5826. num_output: 16
  5827. bias_term: false
  5828. pad: 1
  5829. kernel_size: 3
  5830. stride: 1
  5831. weight_filler {
  5832. type: "xavier"
  5833. }
  5834. bias_filler {
  5835. type: "constant"
  5836. }
  5837. }
  5838. }
  5839. layer {
  5840. name: "stage4_2/branch2b/bn"
  5841. type: "BatchNorm"
  5842. bottom: "stage4_2/branch2b"
  5843. top: "stage4_2/branch2b"
  5844. param {
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  5846. decay_mult: 0
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  5848. param {
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  5852. param {
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  5856. batch_norm_param {
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  5858. eps: 0.001
  5859. }
  5860. }
  5861. layer {
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  5863. type: "Scale"
  5864. bottom: "stage4_2/branch2b"
  5865. top: "stage4_2/branch2b"
  5866. scale_param {
  5867. filler {
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  5870. bias_term: true
  5871. bias_filler {
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  5873. }
  5874. }
  5875. }
  5876. layer {
  5877. name: "stage4_2/branch2b/relu"
  5878. type: "ReLU"
  5879. bottom: "stage4_2/branch2b"
  5880. top: "stage4_2/branch2b"
  5881. }
  5882. layer {
  5883. name: "stage4_2/branch2c"
  5884. type: "Convolution"
  5885. bottom: "stage4_2/branch2b"
  5886. top: "stage4_2/branch2c"
  5887. convolution_param {
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  5889. bias_term: false
  5890. pad: 1
  5891. kernel_size: 3
  5892. stride: 1
  5893. weight_filler {
  5894. type: "xavier"
  5895. }
  5896. bias_filler {
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  5898. }
  5899. }
  5900. }
  5901. layer {
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  5903. type: "BatchNorm"
  5904. bottom: "stage4_2/branch2c"
  5905. top: "stage4_2/branch2c"
  5906. param {
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  5908. decay_mult: 0
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  5910. param {
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  5914. param {
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  5918. batch_norm_param {
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  5920. eps: 0.001
  5921. }
  5922. }
  5923. layer {
  5924. name: "stage4_2/branch2c/scale"
  5925. type: "Scale"
  5926. bottom: "stage4_2/branch2c"
  5927. top: "stage4_2/branch2c"
  5928. scale_param {
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  5940. type: "ReLU"
  5941. bottom: "stage4_2/branch2c"
  5942. top: "stage4_2/branch2c"
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  5946. type: "Concat"
  5947. bottom: "stage4_1/concat"
  5948. bottom: "stage4_2/branch1b"
  5949. bottom: "stage4_2/branch2c"
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  5976. type: "BatchNorm"
  5977. bottom: "stage4_3/branch1a"
  5978. top: "stage4_3/branch1a"
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  6000. top: "stage4_3/branch1a"
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  6013. type: "ReLU"
  6014. bottom: "stage4_3/branch1a"
  6015. top: "stage4_3/branch1a"
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  6019. type: "Convolution"
  6020. bottom: "stage4_3/branch1a"
  6021. top: "stage4_3/branch1b"
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  6024. bias_term: false
  6025. pad: 1
  6026. kernel_size: 3
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  6031. bias_filler {
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  6033. }
  6034. }
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  6038. type: "BatchNorm"
  6039. bottom: "stage4_3/branch1b"
  6040. top: "stage4_3/branch1b"
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  6055. eps: 0.001
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  6060. type: "Scale"
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  6062. top: "stage4_3/branch1b"
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  6075. type: "ReLU"
  6076. bottom: "stage4_3/branch1b"
  6077. top: "stage4_3/branch1b"
  6078. }
  6079. layer {
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  6081. type: "Convolution"
  6082. bottom: "stage4_2/concat"
  6083. top: "stage4_3/branch2a"
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  6086. bias_term: false
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  6088. kernel_size: 1
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  6093. bias_filler {
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  6100. type: "BatchNorm"
  6101. bottom: "stage4_3/branch2a"
  6102. top: "stage4_3/branch2a"
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  6122. type: "Scale"
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  6124. top: "stage4_3/branch2a"
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  6137. type: "ReLU"
  6138. bottom: "stage4_3/branch2a"
  6139. top: "stage4_3/branch2a"
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  6141. layer {
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  6143. type: "Convolution"
  6144. bottom: "stage4_3/branch2a"
  6145. top: "stage4_3/branch2b"
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  6150. kernel_size: 3
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  6158. }
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  6162. type: "BatchNorm"
  6163. bottom: "stage4_3/branch2b"
  6164. top: "stage4_3/branch2b"
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  6184. type: "Scale"
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  6186. top: "stage4_3/branch2b"
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  6191. bias_term: true
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  6195. }
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  6199. type: "ReLU"
  6200. bottom: "stage4_3/branch2b"
  6201. top: "stage4_3/branch2b"
  6202. }
  6203. layer {
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  6205. type: "Convolution"
  6206. bottom: "stage4_3/branch2b"
  6207. top: "stage4_3/branch2c"
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  6210. bias_term: false
  6211. pad: 1
  6212. kernel_size: 3
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  6214. weight_filler {
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  6217. bias_filler {
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  6219. }
  6220. }
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  6224. type: "BatchNorm"
  6225. bottom: "stage4_3/branch2c"
  6226. top: "stage4_3/branch2c"
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  6248. top: "stage4_3/branch2c"
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  6261. type: "ReLU"
  6262. bottom: "stage4_3/branch2c"
  6263. top: "stage4_3/branch2c"
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  6265. layer {
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  6267. type: "Concat"
  6268. bottom: "stage4_2/concat"
  6269. bottom: "stage4_3/branch1b"
  6270. bottom: "stage4_3/branch2c"
  6271. top: "stage4_3/concat"
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  6278. type: "Convolution"
  6279. bottom: "stage4_3/concat"
  6280. top: "stage4_4/branch1a"
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  6283. bias_term: false
  6284. pad: 0
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  6290. bias_filler {
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  6292. }
  6293. }
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  6295. layer {
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  6297. type: "BatchNorm"
  6298. bottom: "stage4_4/branch1a"
  6299. top: "stage4_4/branch1a"
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  6312. batch_norm_param {
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  6315. }
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  6317. layer {
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  6319. type: "Scale"
  6320. bottom: "stage4_4/branch1a"
  6321. top: "stage4_4/branch1a"
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  6326. bias_term: true
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  6330. }
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  6332. layer {
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  6334. type: "ReLU"
  6335. bottom: "stage4_4/branch1a"
  6336. top: "stage4_4/branch1a"
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  6338. layer {
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  6340. type: "Convolution"
  6341. bottom: "stage4_4/branch1a"
  6342. top: "stage4_4/branch1b"
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  6347. kernel_size: 3
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  6359. type: "BatchNorm"
  6360. bottom: "stage4_4/branch1b"
  6361. top: "stage4_4/branch1b"
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  6381. type: "Scale"
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  6383. top: "stage4_4/branch1b"
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  6396. type: "ReLU"
  6397. bottom: "stage4_4/branch1b"
  6398. top: "stage4_4/branch1b"
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  6400. layer {
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  6402. type: "Convolution"
  6403. bottom: "stage4_3/concat"
  6404. top: "stage4_4/branch2a"
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  6421. type: "BatchNorm"
  6422. bottom: "stage4_4/branch2a"
  6423. top: "stage4_4/branch2a"
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  6443. type: "Scale"
  6444. bottom: "stage4_4/branch2a"
  6445. top: "stage4_4/branch2a"
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  6458. type: "ReLU"
  6459. bottom: "stage4_4/branch2a"
  6460. top: "stage4_4/branch2a"
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  6462. layer {
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  6464. type: "Convolution"
  6465. bottom: "stage4_4/branch2a"
  6466. top: "stage4_4/branch2b"
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  6479. }
  6480. }
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  6483. type: "BatchNorm"
  6484. bottom: "stage4_4/branch2b"
  6485. top: "stage4_4/branch2b"
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  6505. type: "Scale"
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  6507. top: "stage4_4/branch2b"
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  6520. type: "ReLU"
  6521. bottom: "stage4_4/branch2b"
  6522. top: "stage4_4/branch2b"
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  6524. layer {
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  6526. type: "Convolution"
  6527. bottom: "stage4_4/branch2b"
  6528. top: "stage4_4/branch2c"
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  6533. kernel_size: 3
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  6545. type: "BatchNorm"
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  6547. top: "stage4_4/branch2c"
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  6567. type: "Scale"
  6568. bottom: "stage4_4/branch2c"
  6569. top: "stage4_4/branch2c"
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  6582. type: "ReLU"
  6583. bottom: "stage4_4/branch2c"
  6584. top: "stage4_4/branch2c"
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  6586. layer {
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  6589. bottom: "stage4_3/concat"
  6590. bottom: "stage4_4/branch1b"
  6591. bottom: "stage4_4/branch2c"
  6592. top: "stage4_4/concat"
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  6600. bottom: "stage4_4/concat"
  6601. top: "stage4_5/branch1a"
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  6618. type: "BatchNorm"
  6619. bottom: "stage4_5/branch1a"
  6620. top: "stage4_5/branch1a"
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  6640. type: "Scale"
  6641. bottom: "stage4_5/branch1a"
  6642. top: "stage4_5/branch1a"
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  6656. bottom: "stage4_5/branch1a"
  6657. top: "stage4_5/branch1a"
  6658. }
  6659. layer {
  6660. name: "stage4_5/branch1b"
  6661. type: "Convolution"
  6662. bottom: "stage4_5/branch1a"
  6663. top: "stage4_5/branch1b"
  6664. convolution_param {
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  6666. bias_term: false
  6667. pad: 1
  6668. kernel_size: 3
  6669. stride: 1
  6670. weight_filler {
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  6672. }
  6673. bias_filler {
  6674. type: "constant"
  6675. }
  6676. }
  6677. }
  6678. layer {
  6679. name: "stage4_5/branch1b/bn"
  6680. type: "BatchNorm"
  6681. bottom: "stage4_5/branch1b"
  6682. top: "stage4_5/branch1b"
  6683. param {
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  6685. decay_mult: 0
  6686. }
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  6689. decay_mult: 0
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  6695. batch_norm_param {
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  6697. eps: 0.001
  6698. }
  6699. }
  6700. layer {
  6701. name: "stage4_5/branch1b/scale"
  6702. type: "Scale"
  6703. bottom: "stage4_5/branch1b"
  6704. top: "stage4_5/branch1b"
  6705. scale_param {
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  6708. }
  6709. bias_term: true
  6710. bias_filler {
  6711. value: 0
  6712. }
  6713. }
  6714. }
  6715. layer {
  6716. name: "stage4_5/branch1b/relu"
  6717. type: "ReLU"
  6718. bottom: "stage4_5/branch1b"
  6719. top: "stage4_5/branch1b"
  6720. }
  6721. layer {
  6722. name: "stage4_5/branch2a"
  6723. type: "Convolution"
  6724. bottom: "stage4_4/concat"
  6725. top: "stage4_5/branch2a"
  6726. convolution_param {
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  6728. bias_term: false
  6729. pad: 0
  6730. kernel_size: 1
  6731. stride: 1
  6732. weight_filler {
  6733. type: "xavier"
  6734. }
  6735. bias_filler {
  6736. type: "constant"
  6737. }
  6738. }
  6739. }
  6740. layer {
  6741. name: "stage4_5/branch2a/bn"
  6742. type: "BatchNorm"
  6743. bottom: "stage4_5/branch2a"
  6744. top: "stage4_5/branch2a"
  6745. param {
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  6747. decay_mult: 0
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  6749. param {
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  6757. batch_norm_param {
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  6759. eps: 0.001
  6760. }
  6761. }
  6762. layer {
  6763. name: "stage4_5/branch2a/scale"
  6764. type: "Scale"
  6765. bottom: "stage4_5/branch2a"
  6766. top: "stage4_5/branch2a"
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  6771. bias_term: true
  6772. bias_filler {
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  6774. }
  6775. }
  6776. }
  6777. layer {
  6778. name: "stage4_5/branch2a/relu"
  6779. type: "ReLU"
  6780. bottom: "stage4_5/branch2a"
  6781. top: "stage4_5/branch2a"
  6782. }
  6783. layer {
  6784. name: "stage4_5/branch2b"
  6785. type: "Convolution"
  6786. bottom: "stage4_5/branch2a"
  6787. top: "stage4_5/branch2b"
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  6790. bias_term: false
  6791. pad: 1
  6792. kernel_size: 3
  6793. stride: 1
  6794. weight_filler {
  6795. type: "xavier"
  6796. }
  6797. bias_filler {
  6798. type: "constant"
  6799. }
  6800. }
  6801. }
  6802. layer {
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  6804. type: "BatchNorm"
  6805. bottom: "stage4_5/branch2b"
  6806. top: "stage4_5/branch2b"
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  6809. decay_mult: 0
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  6819. batch_norm_param {
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  6821. eps: 0.001
  6822. }
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  6824. layer {
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  6826. type: "Scale"
  6827. bottom: "stage4_5/branch2b"
  6828. top: "stage4_5/branch2b"
  6829. scale_param {
  6830. filler {
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  6833. bias_term: true
  6834. bias_filler {
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  6836. }
  6837. }
  6838. }
  6839. layer {
  6840. name: "stage4_5/branch2b/relu"
  6841. type: "ReLU"
  6842. bottom: "stage4_5/branch2b"
  6843. top: "stage4_5/branch2b"
  6844. }
  6845. layer {
  6846. name: "stage4_5/branch2c"
  6847. type: "Convolution"
  6848. bottom: "stage4_5/branch2b"
  6849. top: "stage4_5/branch2c"
  6850. convolution_param {
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  6852. bias_term: false
  6853. pad: 1
  6854. kernel_size: 3
  6855. stride: 1
  6856. weight_filler {
  6857. type: "xavier"
  6858. }
  6859. bias_filler {
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  6861. }
  6862. }
  6863. }
  6864. layer {
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  6866. type: "BatchNorm"
  6867. bottom: "stage4_5/branch2c"
  6868. top: "stage4_5/branch2c"
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  6871. decay_mult: 0
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  6883. eps: 0.001
  6884. }
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  6886. layer {
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  6888. type: "Scale"
  6889. bottom: "stage4_5/branch2c"
  6890. top: "stage4_5/branch2c"
  6891. scale_param {
  6892. filler {
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  6895. bias_term: true
  6896. bias_filler {
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  6898. }
  6899. }
  6900. }
  6901. layer {
  6902. name: "stage4_5/branch2c/relu"
  6903. type: "ReLU"
  6904. bottom: "stage4_5/branch2c"
  6905. top: "stage4_5/branch2c"
  6906. }
  6907. layer {
  6908. name: "stage4_5/concat"
  6909. type: "Concat"
  6910. bottom: "stage4_4/concat"
  6911. bottom: "stage4_5/branch1b"
  6912. bottom: "stage4_5/branch2c"
  6913. top: "stage4_5/concat"
  6914. concat_param {
  6915. axis: 1
  6916. }
  6917. }
  6918. layer {
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  6920. type: "Convolution"
  6921. bottom: "stage4_5/concat"
  6922. top: "stage4_6/branch1a"
  6923. convolution_param {
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  6925. bias_term: false
  6926. pad: 0
  6927. kernel_size: 1
  6928. stride: 1
  6929. weight_filler {
  6930. type: "xavier"
  6931. }
  6932. bias_filler {
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  6934. }
  6935. }
  6936. }
  6937. layer {
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  6939. type: "BatchNorm"
  6940. bottom: "stage4_6/branch1a"
  6941. top: "stage4_6/branch1a"
  6942. param {
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  6944. decay_mult: 0
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  6946. param {
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  6950. param {
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  6954. batch_norm_param {
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  6956. eps: 0.001
  6957. }
  6958. }
  6959. layer {
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  6961. type: "Scale"
  6962. bottom: "stage4_6/branch1a"
  6963. top: "stage4_6/branch1a"
  6964. scale_param {
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  6968. bias_term: true
  6969. bias_filler {
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  6972. }
  6973. }
  6974. layer {
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  6976. type: "ReLU"
  6977. bottom: "stage4_6/branch1a"
  6978. top: "stage4_6/branch1a"
  6979. }
  6980. layer {
  6981. name: "stage4_6/branch1b"
  6982. type: "Convolution"
  6983. bottom: "stage4_6/branch1a"
  6984. top: "stage4_6/branch1b"
  6985. convolution_param {
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  6987. bias_term: false
  6988. pad: 1
  6989. kernel_size: 3
  6990. stride: 1
  6991. weight_filler {
  6992. type: "xavier"
  6993. }
  6994. bias_filler {
  6995. type: "constant"
  6996. }
  6997. }
  6998. }
  6999. layer {
  7000. name: "stage4_6/branch1b/bn"
  7001. type: "BatchNorm"
  7002. bottom: "stage4_6/branch1b"
  7003. top: "stage4_6/branch1b"
  7004. param {
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  7006. decay_mult: 0
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  7008. param {
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  7012. param {
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  7016. batch_norm_param {
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  7018. eps: 0.001
  7019. }
  7020. }
  7021. layer {
  7022. name: "stage4_6/branch1b/scale"
  7023. type: "Scale"
  7024. bottom: "stage4_6/branch1b"
  7025. top: "stage4_6/branch1b"
  7026. scale_param {
  7027. filler {
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  7029. }
  7030. bias_term: true
  7031. bias_filler {
  7032. value: 0
  7033. }
  7034. }
  7035. }
  7036. layer {
  7037. name: "stage4_6/branch1b/relu"
  7038. type: "ReLU"
  7039. bottom: "stage4_6/branch1b"
  7040. top: "stage4_6/branch1b"
  7041. }
  7042. layer {
  7043. name: "stage4_6/branch2a"
  7044. type: "Convolution"
  7045. bottom: "stage4_5/concat"
  7046. top: "stage4_6/branch2a"
  7047. convolution_param {
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  7049. bias_term: false
  7050. pad: 0
  7051. kernel_size: 1
  7052. stride: 1
  7053. weight_filler {
  7054. type: "xavier"
  7055. }
  7056. bias_filler {
  7057. type: "constant"
  7058. }
  7059. }
  7060. }
  7061. layer {
  7062. name: "stage4_6/branch2a/bn"
  7063. type: "BatchNorm"
  7064. bottom: "stage4_6/branch2a"
  7065. top: "stage4_6/branch2a"
  7066. param {
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  7068. decay_mult: 0
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  7070. param {
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  7074. param {
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  7078. batch_norm_param {
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  7080. eps: 0.001
  7081. }
  7082. }
  7083. layer {
  7084. name: "stage4_6/branch2a/scale"
  7085. type: "Scale"
  7086. bottom: "stage4_6/branch2a"
  7087. top: "stage4_6/branch2a"
  7088. scale_param {
  7089. filler {
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  7092. bias_term: true
  7093. bias_filler {
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  7095. }
  7096. }
  7097. }
  7098. layer {
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  7100. type: "ReLU"
  7101. bottom: "stage4_6/branch2a"
  7102. top: "stage4_6/branch2a"
  7103. }
  7104. layer {
  7105. name: "stage4_6/branch2b"
  7106. type: "Convolution"
  7107. bottom: "stage4_6/branch2a"
  7108. top: "stage4_6/branch2b"
  7109. convolution_param {
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  7111. bias_term: false
  7112. pad: 1
  7113. kernel_size: 3
  7114. stride: 1
  7115. weight_filler {
  7116. type: "xavier"
  7117. }
  7118. bias_filler {
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  7120. }
  7121. }
  7122. }
  7123. layer {
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  7125. type: "BatchNorm"
  7126. bottom: "stage4_6/branch2b"
  7127. top: "stage4_6/branch2b"
  7128. param {
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  7130. decay_mult: 0
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  7132. param {
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  7136. param {
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  7139. }
  7140. batch_norm_param {
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  7142. eps: 0.001
  7143. }
  7144. }
  7145. layer {
  7146. name: "stage4_6/branch2b/scale"
  7147. type: "Scale"
  7148. bottom: "stage4_6/branch2b"
  7149. top: "stage4_6/branch2b"
  7150. scale_param {
  7151. filler {
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  7154. bias_term: true
  7155. bias_filler {
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  7157. }
  7158. }
  7159. }
  7160. layer {
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  7162. type: "ReLU"
  7163. bottom: "stage4_6/branch2b"
  7164. top: "stage4_6/branch2b"
  7165. }
  7166. layer {
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  7168. type: "Convolution"
  7169. bottom: "stage4_6/branch2b"
  7170. top: "stage4_6/branch2c"
  7171. convolution_param {
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  7173. bias_term: false
  7174. pad: 1
  7175. kernel_size: 3
  7176. stride: 1
  7177. weight_filler {
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  7179. }
  7180. bias_filler {
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  7182. }
  7183. }
  7184. }
  7185. layer {
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  7187. type: "BatchNorm"
  7188. bottom: "stage4_6/branch2c"
  7189. top: "stage4_6/branch2c"
  7190. param {
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  7192. decay_mult: 0
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  7194. param {
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  7198. param {
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  7202. batch_norm_param {
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  7204. eps: 0.001
  7205. }
  7206. }
  7207. layer {
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  7209. type: "Scale"
  7210. bottom: "stage4_6/branch2c"
  7211. top: "stage4_6/branch2c"
  7212. scale_param {
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  7216. bias_term: true
  7217. bias_filler {
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  7219. }
  7220. }
  7221. }
  7222. layer {
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  7224. type: "ReLU"
  7225. bottom: "stage4_6/branch2c"
  7226. top: "stage4_6/branch2c"
  7227. }
  7228. layer {
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  7230. type: "Concat"
  7231. bottom: "stage4_5/concat"
  7232. bottom: "stage4_6/branch1b"
  7233. bottom: "stage4_6/branch2c"
  7234. top: "stage4_6/concat"
  7235. concat_param {
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  7238. }
  7239. layer {
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  7241. type: "Convolution"
  7242. bottom: "stage4_6/concat"
  7243. top: "stage4_tb"
  7244. convolution_param {
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  7246. bias_term: false
  7247. pad: 0
  7248. kernel_size: 1
  7249. stride: 1
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  7252. }
  7253. bias_filler {
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  7255. }
  7256. }
  7257. }
  7258. layer {
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  7260. type: "BatchNorm"
  7261. bottom: "stage4_tb"
  7262. top: "stage4_tb"
  7263. param {
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  7267. param {
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  7271. param {
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  7275. batch_norm_param {
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  7279. }
  7280. layer {
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  7282. type: "Scale"
  7283. bottom: "stage4_tb"
  7284. top: "stage4_tb"
  7285. scale_param {
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  7289. bias_term: true
  7290. bias_filler {
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  7293. }
  7294. }
  7295. layer {
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  7297. type: "ReLU"
  7298. bottom: "stage4_tb"
  7299. top: "stage4_tb"
  7300. }
  7301. layer {
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  7303. type: "Convolution"
  7304. bottom: "stage4_tb"
  7305. top: "stage4_res1"
  7306. param {
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  7312. bias_term: false
  7313. pad: 0
  7314. kernel_size: 1
  7315. stride: 1
  7316. weight_filler {
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  7318. }
  7319. }
  7320. }
  7321. layer {
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  7323. type: "BatchNorm"
  7324. bottom: "stage4_res1"
  7325. top: "stage4_res1"
  7326. param {
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  7328. decay_mult: 0
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  7330. param {
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  7334. param {
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  7338. batch_norm_param {
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  7340. eps: 0.001
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  7342. }
  7343. layer {
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  7345. type: "Scale"
  7346. bottom: "stage4_res1"
  7347. top: "stage4_res1"
  7348. param {
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  7352. param {
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  7362. bias_filler {
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  7364. value: 0.0
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  7366. }
  7367. }
  7368. layer {
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  7370. type: "Convolution"
  7371. bottom: "stage4_tb"
  7372. top: "stage4_res2a"
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  7381. kernel_size: 1
  7382. stride: 1
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  7388. layer {
  7389. name: "stage4_res2a/bn"
  7390. type: "BatchNorm"
  7391. bottom: "stage4_res2a"
  7392. top: "stage4_res2a"
  7393. param {
  7394. lr_mult: 0
  7395. decay_mult: 0
  7396. }
  7397. param {
  7398. lr_mult: 0
  7399. decay_mult: 0
  7400. }
  7401. param {
  7402. lr_mult: 0
  7403. decay_mult: 0
  7404. }
  7405. batch_norm_param {
  7406. moving_average_fraction: 0.999
  7407. eps: 0.001
  7408. }
  7409. }
  7410. layer {
  7411. name: "stage4_res2a/scale"
  7412. type: "Scale"
  7413. bottom: "stage4_res2a"
  7414. top: "stage4_res2a"
  7415. param {
  7416. lr_mult: 1
  7417. decay_mult: 0
  7418. }
  7419. param {
  7420. lr_mult: 1
  7421. decay_mult: 0
  7422. }
  7423. scale_param {
  7424. filler {
  7425. type: "constant"
  7426. value: 1.0
  7427. }
  7428. bias_term: true
  7429. bias_filler {
  7430. type: "constant"
  7431. value: 0.0
  7432. }
  7433. }
  7434. }
  7435. layer {
  7436. name: "stage4_res2a/relu"
  7437. type: "ReLU"
  7438. bottom: "stage4_res2a"
  7439. top: "stage4_res2a"
  7440. }
  7441. layer {
  7442. name: "stage4_res2b"
  7443. type: "Convolution"
  7444. bottom: "stage4_res2a"
  7445. top: "stage4_res2b"
  7446. param {
  7447. lr_mult: 1
  7448. decay_mult: 1
  7449. }
  7450. convolution_param {
  7451. num_output: 256
  7452. bias_term: false
  7453. pad: 1
  7454. kernel_size: 3
  7455. stride: 1
  7456. weight_filler {
  7457. type: "xavier"
  7458. }
  7459. }
  7460. }
  7461. layer {
  7462. name: "stage4_res2b/bn"
  7463. type: "BatchNorm"
  7464. bottom: "stage4_res2b"
  7465. top: "stage4_res2b"
  7466. param {
  7467. lr_mult: 0
  7468. decay_mult: 0
  7469. }
  7470. param {
  7471. lr_mult: 0
  7472. decay_mult: 0
  7473. }
  7474. param {
  7475. lr_mult: 0
  7476. decay_mult: 0
  7477. }
  7478. batch_norm_param {
  7479. moving_average_fraction: 0.999
  7480. eps: 0.001
  7481. }
  7482. }
  7483. layer {
  7484. name: "stage4_res2b/scale"
  7485. type: "Scale"
  7486. bottom: "stage4_res2b"
  7487. top: "stage4_res2b"
  7488. param {
  7489. lr_mult: 1
  7490. decay_mult: 0
  7491. }
  7492. param {
  7493. lr_mult: 1
  7494. decay_mult: 0
  7495. }
  7496. scale_param {
  7497. filler {
  7498. type: "constant"
  7499. value: 1.0
  7500. }
  7501. bias_term: true
  7502. bias_filler {
  7503. type: "constant"
  7504. value: 0.0
  7505. }
  7506. }
  7507. }
  7508. layer {
  7509. name: "stage4_res2b/relu"
  7510. type: "ReLU"
  7511. bottom: "stage4_res2b"
  7512. top: "stage4_res2b"
  7513. }
  7514. layer {
  7515. name: "stage4_res2c"
  7516. type: "Convolution"
  7517. bottom: "stage4_res2b"
  7518. top: "stage4_res2c"
  7519. param {
  7520. lr_mult: 1
  7521. decay_mult: 1
  7522. }
  7523. convolution_param {
  7524. num_output: 512
  7525. bias_term: false
  7526. pad: 0
  7527. kernel_size: 1
  7528. stride: 1
  7529. weight_filler {
  7530. type: "xavier"
  7531. }
  7532. }
  7533. }
  7534. layer {
  7535. name: "stage4_res2c/bn"
  7536. type: "BatchNorm"
  7537. bottom: "stage4_res2c"
  7538. top: "stage4_res2c"
  7539. param {
  7540. lr_mult: 0
  7541. decay_mult: 0
  7542. }
  7543. param {
  7544. lr_mult: 0
  7545. decay_mult: 0
  7546. }
  7547. param {
  7548. lr_mult: 0
  7549. decay_mult: 0
  7550. }
  7551. batch_norm_param {
  7552. moving_average_fraction: 0.999
  7553. eps: 0.001
  7554. }
  7555. }
  7556. layer {
  7557. name: "stage4_res2c/scale"
  7558. type: "Scale"
  7559. bottom: "stage4_res2c"
  7560. top: "stage4_res2c"
  7561. param {
  7562. lr_mult: 1
  7563. decay_mult: 0
  7564. }
  7565. param {
  7566. lr_mult: 1
  7567. decay_mult: 0
  7568. }
  7569. scale_param {
  7570. filler {
  7571. type: "constant"
  7572. value: 1.0
  7573. }
  7574. bias_term: true
  7575. bias_filler {
  7576. type: "constant"
  7577. value: 0.0
  7578. }
  7579. }
  7580. }
  7581. layer {
  7582. name: "stage4_res"
  7583. type: "Eltwise"
  7584. bottom: "stage4_res1"
  7585. bottom: "stage4_res2c"
  7586. top: "stage4_res"
  7587. }
  7588. layer {
  7589. name: "stage4_res/relu"
  7590. type: "ReLU"
  7591. bottom: "stage4_res"
  7592. top: "stage4_res"
  7593. }
  7594. layer {
  7595. name: "conv_indoor1"
  7596. type: "Convolution"
  7597. bottom: "stage4_res"
  7598. top: "conv_indoor1"
  7599. param {
  7600. lr_mult: 1
  7601. decay_mult: 1
  7602. }
  7603. param {
  7604. lr_mult: 2
  7605. decay_mult: 0
  7606. }
  7607. convolution_param {
  7608. num_output: 125
  7609. kernel_size: 1
  7610. pad: 0
  7611. stride: 1
  7612. weight_filler {
  7613. type: "xavier"
  7614. }
  7615. bias_filler {
  7616. type: "constant"
  7617. value: 0.0
  7618. }
  7619. }
  7620. }
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