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  1. input: "data"
  2. input_shape {
  3. dim: 1
  4. dim: 3
  5. dim: 299
  6. dim: 299
  7. }
  8. layer {
  9. name: "conv1_3x3_s2"
  10. type: "Convolution"
  11. bottom: "data"
  12. top: "conv1_3x3_s2"
  13. param {
  14. lr_mult: 1
  15. decay_mult: 1
  16. }
  17. convolution_param {
  18. bias_term: false
  19. num_output: 32
  20. pad: 0
  21. kernel_size: 3
  22. stride: 2
  23. weight_filler {
  24. type: "xavier"
  25. std: 0.01
  26. }
  27. }
  28. }
  29. layer {
  30. name: "conv1_3x3_s2_bn"
  31. type: "BatchNorm"
  32. bottom: "conv1_3x3_s2"
  33. top: "conv1_3x3_s2"
  34. batch_norm_param {
  35. use_global_stats: true
  36. eps: 0.001
  37. }
  38. }
  39. layer {
  40. name: "conv1_3x3_s2_scale"
  41. type: "Scale"
  42. bottom: "conv1_3x3_s2"
  43. top: "conv1_3x3_s2"
  44. scale_param {
  45. bias_term: true
  46. }
  47. }
  48. layer {
  49. name: "conv1_3x3_relu"
  50. type: "ReLU"
  51. bottom: "conv1_3x3_s2"
  52. top: "conv1_3x3_s2"
  53. }
  54. layer {
  55. name: "conv2_3x3_s1"
  56. type: "Convolution"
  57. bottom: "conv1_3x3_s2"
  58. top: "conv2_3x3_s1"
  59. param {
  60. lr_mult: 1
  61. decay_mult: 1
  62. }
  63. convolution_param {
  64. bias_term: false
  65. num_output: 32
  66. pad: 0
  67. kernel_size: 3
  68. stride: 1
  69. weight_filler {
  70. type: "xavier"
  71. std: 0.01
  72. }
  73. }
  74. }
  75. layer {
  76. name: "conv2_3x3_s1_bn"
  77. type: "BatchNorm"
  78. bottom: "conv2_3x3_s1"
  79. top: "conv2_3x3_s1"
  80. batch_norm_param {
  81. use_global_stats: true
  82. eps: 0.001
  83. }
  84. }
  85. layer {
  86. name: "conv2_3x3_s1_scale"
  87. type: "Scale"
  88. bottom: "conv2_3x3_s1"
  89. top: "conv2_3x3_s1"
  90. scale_param {
  91. bias_term: true
  92. }
  93. }
  94. layer {
  95. name: "conv2_3x3_relu"
  96. type: "ReLU"
  97. bottom: "conv2_3x3_s1"
  98. top: "conv2_3x3_s1"
  99. }
  100. layer {
  101. name: "conv3_3x3_s1"
  102. type: "Convolution"
  103. bottom: "conv2_3x3_s1"
  104. top: "conv3_3x3_s1"
  105. param {
  106. lr_mult: 1
  107. decay_mult: 1
  108. }
  109. convolution_param {
  110. bias_term: false
  111. num_output: 64
  112. pad: 1
  113. kernel_size: 3
  114. stride: 1
  115. weight_filler {
  116. type: "xavier"
  117. std: 0.01
  118. }
  119. }
  120. }
  121. layer {
  122. name: "conv3_3x3_s1_bn"
  123. type: "BatchNorm"
  124. bottom: "conv3_3x3_s1"
  125. top: "conv3_3x3_s1"
  126. batch_norm_param {
  127. use_global_stats: true
  128. eps: 0.001
  129. }
  130. }
  131. layer {
  132. name: "conv3_3x3_s1_scale"
  133. type: "Scale"
  134. bottom: "conv3_3x3_s1"
  135. top: "conv3_3x3_s1"
  136. scale_param {
  137. bias_term: true
  138. }
  139. }
  140. layer {
  141. name: "conv3_3x3_relu"
  142. type: "ReLU"
  143. bottom: "conv3_3x3_s1"
  144. top: "conv3_3x3_s1"
  145. }
  146. layer {
  147. name: "pool1_3x3_s2"
  148. type: "Pooling"
  149. bottom: "conv3_3x3_s1"
  150. top: "pool1_3x3_s2"
  151. pooling_param {
  152. pool: MAX
  153. kernel_size: 3
  154. stride: 2
  155. }
  156. }
  157. layer {
  158. name: "conv4_3x3_reduce"
  159. type: "Convolution"
  160. bottom: "pool1_3x3_s2"
  161. top: "conv4_3x3_reduce"
  162. param {
  163. lr_mult: 1
  164. decay_mult: 1
  165. }
  166. convolution_param {
  167. bias_term: false
  168. num_output: 80
  169. pad: 0
  170. kernel_size: 1
  171. stride: 1
  172. weight_filler {
  173. type: "xavier"
  174. std: 0.01
  175. }
  176. }
  177. }
  178. layer {
  179. name: "conv4_3x3_reduce_bn"
  180. type: "BatchNorm"
  181. bottom: "conv4_3x3_reduce"
  182. top: "conv4_3x3_reduce"
  183. batch_norm_param {
  184. use_global_stats: true
  185. eps: 0.001
  186. }
  187. }
  188. layer {
  189. name: "conv4_3x3_reduce_scale"
  190. type: "Scale"
  191. bottom: "conv4_3x3_reduce"
  192. top: "conv4_3x3_reduce"
  193. scale_param {
  194. bias_term: true
  195. }
  196. }
  197. layer {
  198. name: "conv4_relu_3x3_reduce"
  199. type: "ReLU"
  200. bottom: "conv4_3x3_reduce"
  201. top: "conv4_3x3_reduce"
  202. }
  203. layer {
  204. name: "conv4_3x3"
  205. type: "Convolution"
  206. bottom: "conv4_3x3_reduce"
  207. top: "conv4_3x3"
  208. param {
  209. lr_mult: 1
  210. decay_mult: 1
  211. }
  212. convolution_param {
  213. bias_term: false
  214. num_output: 192
  215. pad: 0
  216. kernel_size: 3
  217. stride: 1
  218. weight_filler {
  219. type: "xavier"
  220. std: 0.01
  221. }
  222. }
  223. }
  224. layer {
  225. name: "conv4_3x3_bn"
  226. type: "BatchNorm"
  227. bottom: "conv4_3x3"
  228. top: "conv4_3x3"
  229. batch_norm_param {
  230. use_global_stats: true
  231. eps: 0.001
  232. }
  233. }
  234. layer {
  235. name: "conv4_3x3_scale"
  236. type: "Scale"
  237. bottom: "conv4_3x3"
  238. top: "conv4_3x3"
  239. scale_param {
  240. bias_term: true
  241. }
  242. }
  243. layer {
  244. name: "conv4_relu_3x3"
  245. type: "ReLU"
  246. bottom: "conv4_3x3"
  247. top: "conv4_3x3"
  248. }
  249. layer {
  250. name: "pool2_3x3_s2"
  251. type: "Pooling"
  252. bottom: "conv4_3x3"
  253. top: "pool2_3x3_s2"
  254. pooling_param {
  255. pool: MAX
  256. kernel_size: 3
  257. stride: 2
  258. }
  259. }
  260. layer {
  261. name: "inception_a1_1x1"
  262. type: "Convolution"
  263. bottom: "pool2_3x3_s2"
  264. top: "inception_a1_1x1"
  265. param {
  266. lr_mult: 1
  267. decay_mult: 1
  268. }
  269. convolution_param {
  270. bias_term: false
  271. num_output: 64
  272. pad: 0
  273. kernel_size: 1
  274. stride: 1
  275. weight_filler {
  276. type: "xavier"
  277. std: 0.01
  278. }
  279. }
  280. }
  281. layer {
  282. name: "inception_a1_1x1_bn"
  283. type: "BatchNorm"
  284. bottom: "inception_a1_1x1"
  285. top: "inception_a1_1x1"
  286. batch_norm_param {
  287. use_global_stats: true
  288. eps: 0.001
  289. }
  290. }
  291. layer {
  292. name: "inception_a1_1x1_scale"
  293. type: "Scale"
  294. bottom: "inception_a1_1x1"
  295. top: "inception_a1_1x1"
  296. scale_param {
  297. bias_term: true
  298. }
  299. }
  300. layer {
  301. name: "inception_a1_1x1_relu"
  302. type: "ReLU"
  303. bottom: "inception_a1_1x1"
  304. top: "inception_a1_1x1"
  305. }
  306. layer {
  307. name: "inception_a1_5x5_reduce"
  308. type: "Convolution"
  309. bottom: "pool2_3x3_s2"
  310. top: "inception_a1_5x5_reduce"
  311. param {
  312. lr_mult: 1
  313. decay_mult: 1
  314. }
  315. convolution_param {
  316. bias_term: false
  317. num_output: 48
  318. pad: 0
  319. kernel_size: 1
  320. stride: 1
  321. weight_filler {
  322. type: "xavier"
  323. std: 0.01
  324. }
  325. }
  326. }
  327. layer {
  328. name: "inception_a1_5x5_reduce_bn"
  329. type: "BatchNorm"
  330. bottom: "inception_a1_5x5_reduce"
  331. top: "inception_a1_5x5_reduce"
  332. batch_norm_param {
  333. use_global_stats: true
  334. eps: 0.001
  335. }
  336. }
  337. layer {
  338. name: "inception_a1_5x5_reduce_scale"
  339. type: "Scale"
  340. bottom: "inception_a1_5x5_reduce"
  341. top: "inception_a1_5x5_reduce"
  342. scale_param {
  343. bias_term: true
  344. }
  345. }
  346. layer {
  347. name: "inception_a1_5x5_reduce_relu"
  348. type: "ReLU"
  349. bottom: "inception_a1_5x5_reduce"
  350. top: "inception_a1_5x5_reduce"
  351. }
  352. layer {
  353. name: "inception_a1_5x5"
  354. type: "Convolution"
  355. bottom: "inception_a1_5x5_reduce"
  356. top: "inception_a1_5x5"
  357. param {
  358. lr_mult: 1
  359. decay_mult: 1
  360. }
  361. convolution_param {
  362. bias_term: false
  363. num_output: 64
  364. pad: 2
  365. kernel_size: 5
  366. stride: 1
  367. weight_filler {
  368. type: "xavier"
  369. std: 0.01
  370. }
  371. }
  372. }
  373. layer {
  374. name: "inception_a1_5x5_bn"
  375. type: "BatchNorm"
  376. bottom: "inception_a1_5x5"
  377. top: "inception_a1_5x5"
  378. batch_norm_param {
  379. use_global_stats: true
  380. eps: 0.001
  381. }
  382. }
  383. layer {
  384. name: "inception_a1_5x5_scale"
  385. type: "Scale"
  386. bottom: "inception_a1_5x5"
  387. top: "inception_a1_5x5"
  388. scale_param {
  389. bias_term: true
  390. }
  391. }
  392. layer {
  393. name: "inception_a1_5x5_relu"
  394. type: "ReLU"
  395. bottom: "inception_a1_5x5"
  396. top: "inception_a1_5x5"
  397. }
  398. layer {
  399. name: "inception_a1_3x3_reduce"
  400. type: "Convolution"
  401. bottom: "pool2_3x3_s2"
  402. top: "inception_a1_3x3_reduce"
  403. param {
  404. lr_mult: 1
  405. decay_mult: 1
  406. }
  407. convolution_param {
  408. bias_term: false
  409. num_output: 64
  410. pad: 0
  411. kernel_size: 1
  412. stride: 1
  413. weight_filler {
  414. type: "xavier"
  415. std: 0.01
  416. }
  417. }
  418. }
  419. layer {
  420. name: "inception_a1_3x3_reduce_bn"
  421. type: "BatchNorm"
  422. bottom: "inception_a1_3x3_reduce"
  423. top: "inception_a1_3x3_reduce"
  424. batch_norm_param {
  425. use_global_stats: true
  426. eps: 0.001
  427. }
  428. }
  429. layer {
  430. name: "inception_a1_3x3_reduce_scale"
  431. type: "Scale"
  432. bottom: "inception_a1_3x3_reduce"
  433. top: "inception_a1_3x3_reduce"
  434. scale_param {
  435. bias_term: true
  436. }
  437. }
  438. layer {
  439. name: "inception_a1_3x3_reduce_relu"
  440. type: "ReLU"
  441. bottom: "inception_a1_3x3_reduce"
  442. top: "inception_a1_3x3_reduce"
  443. }
  444. layer {
  445. name: "inception_a1_3x3_1"
  446. type: "Convolution"
  447. bottom: "inception_a1_3x3_reduce"
  448. top: "inception_a1_3x3_1"
  449. param {
  450. lr_mult: 1
  451. decay_mult: 1
  452. }
  453. convolution_param {
  454. bias_term: false
  455. num_output: 96
  456. pad: 1
  457. kernel_size: 3
  458. stride: 1
  459. weight_filler {
  460. type: "xavier"
  461. std: 0.01
  462. }
  463. }
  464. }
  465. layer {
  466. name: "inception_a1_3x3_1_bn"
  467. type: "BatchNorm"
  468. bottom: "inception_a1_3x3_1"
  469. top: "inception_a1_3x3_1"
  470. batch_norm_param {
  471. use_global_stats: true
  472. eps: 0.001
  473. }
  474. }
  475. layer {
  476. name: "inception_a1_3x3_1_scale"
  477. type: "Scale"
  478. bottom: "inception_a1_3x3_1"
  479. top: "inception_a1_3x3_1"
  480. scale_param {
  481. bias_term: true
  482. }
  483. }
  484. layer {
  485. name: "inception_a1_3x3_1_relu"
  486. type: "ReLU"
  487. bottom: "inception_a1_3x3_1"
  488. top: "inception_a1_3x3_1"
  489. }
  490. layer {
  491. name: "inception_a1_3x3_2"
  492. type: "Convolution"
  493. bottom: "inception_a1_3x3_1"
  494. top: "inception_a1_3x3_2"
  495. param {
  496. lr_mult: 1
  497. decay_mult: 1
  498. }
  499. convolution_param {
  500. bias_term: false
  501. num_output: 96
  502. pad: 1
  503. kernel_size: 3
  504. stride: 1
  505. weight_filler {
  506. type: "xavier"
  507. std: 0.01
  508. }
  509. }
  510. }
  511. layer {
  512. name: "inception_a1_3x3_2_bn"
  513. type: "BatchNorm"
  514. bottom: "inception_a1_3x3_2"
  515. top: "inception_a1_3x3_2"
  516. batch_norm_param {
  517. use_global_stats: true
  518. eps: 0.001
  519. }
  520. }
  521. layer {
  522. name: "inception_a1_3x3_2_scale"
  523. type: "Scale"
  524. bottom: "inception_a1_3x3_2"
  525. top: "inception_a1_3x3_2"
  526. scale_param {
  527. bias_term: true
  528. }
  529. }
  530. layer {
  531. name: "inception_a1_3x3_2_relu"
  532. type: "ReLU"
  533. bottom: "inception_a1_3x3_2"
  534. top: "inception_a1_3x3_2"
  535. }
  536. layer {
  537. name: "inception_a1_pool"
  538. type: "Pooling"
  539. bottom: "pool2_3x3_s2"
  540. top: "inception_a1_pool"
  541. pooling_param {
  542. pool: AVE
  543. kernel_size: 3
  544. stride: 1
  545. pad: 1
  546. }
  547. }
  548. layer {
  549. name: "inception_a1_pool_proj"
  550. type: "Convolution"
  551. bottom: "inception_a1_pool"
  552. top: "inception_a1_pool_proj"
  553. param {
  554. lr_mult: 1
  555. decay_mult: 1
  556. }
  557. convolution_param {
  558. bias_term: false
  559. num_output: 32
  560. pad: 0
  561. kernel_size: 1
  562. stride: 1
  563. weight_filler {
  564. type: "xavier"
  565. std: 0.01
  566. }
  567. }
  568. }
  569. layer {
  570. name: "inception_a1_pool_proj_bn"
  571. type: "BatchNorm"
  572. bottom: "inception_a1_pool_proj"
  573. top: "inception_a1_pool_proj"
  574. batch_norm_param {
  575. use_global_stats: true
  576. eps: 0.001
  577. }
  578. }
  579. layer {
  580. name: "inception_a1_pool_proj_scale"
  581. type: "Scale"
  582. bottom: "inception_a1_pool_proj"
  583. top: "inception_a1_pool_proj"
  584. scale_param {
  585. bias_term: true
  586. }
  587. }
  588. layer {
  589. name: "inception_a1_pool_proj_relu"
  590. type: "ReLU"
  591. bottom: "inception_a1_pool_proj"
  592. top: "inception_a1_pool_proj"
  593. }
  594. layer {
  595. name: "inception_a1_output"
  596. type: "Concat"
  597. bottom: "inception_a1_1x1"
  598. bottom: "inception_a1_5x5"
  599. bottom: "inception_a1_3x3_2"
  600. bottom: "inception_a1_pool_proj"
  601. top: "inception_a1_output"
  602. }
  603. layer {
  604. name: "inception_a2_1x1"
  605. type: "Convolution"
  606. bottom: "inception_a1_output"
  607. top: "inception_a2_1x1"
  608. param {
  609. lr_mult: 1
  610. decay_mult: 1
  611. }
  612. convolution_param {
  613. bias_term: false
  614. num_output: 64
  615. pad: 0
  616. kernel_size: 1
  617. stride: 1
  618. weight_filler {
  619. type: "xavier"
  620. std: 0.01
  621. }
  622. }
  623. }
  624. layer {
  625. name: "inception_a2_1x1_bn"
  626. type: "BatchNorm"
  627. bottom: "inception_a2_1x1"
  628. top: "inception_a2_1x1"
  629. batch_norm_param {
  630. use_global_stats: true
  631. eps: 0.001
  632. }
  633. }
  634. layer {
  635. name: "inception_a2_1x1_scale"
  636. type: "Scale"
  637. bottom: "inception_a2_1x1"
  638. top: "inception_a2_1x1"
  639. scale_param {
  640. bias_term: true
  641. }
  642. }
  643. layer {
  644. name: "inception_a2_1x1_relu"
  645. type: "ReLU"
  646. bottom: "inception_a2_1x1"
  647. top: "inception_a2_1x1"
  648. }
  649. layer {
  650. name: "inception_a2_5x5_reduce"
  651. type: "Convolution"
  652. bottom: "inception_a1_output"
  653. top: "inception_a2_5x5_reduce"
  654. param {
  655. lr_mult: 1
  656. decay_mult: 1
  657. }
  658. convolution_param {
  659. bias_term: false
  660. num_output: 48
  661. pad: 0
  662. kernel_size: 1
  663. stride: 1
  664. weight_filler {
  665. type: "xavier"
  666. std: 0.01
  667. }
  668. }
  669. }
  670. layer {
  671. name: "inception_a2_5x5_reduce_bn"
  672. type: "BatchNorm"
  673. bottom: "inception_a2_5x5_reduce"
  674. top: "inception_a2_5x5_reduce"
  675. batch_norm_param {
  676. use_global_stats: true
  677. eps: 0.001
  678. }
  679. }
  680. layer {
  681. name: "inception_a2_5x5_reduce_scale"
  682. type: "Scale"
  683. bottom: "inception_a2_5x5_reduce"
  684. top: "inception_a2_5x5_reduce"
  685. scale_param {
  686. bias_term: true
  687. }
  688. }
  689. layer {
  690. name: "inception_a2_5x5_reduce_relu"
  691. type: "ReLU"
  692. bottom: "inception_a2_5x5_reduce"
  693. top: "inception_a2_5x5_reduce"
  694. }
  695. layer {
  696. name: "inception_a2_5x5"
  697. type: "Convolution"
  698. bottom: "inception_a2_5x5_reduce"
  699. top: "inception_a2_5x5"
  700. param {
  701. lr_mult: 1
  702. decay_mult: 1
  703. }
  704. convolution_param {
  705. bias_term: false
  706. num_output: 64
  707. pad: 2
  708. kernel_size: 5
  709. stride: 1
  710. weight_filler {
  711. type: "xavier"
  712. std: 0.01
  713. }
  714. }
  715. }
  716. layer {
  717. name: "inception_a2_5x5_bn"
  718. type: "BatchNorm"
  719. bottom: "inception_a2_5x5"
  720. top: "inception_a2_5x5"
  721. batch_norm_param {
  722. use_global_stats: true
  723. eps: 0.001
  724. }
  725. }
  726. layer {
  727. name: "inception_a2_5x5_scale"
  728. type: "Scale"
  729. bottom: "inception_a2_5x5"
  730. top: "inception_a2_5x5"
  731. scale_param {
  732. bias_term: true
  733. }
  734. }
  735. layer {
  736. name: "inception_a2_5x5_relu"
  737. type: "ReLU"
  738. bottom: "inception_a2_5x5"
  739. top: "inception_a2_5x5"
  740. }
  741. layer {
  742. name: "inception_a2_3x3_reduce"
  743. type: "Convolution"
  744. bottom: "inception_a1_output"
  745. top: "inception_a2_3x3_reduce"
  746. param {
  747. lr_mult: 1
  748. decay_mult: 1
  749. }
  750. convolution_param {
  751. bias_term: false
  752. num_output: 64
  753. pad: 0
  754. kernel_size: 1
  755. stride: 1
  756. weight_filler {
  757. type: "xavier"
  758. std: 0.01
  759. }
  760. }
  761. }
  762. layer {
  763. name: "inception_a2_3x3_reduce_bn"
  764. type: "BatchNorm"
  765. bottom: "inception_a2_3x3_reduce"
  766. top: "inception_a2_3x3_reduce"
  767. batch_norm_param {
  768. use_global_stats: true
  769. eps: 0.001
  770. }
  771. }
  772. layer {
  773. name: "inception_a2_3x3_reduce_scale"
  774. type: "Scale"
  775. bottom: "inception_a2_3x3_reduce"
  776. top: "inception_a2_3x3_reduce"
  777. scale_param {
  778. bias_term: true
  779. }
  780. }
  781. layer {
  782. name: "inception_a2_3x3_reduce_relu"
  783. type: "ReLU"
  784. bottom: "inception_a2_3x3_reduce"
  785. top: "inception_a2_3x3_reduce"
  786. }
  787. layer {
  788. name: "inception_a2_3x3_1"
  789. type: "Convolution"
  790. bottom: "inception_a2_3x3_reduce"
  791. top: "inception_a2_3x3_1"
  792. param {
  793. lr_mult: 1
  794. decay_mult: 1
  795. }
  796. convolution_param {
  797. bias_term: false
  798. num_output: 96
  799. pad: 1
  800. kernel_size: 3
  801. stride: 1
  802. weight_filler {
  803. type: "xavier"
  804. std: 0.01
  805. }
  806. }
  807. }
  808. layer {
  809. name: "inception_a2_3x3_1_bn"
  810. type: "BatchNorm"
  811. bottom: "inception_a2_3x3_1"
  812. top: "inception_a2_3x3_1"
  813. batch_norm_param {
  814. use_global_stats: true
  815. eps: 0.001
  816. }
  817. }
  818. layer {
  819. name: "inception_a2_3x3_1_scale"
  820. type: "Scale"
  821. bottom: "inception_a2_3x3_1"
  822. top: "inception_a2_3x3_1"
  823. scale_param {
  824. bias_term: true
  825. }
  826. }
  827. layer {
  828. name: "inception_a2_3x3_1_relu"
  829. type: "ReLU"
  830. bottom: "inception_a2_3x3_1"
  831. top: "inception_a2_3x3_1"
  832. }
  833. layer {
  834. name: "inception_a2_3x3_2"
  835. type: "Convolution"
  836. bottom: "inception_a2_3x3_1"
  837. top: "inception_a2_3x3_2"
  838. param {
  839. lr_mult: 1
  840. decay_mult: 1
  841. }
  842. convolution_param {
  843. bias_term: false
  844. num_output: 96
  845. pad: 1
  846. kernel_size: 3
  847. stride: 1
  848. weight_filler {
  849. type: "xavier"
  850. std: 0.01
  851. }
  852. }
  853. }
  854. layer {
  855. name: "inception_a2_3x3_2_bn"
  856. type: "BatchNorm"
  857. bottom: "inception_a2_3x3_2"
  858. top: "inception_a2_3x3_2"
  859. batch_norm_param {
  860. use_global_stats: true
  861. eps: 0.001
  862. }
  863. }
  864. layer {
  865. name: "inception_a2_3x3_2_scale"
  866. type: "Scale"
  867. bottom: "inception_a2_3x3_2"
  868. top: "inception_a2_3x3_2"
  869. scale_param {
  870. bias_term: true
  871. }
  872. }
  873. layer {
  874. name: "inception_a2_3x3_2_relu"
  875. type: "ReLU"
  876. bottom: "inception_a2_3x3_2"
  877. top: "inception_a2_3x3_2"
  878. }
  879. layer {
  880. name: "inception_a2_pool"
  881. type: "Pooling"
  882. bottom: "inception_a1_output"
  883. top: "inception_a2_pool"
  884. pooling_param {
  885. pool: AVE
  886. kernel_size: 3
  887. stride: 1
  888. pad: 1
  889. }
  890. }
  891. layer {
  892. name: "inception_a2_pool_proj"
  893. type: "Convolution"
  894. bottom: "inception_a2_pool"
  895. top: "inception_a2_pool_proj"
  896. param {
  897. lr_mult: 1
  898. decay_mult: 1
  899. }
  900. convolution_param {
  901. bias_term: false
  902. num_output: 64
  903. pad: 0
  904. kernel_size: 1
  905. stride: 1
  906. weight_filler {
  907. type: "xavier"
  908. std: 0.01
  909. }
  910. }
  911. }
  912. layer {
  913. name: "inception_a2_pool_proj_bn"
  914. type: "BatchNorm"
  915. bottom: "inception_a2_pool_proj"
  916. top: "inception_a2_pool_proj"
  917. batch_norm_param {
  918. use_global_stats: true
  919. eps: 0.001
  920. }
  921. }
  922. layer {
  923. name: "inception_a2_pool_proj_scale"
  924. type: "Scale"
  925. bottom: "inception_a2_pool_proj"
  926. top: "inception_a2_pool_proj"
  927. scale_param {
  928. bias_term: true
  929. }
  930. }
  931. layer {
  932. name: "inception_a2_pool_proj_relu"
  933. type: "ReLU"
  934. bottom: "inception_a2_pool_proj"
  935. top: "inception_a2_pool_proj"
  936. }
  937. layer {
  938. name: "inception_a2_output"
  939. type: "Concat"
  940. bottom: "inception_a2_1x1"
  941. bottom: "inception_a2_5x5"
  942. bottom: "inception_a2_3x3_2"
  943. bottom: "inception_a2_pool_proj"
  944. top: "inception_a2_output"
  945. }
  946. layer {
  947. name: "inception_a3_1x1"
  948. type: "Convolution"
  949. bottom: "inception_a2_output"
  950. top: "inception_a3_1x1"
  951. param {
  952. lr_mult: 1
  953. decay_mult: 1
  954. }
  955. convolution_param {
  956. bias_term: false
  957. num_output: 64
  958. pad: 0
  959. kernel_size: 1
  960. stride: 1
  961. weight_filler {
  962. type: "xavier"
  963. std: 0.01
  964. }
  965. }
  966. }
  967. layer {
  968. name: "inception_a3_1x1_bn"
  969. type: "BatchNorm"
  970. bottom: "inception_a3_1x1"
  971. top: "inception_a3_1x1"
  972. batch_norm_param {
  973. use_global_stats: true
  974. eps: 0.001
  975. }
  976. }
  977. layer {
  978. name: "inception_a3_1x1_scale"
  979. type: "Scale"
  980. bottom: "inception_a3_1x1"
  981. top: "inception_a3_1x1"
  982. scale_param {
  983. bias_term: true
  984. }
  985. }
  986. layer {
  987. name: "inception_a3_1x1_relu"
  988. type: "ReLU"
  989. bottom: "inception_a3_1x1"
  990. top: "inception_a3_1x1"
  991. }
  992. layer {
  993. name: "inception_a3_5x5_reduce"
  994. type: "Convolution"
  995. bottom: "inception_a2_output"
  996. top: "inception_a3_5x5_reduce"
  997. param {
  998. lr_mult: 1
  999. decay_mult: 1
  1000. }
  1001. convolution_param {
  1002. bias_term: false
  1003. num_output: 48
  1004. pad: 0
  1005. kernel_size: 1
  1006. stride: 1
  1007. weight_filler {
  1008. type: "xavier"
  1009. std: 0.01
  1010. }
  1011. }
  1012. }
  1013. layer {
  1014. name: "inception_a3_5x5_reduce_bn"
  1015. type: "BatchNorm"
  1016. bottom: "inception_a3_5x5_reduce"
  1017. top: "inception_a3_5x5_reduce"
  1018. batch_norm_param {
  1019. use_global_stats: true
  1020. eps: 0.001
  1021. }
  1022. }
  1023. layer {
  1024. name: "inception_a3_5x5_reduce_scale"
  1025. type: "Scale"
  1026. bottom: "inception_a3_5x5_reduce"
  1027. top: "inception_a3_5x5_reduce"
  1028. scale_param {
  1029. bias_term: true
  1030. }
  1031. }
  1032. layer {
  1033. name: "inception_a3_5x5_reduce_relu"
  1034. type: "ReLU"
  1035. bottom: "inception_a3_5x5_reduce"
  1036. top: "inception_a3_5x5_reduce"
  1037. }
  1038. layer {
  1039. name: "inception_a3_5x5"
  1040. type: "Convolution"
  1041. bottom: "inception_a3_5x5_reduce"
  1042. top: "inception_a3_5x5"
  1043. param {
  1044. lr_mult: 1
  1045. decay_mult: 1
  1046. }
  1047. convolution_param {
  1048. bias_term: false
  1049. num_output: 64
  1050. pad: 2
  1051. kernel_size: 5
  1052. stride: 1
  1053. weight_filler {
  1054. type: "xavier"
  1055. std: 0.01
  1056. }
  1057. }
  1058. }
  1059. layer {
  1060. name: "inception_a3_5x5_bn"
  1061. type: "BatchNorm"
  1062. bottom: "inception_a3_5x5"
  1063. top: "inception_a3_5x5"
  1064. batch_norm_param {
  1065. use_global_stats: true
  1066. eps: 0.001
  1067. }
  1068. }
  1069. layer {
  1070. name: "inception_a3_5x5_scale"
  1071. type: "Scale"
  1072. bottom: "inception_a3_5x5"
  1073. top: "inception_a3_5x5"
  1074. scale_param {
  1075. bias_term: true
  1076. }
  1077. }
  1078. layer {
  1079. name: "inception_a3_5x5_relu"
  1080. type: "ReLU"
  1081. bottom: "inception_a3_5x5"
  1082. top: "inception_a3_5x5"
  1083. }
  1084. layer {
  1085. name: "inception_a3_3x3_reduce"
  1086. type: "Convolution"
  1087. bottom: "inception_a2_output"
  1088. top: "inception_a3_3x3_reduce"
  1089. param {
  1090. lr_mult: 1
  1091. decay_mult: 1
  1092. }
  1093. convolution_param {
  1094. bias_term: false
  1095. num_output: 64
  1096. pad: 0
  1097. kernel_size: 1
  1098. stride: 1
  1099. weight_filler {
  1100. type: "xavier"
  1101. std: 0.01
  1102. }
  1103. }
  1104. }
  1105. layer {
  1106. name: "inception_a3_3x3_reduce_bn"
  1107. type: "BatchNorm"
  1108. bottom: "inception_a3_3x3_reduce"
  1109. top: "inception_a3_3x3_reduce"
  1110. batch_norm_param {
  1111. use_global_stats: true
  1112. eps: 0.001
  1113. }
  1114. }
  1115. layer {
  1116. name: "inception_a3_3x3_reduce_scale"
  1117. type: "Scale"
  1118. bottom: "inception_a3_3x3_reduce"
  1119. top: "inception_a3_3x3_reduce"
  1120. scale_param {
  1121. bias_term: true
  1122. }
  1123. }
  1124. layer {
  1125. name: "inception_a3_3x3_reduce_relu"
  1126. type: "ReLU"
  1127. bottom: "inception_a3_3x3_reduce"
  1128. top: "inception_a3_3x3_reduce"
  1129. }
  1130. layer {
  1131. name: "inception_a3_3x3_1"
  1132. type: "Convolution"
  1133. bottom: "inception_a3_3x3_reduce"
  1134. top: "inception_a3_3x3_1"
  1135. param {
  1136. lr_mult: 1
  1137. decay_mult: 1
  1138. }
  1139. convolution_param {
  1140. bias_term: false
  1141. num_output: 96
  1142. pad: 1
  1143. kernel_size: 3
  1144. stride: 1
  1145. weight_filler {
  1146. type: "xavier"
  1147. std: 0.01
  1148. }
  1149. }
  1150. }
  1151. layer {
  1152. name: "inception_a3_3x3_1_bn"
  1153. type: "BatchNorm"
  1154. bottom: "inception_a3_3x3_1"
  1155. top: "inception_a3_3x3_1"
  1156. batch_norm_param {
  1157. use_global_stats: true
  1158. eps: 0.001
  1159. }
  1160. }
  1161. layer {
  1162. name: "inception_a3_3x3_1_scale"
  1163. type: "Scale"
  1164. bottom: "inception_a3_3x3_1"
  1165. top: "inception_a3_3x3_1"
  1166. scale_param {
  1167. bias_term: true
  1168. }
  1169. }
  1170. layer {
  1171. name: "inception_a3_3x3_1_relu"
  1172. type: "ReLU"
  1173. bottom: "inception_a3_3x3_1"
  1174. top: "inception_a3_3x3_1"
  1175. }
  1176. layer {
  1177. name: "inception_a3_3x3_2"
  1178. type: "Convolution"
  1179. bottom: "inception_a3_3x3_1"
  1180. top: "inception_a3_3x3_2"
  1181. param {
  1182. lr_mult: 1
  1183. decay_mult: 1
  1184. }
  1185. convolution_param {
  1186. bias_term: false
  1187. num_output: 96
  1188. pad: 1
  1189. kernel_size: 3
  1190. stride: 1
  1191. weight_filler {
  1192. type: "xavier"
  1193. std: 0.01
  1194. }
  1195. }
  1196. }
  1197. layer {
  1198. name: "inception_a3_3x3_2_bn"
  1199. type: "BatchNorm"
  1200. bottom: "inception_a3_3x3_2"
  1201. top: "inception_a3_3x3_2"
  1202. batch_norm_param {
  1203. use_global_stats: true
  1204. eps: 0.001
  1205. }
  1206. }
  1207. layer {
  1208. name: "inception_a3_3x3_2_scale"
  1209. type: "Scale"
  1210. bottom: "inception_a3_3x3_2"
  1211. top: "inception_a3_3x3_2"
  1212. scale_param {
  1213. bias_term: true
  1214. }
  1215. }
  1216. layer {
  1217. name: "inception_a3_3x3_2_relu"
  1218. type: "ReLU"
  1219. bottom: "inception_a3_3x3_2"
  1220. top: "inception_a3_3x3_2"
  1221. }
  1222. layer {
  1223. name: "inception_a3_pool"
  1224. type: "Pooling"
  1225. bottom: "inception_a2_output"
  1226. top: "inception_a3_pool"
  1227. pooling_param {
  1228. pool: AVE
  1229. kernel_size: 3
  1230. stride: 1
  1231. pad: 1
  1232. }
  1233. }
  1234. layer {
  1235. name: "inception_a3_pool_proj"
  1236. type: "Convolution"
  1237. bottom: "inception_a3_pool"
  1238. top: "inception_a3_pool_proj"
  1239. param {
  1240. lr_mult: 1
  1241. decay_mult: 1
  1242. }
  1243. convolution_param {
  1244. bias_term: false
  1245. num_output: 64
  1246. pad: 0
  1247. kernel_size: 1
  1248. stride: 1
  1249. weight_filler {
  1250. type: "xavier"
  1251. std: 0.01
  1252. }
  1253. }
  1254. }
  1255. layer {
  1256. name: "inception_a3_pool_proj_bn"
  1257. type: "BatchNorm"
  1258. bottom: "inception_a3_pool_proj"
  1259. top: "inception_a3_pool_proj"
  1260. batch_norm_param {
  1261. use_global_stats: true
  1262. eps: 0.001
  1263. }
  1264. }
  1265. layer {
  1266. name: "inception_a3_pool_proj_scale"
  1267. type: "Scale"
  1268. bottom: "inception_a3_pool_proj"
  1269. top: "inception_a3_pool_proj"
  1270. scale_param {
  1271. bias_term: true
  1272. }
  1273. }
  1274. layer {
  1275. name: "inception_a3_pool_proj_relu"
  1276. type: "ReLU"
  1277. bottom: "inception_a3_pool_proj"
  1278. top: "inception_a3_pool_proj"
  1279. }
  1280. layer {
  1281. name: "inception_a3_output"
  1282. type: "Concat"
  1283. bottom: "inception_a3_1x1"
  1284. bottom: "inception_a3_5x5"
  1285. bottom: "inception_a3_3x3_2"
  1286. bottom: "inception_a3_pool_proj"
  1287. top: "inception_a3_output"
  1288. }
  1289. layer {
  1290. name: "reduction_a_3x3"
  1291. type: "Convolution"
  1292. bottom: "inception_a3_output"
  1293. top: "reduction_a_3x3"
  1294. param {
  1295. lr_mult: 1
  1296. decay_mult: 1
  1297. }
  1298. convolution_param {
  1299. bias_term: false
  1300. num_output: 384
  1301. pad: 0
  1302. kernel_size: 3
  1303. stride: 2
  1304. weight_filler {
  1305. type: "xavier"
  1306. std: 0.01
  1307. }
  1308. }
  1309. }
  1310. layer {
  1311. name: "reduction_a_3x3_bn"
  1312. type: "BatchNorm"
  1313. bottom: "reduction_a_3x3"
  1314. top: "reduction_a_3x3"
  1315. batch_norm_param {
  1316. use_global_stats: true
  1317. eps: 0.001
  1318. }
  1319. }
  1320. layer {
  1321. name: "reduction_a_3x3_scale"
  1322. type: "Scale"
  1323. bottom: "reduction_a_3x3"
  1324. top: "reduction_a_3x3"
  1325. scale_param {
  1326. bias_term: true
  1327. }
  1328. }
  1329. layer {
  1330. name: "reduction_a_3x3_relu"
  1331. type: "ReLU"
  1332. bottom: "reduction_a_3x3"
  1333. top: "reduction_a_3x3"
  1334. }
  1335. layer {
  1336. name: "reduction_a_3x3_2_reduce"
  1337. type: "Convolution"
  1338. bottom: "inception_a3_output"
  1339. top: "reduction_a_3x3_2_reduce"
  1340. param {
  1341. lr_mult: 1
  1342. decay_mult: 1
  1343. }
  1344. convolution_param {
  1345. bias_term: false
  1346. num_output: 64
  1347. pad: 0
  1348. kernel_size: 1
  1349. stride: 1
  1350. weight_filler {
  1351. type: "xavier"
  1352. std: 0.01
  1353. }
  1354. }
  1355. }
  1356. layer {
  1357. name: "reduction_a_3x3_2_reduce_bn"
  1358. type: "BatchNorm"
  1359. bottom: "reduction_a_3x3_2_reduce"
  1360. top: "reduction_a_3x3_2_reduce"
  1361. batch_norm_param {
  1362. use_global_stats: true
  1363. eps: 0.001
  1364. }
  1365. }
  1366. layer {
  1367. name: "reduction_a_3x3_2_reduce_scale"
  1368. type: "Scale"
  1369. bottom: "reduction_a_3x3_2_reduce"
  1370. top: "reduction_a_3x3_2_reduce"
  1371. scale_param {
  1372. bias_term: true
  1373. }
  1374. }
  1375. layer {
  1376. name: "reduction_a_3x3_2_reduce_relu"
  1377. type: "ReLU"
  1378. bottom: "reduction_a_3x3_2_reduce"
  1379. top: "reduction_a_3x3_2_reduce"
  1380. }
  1381. layer {
  1382. name: "reduction_a_3x3_2"
  1383. type: "Convolution"
  1384. bottom: "reduction_a_3x3_2_reduce"
  1385. top: "reduction_a_3x3_2"
  1386. param {
  1387. lr_mult: 1
  1388. decay_mult: 1
  1389. }
  1390. convolution_param {
  1391. bias_term: false
  1392. num_output: 96
  1393. pad: 1
  1394. kernel_size: 3
  1395. stride: 1
  1396. weight_filler {
  1397. type: "xavier"
  1398. std: 0.01
  1399. }
  1400. }
  1401. }
  1402. layer {
  1403. name: "reduction_a_3x3_2_bn"
  1404. type: "BatchNorm"
  1405. bottom: "reduction_a_3x3_2"
  1406. top: "reduction_a_3x3_2"
  1407. batch_norm_param {
  1408. use_global_stats: true
  1409. eps: 0.001
  1410. }
  1411. }
  1412. layer {
  1413. name: "reduction_a_3x3_2_scale"
  1414. type: "Scale"
  1415. bottom: "reduction_a_3x3_2"
  1416. top: "reduction_a_3x3_2"
  1417. scale_param {
  1418. bias_term: true
  1419. }
  1420. }
  1421. layer {
  1422. name: "reduction_a_3x3_2_relu"
  1423. type: "ReLU"
  1424. bottom: "reduction_a_3x3_2"
  1425. top: "reduction_a_3x3_2"
  1426. }
  1427. layer {
  1428. name: "reduction_a_3x3_3"
  1429. type: "Convolution"
  1430. bottom: "reduction_a_3x3_2"
  1431. top: "reduction_a_3x3_3"
  1432. param {
  1433. lr_mult: 1
  1434. decay_mult: 1
  1435. }
  1436. convolution_param {
  1437. bias_term: false
  1438. num_output: 96
  1439. pad: 0
  1440. kernel_size: 3
  1441. stride: 2
  1442. weight_filler {
  1443. type: "xavier"
  1444. std: 0.01
  1445. }
  1446. }
  1447. }
  1448. layer {
  1449. name: "reduction_a_3x3_3_bn"
  1450. type: "BatchNorm"
  1451. bottom: "reduction_a_3x3_3"
  1452. top: "reduction_a_3x3_3"
  1453. batch_norm_param {
  1454. use_global_stats: true
  1455. eps: 0.001
  1456. }
  1457. }
  1458. layer {
  1459. name: "reduction_a_3x3_3_scale"
  1460. type: "Scale"
  1461. bottom: "reduction_a_3x3_3"
  1462. top: "reduction_a_3x3_3"
  1463. scale_param {
  1464. bias_term: true
  1465. }
  1466. }
  1467. layer {
  1468. name: "reduction_a_3x3_3_relu"
  1469. type: "ReLU"
  1470. bottom: "reduction_a_3x3_3"
  1471. top: "reduction_a_3x3_3"
  1472. }
  1473. layer {
  1474. name: "reduction_a_pool"
  1475. type: "Pooling"
  1476. bottom: "inception_a3_output"
  1477. top: "reduction_a_pool"
  1478. pooling_param {
  1479. pool: MAX
  1480. kernel_size: 3
  1481. stride: 2
  1482. }
  1483. }
  1484. layer {
  1485. name: "reduction_a_concat"
  1486. type: "Concat"
  1487. bottom: "reduction_a_3x3"
  1488. bottom: "reduction_a_3x3_3"
  1489. bottom: "reduction_a_pool"
  1490. top: "reduction_a_concat"
  1491. }
  1492. layer {
  1493. name: "inception_b1_1x1_2"
  1494. type: "Convolution"
  1495. bottom: "reduction_a_concat"
  1496. top: "inception_b1_1x1_2"
  1497. param {
  1498. lr_mult: 1
  1499. decay_mult: 1
  1500. }
  1501. convolution_param {
  1502. bias_term: false
  1503. num_output: 192
  1504. pad: 0
  1505. kernel_size: 1
  1506. stride: 1
  1507. weight_filler {
  1508. type: "xavier"
  1509. std: 0.01
  1510. }
  1511. }
  1512. }
  1513. layer {
  1514. name: "inception_b1_1x1_2_bn"
  1515. type: "BatchNorm"
  1516. bottom: "inception_b1_1x1_2"
  1517. top: "inception_b1_1x1_2"
  1518. batch_norm_param {
  1519. use_global_stats: true
  1520. eps: 0.001
  1521. }
  1522. }
  1523. layer {
  1524. name: "inception_b1_1x1_2_scale"
  1525. type: "Scale"
  1526. bottom: "inception_b1_1x1_2"
  1527. top: "inception_b1_1x1_2"
  1528. scale_param {
  1529. bias_term: true
  1530. }
  1531. }
  1532. layer {
  1533. name: "inception_b1_1x1_2_relu"
  1534. type: "ReLU"
  1535. bottom: "inception_b1_1x1_2"
  1536. top: "inception_b1_1x1_2"
  1537. }
  1538. layer {
  1539. name: "inception_b1_1x7_reduce"
  1540. type: "Convolution"
  1541. bottom: "reduction_a_concat"
  1542. top: "inception_b1_1x7_reduce"
  1543. param {
  1544. lr_mult: 1
  1545. decay_mult: 1
  1546. }
  1547. convolution_param {
  1548. bias_term: false
  1549. num_output: 128
  1550. pad: 0
  1551. kernel_size: 1
  1552. stride: 1
  1553. weight_filler {
  1554. type: "xavier"
  1555. std: 0.01
  1556. }
  1557. }
  1558. }
  1559. layer {
  1560. name: "inception_b1_1x7_reduce_bn"
  1561. type: "BatchNorm"
  1562. bottom: "inception_b1_1x7_reduce"
  1563. top: "inception_b1_1x7_reduce"
  1564. batch_norm_param {
  1565. use_global_stats: true
  1566. eps: 0.001
  1567. }
  1568. }
  1569. layer {
  1570. name: "inception_b1_1x7_reduce_scale"
  1571. type: "Scale"
  1572. bottom: "inception_b1_1x7_reduce"
  1573. top: "inception_b1_1x7_reduce"
  1574. scale_param {
  1575. bias_term: true
  1576. }
  1577. }
  1578. layer {
  1579. name: "inception_b1_1x7_reduce_relu"
  1580. type: "ReLU"
  1581. bottom: "inception_b1_1x7_reduce"
  1582. top: "inception_b1_1x7_reduce"
  1583. }
  1584. layer {
  1585. name: "inception_b1_1x7"
  1586. type: "Convolution"
  1587. bottom: "inception_b1_1x7_reduce"
  1588. top: "inception_b1_1x7"
  1589. param {
  1590. lr_mult: 1
  1591. decay_mult: 1
  1592. }
  1593. convolution_param {
  1594. bias_term: false
  1595. num_output: 128
  1596. stride: 1
  1597. weight_filler {
  1598. type: "xavier"
  1599. std: 0.01
  1600. }
  1601. pad_h: 0
  1602. pad_w: 3
  1603. kernel_h: 1
  1604. kernel_w: 7
  1605. }
  1606. }
  1607. layer {
  1608. name: "inception_b1_1x7_bn"
  1609. type: "BatchNorm"
  1610. bottom: "inception_b1_1x7"
  1611. top: "inception_b1_1x7"
  1612. batch_norm_param {
  1613. use_global_stats: true
  1614. eps: 0.001
  1615. }
  1616. }
  1617. layer {
  1618. name: "inception_b1_1x7_scale"
  1619. type: "Scale"
  1620. bottom: "inception_b1_1x7"
  1621. top: "inception_b1_1x7"
  1622. scale_param {
  1623. bias_term: true
  1624. }
  1625. }
  1626. layer {
  1627. name: "inception_b1_1x7_relu"
  1628. type: "ReLU"
  1629. bottom: "inception_b1_1x7"
  1630. top: "inception_b1_1x7"
  1631. }
  1632. layer {
  1633. name: "inception_b1_7x1"
  1634. type: "Convolution"
  1635. bottom: "inception_b1_1x7"
  1636. top: "inception_b1_7x1"
  1637. param {
  1638. lr_mult: 1
  1639. decay_mult: 1
  1640. }
  1641. convolution_param {
  1642. bias_term: false
  1643. num_output: 192
  1644. stride: 1
  1645. weight_filler {
  1646. type: "xavier"
  1647. std: 0.01
  1648. }
  1649. pad_h: 3
  1650. pad_w: 0
  1651. kernel_h: 7
  1652. kernel_w: 1
  1653. }
  1654. }
  1655. layer {
  1656. name: "inception_b1_7x1_bn"
  1657. type: "BatchNorm"
  1658. bottom: "inception_b1_7x1"
  1659. top: "inception_b1_7x1"
  1660. batch_norm_param {
  1661. use_global_stats: true
  1662. eps: 0.001
  1663. }
  1664. }
  1665. layer {
  1666. name: "inception_b1_7x1_scale"
  1667. type: "Scale"
  1668. bottom: "inception_b1_7x1"
  1669. top: "inception_b1_7x1"
  1670. scale_param {
  1671. bias_term: true
  1672. }
  1673. }
  1674. layer {
  1675. name: "inception_b1_7x1_relu"
  1676. type: "ReLU"
  1677. bottom: "inception_b1_7x1"
  1678. top: "inception_b1_7x1"
  1679. }
  1680. layer {
  1681. name: "inception_b1_7x1_reduce"
  1682. type: "Convolution"
  1683. bottom: "reduction_a_concat"
  1684. top: "inception_b1_7x1_reduce"
  1685. param {
  1686. lr_mult: 1
  1687. decay_mult: 1
  1688. }
  1689. convolution_param {
  1690. bias_term: false
  1691. num_output: 128
  1692. pad: 0
  1693. kernel_size: 1
  1694. stride: 1
  1695. weight_filler {
  1696. type: "xavier"
  1697. std: 0.01
  1698. }
  1699. }
  1700. }
  1701. layer {
  1702. name: "inception_b1_7x1_reduce_bn"
  1703. type: "BatchNorm"
  1704. bottom: "inception_b1_7x1_reduce"
  1705. top: "inception_b1_7x1_reduce"
  1706. batch_norm_param {
  1707. use_global_stats: true
  1708. eps: 0.001
  1709. }
  1710. }
  1711. layer {
  1712. name: "inception_b1_7x1_reduce_scale"
  1713. type: "Scale"
  1714. bottom: "inception_b1_7x1_reduce"
  1715. top: "inception_b1_7x1_reduce"
  1716. scale_param {
  1717. bias_term: true
  1718. }
  1719. }
  1720. layer {
  1721. name: "inception_b1_7x1_reduce_relu"
  1722. type: "ReLU"
  1723. bottom: "inception_b1_7x1_reduce"
  1724. top: "inception_b1_7x1_reduce"
  1725. }
  1726. layer {
  1727. name: "inception_b1_7x1_2"
  1728. type: "Convolution"
  1729. bottom: "inception_b1_7x1_reduce"
  1730. top: "inception_b1_7x1_2"
  1731. param {
  1732. lr_mult: 1
  1733. decay_mult: 1
  1734. }
  1735. convolution_param {
  1736. bias_term: false
  1737. num_output: 128
  1738. stride: 1
  1739. weight_filler {
  1740. type: "xavier"
  1741. std: 0.01
  1742. }
  1743. pad_h: 3
  1744. pad_w: 0
  1745. kernel_h: 7
  1746. kernel_w: 1
  1747. }
  1748. }
  1749. layer {
  1750. name: "inception_b1_7x1_2_bn"
  1751. type: "BatchNorm"
  1752. bottom: "inception_b1_7x1_2"
  1753. top: "inception_b1_7x1_2"
  1754. batch_norm_param {
  1755. use_global_stats: true
  1756. eps: 0.001
  1757. }
  1758. }
  1759. layer {
  1760. name: "inception_b1_7x1_2_scale"
  1761. type: "Scale"
  1762. bottom: "inception_b1_7x1_2"
  1763. top: "inception_b1_7x1_2"
  1764. scale_param {
  1765. bias_term: true
  1766. }
  1767. }
  1768. layer {
  1769. name: "inception_b1_7x1_2_relu"
  1770. type: "ReLU"
  1771. bottom: "inception_b1_7x1_2"
  1772. top: "inception_b1_7x1_2"
  1773. }
  1774. layer {
  1775. name: "inception_b1_1x7_2"
  1776. type: "Convolution"
  1777. bottom: "inception_b1_7x1_2"
  1778. top: "inception_b1_1x7_2"
  1779. param {
  1780. lr_mult: 1
  1781. decay_mult: 1
  1782. }
  1783. convolution_param {
  1784. bias_term: false
  1785. num_output: 128
  1786. stride: 1
  1787. weight_filler {
  1788. type: "xavier"
  1789. std: 0.01
  1790. }
  1791. pad_h: 0
  1792. pad_w: 3
  1793. kernel_h: 1
  1794. kernel_w: 7
  1795. }
  1796. }
  1797. layer {
  1798. name: "inception_b1_1x7_2_bn"
  1799. type: "BatchNorm"
  1800. bottom: "inception_b1_1x7_2"
  1801. top: "inception_b1_1x7_2"
  1802. batch_norm_param {
  1803. use_global_stats: true
  1804. eps: 0.001
  1805. }
  1806. }
  1807. layer {
  1808. name: "inception_b1_1x7_2_scale"
  1809. type: "Scale"
  1810. bottom: "inception_b1_1x7_2"
  1811. top: "inception_b1_1x7_2"
  1812. scale_param {
  1813. bias_term: true
  1814. }
  1815. }
  1816. layer {
  1817. name: "inception_b1_1x7_2_relu"
  1818. type: "ReLU"
  1819. bottom: "inception_b1_1x7_2"
  1820. top: "inception_b1_1x7_2"
  1821. }
  1822. layer {
  1823. name: "inception_b1_7x1_3"
  1824. type: "Convolution"
  1825. bottom: "inception_b1_1x7_2"
  1826. top: "inception_b1_7x1_3"
  1827. param {
  1828. lr_mult: 1
  1829. decay_mult: 1
  1830. }
  1831. convolution_param {
  1832. bias_term: false
  1833. num_output: 128
  1834. stride: 1
  1835. weight_filler {
  1836. type: "xavier"
  1837. std: 0.01
  1838. }
  1839. pad_h: 3
  1840. pad_w: 0
  1841. kernel_h: 7
  1842. kernel_w: 1
  1843. }
  1844. }
  1845. layer {
  1846. name: "inception_b1_7x1_3_bn"
  1847. type: "BatchNorm"
  1848. bottom: "inception_b1_7x1_3"
  1849. top: "inception_b1_7x1_3"
  1850. batch_norm_param {
  1851. use_global_stats: true
  1852. eps: 0.001
  1853. }
  1854. }
  1855. layer {
  1856. name: "inception_b1_7x1_3_scale"
  1857. type: "Scale"
  1858. bottom: "inception_b1_7x1_3"
  1859. top: "inception_b1_7x1_3"
  1860. scale_param {
  1861. bias_term: true
  1862. }
  1863. }
  1864. layer {
  1865. name: "inception_b1_7x1_3_relu"
  1866. type: "ReLU"
  1867. bottom: "inception_b1_7x1_3"
  1868. top: "inception_b1_7x1_3"
  1869. }
  1870. layer {
  1871. name: "inception_b1_1x7_3"
  1872. type: "Convolution"
  1873. bottom: "inception_b1_7x1_3"
  1874. top: "inception_b1_1x7_3"
  1875. param {
  1876. lr_mult: 1
  1877. decay_mult: 1
  1878. }
  1879. convolution_param {
  1880. bias_term: false
  1881. num_output: 192
  1882. stride: 1
  1883. weight_filler {
  1884. type: "xavier"
  1885. std: 0.01
  1886. }
  1887. pad_h: 0
  1888. pad_w: 3
  1889. kernel_h: 1
  1890. kernel_w: 7
  1891. }
  1892. }
  1893. layer {
  1894. name: "inception_b1_1x7_3_bn"
  1895. type: "BatchNorm"
  1896. bottom: "inception_b1_1x7_3"
  1897. top: "inception_b1_1x7_3"
  1898. batch_norm_param {
  1899. use_global_stats: true
  1900. eps: 0.001
  1901. }
  1902. }
  1903. layer {
  1904. name: "inception_b1_1x7_3_scale"
  1905. type: "Scale"
  1906. bottom: "inception_b1_1x7_3"
  1907. top: "inception_b1_1x7_3"
  1908. scale_param {
  1909. bias_term: true
  1910. }
  1911. }
  1912. layer {
  1913. name: "inception_b1_1x7_3_relu"
  1914. type: "ReLU"
  1915. bottom: "inception_b1_1x7_3"
  1916. top: "inception_b1_1x7_3"
  1917. }
  1918. layer {
  1919. name: "inception_b1_pool_ave"
  1920. type: "Pooling"
  1921. bottom: "reduction_a_concat"
  1922. top: "inception_b1_pool_ave"
  1923. pooling_param {
  1924. pool: AVE
  1925. kernel_size: 3
  1926. stride: 1
  1927. pad: 1
  1928. }
  1929. }
  1930. layer {
  1931. name: "inception_b1_1x1"
  1932. type: "Convolution"
  1933. bottom: "inception_b1_pool_ave"
  1934. top: "inception_b1_1x1"
  1935. param {
  1936. lr_mult: 1
  1937. decay_mult: 1
  1938. }
  1939. convolution_param {
  1940. bias_term: false
  1941. num_output: 192
  1942. pad: 0
  1943. kernel_size: 1
  1944. stride: 1
  1945. weight_filler {
  1946. type: "xavier"
  1947. std: 0.01
  1948. }
  1949. }
  1950. }
  1951. layer {
  1952. name: "inception_b1_1x1_bn"
  1953. type: "BatchNorm"
  1954. bottom: "inception_b1_1x1"
  1955. top: "inception_b1_1x1"
  1956. batch_norm_param {
  1957. use_global_stats: true
  1958. eps: 0.001
  1959. }
  1960. }
  1961. layer {
  1962. name: "inception_b1_1x1_scale"
  1963. type: "Scale"
  1964. bottom: "inception_b1_1x1"
  1965. top: "inception_b1_1x1"
  1966. scale_param {
  1967. bias_term: true
  1968. }
  1969. }
  1970. layer {
  1971. name: "inception_b1_1x1_relu"
  1972. type: "ReLU"
  1973. bottom: "inception_b1_1x1"
  1974. top: "inception_b1_1x1"
  1975. }
  1976. layer {
  1977. name: "inception_b1_concat"
  1978. type: "Concat"
  1979. bottom: "inception_b1_1x1_2"
  1980. bottom: "inception_b1_7x1"
  1981. bottom: "inception_b1_1x7_3"
  1982. bottom: "inception_b1_1x1"
  1983. top: "inception_b1_concat"
  1984. }
  1985. layer {
  1986. name: "inception_b2_1x1_2"
  1987. type: "Convolution"
  1988. bottom: "inception_b1_concat"
  1989. top: "inception_b2_1x1_2"
  1990. param {
  1991. lr_mult: 1
  1992. decay_mult: 1
  1993. }
  1994. convolution_param {
  1995. bias_term: false
  1996. num_output: 192
  1997. pad: 0
  1998. kernel_size: 1
  1999. stride: 1
  2000. weight_filler {
  2001. type: "xavier"
  2002. std: 0.01
  2003. }
  2004. }
  2005. }
  2006. layer {
  2007. name: "inception_b2_1x1_2_bn"
  2008. type: "BatchNorm"
  2009. bottom: "inception_b2_1x1_2"
  2010. top: "inception_b2_1x1_2"
  2011. batch_norm_param {
  2012. use_global_stats: true
  2013. eps: 0.001
  2014. }
  2015. }
  2016. layer {
  2017. name: "inception_b2_1x1_2_scale"
  2018. type: "Scale"
  2019. bottom: "inception_b2_1x1_2"
  2020. top: "inception_b2_1x1_2"
  2021. scale_param {
  2022. bias_term: true
  2023. }
  2024. }
  2025. layer {
  2026. name: "inception_b2_1x1_2_relu"
  2027. type: "ReLU"
  2028. bottom: "inception_b2_1x1_2"
  2029. top: "inception_b2_1x1_2"
  2030. }
  2031. layer {
  2032. name: "inception_b2_1x7_reduce"
  2033. type: "Convolution"
  2034. bottom: "inception_b1_concat"
  2035. top: "inception_b2_1x7_reduce"
  2036. param {
  2037. lr_mult: 1
  2038. decay_mult: 1
  2039. }
  2040. convolution_param {
  2041. bias_term: false
  2042. num_output: 160
  2043. pad: 0
  2044. kernel_size: 1
  2045. stride: 1
  2046. weight_filler {
  2047. type: "xavier"
  2048. std: 0.01
  2049. }
  2050. }
  2051. }
  2052. layer {
  2053. name: "inception_b2_1x7_reduce_bn"
  2054. type: "BatchNorm"
  2055. bottom: "inception_b2_1x7_reduce"
  2056. top: "inception_b2_1x7_reduce"
  2057. batch_norm_param {
  2058. use_global_stats: true
  2059. eps: 0.001
  2060. }
  2061. }
  2062. layer {
  2063. name: "inception_b2_1x7_reduce_scale"
  2064. type: "Scale"
  2065. bottom: "inception_b2_1x7_reduce"
  2066. top: "inception_b2_1x7_reduce"
  2067. scale_param {
  2068. bias_term: true
  2069. }
  2070. }
  2071. layer {
  2072. name: "inception_b2_1x7_reduce_relu"
  2073. type: "ReLU"
  2074. bottom: "inception_b2_1x7_reduce"
  2075. top: "inception_b2_1x7_reduce"
  2076. }
  2077. layer {
  2078. name: "inception_b2_1x7"
  2079. type: "Convolution"
  2080. bottom: "inception_b2_1x7_reduce"
  2081. top: "inception_b2_1x7"
  2082. param {
  2083. lr_mult: 1
  2084. decay_mult: 1
  2085. }
  2086. convolution_param {
  2087. bias_term: false
  2088. num_output: 160
  2089. stride: 1
  2090. weight_filler {
  2091. type: "xavier"
  2092. std: 0.01
  2093. }
  2094. pad_h: 0
  2095. pad_w: 3
  2096. kernel_h: 1
  2097. kernel_w: 7
  2098. }
  2099. }
  2100. layer {
  2101. name: "inception_b2_1x7_bn"
  2102. type: "BatchNorm"
  2103. bottom: "inception_b2_1x7"
  2104. top: "inception_b2_1x7"
  2105. batch_norm_param {
  2106. use_global_stats: true
  2107. eps: 0.001
  2108. }
  2109. }
  2110. layer {
  2111. name: "inception_b2_1x7_scale"
  2112. type: "Scale"
  2113. bottom: "inception_b2_1x7"
  2114. top: "inception_b2_1x7"
  2115. scale_param {
  2116. bias_term: true
  2117. }
  2118. }
  2119. layer {
  2120. name: "inception_b2_1x7_relu"
  2121. type: "ReLU"
  2122. bottom: "inception_b2_1x7"
  2123. top: "inception_b2_1x7"
  2124. }
  2125. layer {
  2126. name: "inception_b2_7x1"
  2127. type: "Convolution"
  2128. bottom: "inception_b2_1x7"
  2129. top: "inception_b2_7x1"
  2130. param {
  2131. lr_mult: 1
  2132. decay_mult: 1
  2133. }
  2134. convolution_param {
  2135. bias_term: false
  2136. num_output: 192
  2137. stride: 1
  2138. weight_filler {
  2139. type: "xavier"
  2140. std: 0.01
  2141. }
  2142. pad_h: 3
  2143. pad_w: 0
  2144. kernel_h: 7
  2145. kernel_w: 1
  2146. }
  2147. }
  2148. layer {
  2149. name: "inception_b2_7x1_bn"
  2150. type: "BatchNorm"
  2151. bottom: "inception_b2_7x1"
  2152. top: "inception_b2_7x1"
  2153. batch_norm_param {
  2154. use_global_stats: true
  2155. eps: 0.001
  2156. }
  2157. }
  2158. layer {
  2159. name: "inception_b2_7x1_scale"
  2160. type: "Scale"
  2161. bottom: "inception_b2_7x1"
  2162. top: "inception_b2_7x1"
  2163. scale_param {
  2164. bias_term: true
  2165. }
  2166. }
  2167. layer {
  2168. name: "inception_b2_7x1_relu"
  2169. type: "ReLU"
  2170. bottom: "inception_b2_7x1"
  2171. top: "inception_b2_7x1"
  2172. }
  2173. layer {
  2174. name: "inception_b2_7x1_reduce"
  2175. type: "Convolution"
  2176. bottom: "inception_b1_concat"
  2177. top: "inception_b2_7x1_reduce"
  2178. param {
  2179. lr_mult: 1
  2180. decay_mult: 1
  2181. }
  2182. convolution_param {
  2183. bias_term: false
  2184. num_output: 160
  2185. pad: 0
  2186. kernel_size: 1
  2187. stride: 1
  2188. weight_filler {
  2189. type: "xavier"
  2190. std: 0.01
  2191. }
  2192. }
  2193. }
  2194. layer {
  2195. name: "inception_b2_7x1_reduce_bn"
  2196. type: "BatchNorm"
  2197. bottom: "inception_b2_7x1_reduce"
  2198. top: "inception_b2_7x1_reduce"
  2199. batch_norm_param {
  2200. use_global_stats: true
  2201. eps: 0.001
  2202. }
  2203. }
  2204. layer {
  2205. name: "inception_b2_7x1_reduce_scale"
  2206. type: "Scale"
  2207. bottom: "inception_b2_7x1_reduce"
  2208. top: "inception_b2_7x1_reduce"
  2209. scale_param {
  2210. bias_term: true
  2211. }
  2212. }
  2213. layer {
  2214. name: "inception_b2_7x1_reduce_relu"
  2215. type: "ReLU"
  2216. bottom: "inception_b2_7x1_reduce"
  2217. top: "inception_b2_7x1_reduce"
  2218. }
  2219. layer {
  2220. name: "inception_b2_7x1_2"
  2221. type: "Convolution"
  2222. bottom: "inception_b2_7x1_reduce"
  2223. top: "inception_b2_7x1_2"
  2224. param {
  2225. lr_mult: 1
  2226. decay_mult: 1
  2227. }
  2228. convolution_param {
  2229. bias_term: false
  2230. num_output: 160
  2231. stride: 1
  2232. weight_filler {
  2233. type: "xavier"
  2234. std: 0.01
  2235. }
  2236. pad_h: 3
  2237. pad_w: 0
  2238. kernel_h: 7
  2239. kernel_w: 1
  2240. }
  2241. }
  2242. layer {
  2243. name: "inception_b2_7x1_2_bn"
  2244. type: "BatchNorm"
  2245. bottom: "inception_b2_7x1_2"
  2246. top: "inception_b2_7x1_2"
  2247. batch_norm_param {
  2248. use_global_stats: true
  2249. eps: 0.001
  2250. }
  2251. }
  2252. layer {
  2253. name: "inception_b2_7x1_2_scale"
  2254. type: "Scale"
  2255. bottom: "inception_b2_7x1_2"
  2256. top: "inception_b2_7x1_2"
  2257. scale_param {
  2258. bias_term: true
  2259. }
  2260. }
  2261. layer {
  2262. name: "inception_b2_7x1_2_relu"
  2263. type: "ReLU"
  2264. bottom: "inception_b2_7x1_2"
  2265. top: "inception_b2_7x1_2"
  2266. }
  2267. layer {
  2268. name: "inception_b2_1x7_2"
  2269. type: "Convolution"
  2270. bottom: "inception_b2_7x1_2"
  2271. top: "inception_b2_1x7_2"
  2272. param {
  2273. lr_mult: 1
  2274. decay_mult: 1
  2275. }
  2276. convolution_param {
  2277. bias_term: false
  2278. num_output: 160
  2279. stride: 1
  2280. weight_filler {
  2281. type: "xavier"
  2282. std: 0.01
  2283. }
  2284. pad_h: 0
  2285. pad_w: 3
  2286. kernel_h: 1
  2287. kernel_w: 7
  2288. }
  2289. }
  2290. layer {
  2291. name: "inception_b2_1x7_2_bn"
  2292. type: "BatchNorm"
  2293. bottom: "inception_b2_1x7_2"
  2294. top: "inception_b2_1x7_2"
  2295. batch_norm_param {
  2296. use_global_stats: true
  2297. eps: 0.001
  2298. }
  2299. }
  2300. layer {
  2301. name: "inception_b2_1x7_2_scale"
  2302. type: "Scale"
  2303. bottom: "inception_b2_1x7_2"
  2304. top: "inception_b2_1x7_2"
  2305. scale_param {
  2306. bias_term: true
  2307. }
  2308. }
  2309. layer {
  2310. name: "inception_b2_1x7_2_relu"
  2311. type: "ReLU"
  2312. bottom: "inception_b2_1x7_2"
  2313. top: "inception_b2_1x7_2"
  2314. }
  2315. layer {
  2316. name: "inception_b2_7x1_3"
  2317. type: "Convolution"
  2318. bottom: "inception_b2_1x7_2"
  2319. top: "inception_b2_7x1_3"
  2320. param {
  2321. lr_mult: 1
  2322. decay_mult: 1
  2323. }
  2324. convolution_param {
  2325. bias_term: false
  2326. num_output: 160
  2327. stride: 1
  2328. weight_filler {
  2329. type: "xavier"
  2330. std: 0.01
  2331. }
  2332. pad_h: 3
  2333. pad_w: 0
  2334. kernel_h: 7
  2335. kernel_w: 1
  2336. }
  2337. }
  2338. layer {
  2339. name: "inception_b2_7x1_3_bn"
  2340. type: "BatchNorm"
  2341. bottom: "inception_b2_7x1_3"
  2342. top: "inception_b2_7x1_3"
  2343. batch_norm_param {
  2344. use_global_stats: true
  2345. eps: 0.001
  2346. }
  2347. }
  2348. layer {
  2349. name: "inception_b2_7x1_3_scale"
  2350. type: "Scale"
  2351. bottom: "inception_b2_7x1_3"
  2352. top: "inception_b2_7x1_3"
  2353. scale_param {
  2354. bias_term: true
  2355. }
  2356. }
  2357. layer {
  2358. name: "inception_b2_7x1_3_relu"
  2359. type: "ReLU"
  2360. bottom: "inception_b2_7x1_3"
  2361. top: "inception_b2_7x1_3"
  2362. }
  2363. layer {
  2364. name: "inception_b2_1x7_3"
  2365. type: "Convolution"
  2366. bottom: "inception_b2_7x1_3"
  2367. top: "inception_b2_1x7_3"
  2368. param {
  2369. lr_mult: 1
  2370. decay_mult: 1
  2371. }
  2372. convolution_param {
  2373. bias_term: false
  2374. num_output: 192
  2375. stride: 1
  2376. weight_filler {
  2377. type: "xavier"
  2378. std: 0.01
  2379. }
  2380. pad_h: 0
  2381. pad_w: 3
  2382. kernel_h: 1
  2383. kernel_w: 7
  2384. }
  2385. }
  2386. layer {
  2387. name: "inception_b2_1x7_3_bn"
  2388. type: "BatchNorm"
  2389. bottom: "inception_b2_1x7_3"
  2390. top: "inception_b2_1x7_3"
  2391. batch_norm_param {
  2392. use_global_stats: true
  2393. eps: 0.001
  2394. }
  2395. }
  2396. layer {
  2397. name: "inception_b2_1x7_3_scale"
  2398. type: "Scale"
  2399. bottom: "inception_b2_1x7_3"
  2400. top: "inception_b2_1x7_3"
  2401. scale_param {
  2402. bias_term: true
  2403. }
  2404. }
  2405. layer {
  2406. name: "inception_b2_1x7_3_relu"
  2407. type: "ReLU"
  2408. bottom: "inception_b2_1x7_3"
  2409. top: "inception_b2_1x7_3"
  2410. }
  2411. layer {
  2412. name: "inception_b2_pool_ave"
  2413. type: "Pooling"
  2414. bottom: "inception_b1_concat"
  2415. top: "inception_b2_pool_ave"
  2416. pooling_param {
  2417. pool: AVE
  2418. kernel_size: 3
  2419. stride: 1
  2420. pad: 1
  2421. }
  2422. }
  2423. layer {
  2424. name: "inception_b2_1x1"
  2425. type: "Convolution"
  2426. bottom: "inception_b2_pool_ave"
  2427. top: "inception_b2_1x1"
  2428. param {
  2429. lr_mult: 1
  2430. decay_mult: 1
  2431. }
  2432. convolution_param {
  2433. bias_term: false
  2434. num_output: 192
  2435. pad: 0
  2436. kernel_size: 1
  2437. stride: 1
  2438. weight_filler {
  2439. type: "xavier"
  2440. std: 0.01
  2441. }
  2442. }
  2443. }
  2444. layer {
  2445. name: "inception_b2_1x1_bn"
  2446. type: "BatchNorm"
  2447. bottom: "inception_b2_1x1"
  2448. top: "inception_b2_1x1"
  2449. batch_norm_param {
  2450. use_global_stats: true
  2451. eps: 0.001
  2452. }
  2453. }
  2454. layer {
  2455. name: "inception_b2_1x1_scale"
  2456. type: "Scale"
  2457. bottom: "inception_b2_1x1"
  2458. top: "inception_b2_1x1"
  2459. scale_param {
  2460. bias_term: true
  2461. }
  2462. }
  2463. layer {
  2464. name: "inception_b2_1x1_relu"
  2465. type: "ReLU"
  2466. bottom: "inception_b2_1x1"
  2467. top: "inception_b2_1x1"
  2468. }
  2469. layer {
  2470. name: "inception_b2_concat"
  2471. type: "Concat"
  2472. bottom: "inception_b2_1x1_2"
  2473. bottom: "inception_b2_7x1"
  2474. bottom: "inception_b2_1x7_3"
  2475. bottom: "inception_b2_1x1"
  2476. top: "inception_b2_concat"
  2477. }
  2478. layer {
  2479. name: "inception_b3_1x1_2"
  2480. type: "Convolution"
  2481. bottom: "inception_b2_concat"
  2482. top: "inception_b3_1x1_2"
  2483. param {
  2484. lr_mult: 1
  2485. decay_mult: 1
  2486. }
  2487. convolution_param {
  2488. bias_term: false
  2489. num_output: 192
  2490. pad: 0
  2491. kernel_size: 1
  2492. stride: 1
  2493. weight_filler {
  2494. type: "xavier"
  2495. std: 0.01
  2496. }
  2497. }
  2498. }
  2499. layer {
  2500. name: "inception_b3_1x1_2_bn"
  2501. type: "BatchNorm"
  2502. bottom: "inception_b3_1x1_2"
  2503. top: "inception_b3_1x1_2"
  2504. batch_norm_param {
  2505. use_global_stats: true
  2506. eps: 0.001
  2507. }
  2508. }
  2509. layer {
  2510. name: "inception_b3_1x1_2_scale"
  2511. type: "Scale"
  2512. bottom: "inception_b3_1x1_2"
  2513. top: "inception_b3_1x1_2"
  2514. scale_param {
  2515. bias_term: true
  2516. }
  2517. }
  2518. layer {
  2519. name: "inception_b3_1x1_2_relu"
  2520. type: "ReLU"
  2521. bottom: "inception_b3_1x1_2"
  2522. top: "inception_b3_1x1_2"
  2523. }
  2524. layer {
  2525. name: "inception_b3_1x7_reduce"
  2526. type: "Convolution"
  2527. bottom: "inception_b2_concat"
  2528. top: "inception_b3_1x7_reduce"
  2529. param {
  2530. lr_mult: 1
  2531. decay_mult: 1
  2532. }
  2533. convolution_param {
  2534. bias_term: false
  2535. num_output: 160
  2536. pad: 0
  2537. kernel_size: 1
  2538. stride: 1
  2539. weight_filler {
  2540. type: "xavier"
  2541. std: 0.01
  2542. }
  2543. }
  2544. }
  2545. layer {
  2546. name: "inception_b3_1x7_reduce_bn"
  2547. type: "BatchNorm"
  2548. bottom: "inception_b3_1x7_reduce"
  2549. top: "inception_b3_1x7_reduce"
  2550. batch_norm_param {
  2551. use_global_stats: true
  2552. eps: 0.001
  2553. }
  2554. }
  2555. layer {
  2556. name: "inception_b3_1x7_reduce_scale"
  2557. type: "Scale"
  2558. bottom: "inception_b3_1x7_reduce"
  2559. top: "inception_b3_1x7_reduce"
  2560. scale_param {
  2561. bias_term: true
  2562. }
  2563. }
  2564. layer {
  2565. name: "inception_b3_1x7_reduce_relu"
  2566. type: "ReLU"
  2567. bottom: "inception_b3_1x7_reduce"
  2568. top: "inception_b3_1x7_reduce"
  2569. }
  2570. layer {
  2571. name: "inception_b3_1x7"
  2572. type: "Convolution"
  2573. bottom: "inception_b3_1x7_reduce"
  2574. top: "inception_b3_1x7"
  2575. param {
  2576. lr_mult: 1
  2577. decay_mult: 1
  2578. }
  2579. convolution_param {
  2580. bias_term: false
  2581. num_output: 160
  2582. stride: 1
  2583. weight_filler {
  2584. type: "xavier"
  2585. std: 0.01
  2586. }
  2587. pad_h: 0
  2588. pad_w: 3
  2589. kernel_h: 1
  2590. kernel_w: 7
  2591. }
  2592. }
  2593. layer {
  2594. name: "inception_b3_1x7_bn"
  2595. type: "BatchNorm"
  2596. bottom: "inception_b3_1x7"
  2597. top: "inception_b3_1x7"
  2598. batch_norm_param {
  2599. use_global_stats: true
  2600. eps: 0.001
  2601. }
  2602. }
  2603. layer {
  2604. name: "inception_b3_1x7_scale"
  2605. type: "Scale"
  2606. bottom: "inception_b3_1x7"
  2607. top: "inception_b3_1x7"
  2608. scale_param {
  2609. bias_term: true
  2610. }
  2611. }
  2612. layer {
  2613. name: "inception_b3_1x7_relu"
  2614. type: "ReLU"
  2615. bottom: "inception_b3_1x7"
  2616. top: "inception_b3_1x7"
  2617. }
  2618. layer {
  2619. name: "inception_b3_7x1"
  2620. type: "Convolution"
  2621. bottom: "inception_b3_1x7"
  2622. top: "inception_b3_7x1"
  2623. param {
  2624. lr_mult: 1
  2625. decay_mult: 1
  2626. }
  2627. convolution_param {
  2628. bias_term: false
  2629. num_output: 192
  2630. stride: 1
  2631. weight_filler {
  2632. type: "xavier"
  2633. std: 0.01
  2634. }
  2635. pad_h: 3
  2636. pad_w: 0
  2637. kernel_h: 7
  2638. kernel_w: 1
  2639. }
  2640. }
  2641. layer {
  2642. name: "inception_b3_7x1_bn"
  2643. type: "BatchNorm"
  2644. bottom: "inception_b3_7x1"
  2645. top: "inception_b3_7x1"
  2646. batch_norm_param {
  2647. use_global_stats: true
  2648. eps: 0.001
  2649. }
  2650. }
  2651. layer {
  2652. name: "inception_b3_7x1_scale"
  2653. type: "Scale"
  2654. bottom: "inception_b3_7x1"
  2655. top: "inception_b3_7x1"
  2656. scale_param {
  2657. bias_term: true
  2658. }
  2659. }
  2660. layer {
  2661. name: "inception_b3_7x1_relu"
  2662. type: "ReLU"
  2663. bottom: "inception_b3_7x1"
  2664. top: "inception_b3_7x1"
  2665. }
  2666. layer {
  2667. name: "inception_b3_7x1_reduce"
  2668. type: "Convolution"
  2669. bottom: "inception_b2_concat"
  2670. top: "inception_b3_7x1_reduce"
  2671. param {
  2672. lr_mult: 1
  2673. decay_mult: 1
  2674. }
  2675. convolution_param {
  2676. bias_term: false
  2677. num_output: 160
  2678. pad: 0
  2679. kernel_size: 1
  2680. stride: 1
  2681. weight_filler {
  2682. type: "xavier"
  2683. std: 0.01
  2684. }
  2685. }
  2686. }
  2687. layer {
  2688. name: "inception_b3_7x1_reduce_bn"
  2689. type: "BatchNorm"
  2690. bottom: "inception_b3_7x1_reduce"
  2691. top: "inception_b3_7x1_reduce"
  2692. batch_norm_param {
  2693. use_global_stats: true
  2694. eps: 0.001
  2695. }
  2696. }
  2697. layer {
  2698. name: "inception_b3_7x1_reduce_scale"
  2699. type: "Scale"
  2700. bottom: "inception_b3_7x1_reduce"
  2701. top: "inception_b3_7x1_reduce"
  2702. scale_param {
  2703. bias_term: true
  2704. }
  2705. }
  2706. layer {
  2707. name: "inception_b3_7x1_reduce_relu"
  2708. type: "ReLU"
  2709. bottom: "inception_b3_7x1_reduce"
  2710. top: "inception_b3_7x1_reduce"
  2711. }
  2712. layer {
  2713. name: "inception_b3_7x1_2"
  2714. type: "Convolution"
  2715. bottom: "inception_b3_7x1_reduce"
  2716. top: "inception_b3_7x1_2"
  2717. param {
  2718. lr_mult: 1
  2719. decay_mult: 1
  2720. }
  2721. convolution_param {
  2722. bias_term: false
  2723. num_output: 160
  2724. stride: 1
  2725. weight_filler {
  2726. type: "xavier"
  2727. std: 0.01
  2728. }
  2729. pad_h: 3
  2730. pad_w: 0
  2731. kernel_h: 7
  2732. kernel_w: 1
  2733. }
  2734. }
  2735. layer {
  2736. name: "inception_b3_7x1_2_bn"
  2737. type: "BatchNorm"
  2738. bottom: "inception_b3_7x1_2"
  2739. top: "inception_b3_7x1_2"
  2740. batch_norm_param {
  2741. use_global_stats: true
  2742. eps: 0.001
  2743. }
  2744. }
  2745. layer {
  2746. name: "inception_b3_7x1_2_scale"
  2747. type: "Scale"
  2748. bottom: "inception_b3_7x1_2"
  2749. top: "inception_b3_7x1_2"
  2750. scale_param {
  2751. bias_term: true
  2752. }
  2753. }
  2754. layer {
  2755. name: "inception_b3_7x1_2_relu"
  2756. type: "ReLU"
  2757. bottom: "inception_b3_7x1_2"
  2758. top: "inception_b3_7x1_2"
  2759. }
  2760. layer {
  2761. name: "inception_b3_1x7_2"
  2762. type: "Convolution"
  2763. bottom: "inception_b3_7x1_2"
  2764. top: "inception_b3_1x7_2"
  2765. param {
  2766. lr_mult: 1
  2767. decay_mult: 1
  2768. }
  2769. convolution_param {
  2770. bias_term: false
  2771. num_output: 160
  2772. stride: 1
  2773. weight_filler {
  2774. type: "xavier"
  2775. std: 0.01
  2776. }
  2777. pad_h: 0
  2778. pad_w: 3
  2779. kernel_h: 1
  2780. kernel_w: 7
  2781. }
  2782. }
  2783. layer {
  2784. name: "inception_b3_1x7_2_bn"
  2785. type: "BatchNorm"
  2786. bottom: "inception_b3_1x7_2"
  2787. top: "inception_b3_1x7_2"
  2788. batch_norm_param {
  2789. use_global_stats: true
  2790. eps: 0.001
  2791. }
  2792. }
  2793. layer {
  2794. name: "inception_b3_1x7_2_scale"
  2795. type: "Scale"
  2796. bottom: "inception_b3_1x7_2"
  2797. top: "inception_b3_1x7_2"
  2798. scale_param {
  2799. bias_term: true
  2800. }
  2801. }
  2802. layer {
  2803. name: "inception_b3_1x7_2_relu"
  2804. type: "ReLU"
  2805. bottom: "inception_b3_1x7_2"
  2806. top: "inception_b3_1x7_2"
  2807. }
  2808. layer {
  2809. name: "inception_b3_7x1_3"
  2810. type: "Convolution"
  2811. bottom: "inception_b3_1x7_2"
  2812. top: "inception_b3_7x1_3"
  2813. param {
  2814. lr_mult: 1
  2815. decay_mult: 1
  2816. }
  2817. convolution_param {
  2818. bias_term: false
  2819. num_output: 160
  2820. stride: 1
  2821. weight_filler {
  2822. type: "xavier"
  2823. std: 0.01
  2824. }
  2825. pad_h: 3
  2826. pad_w: 0
  2827. kernel_h: 7
  2828. kernel_w: 1
  2829. }
  2830. }
  2831. layer {
  2832. name: "inception_b3_7x1_3_bn"
  2833. type: "BatchNorm"
  2834. bottom: "inception_b3_7x1_3"
  2835. top: "inception_b3_7x1_3"
  2836. batch_norm_param {
  2837. use_global_stats: true
  2838. eps: 0.001
  2839. }
  2840. }
  2841. layer {
  2842. name: "inception_b3_7x1_3_scale"
  2843. type: "Scale"
  2844. bottom: "inception_b3_7x1_3"
  2845. top: "inception_b3_7x1_3"
  2846. scale_param {
  2847. bias_term: true
  2848. }
  2849. }
  2850. layer {
  2851. name: "inception_b3_7x1_3_relu"
  2852. type: "ReLU"
  2853. bottom: "inception_b3_7x1_3"
  2854. top: "inception_b3_7x1_3"
  2855. }
  2856. layer {
  2857. name: "inception_b3_1x7_3"
  2858. type: "Convolution"
  2859. bottom: "inception_b3_7x1_3"
  2860. top: "inception_b3_1x7_3"
  2861. param {
  2862. lr_mult: 1
  2863. decay_mult: 1
  2864. }
  2865. convolution_param {
  2866. bias_term: false
  2867. num_output: 192
  2868. stride: 1
  2869. weight_filler {
  2870. type: "xavier"
  2871. std: 0.01
  2872. }
  2873. pad_h: 0
  2874. pad_w: 3
  2875. kernel_h: 1
  2876. kernel_w: 7
  2877. }
  2878. }
  2879. layer {
  2880. name: "inception_b3_1x7_3_bn"
  2881. type: "BatchNorm"
  2882. bottom: "inception_b3_1x7_3"
  2883. top: "inception_b3_1x7_3"
  2884. batch_norm_param {
  2885. use_global_stats: true
  2886. eps: 0.001
  2887. }
  2888. }
  2889. layer {
  2890. name: "inception_b3_1x7_3_scale"
  2891. type: "Scale"
  2892. bottom: "inception_b3_1x7_3"
  2893. top: "inception_b3_1x7_3"
  2894. scale_param {
  2895. bias_term: true
  2896. }
  2897. }
  2898. layer {
  2899. name: "inception_b3_1x7_3_relu"
  2900. type: "ReLU"
  2901. bottom: "inception_b3_1x7_3"
  2902. top: "inception_b3_1x7_3"
  2903. }
  2904. layer {
  2905. name: "inception_b3_pool_ave"
  2906. type: "Pooling"
  2907. bottom: "inception_b2_concat"
  2908. top: "inception_b3_pool_ave"
  2909. pooling_param {
  2910. pool: AVE
  2911. kernel_size: 3
  2912. stride: 1
  2913. pad: 1
  2914. }
  2915. }
  2916. layer {
  2917. name: "inception_b3_1x1"
  2918. type: "Convolution"
  2919. bottom: "inception_b3_pool_ave"
  2920. top: "inception_b3_1x1"
  2921. param {
  2922. lr_mult: 1
  2923. decay_mult: 1
  2924. }
  2925. convolution_param {
  2926. bias_term: false
  2927. num_output: 192
  2928. pad: 0
  2929. kernel_size: 1
  2930. stride: 1
  2931. weight_filler {
  2932. type: "xavier"
  2933. std: 0.01
  2934. }
  2935. bias_filler {
  2936. type: "constant"
  2937. value: 0
  2938. }
  2939. }
  2940. }
  2941. layer {
  2942. name: "inception_b3_1x1_bn"
  2943. type: "BatchNorm"
  2944. bottom: "inception_b3_1x1"
  2945. top: "inception_b3_1x1"
  2946. batch_norm_param {
  2947. use_global_stats: true
  2948. eps: 0.001
  2949. }
  2950. }
  2951. layer {
  2952. name: "inception_b3_1x1_scale"
  2953. type: "Scale"
  2954. bottom: "inception_b3_1x1"
  2955. top: "inception_b3_1x1"
  2956. scale_param {
  2957. bias_term: true
  2958. }
  2959. }
  2960. layer {
  2961. name: "inception_b3_1x1_relu"
  2962. type: "ReLU"
  2963. bottom: "inception_b3_1x1"
  2964. top: "inception_b3_1x1"
  2965. }
  2966. layer {
  2967. name: "inception_b3_concat"
  2968. type: "Concat"
  2969. bottom: "inception_b3_1x1_2"
  2970. bottom: "inception_b3_7x1"
  2971. bottom: "inception_b3_1x7_3"
  2972. bottom: "inception_b3_1x1"
  2973. top: "inception_b3_concat"
  2974. }
  2975. layer {
  2976. name: "inception_b4_1x1_2"
  2977. type: "Convolution"
  2978. bottom: "inception_b3_concat"
  2979. top: "inception_b4_1x1_2"
  2980. param {
  2981. lr_mult: 1
  2982. decay_mult: 1
  2983. }
  2984. convolution_param {
  2985. bias_term: false
  2986. num_output: 192
  2987. pad: 0
  2988. kernel_size: 1
  2989. stride: 1
  2990. weight_filler {
  2991. type: "xavier"
  2992. std: 0.01
  2993. }
  2994. }
  2995. }
  2996. layer {
  2997. name: "inception_b4_1x1_2_bn"
  2998. type: "BatchNorm"
  2999. bottom: "inception_b4_1x1_2"
  3000. top: "inception_b4_1x1_2"
  3001. batch_norm_param {
  3002. use_global_stats: true
  3003. eps: 0.001
  3004. }
  3005. }
  3006. layer {
  3007. name: "inception_b4_1x1_2_scale"
  3008. type: "Scale"
  3009. bottom: "inception_b4_1x1_2"
  3010. top: "inception_b4_1x1_2"
  3011. scale_param {
  3012. bias_term: true
  3013. }
  3014. }
  3015. layer {
  3016. name: "inception_b4_1x1_2_relu"
  3017. type: "ReLU"
  3018. bottom: "inception_b4_1x1_2"
  3019. top: "inception_b4_1x1_2"
  3020. }
  3021. layer {
  3022. name: "inception_b4_1x7_reduce"
  3023. type: "Convolution"
  3024. bottom: "inception_b3_concat"
  3025. top: "inception_b4_1x7_reduce"
  3026. param {
  3027. lr_mult: 1
  3028. decay_mult: 1
  3029. }
  3030. convolution_param {
  3031. bias_term: false
  3032. num_output: 192
  3033. pad: 0
  3034. kernel_size: 1
  3035. stride: 1
  3036. weight_filler {
  3037. type: "xavier"
  3038. std: 0.01
  3039. }
  3040. }
  3041. }
  3042. layer {
  3043. name: "inception_b4_1x7_reduce_bn"
  3044. type: "BatchNorm"
  3045. bottom: "inception_b4_1x7_reduce"
  3046. top: "inception_b4_1x7_reduce"
  3047. batch_norm_param {
  3048. use_global_stats: true
  3049. eps: 0.001
  3050. }
  3051. }
  3052. layer {
  3053. name: "inception_b4_1x7_reduce_scale"
  3054. type: "Scale"
  3055. bottom: "inception_b4_1x7_reduce"
  3056. top: "inception_b4_1x7_reduce"
  3057. scale_param {
  3058. bias_term: true
  3059. }
  3060. }
  3061. layer {
  3062. name: "inception_b4_1x7_reduce_relu"
  3063. type: "ReLU"
  3064. bottom: "inception_b4_1x7_reduce"
  3065. top: "inception_b4_1x7_reduce"
  3066. }
  3067. layer {
  3068. name: "inception_b4_1x7"
  3069. type: "Convolution"
  3070. bottom: "inception_b4_1x7_reduce"
  3071. top: "inception_b4_1x7"
  3072. param {
  3073. lr_mult: 1
  3074. decay_mult: 1
  3075. }
  3076. convolution_param {
  3077. bias_term: false
  3078. num_output: 192
  3079. stride: 1
  3080. weight_filler {
  3081. type: "xavier"
  3082. std: 0.01
  3083. }
  3084. pad_h: 0
  3085. pad_w: 3
  3086. kernel_h: 1
  3087. kernel_w: 7
  3088. }
  3089. }
  3090. layer {
  3091. name: "inception_b4_1x7_bn"
  3092. type: "BatchNorm"
  3093. bottom: "inception_b4_1x7"
  3094. top: "inception_b4_1x7"
  3095. batch_norm_param {
  3096. use_global_stats: true
  3097. eps: 0.001
  3098. }
  3099. }
  3100. layer {
  3101. name: "inception_b4_1x7_scale"
  3102. type: "Scale"
  3103. bottom: "inception_b4_1x7"
  3104. top: "inception_b4_1x7"
  3105. scale_param {
  3106. bias_term: true
  3107. }
  3108. }
  3109. layer {
  3110. name: "inception_b4_1x7_relu"
  3111. type: "ReLU"
  3112. bottom: "inception_b4_1x7"
  3113. top: "inception_b4_1x7"
  3114. }
  3115. layer {
  3116. name: "inception_b4_7x1"
  3117. type: "Convolution"
  3118. bottom: "inception_b4_1x7"
  3119. top: "inception_b4_7x1"
  3120. param {
  3121. lr_mult: 1
  3122. decay_mult: 1
  3123. }
  3124. convolution_param {
  3125. bias_term: false
  3126. num_output: 192
  3127. stride: 1
  3128. weight_filler {
  3129. type: "xavier"
  3130. std: 0.01
  3131. }
  3132. pad_h: 3
  3133. pad_w: 0
  3134. kernel_h: 7
  3135. kernel_w: 1
  3136. }
  3137. }
  3138. layer {
  3139. name: "inception_b4_7x1_bn"
  3140. type: "BatchNorm"
  3141. bottom: "inception_b4_7x1"
  3142. top: "inception_b4_7x1"
  3143. batch_norm_param {
  3144. use_global_stats: true
  3145. eps: 0.001
  3146. }
  3147. }
  3148. layer {
  3149. name: "inception_b4_7x1_scale"
  3150. type: "Scale"
  3151. bottom: "inception_b4_7x1"
  3152. top: "inception_b4_7x1"
  3153. scale_param {
  3154. bias_term: true
  3155. }
  3156. }
  3157. layer {
  3158. name: "inception_b4_7x1_relu"
  3159. type: "ReLU"
  3160. bottom: "inception_b4_7x1"
  3161. top: "inception_b4_7x1"
  3162. }
  3163. layer {
  3164. name: "inception_b4_7x1_reduce"
  3165. type: "Convolution"
  3166. bottom: "inception_b3_concat"
  3167. top: "inception_b4_7x1_reduce"
  3168. param {
  3169. lr_mult: 1
  3170. decay_mult: 1
  3171. }
  3172. convolution_param {
  3173. bias_term: false
  3174. num_output: 192
  3175. pad: 0
  3176. kernel_size: 1
  3177. stride: 1
  3178. weight_filler {
  3179. type: "xavier"
  3180. std: 0.01
  3181. }
  3182. }
  3183. }
  3184. layer {
  3185. name: "inception_b4_7x1_reduce_bn"
  3186. type: "BatchNorm"
  3187. bottom: "inception_b4_7x1_reduce"
  3188. top: "inception_b4_7x1_reduce"
  3189. batch_norm_param {
  3190. use_global_stats: true
  3191. eps: 0.001
  3192. }
  3193. }
  3194. layer {
  3195. name: "inception_b4_7x1_reduce_scale"
  3196. type: "Scale"
  3197. bottom: "inception_b4_7x1_reduce"
  3198. top: "inception_b4_7x1_reduce"
  3199. scale_param {
  3200. bias_term: true
  3201. }
  3202. }
  3203. layer {
  3204. name: "inception_b4_7x1_reduce_relu"
  3205. type: "ReLU"
  3206. bottom: "inception_b4_7x1_reduce"
  3207. top: "inception_b4_7x1_reduce"
  3208. }
  3209. layer {
  3210. name: "inception_b4_7x1_2"
  3211. type: "Convolution"
  3212. bottom: "inception_b4_7x1_reduce"
  3213. top: "inception_b4_7x1_2"
  3214. param {
  3215. lr_mult: 1
  3216. decay_mult: 1
  3217. }
  3218. convolution_param {
  3219. bias_term: false
  3220. num_output: 192
  3221. stride: 1
  3222. weight_filler {
  3223. type: "xavier"
  3224. std: 0.01
  3225. }
  3226. pad_h: 3
  3227. pad_w: 0
  3228. kernel_h: 7
  3229. kernel_w: 1
  3230. }
  3231. }
  3232. layer {
  3233. name: "inception_b4_7x1_2_bn"
  3234. type: "BatchNorm"
  3235. bottom: "inception_b4_7x1_2"
  3236. top: "inception_b4_7x1_2"
  3237. batch_norm_param {
  3238. use_global_stats: true
  3239. eps: 0.001
  3240. }
  3241. }
  3242. layer {
  3243. name: "inception_b4_7x1_2_scale"
  3244. type: "Scale"
  3245. bottom: "inception_b4_7x1_2"
  3246. top: "inception_b4_7x1_2"
  3247. scale_param {
  3248. bias_term: true
  3249. }
  3250. }
  3251. layer {
  3252. name: "inception_b4_7x1_2_relu"
  3253. type: "ReLU"
  3254. bottom: "inception_b4_7x1_2"
  3255. top: "inception_b4_7x1_2"
  3256. }
  3257. layer {
  3258. name: "inception_b4_1x7_2"
  3259. type: "Convolution"
  3260. bottom: "inception_b4_7x1_2"
  3261. top: "inception_b4_1x7_2"
  3262. param {
  3263. lr_mult: 1
  3264. decay_mult: 1
  3265. }
  3266. convolution_param {
  3267. bias_term: false
  3268. num_output: 192
  3269. stride: 1
  3270. weight_filler {
  3271. type: "xavier"
  3272. std: 0.01
  3273. }
  3274. pad_h: 0
  3275. pad_w: 3
  3276. kernel_h: 1
  3277. kernel_w: 7
  3278. }
  3279. }
  3280. layer {
  3281. name: "inception_b4_1x7_2_bn"
  3282. type: "BatchNorm"
  3283. bottom: "inception_b4_1x7_2"
  3284. top: "inception_b4_1x7_2"
  3285. batch_norm_param {
  3286. use_global_stats: true
  3287. eps: 0.001
  3288. }
  3289. }
  3290. layer {
  3291. name: "inception_b4_1x7_2_scale"
  3292. type: "Scale"
  3293. bottom: "inception_b4_1x7_2"
  3294. top: "inception_b4_1x7_2"
  3295. scale_param {
  3296. bias_term: true
  3297. }
  3298. }
  3299. layer {
  3300. name: "inception_b4_1x7_2_relu"
  3301. type: "ReLU"
  3302. bottom: "inception_b4_1x7_2"
  3303. top: "inception_b4_1x7_2"
  3304. }
  3305. layer {
  3306. name: "inception_b4_7x1_3"
  3307. type: "Convolution"
  3308. bottom: "inception_b4_1x7_2"
  3309. top: "inception_b4_7x1_3"
  3310. param {
  3311. lr_mult: 1
  3312. decay_mult: 1
  3313. }
  3314. convolution_param {
  3315. bias_term: false
  3316. num_output: 192
  3317. stride: 1
  3318. weight_filler {
  3319. type: "xavier"
  3320. std: 0.01
  3321. }
  3322. pad_h: 3
  3323. pad_w: 0
  3324. kernel_h: 7
  3325. kernel_w: 1
  3326. }
  3327. }
  3328. layer {
  3329. name: "inception_b4_7x1_3_bn"
  3330. type: "BatchNorm"
  3331. bottom: "inception_b4_7x1_3"
  3332. top: "inception_b4_7x1_3"
  3333. batch_norm_param {
  3334. use_global_stats: true
  3335. eps: 0.001
  3336. }
  3337. }
  3338. layer {
  3339. name: "inception_b4_7x1_3_scale"
  3340. type: "Scale"
  3341. bottom: "inception_b4_7x1_3"
  3342. top: "inception_b4_7x1_3"
  3343. scale_param {
  3344. bias_term: true
  3345. }
  3346. }
  3347. layer {
  3348. name: "inception_b4_7x1_3_relu"
  3349. type: "ReLU"
  3350. bottom: "inception_b4_7x1_3"
  3351. top: "inception_b4_7x1_3"
  3352. }
  3353. layer {
  3354. name: "inception_b4_1x7_3"
  3355. type: "Convolution"
  3356. bottom: "inception_b4_7x1_3"
  3357. top: "inception_b4_1x7_3"
  3358. param {
  3359. lr_mult: 1
  3360. decay_mult: 1
  3361. }
  3362. convolution_param {
  3363. bias_term: false
  3364. num_output: 192
  3365. stride: 1
  3366. weight_filler {
  3367. type: "xavier"
  3368. std: 0.01
  3369. }
  3370. pad_h: 0
  3371. pad_w: 3
  3372. kernel_h: 1
  3373. kernel_w: 7
  3374. }
  3375. }
  3376. layer {
  3377. name: "inception_b4_1x7_3_bn"
  3378. type: "BatchNorm"
  3379. bottom: "inception_b4_1x7_3"
  3380. top: "inception_b4_1x7_3"
  3381. batch_norm_param {
  3382. use_global_stats: true
  3383. eps: 0.001
  3384. }
  3385. }
  3386. layer {
  3387. name: "inception_b4_1x7_3_scale"
  3388. type: "Scale"
  3389. bottom: "inception_b4_1x7_3"
  3390. top: "inception_b4_1x7_3"
  3391. scale_param {
  3392. bias_term: true
  3393. }
  3394. }
  3395. layer {
  3396. name: "inception_b4_1x7_3_relu"
  3397. type: "ReLU"
  3398. bottom: "inception_b4_1x7_3"
  3399. top: "inception_b4_1x7_3"
  3400. }
  3401. layer {
  3402. name: "inception_b4_pool_ave"
  3403. type: "Pooling"
  3404. bottom: "inception_b3_concat"
  3405. top: "inception_b4_pool_ave"
  3406. pooling_param {
  3407. pool: AVE
  3408. kernel_size: 3
  3409. stride: 1
  3410. pad: 1
  3411. }
  3412. }
  3413. layer {
  3414. name: "inception_b4_1x1"
  3415. type: "Convolution"
  3416. bottom: "inception_b4_pool_ave"
  3417. top: "inception_b4_1x1"
  3418. param {
  3419. lr_mult: 1
  3420. decay_mult: 1
  3421. }
  3422. convolution_param {
  3423. bias_term: false
  3424. num_output: 192
  3425. pad: 0
  3426. kernel_size: 1
  3427. stride: 1
  3428. weight_filler {
  3429. type: "xavier"
  3430. std: 0.01
  3431. }
  3432. }
  3433. }
  3434. layer {
  3435. name: "inception_b4_1x1_bn"
  3436. type: "BatchNorm"
  3437. bottom: "inception_b4_1x1"
  3438. top: "inception_b4_1x1"
  3439. batch_norm_param {
  3440. use_global_stats: true
  3441. eps: 0.001
  3442. }
  3443. }
  3444. layer {
  3445. name: "inception_b4_1x1_scale"
  3446. type: "Scale"
  3447. bottom: "inception_b4_1x1"
  3448. top: "inception_b4_1x1"
  3449. scale_param {
  3450. bias_term: true
  3451. }
  3452. }
  3453. layer {
  3454. name: "inception_b4_1x1_relu"
  3455. type: "ReLU"
  3456. bottom: "inception_b4_1x1"
  3457. top: "inception_b4_1x1"
  3458. }
  3459. layer {
  3460. name: "inception_b4_concat"
  3461. type: "Concat"
  3462. bottom: "inception_b4_1x1_2"
  3463. bottom: "inception_b4_7x1"
  3464. bottom: "inception_b4_1x7_3"
  3465. bottom: "inception_b4_1x1"
  3466. top: "inception_b4_concat"
  3467. }
  3468. layer {
  3469. name: "reduction_b_3x3_reduce"
  3470. type: "Convolution"
  3471. bottom: "inception_b4_concat"
  3472. top: "reduction_b_3x3_reduce"
  3473. param {
  3474. lr_mult: 1
  3475. decay_mult: 1
  3476. }
  3477. convolution_param {
  3478. bias_term: false
  3479. num_output: 192
  3480. pad: 0
  3481. kernel_size: 1
  3482. stride: 1
  3483. weight_filler {
  3484. type: "xavier"
  3485. std: 0.01
  3486. }
  3487. }
  3488. }
  3489. layer {
  3490. name: "reduction_b_3x3_reduce_bn"
  3491. type: "BatchNorm"
  3492. bottom: "reduction_b_3x3_reduce"
  3493. top: "reduction_b_3x3_reduce"
  3494. batch_norm_param {
  3495. use_global_stats: true
  3496. eps: 0.001
  3497. }
  3498. }
  3499. layer {
  3500. name: "reduction_b_3x3_reduce_scale"
  3501. type: "Scale"
  3502. bottom: "reduction_b_3x3_reduce"
  3503. top: "reduction_b_3x3_reduce"
  3504. scale_param {
  3505. bias_term: true
  3506. }
  3507. }
  3508. layer {
  3509. name: "reduction_b_3x3_reduce_relu"
  3510. type: "ReLU"
  3511. bottom: "reduction_b_3x3_reduce"
  3512. top: "reduction_b_3x3_reduce"
  3513. }
  3514. layer {
  3515. name: "reduction_b_3x3"
  3516. type: "Convolution"
  3517. bottom: "reduction_b_3x3_reduce"
  3518. top: "reduction_b_3x3"
  3519. param {
  3520. lr_mult: 1
  3521. decay_mult: 1
  3522. }
  3523. convolution_param {
  3524. bias_term: false
  3525. num_output: 320
  3526. pad: 0
  3527. kernel_size: 3
  3528. stride: 2
  3529. weight_filler {
  3530. type: "xavier"
  3531. std: 0.01
  3532. }
  3533. }
  3534. }
  3535. layer {
  3536. name: "reduction_b_3x3_bn"
  3537. type: "BatchNorm"
  3538. bottom: "reduction_b_3x3"
  3539. top: "reduction_b_3x3"
  3540. batch_norm_param {
  3541. use_global_stats: true
  3542. eps: 0.001
  3543. }
  3544. }
  3545. layer {
  3546. name: "reduction_b_3x3_scale"
  3547. type: "Scale"
  3548. bottom: "reduction_b_3x3"
  3549. top: "reduction_b_3x3"
  3550. scale_param {
  3551. bias_term: true
  3552. }
  3553. }
  3554. layer {
  3555. name: "reduction_b_3x3_relu"
  3556. type: "ReLU"
  3557. bottom: "reduction_b_3x3"
  3558. top: "reduction_b_3x3"
  3559. }
  3560. layer {
  3561. name: "reduction_b_1x7_reduce"
  3562. type: "Convolution"
  3563. bottom: "inception_b4_concat"
  3564. top: "reduction_b_1x7_reduce"
  3565. param {
  3566. lr_mult: 1
  3567. decay_mult: 1
  3568. }
  3569. convolution_param {
  3570. bias_term: false
  3571. num_output: 192
  3572. pad: 0
  3573. kernel_size: 1
  3574. stride: 1
  3575. weight_filler {
  3576. type: "xavier"
  3577. std: 0.01
  3578. }
  3579. }
  3580. }
  3581. layer {
  3582. name: "reduction_b_1x7_reduce_bn"
  3583. type: "BatchNorm"
  3584. bottom: "reduction_b_1x7_reduce"
  3585. top: "reduction_b_1x7_reduce"
  3586. batch_norm_param {
  3587. use_global_stats: true
  3588. eps: 0.001
  3589. }
  3590. }
  3591. layer {
  3592. name: "reduction_b_1x7_reduce_scale"
  3593. type: "Scale"
  3594. bottom: "reduction_b_1x7_reduce"
  3595. top: "reduction_b_1x7_reduce"
  3596. scale_param {
  3597. bias_term: true
  3598. }
  3599. }
  3600. layer {
  3601. name: "reduction_b_1x7_reduce_relu"
  3602. type: "ReLU"
  3603. bottom: "reduction_b_1x7_reduce"
  3604. top: "reduction_b_1x7_reduce"
  3605. }
  3606. layer {
  3607. name: "reduction_b_1x7"
  3608. type: "Convolution"
  3609. bottom: "reduction_b_1x7_reduce"
  3610. top: "reduction_b_1x7"
  3611. param {
  3612. lr_mult: 1
  3613. decay_mult: 1
  3614. }
  3615. convolution_param {
  3616. bias_term: false
  3617. num_output: 192
  3618. stride: 1
  3619. weight_filler {
  3620. type: "xavier"
  3621. std: 0.01
  3622. }
  3623. pad_h: 0
  3624. pad_w: 3
  3625. kernel_h: 1
  3626. kernel_w: 7
  3627. }
  3628. }
  3629. layer {
  3630. name: "reduction_b_1x7_bn"
  3631. type: "BatchNorm"
  3632. bottom: "reduction_b_1x7"
  3633. top: "reduction_b_1x7"
  3634. batch_norm_param {
  3635. use_global_stats: true
  3636. eps: 0.001
  3637. }
  3638. }
  3639. layer {
  3640. name: "reduction_b_1x7_scale"
  3641. type: "Scale"
  3642. bottom: "reduction_b_1x7"
  3643. top: "reduction_b_1x7"
  3644. scale_param {
  3645. bias_term: true
  3646. }
  3647. }
  3648. layer {
  3649. name: "reduction_b_1x7_relu"
  3650. type: "ReLU"
  3651. bottom: "reduction_b_1x7"
  3652. top: "reduction_b_1x7"
  3653. }
  3654. layer {
  3655. name: "reduction_b_7x1"
  3656. type: "Convolution"
  3657. bottom: "reduction_b_1x7"
  3658. top: "reduction_b_7x1"
  3659. param {
  3660. lr_mult: 1
  3661. decay_mult: 1
  3662. }
  3663. convolution_param {
  3664. bias_term: false
  3665. num_output: 192
  3666. stride: 1
  3667. weight_filler {
  3668. type: "xavier"
  3669. std: 0.01
  3670. }
  3671. pad_h: 3
  3672. pad_w: 0
  3673. kernel_h: 7
  3674. kernel_w: 1
  3675. }
  3676. }
  3677. layer {
  3678. name: "reduction_b_7x1_bn"
  3679. type: "BatchNorm"
  3680. bottom: "reduction_b_7x1"
  3681. top: "reduction_b_7x1"
  3682. batch_norm_param {
  3683. use_global_stats: true
  3684. eps: 0.001
  3685. }
  3686. }
  3687. layer {
  3688. name: "reduction_b_7x1_scale"
  3689. type: "Scale"
  3690. bottom: "reduction_b_7x1"
  3691. top: "reduction_b_7x1"
  3692. scale_param {
  3693. bias_term: true
  3694. }
  3695. }
  3696. layer {
  3697. name: "reduction_b_7x1_relu"
  3698. type: "ReLU"
  3699. bottom: "reduction_b_7x1"
  3700. top: "reduction_b_7x1"
  3701. }
  3702. layer {
  3703. name: "reduction_b_3x3_2"
  3704. type: "Convolution"
  3705. bottom: "reduction_b_7x1"
  3706. top: "reduction_b_3x3_2"
  3707. param {
  3708. lr_mult: 1
  3709. decay_mult: 1
  3710. }
  3711. convolution_param {
  3712. bias_term: false
  3713. num_output: 192
  3714. pad: 0
  3715. kernel_size: 3
  3716. stride: 2
  3717. weight_filler {
  3718. type: "xavier"
  3719. std: 0.01
  3720. }
  3721. }
  3722. }
  3723. layer {
  3724. name: "reduction_b_3x3_2_bn"
  3725. type: "BatchNorm"
  3726. bottom: "reduction_b_3x3_2"
  3727. top: "reduction_b_3x3_2"
  3728. batch_norm_param {
  3729. use_global_stats: true
  3730. eps: 0.001
  3731. }
  3732. }
  3733. layer {
  3734. name: "reduction_b_3x3_2_scale"
  3735. type: "Scale"
  3736. bottom: "reduction_b_3x3_2"
  3737. top: "reduction_b_3x3_2"
  3738. scale_param {
  3739. bias_term: true
  3740. }
  3741. }
  3742. layer {
  3743. name: "reduction_b_3x3_2_relu"
  3744. type: "ReLU"
  3745. bottom: "reduction_b_3x3_2"
  3746. top: "reduction_b_3x3_2"
  3747. }
  3748. layer {
  3749. name: "reduction_b_pool"
  3750. type: "Pooling"
  3751. bottom: "inception_b4_concat"
  3752. top: "reduction_b_pool"
  3753. pooling_param {
  3754. pool: MAX
  3755. kernel_size: 3
  3756. stride: 2
  3757. }
  3758. }
  3759. layer {
  3760. name: "reduction_b_concat"
  3761. type: "Concat"
  3762. bottom: "reduction_b_3x3"
  3763. bottom: "reduction_b_3x3_2"
  3764. bottom: "reduction_b_pool"
  3765. top: "reduction_b_concat"
  3766. }
  3767.  
  3768. layer {
  3769. name: "inception_c1_1x1_2"
  3770. type: "Convolution"
  3771. bottom: "reduction_b_concat"
  3772. top: "inception_c1_1x1_2"
  3773. param {
  3774. lr_mult: 1
  3775. decay_mult: 1
  3776. }
  3777. convolution_param {
  3778. bias_term: false
  3779. num_output: 320
  3780. pad: 0
  3781. kernel_size: 1
  3782. stride: 1
  3783. weight_filler {
  3784. type: "xavier"
  3785. std: 0.01
  3786. }
  3787. }
  3788. }
  3789. layer {
  3790. name: "inception_c1_1x1_2_bn"
  3791. type: "BatchNorm"
  3792. bottom: "inception_c1_1x1_2"
  3793. top: "inception_c1_1x1_2"
  3794. batch_norm_param {
  3795. use_global_stats: true
  3796. eps: 0.001
  3797. }
  3798. }
  3799. layer {
  3800. name: "inception_c1_1x1_2_scale"
  3801. type: "Scale"
  3802. bottom: "inception_c1_1x1_2"
  3803. top: "inception_c1_1x1_2"
  3804. scale_param {
  3805. bias_term: true
  3806. }
  3807. }
  3808. layer {
  3809. name: "inception_c1_1x1_2_relu"
  3810. type: "ReLU"
  3811. bottom: "inception_c1_1x1_2"
  3812. top: "inception_c1_1x1_2"
  3813. }
  3814. layer {
  3815. name: "inception_c1_1x3_reduce"
  3816. type: "Convolution"
  3817. bottom: "reduction_b_concat"
  3818. top: "inception_c1_1x3_reduce"
  3819. param {
  3820. lr_mult: 1
  3821. decay_mult: 1
  3822. }
  3823. convolution_param {
  3824. bias_term: false
  3825. num_output: 384
  3826. pad: 0
  3827. kernel_size: 1
  3828. stride: 1
  3829. weight_filler {
  3830. type: "xavier"
  3831. std: 0.01
  3832. }
  3833. }
  3834. }
  3835. layer {
  3836. name: "inception_c1_1x3_reduce_bn"
  3837. type: "BatchNorm"
  3838. bottom: "inception_c1_1x3_reduce"
  3839. top: "inception_c1_1x3_reduce"
  3840. batch_norm_param {
  3841. use_global_stats: true
  3842. eps: 0.001
  3843. }
  3844. }
  3845. layer {
  3846. name: "inception_c1_1x3_reduce_scale"
  3847. type: "Scale"
  3848. bottom: "inception_c1_1x3_reduce"
  3849. top: "inception_c1_1x3_reduce"
  3850. scale_param {
  3851. bias_term: true
  3852. }
  3853. }
  3854. layer {
  3855. name: "inception_c1_1x3_reduce_relu"
  3856. type: "ReLU"
  3857. bottom: "inception_c1_1x3_reduce"
  3858. top: "inception_c1_1x3_reduce"
  3859. }
  3860. layer {
  3861. name: "inception_c1_1x3"
  3862. type: "Convolution"
  3863. bottom: "inception_c1_1x3_reduce"
  3864. top: "inception_c1_1x3"
  3865. param {
  3866. lr_mult: 1
  3867. decay_mult: 1
  3868. }
  3869. convolution_param {
  3870. bias_term: false
  3871. num_output: 384
  3872. stride: 1
  3873. weight_filler {
  3874. type: "xavier"
  3875. std: 0.01
  3876. }
  3877. pad_h: 0
  3878. pad_w: 1
  3879. kernel_h: 1
  3880. kernel_w: 3
  3881. }
  3882. }
  3883. layer {
  3884. name: "inception_c1_1x3_bn"
  3885. type: "BatchNorm"
  3886. bottom: "inception_c1_1x3"
  3887. top: "inception_c1_1x3"
  3888. batch_norm_param {
  3889. use_global_stats: true
  3890. eps: 0.001
  3891. }
  3892. }
  3893. layer {
  3894. name: "inception_c1_1x3_scale"
  3895. type: "Scale"
  3896. bottom: "inception_c1_1x3"
  3897. top: "inception_c1_1x3"
  3898. scale_param {
  3899. bias_term: true
  3900. }
  3901. }
  3902. layer {
  3903. name: "inception_c1_1x3_relu"
  3904. type: "ReLU"
  3905. bottom: "inception_c1_1x3"
  3906. top: "inception_c1_1x3"
  3907. }
  3908. layer {
  3909. name: "inception_c1_3x1"
  3910. type: "Convolution"
  3911. bottom: "inception_c1_1x3_reduce"
  3912. top: "inception_c1_3x1"
  3913. param {
  3914. lr_mult: 1
  3915. decay_mult: 1
  3916. }
  3917. convolution_param {
  3918. bias_term: false
  3919. num_output: 384
  3920. stride: 1
  3921. weight_filler {
  3922. type: "xavier"
  3923. std: 0.01
  3924. }
  3925. pad_h: 1
  3926. pad_w: 0
  3927. kernel_h: 3
  3928. kernel_w: 1
  3929. }
  3930. }
  3931. layer {
  3932. name: "inception_c1_3x1_bn"
  3933. type: "BatchNorm"
  3934. bottom: "inception_c1_3x1"
  3935. top: "inception_c1_3x1"
  3936. batch_norm_param {
  3937. use_global_stats: true
  3938. eps: 0.001
  3939. }
  3940. }
  3941. layer {
  3942. name: "inception_c1_3x1_scale"
  3943. type: "Scale"
  3944. bottom: "inception_c1_3x1"
  3945. top: "inception_c1_3x1"
  3946. scale_param {
  3947. bias_term: true
  3948. }
  3949. }
  3950. layer {
  3951. name: "inception_c1_3x1_relu"
  3952. type: "ReLU"
  3953. bottom: "inception_c1_3x1"
  3954. top: "inception_c1_3x1"
  3955. }
  3956. layer {
  3957. name: "inception_c1_3x3_reduce"
  3958. type: "Convolution"
  3959. bottom: "reduction_b_concat"
  3960. top: "inception_c1_3x3_reduce"
  3961. param {
  3962. lr_mult: 1
  3963. decay_mult: 1
  3964. }
  3965. convolution_param {
  3966. bias_term: false
  3967. num_output: 448
  3968. pad: 0
  3969. kernel_size: 1
  3970. stride: 1
  3971. weight_filler {
  3972. type: "xavier"
  3973. std: 0.01
  3974. }
  3975. }
  3976. }
  3977. layer {
  3978. name: "inception_c1_3x3_reduce_bn"
  3979. type: "BatchNorm"
  3980. bottom: "inception_c1_3x3_reduce"
  3981. top: "inception_c1_3x3_reduce"
  3982. batch_norm_param {
  3983. use_global_stats: true
  3984. eps: 0.001
  3985. }
  3986. }
  3987. layer {
  3988. name: "inception_c1_3x3_reduce_scale"
  3989. type: "Scale"
  3990. bottom: "inception_c1_3x3_reduce"
  3991. top: "inception_c1_3x3_reduce"
  3992. scale_param {
  3993. bias_term: true
  3994. }
  3995. }
  3996. layer {
  3997. name: "inception_c1_3x3_reduce_relu"
  3998. type: "ReLU"
  3999. bottom: "inception_c1_3x3_reduce"
  4000. top: "inception_c1_3x3_reduce"
  4001. }
  4002. layer {
  4003. name: "inception_c1_3x3"
  4004. type: "Convolution"
  4005. bottom: "inception_c1_3x3_reduce"
  4006. top: "inception_c1_3x3"
  4007. param {
  4008. lr_mult: 1
  4009. decay_mult: 1
  4010. }
  4011. convolution_param {
  4012. bias_term: false
  4013. num_output: 384
  4014. pad: 1
  4015. kernel_size: 3
  4016. stride: 1
  4017. weight_filler {
  4018. type: "xavier"
  4019. std: 0.01
  4020. }
  4021. }
  4022. }
  4023. layer {
  4024. name: "inception_c1_3x3_bn"
  4025. type: "BatchNorm"
  4026. bottom: "inception_c1_3x3"
  4027. top: "inception_c1_3x3"
  4028. batch_norm_param {
  4029. use_global_stats: true
  4030. eps: 0.001
  4031. }
  4032. }
  4033. layer {
  4034. name: "inception_c1_3x3_scale"
  4035. type: "Scale"
  4036. bottom: "inception_c1_3x3"
  4037. top: "inception_c1_3x3"
  4038. scale_param {
  4039. bias_term: true
  4040. }
  4041. }
  4042. layer {
  4043. name: "inception_c1_3x3_relu"
  4044. type: "ReLU"
  4045. bottom: "inception_c1_3x3"
  4046. top: "inception_c1_3x3"
  4047. }
  4048. layer {
  4049. name: "inception_c1_1x3_2"
  4050. type: "Convolution"
  4051. bottom: "inception_c1_3x3"
  4052. top: "inception_c1_1x3_2"
  4053. param {
  4054. lr_mult: 1
  4055. decay_mult: 1
  4056. }
  4057. convolution_param {
  4058. bias_term: false
  4059. num_output: 384
  4060. stride: 1
  4061. weight_filler {
  4062. type: "xavier"
  4063. std: 0.01
  4064. }
  4065. pad_h: 0
  4066. pad_w: 1
  4067. kernel_h: 1
  4068. kernel_w: 3
  4069. }
  4070. }
  4071. layer {
  4072. name: "inception_c1_1x3_2_bn"
  4073. type: "BatchNorm"
  4074. bottom: "inception_c1_1x3_2"
  4075. top: "inception_c1_1x3_2"
  4076. batch_norm_param {
  4077. use_global_stats: true
  4078. eps: 0.001
  4079. }
  4080. }
  4081. layer {
  4082. name: "inception_c1_1x3_2_scale"
  4083. type: "Scale"
  4084. bottom: "inception_c1_1x3_2"
  4085. top: "inception_c1_1x3_2"
  4086. scale_param {
  4087. bias_term: true
  4088. }
  4089. }
  4090. layer {
  4091. name: "inception_c1_1x3_2_relu"
  4092. type: "ReLU"
  4093. bottom: "inception_c1_1x3_2"
  4094. top: "inception_c1_1x3_2"
  4095. }
  4096. layer {
  4097. name: "inception_c1_3x1_2"
  4098. type: "Convolution"
  4099. bottom: "inception_c1_3x3"
  4100. top: "inception_c1_3x1_2"
  4101. param {
  4102. lr_mult: 1
  4103. decay_mult: 1
  4104. }
  4105. convolution_param {
  4106. bias_term: false
  4107. num_output: 384
  4108. stride: 1
  4109. weight_filler {
  4110. type: "xavier"
  4111. std: 0.01
  4112. }
  4113. pad_h: 1
  4114. pad_w: 0
  4115. kernel_h: 3
  4116. kernel_w: 1
  4117. }
  4118. }
  4119. layer {
  4120. name: "inception_c1_3x1_2_bn"
  4121. type: "BatchNorm"
  4122. bottom: "inception_c1_3x1_2"
  4123. top: "inception_c1_3x1_2"
  4124. batch_norm_param {
  4125. use_global_stats: true
  4126. eps: 0.001
  4127. }
  4128. }
  4129. layer {
  4130. name: "inception_c1_3x1_2_scale"
  4131. type: "Scale"
  4132. bottom: "inception_c1_3x1_2"
  4133. top: "inception_c1_3x1_2"
  4134. scale_param {
  4135. bias_term: true
  4136. }
  4137. }
  4138. layer {
  4139. name: "inception_c1_3x1_2_relu"
  4140. type: "ReLU"
  4141. bottom: "inception_c1_3x1_2"
  4142. top: "inception_c1_3x1_2"
  4143. }
  4144. layer {
  4145. name: "inception_c1_pool"
  4146. type: "Pooling"
  4147. bottom: "reduction_b_concat"
  4148. top: "inception_c1_pool"
  4149. pooling_param {
  4150. pool: AVE
  4151. kernel_size: 3
  4152. stride: 1
  4153. pad: 1
  4154. }
  4155. }
  4156. layer {
  4157. name: "inception_c1_1x1"
  4158. type: "Convolution"
  4159. bottom: "inception_c1_pool"
  4160. top: "inception_c1_1x1"
  4161. param {
  4162. lr_mult: 1
  4163. decay_mult: 1
  4164. }
  4165. convolution_param {
  4166. bias_term: false
  4167. num_output: 192
  4168. pad: 0
  4169. kernel_size: 1
  4170. stride: 1
  4171. weight_filler {
  4172. type: "xavier"
  4173. std: 0.01
  4174. }
  4175. }
  4176. }
  4177. layer {
  4178. name: "inception_c1_1x1_bn"
  4179. type: "BatchNorm"
  4180. bottom: "inception_c1_1x1"
  4181. top: "inception_c1_1x1"
  4182. batch_norm_param {
  4183. use_global_stats: true
  4184. eps: 0.001
  4185. }
  4186. }
  4187. layer {
  4188. name: "inception_c1_1x1_scale"
  4189. type: "Scale"
  4190. bottom: "inception_c1_1x1"
  4191. top: "inception_c1_1x1"
  4192. scale_param {
  4193. bias_term: true
  4194. }
  4195. }
  4196. layer {
  4197. name: "inception_c1_1x1_relu"
  4198. type: "ReLU"
  4199. bottom: "inception_c1_1x1"
  4200. top: "inception_c1_1x1"
  4201. }
  4202. layer {
  4203. name: "inception_c1_concat"
  4204. type: "Concat"
  4205. bottom: "inception_c1_1x1_2"
  4206. bottom: "inception_c1_1x3"
  4207. bottom: "inception_c1_3x1"
  4208. bottom: "inception_c1_1x3_2"
  4209. bottom: "inception_c1_3x1_2"
  4210. bottom: "inception_c1_1x1"
  4211. top: "inception_c1_concat"
  4212. }
  4213. layer {
  4214. name: "inception_c2_1x1_2"
  4215. type: "Convolution"
  4216. bottom: "inception_c1_concat"
  4217. top: "inception_c2_1x1_2"
  4218. param {
  4219. lr_mult: 1
  4220. decay_mult: 1
  4221. }
  4222. convolution_param {
  4223. bias_term: false
  4224. num_output: 320
  4225. pad: 0
  4226. kernel_size: 1
  4227. stride: 1
  4228. weight_filler {
  4229. type: "xavier"
  4230. std: 0.01
  4231. }
  4232. }
  4233. }
  4234. layer {
  4235. name: "inception_c2_1x1_2_bn"
  4236. type: "BatchNorm"
  4237. bottom: "inception_c2_1x1_2"
  4238. top: "inception_c2_1x1_2"
  4239. batch_norm_param {
  4240. use_global_stats: true
  4241. eps: 0.001
  4242. }
  4243. }
  4244. layer {
  4245. name: "inception_c2_1x1_2_scale"
  4246. type: "Scale"
  4247. bottom: "inception_c2_1x1_2"
  4248. top: "inception_c2_1x1_2"
  4249. scale_param {
  4250. bias_term: true
  4251. }
  4252. }
  4253. layer {
  4254. name: "inception_c2_1x1_2_relu"
  4255. type: "ReLU"
  4256. bottom: "inception_c2_1x1_2"
  4257. top: "inception_c2_1x1_2"
  4258. }
  4259. layer {
  4260. name: "inception_c2_1x3_reduce"
  4261. type: "Convolution"
  4262. bottom: "inception_c1_concat"
  4263. top: "inception_c2_1x3_reduce"
  4264. param {
  4265. lr_mult: 1
  4266. decay_mult: 1
  4267. }
  4268. convolution_param {
  4269. bias_term: false
  4270. num_output: 384
  4271. pad: 0
  4272. kernel_size: 1
  4273. stride: 1
  4274. weight_filler {
  4275. type: "xavier"
  4276. std: 0.01
  4277. }
  4278. }
  4279. }
  4280. layer {
  4281. name: "inception_c2_1x3_reduce_bn"
  4282. type: "BatchNorm"
  4283. bottom: "inception_c2_1x3_reduce"
  4284. top: "inception_c2_1x3_reduce"
  4285. batch_norm_param {
  4286. use_global_stats: true
  4287. eps: 0.001
  4288. }
  4289. }
  4290. layer {
  4291. name: "inception_c2_1x3_reduce_scale"
  4292. type: "Scale"
  4293. bottom: "inception_c2_1x3_reduce"
  4294. top: "inception_c2_1x3_reduce"
  4295. scale_param {
  4296. bias_term: true
  4297. }
  4298. }
  4299. layer {
  4300. name: "inception_c2_1x3_reduce_relu"
  4301. type: "ReLU"
  4302. bottom: "inception_c2_1x3_reduce"
  4303. top: "inception_c2_1x3_reduce"
  4304. }
  4305. layer {
  4306. name: "inception_c2_1x3"
  4307. type: "Convolution"
  4308. bottom: "inception_c2_1x3_reduce"
  4309. top: "inception_c2_1x3"
  4310. param {
  4311. lr_mult: 1
  4312. decay_mult: 1
  4313. }
  4314. convolution_param {
  4315. bias_term: false
  4316. num_output: 384
  4317. stride: 1
  4318. weight_filler {
  4319. type: "xavier"
  4320. std: 0.01
  4321. }
  4322. pad_h: 0
  4323. pad_w: 1
  4324. kernel_h: 1
  4325. kernel_w: 3
  4326. }
  4327. }
  4328. layer {
  4329. name: "inception_c2_1x3_bn"
  4330. type: "BatchNorm"
  4331. bottom: "inception_c2_1x3"
  4332. top: "inception_c2_1x3"
  4333. batch_norm_param {
  4334. use_global_stats: true
  4335. eps: 0.001
  4336. }
  4337. }
  4338. layer {
  4339. name: "inception_c2_1x3_scale"
  4340. type: "Scale"
  4341. bottom: "inception_c2_1x3"
  4342. top: "inception_c2_1x3"
  4343. scale_param {
  4344. bias_term: true
  4345. }
  4346. }
  4347. layer {
  4348. name: "inception_c2_1x3_relu"
  4349. type: "ReLU"
  4350. bottom: "inception_c2_1x3"
  4351. top: "inception_c2_1x3"
  4352. }
  4353. layer {
  4354. name: "inception_c2_3x1"
  4355. type: "Convolution"
  4356. bottom: "inception_c2_1x3_reduce"
  4357. top: "inception_c2_3x1"
  4358. param {
  4359. lr_mult: 1
  4360. decay_mult: 1
  4361. }
  4362. convolution_param {
  4363. bias_term: false
  4364. num_output: 384
  4365. stride: 1
  4366. weight_filler {
  4367. type: "xavier"
  4368. std: 0.01
  4369. }
  4370. pad_h: 1
  4371. pad_w: 0
  4372. kernel_h: 3
  4373. kernel_w: 1
  4374. }
  4375. }
  4376. layer {
  4377. name: "inception_c2_3x1_bn"
  4378. type: "BatchNorm"
  4379. bottom: "inception_c2_3x1"
  4380. top: "inception_c2_3x1"
  4381. batch_norm_param {
  4382. use_global_stats: true
  4383. eps: 0.001
  4384. }
  4385. }
  4386. layer {
  4387. name: "inception_c2_3x1_scale"
  4388. type: "Scale"
  4389. bottom: "inception_c2_3x1"
  4390. top: "inception_c2_3x1"
  4391. scale_param {
  4392. bias_term: true
  4393. }
  4394. }
  4395. layer {
  4396. name: "inception_c2_3x1_relu"
  4397. type: "ReLU"
  4398. bottom: "inception_c2_3x1"
  4399. top: "inception_c2_3x1"
  4400. }
  4401. layer {
  4402. name: "inception_c2_3x3_reduce"
  4403. type: "Convolution"
  4404. bottom: "inception_c1_concat"
  4405. top: "inception_c2_3x3_reduce"
  4406. param {
  4407. lr_mult: 1
  4408. decay_mult: 1
  4409. }
  4410. convolution_param {
  4411. bias_term: false
  4412. num_output: 448
  4413. pad: 0
  4414. kernel_size: 1
  4415. stride: 1
  4416. weight_filler {
  4417. type: "xavier"
  4418. std: 0.01
  4419. }
  4420. }
  4421. }
  4422. layer {
  4423. name: "inception_c2_3x3_reduce_bn"
  4424. type: "BatchNorm"
  4425. bottom: "inception_c2_3x3_reduce"
  4426. top: "inception_c2_3x3_reduce"
  4427. batch_norm_param {
  4428. use_global_stats: true
  4429. eps: 0.001
  4430. }
  4431. }
  4432. layer {
  4433. name: "inception_c2_3x3_reduce_scale"
  4434. type: "Scale"
  4435. bottom: "inception_c2_3x3_reduce"
  4436. top: "inception_c2_3x3_reduce"
  4437. scale_param {
  4438. bias_term: true
  4439. }
  4440. }
  4441. layer {
  4442. name: "inception_c2_3x3_reduce_relu"
  4443. type: "ReLU"
  4444. bottom: "inception_c2_3x3_reduce"
  4445. top: "inception_c2_3x3_reduce"
  4446. }
  4447. layer {
  4448. name: "inception_c2_3x3"
  4449. type: "Convolution"
  4450. bottom: "inception_c2_3x3_reduce"
  4451. top: "inception_c2_3x3"
  4452. param {
  4453. lr_mult: 1
  4454. decay_mult: 1
  4455. }
  4456. convolution_param {
  4457. bias_term: false
  4458. num_output: 384
  4459. pad: 1
  4460. kernel_size: 3
  4461. stride: 1
  4462. weight_filler {
  4463. type: "xavier"
  4464. std: 0.01
  4465. }
  4466. }
  4467. }
  4468. layer {
  4469. name: "inception_c2_3x3_bn"
  4470. type: "BatchNorm"
  4471. bottom: "inception_c2_3x3"
  4472. top: "inception_c2_3x3"
  4473. batch_norm_param {
  4474. use_global_stats: true
  4475. eps: 0.001
  4476. }
  4477. }
  4478. layer {
  4479. name: "inception_c2_3x3_scale"
  4480. type: "Scale"
  4481. bottom: "inception_c2_3x3"
  4482. top: "inception_c2_3x3"
  4483. scale_param {
  4484. bias_term: true
  4485. }
  4486. }
  4487. layer {
  4488. name: "inception_c2_3x3_relu"
  4489. type: "ReLU"
  4490. bottom: "inception_c2_3x3"
  4491. top: "inception_c2_3x3"
  4492. }
  4493. layer {
  4494. name: "inception_c2_1x3_2"
  4495. type: "Convolution"
  4496. bottom: "inception_c2_3x3"
  4497. top: "inception_c2_1x3_2"
  4498. param {
  4499. lr_mult: 1
  4500. decay_mult: 1
  4501. }
  4502. convolution_param {
  4503. bias_term: false
  4504. num_output: 384
  4505. stride: 1
  4506. weight_filler {
  4507. type: "xavier"
  4508. std: 0.01
  4509. }
  4510. pad_h: 0
  4511. pad_w: 1
  4512. kernel_h: 1
  4513. kernel_w: 3
  4514. }
  4515. }
  4516. layer {
  4517. name: "inception_c2_1x3_2_bn"
  4518. type: "BatchNorm"
  4519. bottom: "inception_c2_1x3_2"
  4520. top: "inception_c2_1x3_2"
  4521. batch_norm_param {
  4522. use_global_stats: true
  4523. eps: 0.001
  4524. }
  4525. }
  4526. layer {
  4527. name: "inception_c2_1x3_2_scale"
  4528. type: "Scale"
  4529. bottom: "inception_c2_1x3_2"
  4530. top: "inception_c2_1x3_2"
  4531. scale_param {
  4532. bias_term: true
  4533. }
  4534. }
  4535. layer {
  4536. name: "inception_c2_1x3_2_relu"
  4537. type: "ReLU"
  4538. bottom: "inception_c2_1x3_2"
  4539. top: "inception_c2_1x3_2"
  4540. }
  4541. layer {
  4542. name: "inception_c2_3x1_2"
  4543. type: "Convolution"
  4544. bottom: "inception_c2_3x3"
  4545. top: "inception_c2_3x1_2"
  4546. param {
  4547. lr_mult: 1
  4548. decay_mult: 1
  4549. }
  4550. convolution_param {
  4551. bias_term: false
  4552. num_output: 384
  4553. stride: 1
  4554. weight_filler {
  4555. type: "xavier"
  4556. std: 0.01
  4557. }
  4558. pad_h: 1
  4559. pad_w: 0
  4560. kernel_h: 3
  4561. kernel_w: 1
  4562. }
  4563. }
  4564. layer {
  4565. name: "inception_c2_3x1_2_bn"
  4566. type: "BatchNorm"
  4567. bottom: "inception_c2_3x1_2"
  4568. top: "inception_c2_3x1_2"
  4569. batch_norm_param {
  4570. use_global_stats: true
  4571. eps: 0.001
  4572. }
  4573. }
  4574. layer {
  4575. name: "inception_c2_3x1_2_scale"
  4576. type: "Scale"
  4577. bottom: "inception_c2_3x1_2"
  4578. top: "inception_c2_3x1_2"
  4579. scale_param {
  4580. bias_term: true
  4581. }
  4582. }
  4583. layer {
  4584. name: "inception_c2_3x1_2_relu"
  4585. type: "ReLU"
  4586. bottom: "inception_c2_3x1_2"
  4587. top: "inception_c2_3x1_2"
  4588. }
  4589. layer {
  4590. name: "inception_c2_pool"
  4591. type: "Pooling"
  4592. bottom: "inception_c1_concat"
  4593. top: "inception_c2_pool"
  4594. pooling_param {
  4595. pool: MAX
  4596. kernel_size: 3
  4597. stride: 1
  4598. pad: 1
  4599. }
  4600. }
  4601. layer {
  4602. name: "inception_c2_1x1"
  4603. type: "Convolution"
  4604. bottom: "inception_c2_pool"
  4605. top: "inception_c2_1x1"
  4606. param {
  4607. lr_mult: 1
  4608. decay_mult: 1
  4609. }
  4610. convolution_param {
  4611. bias_term: false
  4612. num_output: 192
  4613. pad: 0
  4614. kernel_size: 1
  4615. stride: 1
  4616. weight_filler {
  4617. type: "xavier"
  4618. std: 0.01
  4619. }
  4620. }
  4621. }
  4622. layer {
  4623. name: "inception_c2_1x1_bn"
  4624. type: "BatchNorm"
  4625. bottom: "inception_c2_1x1"
  4626. top: "inception_c2_1x1"
  4627. batch_norm_param {
  4628. use_global_stats: true
  4629. eps: 0.001
  4630. }
  4631. }
  4632. layer {
  4633. name: "inception_c2_1x1_scale"
  4634. type: "Scale"
  4635. bottom: "inception_c2_1x1"
  4636. top: "inception_c2_1x1"
  4637. scale_param {
  4638. bias_term: true
  4639. }
  4640. }
  4641. layer {
  4642. name: "inception_c2_1x1_relu"
  4643. type: "ReLU"
  4644. bottom: "inception_c2_1x1"
  4645. top: "inception_c2_1x1"
  4646. }
  4647. layer {
  4648. name: "inception_c2_concat"
  4649. type: "Concat"
  4650. bottom: "inception_c2_1x1_2"
  4651. bottom: "inception_c2_1x3"
  4652. bottom: "inception_c2_3x1"
  4653. bottom: "inception_c2_1x3_2"
  4654. bottom: "inception_c2_3x1_2"
  4655. bottom: "inception_c2_1x1"
  4656. top: "inception_c2_concat"
  4657. }
  4658. layer {
  4659. name: "pool_8x8_s1"
  4660. type: "Pooling"
  4661. bottom: "inception_c2_concat"
  4662. top: "pool_8x8_s1"
  4663. pooling_param {
  4664. pool: AVE
  4665. global_pooling: true
  4666. }
  4667. }
  4668. layer {
  4669. name: "pool_8x8_s1_drop"
  4670. type: "Dropout"
  4671. bottom: "pool_8x8_s1"
  4672. top: "pool_8x8_s1_drop"
  4673. dropout_param {
  4674. dropout_ratio: 0.2
  4675. }
  4676. }
  4677. layer {
  4678. name: "classifier"
  4679. type: "InnerProduct"
  4680. bottom: "pool_8x8_s1_drop"
  4681. top: "classifier"
  4682. param {
  4683. lr_mult: 1
  4684. decay_mult: 1
  4685. }
  4686. param {
  4687. lr_mult: 2
  4688. decay_mult: 0
  4689. }
  4690. inner_product_param {
  4691. num_output: 1000
  4692. weight_filler {
  4693. type: "xavier"
  4694. }
  4695. bias_filler {
  4696. type: "constant"
  4697. value: 0
  4698. }
  4699. }
  4700. }
  4701. layer {
  4702. name: "prob"
  4703. type: "Softmax"
  4704. bottom: "classifier"
  4705. top: "prob"
  4706. }
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