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  1. name: "net"
  2.  
  3. # input: "data"
  4. #input_dim: 1
  5. #input_dim: 3
  6. #input_dim: 1024
  7. #input_dim: 2048
  8. #
  9.  
  10. #layer {
  11. # name: "data"
  12. # type: "ImageData"
  13. # top: "data"
  14. # include {
  15. # phase: TEST
  16. # }
  17. # image_data_param {
  18. # source: "Daimler2048x1024/images/listing.txt"
  19. # batch_size: 1
  20. # new_height: 1024
  21. # new_width: 2048
  22. # }
  23. #}
  24.  
  25. layer {
  26. name: "data"
  27. type: "Input"
  28. top: "data"
  29. input_param { shape: { dim: 1 dim: 3 dim: 512 dim: 1024 } }
  30. }
  31.  
  32. #layer {
  33. # type: 'DummyData'
  34. # name: 'dummy_data'
  35. # top: 'dummy_data'
  36. # dummy_data_param {
  37. # num: 1
  38. # channels: 3
  39. # height: 1024
  40. # width: 2048
  41. # data_filler { type: 'gaussian' std: 0.1 }
  42. # }
  43. #}
  44.  
  45.  
  46. layer {
  47. name: "conv1/7x7_s2"
  48. type: "Convolution"
  49. bottom: "data"
  50. top: "conv1/7x7_s2"
  51. convolution_param {
  52. num_output: 64
  53. pad: 3
  54. kernel_size: 7
  55. stride: 2
  56. }
  57. }
  58. layer {
  59. name: "conv1/relu_7x7"
  60. type: "ReLU"
  61. bottom: "conv1/7x7_s2"
  62. top: "conv1/7x7_s2"
  63. }
  64. layer {
  65. name: "pool1/3x3_s2"
  66. type: "Pooling"
  67. bottom: "conv1/7x7_s2"
  68. top: "pool1/3x3_s2"
  69. pooling_param {
  70. pool: MAX
  71. kernel_size: 3
  72. stride: 2
  73. }
  74. }
  75. layer {
  76. name: "pool1/norm1"
  77. type: "LRN"
  78. bottom: "pool1/3x3_s2"
  79. top: "pool1/norm1"
  80. lrn_param {
  81. local_size: 5
  82. alpha: 0.0001
  83. beta: 0.75
  84. }
  85. }
  86. layer {
  87. name: "conv2/3x3_reduce"
  88. type: "Convolution"
  89. bottom: "pool1/norm1"
  90. top: "conv2/3x3_reduce"
  91. convolution_param {
  92. num_output: 64
  93. kernel_size: 1
  94. }
  95. }
  96. layer {
  97. name: "conv2/relu_3x3_reduce"
  98. type: "ReLU"
  99. bottom: "conv2/3x3_reduce"
  100. top: "conv2/3x3_reduce"
  101. }
  102. layer {
  103. name: "conv2/3x3"
  104. type: "Convolution"
  105. bottom: "conv2/3x3_reduce"
  106. top: "conv2/3x3"
  107. convolution_param {
  108. num_output: 192
  109. pad: 1
  110. kernel_size: 3
  111. }
  112. }
  113. layer {
  114. name: "conv2/relu_3x3"
  115. type: "ReLU"
  116. bottom: "conv2/3x3"
  117. top: "conv2/3x3"
  118. }
  119. layer {
  120. name: "conv2/norm2"
  121. type: "LRN"
  122. bottom: "conv2/3x3"
  123. top: "conv2/norm2"
  124. lrn_param {
  125. local_size: 5
  126. alpha: 0.0001
  127. beta: 0.75
  128. }
  129. }
  130. layer {
  131. name: "pool2/3x3_s2"
  132. type: "Pooling"
  133. bottom: "conv2/norm2"
  134. top: "pool2/3x3_s2"
  135. pooling_param {
  136. pool: MAX
  137. kernel_size: 3
  138. stride: 2
  139. }
  140. }
  141. layer {
  142. name: "inception_3a/1x1"
  143. type: "Convolution"
  144. bottom: "pool2/3x3_s2"
  145. top: "inception_3a/1x1"
  146. convolution_param {
  147. num_output: 64
  148. kernel_size: 1
  149. }
  150. }
  151. layer {
  152. name: "inception_3a/relu_1x1"
  153. type: "ReLU"
  154. bottom: "inception_3a/1x1"
  155. top: "inception_3a/1x1"
  156. }
  157. layer {
  158. name: "inception_3a/3x3_reduce"
  159. type: "Convolution"
  160. bottom: "pool2/3x3_s2"
  161. top: "inception_3a/3x3_reduce"
  162. convolution_param {
  163. num_output: 96
  164. kernel_size: 1
  165. }
  166. }
  167. layer {
  168. name: "inception_3a/relu_3x3_reduce"
  169. type: "ReLU"
  170. bottom: "inception_3a/3x3_reduce"
  171. top: "inception_3a/3x3_reduce"
  172. }
  173. layer {
  174. name: "inception_3a/3x3"
  175. type: "Convolution"
  176. bottom: "inception_3a/3x3_reduce"
  177. top: "inception_3a/3x3"
  178. convolution_param {
  179. num_output: 128
  180. pad: 1
  181. kernel_size: 3
  182. }
  183. }
  184. layer {
  185. name: "inception_3a/relu_3x3"
  186. type: "ReLU"
  187. bottom: "inception_3a/3x3"
  188. top: "inception_3a/3x3"
  189. }
  190. layer {
  191. name: "inception_3a/5x5_reduce"
  192. type: "Convolution"
  193. bottom: "pool2/3x3_s2"
  194. top: "inception_3a/5x5_reduce"
  195. convolution_param {
  196. num_output: 16
  197. kernel_size: 1
  198. }
  199. }
  200. layer {
  201. name: "inception_3a/relu_5x5_reduce"
  202. type: "ReLU"
  203. bottom: "inception_3a/5x5_reduce"
  204. top: "inception_3a/5x5_reduce"
  205. }
  206. layer {
  207. name: "inception_3a/5x5"
  208. type: "Convolution"
  209. bottom: "inception_3a/5x5_reduce"
  210. top: "inception_3a/5x5"
  211. convolution_param {
  212. num_output: 32
  213. pad: 2
  214. kernel_size: 5
  215. }
  216. }
  217. layer {
  218. name: "inception_3a/relu_5x5"
  219. type: "ReLU"
  220. bottom: "inception_3a/5x5"
  221. top: "inception_3a/5x5"
  222. }
  223. layer {
  224. name: "inception_3a/pool"
  225. type: "Pooling"
  226. bottom: "pool2/3x3_s2"
  227. top: "inception_3a/pool"
  228. pooling_param {
  229. pool: MAX
  230. kernel_size: 3
  231. stride: 1
  232. pad: 1
  233. }
  234. }
  235. layer {
  236. name: "inception_3a/pool_proj"
  237. type: "Convolution"
  238. bottom: "inception_3a/pool"
  239. top: "inception_3a/pool_proj"
  240. convolution_param {
  241. num_output: 32
  242. kernel_size: 1
  243. }
  244. }
  245. layer {
  246. name: "inception_3a/relu_pool_proj"
  247. type: "ReLU"
  248. bottom: "inception_3a/pool_proj"
  249. top: "inception_3a/pool_proj"
  250. }
  251. layer {
  252. name: "inception_3a/output"
  253. type: "Concat"
  254. bottom: "inception_3a/1x1"
  255. bottom: "inception_3a/3x3"
  256. bottom: "inception_3a/5x5"
  257. bottom: "inception_3a/pool_proj"
  258. top: "inception_3a/output"
  259. }
  260. layer {
  261. name: "inception_3b/1x1"
  262. type: "Convolution"
  263. bottom: "inception_3a/output"
  264. top: "inception_3b/1x1"
  265. convolution_param {
  266. num_output: 128
  267. kernel_size: 1
  268. }
  269. }
  270. layer {
  271. name: "inception_3b/relu_1x1"
  272. type: "ReLU"
  273. bottom: "inception_3b/1x1"
  274. top: "inception_3b/1x1"
  275. }
  276. layer {
  277. name: "inception_3b/3x3_reduce"
  278. type: "Convolution"
  279. bottom: "inception_3a/output"
  280. top: "inception_3b/3x3_reduce"
  281. convolution_param {
  282. num_output: 128
  283. kernel_size: 1
  284. }
  285. }
  286. layer {
  287. name: "inception_3b/relu_3x3_reduce"
  288. type: "ReLU"
  289. bottom: "inception_3b/3x3_reduce"
  290. top: "inception_3b/3x3_reduce"
  291. }
  292. layer {
  293. name: "inception_3b/3x3"
  294. type: "Convolution"
  295. bottom: "inception_3b/3x3_reduce"
  296. top: "inception_3b/3x3"
  297. convolution_param {
  298. num_output: 192
  299. pad: 1
  300. kernel_size: 3
  301. }
  302. }
  303. layer {
  304. name: "inception_3b/relu_3x3"
  305. type: "ReLU"
  306. bottom: "inception_3b/3x3"
  307. top: "inception_3b/3x3"
  308. }
  309. layer {
  310. name: "inception_3b/5x5_reduce"
  311. type: "Convolution"
  312. bottom: "inception_3a/output"
  313. top: "inception_3b/5x5_reduce"
  314. convolution_param {
  315. num_output: 32
  316. kernel_size: 1
  317. }
  318. }
  319. layer {
  320. name: "inception_3b/relu_5x5_reduce"
  321. type: "ReLU"
  322. bottom: "inception_3b/5x5_reduce"
  323. top: "inception_3b/5x5_reduce"
  324. }
  325. layer {
  326. name: "inception_3b/5x5"
  327. type: "Convolution"
  328. bottom: "inception_3b/5x5_reduce"
  329. top: "inception_3b/5x5"
  330. convolution_param {
  331. num_output: 96
  332. pad: 2
  333. kernel_size: 5
  334. }
  335. }
  336. layer {
  337. name: "inception_3b/relu_5x5"
  338. type: "ReLU"
  339. bottom: "inception_3b/5x5"
  340. top: "inception_3b/5x5"
  341. }
  342. layer {
  343. name: "inception_3b/pool"
  344. type: "Pooling"
  345. bottom: "inception_3a/output"
  346. top: "inception_3b/pool"
  347. pooling_param {
  348. pool: MAX
  349. kernel_size: 3
  350. stride: 1
  351. pad: 1
  352. }
  353. }
  354. layer {
  355. name: "inception_3b/pool_proj"
  356. type: "Convolution"
  357. bottom: "inception_3b/pool"
  358. top: "inception_3b/pool_proj"
  359. convolution_param {
  360. num_output: 64
  361. kernel_size: 1
  362. }
  363. }
  364. layer {
  365. name: "inception_3b/relu_pool_proj"
  366. type: "ReLU"
  367. bottom: "inception_3b/pool_proj"
  368. top: "inception_3b/pool_proj"
  369. }
  370. layer {
  371. name: "inception_3b/output"
  372. type: "Concat"
  373. bottom: "inception_3b/1x1"
  374. bottom: "inception_3b/3x3"
  375. bottom: "inception_3b/5x5"
  376. bottom: "inception_3b/pool_proj"
  377. top: "inception_3b/output"
  378. }
  379. layer {
  380. name: "pool3/3x3_s2"
  381. type: "Pooling"
  382. bottom: "inception_3b/output"
  383. top: "pool3/3x3_s2"
  384. pooling_param {
  385. pool: MAX
  386. kernel_size: 3
  387. stride: 2
  388. }
  389. }
  390. layer {
  391. name: "inception_4a/1x1"
  392. type: "Convolution"
  393. bottom: "pool3/3x3_s2"
  394. top: "inception_4a/1x1"
  395. convolution_param {
  396. num_output: 192
  397. kernel_size: 1
  398. }
  399. }
  400. layer {
  401. name: "inception_4a/relu_1x1"
  402. type: "ReLU"
  403. bottom: "inception_4a/1x1"
  404. top: "inception_4a/1x1"
  405. }
  406. layer {
  407. name: "inception_4a/3x3_reduce"
  408. type: "Convolution"
  409. bottom: "pool3/3x3_s2"
  410. top: "inception_4a/3x3_reduce"
  411. convolution_param {
  412. num_output: 96
  413. kernel_size: 1
  414. }
  415. }
  416. layer {
  417. name: "inception_4a/relu_3x3_reduce"
  418. type: "ReLU"
  419. bottom: "inception_4a/3x3_reduce"
  420. top: "inception_4a/3x3_reduce"
  421. }
  422. layer {
  423. name: "inception_4a/3x3"
  424. type: "Convolution"
  425. bottom: "inception_4a/3x3_reduce"
  426. top: "inception_4a/3x3"
  427. convolution_param {
  428. num_output: 208
  429. pad: 1
  430. kernel_size: 3
  431. }
  432. }
  433. layer {
  434. name: "inception_4a/relu_3x3"
  435. type: "ReLU"
  436. bottom: "inception_4a/3x3"
  437. top: "inception_4a/3x3"
  438. }
  439. layer {
  440. name: "inception_4a/5x5_reduce"
  441. type: "Convolution"
  442. bottom: "pool3/3x3_s2"
  443. top: "inception_4a/5x5_reduce"
  444. convolution_param {
  445. num_output: 16
  446. kernel_size: 1
  447. }
  448. }
  449. layer {
  450. name: "inception_4a/relu_5x5_reduce"
  451. type: "ReLU"
  452. bottom: "inception_4a/5x5_reduce"
  453. top: "inception_4a/5x5_reduce"
  454. }
  455. layer {
  456. name: "inception_4a/5x5"
  457. type: "Convolution"
  458. bottom: "inception_4a/5x5_reduce"
  459. top: "inception_4a/5x5"
  460. convolution_param {
  461. num_output: 48
  462. pad: 2
  463. kernel_size: 5
  464. }
  465. }
  466. layer {
  467. name: "inception_4a/relu_5x5"
  468. type: "ReLU"
  469. bottom: "inception_4a/5x5"
  470. top: "inception_4a/5x5"
  471. }
  472. layer {
  473. name: "inception_4a/pool"
  474. type: "Pooling"
  475. bottom: "pool3/3x3_s2"
  476. top: "inception_4a/pool"
  477. pooling_param {
  478. pool: MAX
  479. kernel_size: 3
  480. stride: 1
  481. pad: 1
  482. }
  483. }
  484. layer {
  485. name: "inception_4a/pool_proj"
  486. type: "Convolution"
  487. bottom: "inception_4a/pool"
  488. top: "inception_4a/pool_proj"
  489. convolution_param {
  490. num_output: 64
  491. kernel_size: 1
  492. }
  493. }
  494. layer {
  495. name: "inception_4a/relu_pool_proj"
  496. type: "ReLU"
  497. bottom: "inception_4a/pool_proj"
  498. top: "inception_4a/pool_proj"
  499. }
  500. layer {
  501. name: "inception_4a/output"
  502. type: "Concat"
  503. bottom: "inception_4a/1x1"
  504. bottom: "inception_4a/3x3"
  505. bottom: "inception_4a/5x5"
  506. bottom: "inception_4a/pool_proj"
  507. top: "inception_4a/output"
  508. }
  509. layer {
  510. name: "inception_4b/1x1"
  511. type: "Convolution"
  512. bottom: "inception_4a/output"
  513. top: "inception_4b/1x1"
  514. convolution_param {
  515. num_output: 160
  516. kernel_size: 1
  517. }
  518. }
  519. layer {
  520. name: "inception_4b/relu_1x1"
  521. type: "ReLU"
  522. bottom: "inception_4b/1x1"
  523. top: "inception_4b/1x1"
  524. }
  525. layer {
  526. name: "inception_4b/3x3_reduce"
  527. type: "Convolution"
  528. bottom: "inception_4a/output"
  529. top: "inception_4b/3x3_reduce"
  530. convolution_param {
  531. num_output: 112
  532. kernel_size: 1
  533. }
  534. }
  535. layer {
  536. name: "inception_4b/relu_3x3_reduce"
  537. type: "ReLU"
  538. bottom: "inception_4b/3x3_reduce"
  539. top: "inception_4b/3x3_reduce"
  540. }
  541. layer {
  542. name: "inception_4b/3x3"
  543. type: "Convolution"
  544. bottom: "inception_4b/3x3_reduce"
  545. top: "inception_4b/3x3"
  546. convolution_param {
  547. num_output: 224
  548. pad: 1
  549. kernel_size: 3
  550. }
  551. }
  552. layer {
  553. name: "inception_4b/relu_3x3"
  554. type: "ReLU"
  555. bottom: "inception_4b/3x3"
  556. top: "inception_4b/3x3"
  557. }
  558. layer {
  559. name: "inception_4b/5x5_reduce"
  560. type: "Convolution"
  561. bottom: "inception_4a/output"
  562. top: "inception_4b/5x5_reduce"
  563. convolution_param {
  564. num_output: 24
  565. kernel_size: 1
  566. }
  567. }
  568. layer {
  569. name: "inception_4b/relu_5x5_reduce"
  570. type: "ReLU"
  571. bottom: "inception_4b/5x5_reduce"
  572. top: "inception_4b/5x5_reduce"
  573. }
  574. layer {
  575. name: "inception_4b/5x5"
  576. type: "Convolution"
  577. bottom: "inception_4b/5x5_reduce"
  578. top: "inception_4b/5x5"
  579. convolution_param {
  580. num_output: 64
  581. pad: 2
  582. kernel_size: 5
  583. }
  584. }
  585. layer {
  586. name: "inception_4b/relu_5x5"
  587. type: "ReLU"
  588. bottom: "inception_4b/5x5"
  589. top: "inception_4b/5x5"
  590. }
  591. layer {
  592. name: "inception_4b/pool"
  593. type: "Pooling"
  594. bottom: "inception_4a/output"
  595. top: "inception_4b/pool"
  596. pooling_param {
  597. pool: MAX
  598. kernel_size: 3
  599. stride: 1
  600. pad: 1
  601. }
  602. }
  603. layer {
  604. name: "inception_4b/pool_proj"
  605. type: "Convolution"
  606. bottom: "inception_4b/pool"
  607. top: "inception_4b/pool_proj"
  608. convolution_param {
  609. num_output: 64
  610. kernel_size: 1
  611. }
  612. }
  613. layer {
  614. name: "inception_4b/relu_pool_proj"
  615. type: "ReLU"
  616. bottom: "inception_4b/pool_proj"
  617. top: "inception_4b/pool_proj"
  618. }
  619. layer {
  620. name: "inception_4b/output"
  621. type: "Concat"
  622. bottom: "inception_4b/1x1"
  623. bottom: "inception_4b/3x3"
  624. bottom: "inception_4b/5x5"
  625. bottom: "inception_4b/pool_proj"
  626. top: "inception_4b/output"
  627. }
  628. layer {
  629. name: "inception_4c/1x1"
  630. type: "Convolution"
  631. bottom: "inception_4b/output"
  632. top: "inception_4c/1x1"
  633. convolution_param {
  634. num_output: 128
  635. kernel_size: 1
  636. }
  637. }
  638. layer {
  639. name: "inception_4c/relu_1x1"
  640. type: "ReLU"
  641. bottom: "inception_4c/1x1"
  642. top: "inception_4c/1x1"
  643. }
  644. layer {
  645. name: "inception_4c/3x3_reduce"
  646. type: "Convolution"
  647. bottom: "inception_4b/output"
  648. top: "inception_4c/3x3_reduce"
  649. convolution_param {
  650. num_output: 128
  651. kernel_size: 1
  652. }
  653. }
  654. layer {
  655. name: "inception_4c/relu_3x3_reduce"
  656. type: "ReLU"
  657. bottom: "inception_4c/3x3_reduce"
  658. top: "inception_4c/3x3_reduce"
  659. }
  660. layer {
  661. name: "inception_4c/3x3"
  662. type: "Convolution"
  663. bottom: "inception_4c/3x3_reduce"
  664. top: "inception_4c/3x3"
  665. convolution_param {
  666. num_output: 256
  667. pad: 1
  668. kernel_size: 3
  669. }
  670. }
  671. layer {
  672. name: "inception_4c/relu_3x3"
  673. type: "ReLU"
  674. bottom: "inception_4c/3x3"
  675. top: "inception_4c/3x3"
  676. }
  677. layer {
  678. name: "inception_4c/5x5_reduce"
  679. type: "Convolution"
  680. bottom: "inception_4b/output"
  681. top: "inception_4c/5x5_reduce"
  682. convolution_param {
  683. num_output: 24
  684. kernel_size: 1
  685. }
  686. }
  687. layer {
  688. name: "inception_4c/relu_5x5_reduce"
  689. type: "ReLU"
  690. bottom: "inception_4c/5x5_reduce"
  691. top: "inception_4c/5x5_reduce"
  692. }
  693. layer {
  694. name: "inception_4c/5x5"
  695. type: "Convolution"
  696. bottom: "inception_4c/5x5_reduce"
  697. top: "inception_4c/5x5"
  698. convolution_param {
  699. num_output: 64
  700. pad: 2
  701. kernel_size: 5
  702. }
  703. }
  704. layer {
  705. name: "inception_4c/relu_5x5"
  706. type: "ReLU"
  707. bottom: "inception_4c/5x5"
  708. top: "inception_4c/5x5"
  709. }
  710. layer {
  711. name: "inception_4c/pool"
  712. type: "Pooling"
  713. bottom: "inception_4b/output"
  714. top: "inception_4c/pool"
  715. pooling_param {
  716. pool: MAX
  717. kernel_size: 3
  718. stride: 1
  719. pad: 1
  720. }
  721. }
  722. layer {
  723. name: "inception_4c/pool_proj"
  724. type: "Convolution"
  725. bottom: "inception_4c/pool"
  726. top: "inception_4c/pool_proj"
  727. convolution_param {
  728. num_output: 64
  729. kernel_size: 1
  730. }
  731. }
  732. layer {
  733. name: "inception_4c/relu_pool_proj"
  734. type: "ReLU"
  735. bottom: "inception_4c/pool_proj"
  736. top: "inception_4c/pool_proj"
  737. }
  738. layer {
  739. name: "inception_4c/output"
  740. type: "Concat"
  741. bottom: "inception_4c/1x1"
  742. bottom: "inception_4c/3x3"
  743. bottom: "inception_4c/5x5"
  744. bottom: "inception_4c/pool_proj"
  745. top: "inception_4c/output"
  746. }
  747. layer {
  748. name: "inception_4d/1x1"
  749. type: "Convolution"
  750. bottom: "inception_4c/output"
  751. top: "inception_4d/1x1"
  752. convolution_param {
  753. num_output: 112
  754. kernel_size: 1
  755. }
  756. }
  757. layer {
  758. name: "inception_4d/relu_1x1"
  759. type: "ReLU"
  760. bottom: "inception_4d/1x1"
  761. top: "inception_4d/1x1"
  762. }
  763. layer {
  764. name: "inception_4d/3x3_reduce"
  765. type: "Convolution"
  766. bottom: "inception_4c/output"
  767. top: "inception_4d/3x3_reduce"
  768. convolution_param {
  769. num_output: 144
  770. kernel_size: 1
  771. }
  772. }
  773. layer {
  774. name: "inception_4d/relu_3x3_reduce"
  775. type: "ReLU"
  776. bottom: "inception_4d/3x3_reduce"
  777. top: "inception_4d/3x3_reduce"
  778. }
  779. layer {
  780. name: "inception_4d/3x3"
  781. type: "Convolution"
  782. bottom: "inception_4d/3x3_reduce"
  783. top: "inception_4d/3x3"
  784. convolution_param {
  785. num_output: 288
  786. pad: 1
  787. kernel_size: 3
  788. }
  789. }
  790. layer {
  791. name: "inception_4d/relu_3x3"
  792. type: "ReLU"
  793. bottom: "inception_4d/3x3"
  794. top: "inception_4d/3x3"
  795. }
  796. layer {
  797. name: "inception_4d/5x5_reduce"
  798. type: "Convolution"
  799. bottom: "inception_4c/output"
  800. top: "inception_4d/5x5_reduce"
  801. convolution_param {
  802. num_output: 32
  803. kernel_size: 1
  804. }
  805. }
  806. layer {
  807. name: "inception_4d/relu_5x5_reduce"
  808. type: "ReLU"
  809. bottom: "inception_4d/5x5_reduce"
  810. top: "inception_4d/5x5_reduce"
  811. }
  812. layer {
  813. name: "inception_4d/5x5"
  814. type: "Convolution"
  815. bottom: "inception_4d/5x5_reduce"
  816. top: "inception_4d/5x5"
  817. convolution_param {
  818. num_output: 64
  819. pad: 2
  820. kernel_size: 5
  821. }
  822. }
  823. layer {
  824. name: "inception_4d/relu_5x5"
  825. type: "ReLU"
  826. bottom: "inception_4d/5x5"
  827. top: "inception_4d/5x5"
  828. }
  829. layer {
  830. name: "inception_4d/pool"
  831. type: "Pooling"
  832. bottom: "inception_4c/output"
  833. top: "inception_4d/pool"
  834. pooling_param {
  835. pool: MAX
  836. kernel_size: 3
  837. stride: 1
  838. pad: 1
  839. }
  840. }
  841. layer {
  842. name: "inception_4d/pool_proj"
  843. type: "Convolution"
  844. bottom: "inception_4d/pool"
  845. top: "inception_4d/pool_proj"
  846. convolution_param {
  847. num_output: 64
  848. kernel_size: 1
  849. }
  850. }
  851. layer {
  852. name: "inception_4d/relu_pool_proj"
  853. type: "ReLU"
  854. bottom: "inception_4d/pool_proj"
  855. top: "inception_4d/pool_proj"
  856. }
  857. layer {
  858. name: "inception_4d/output"
  859. type: "Concat"
  860. bottom: "inception_4d/1x1"
  861. bottom: "inception_4d/3x3"
  862. bottom: "inception_4d/5x5"
  863. bottom: "inception_4d/pool_proj"
  864. top: "inception_4d/output"
  865. }
  866. layer {
  867. name: "inception_4e/1x1"
  868. type: "Convolution"
  869. bottom: "inception_4d/output"
  870. top: "inception_4e/1x1"
  871. convolution_param {
  872. num_output: 256
  873. kernel_size: 1
  874. }
  875. }
  876. layer {
  877. name: "inception_4e/relu_1x1"
  878. type: "ReLU"
  879. bottom: "inception_4e/1x1"
  880. top: "inception_4e/1x1"
  881. }
  882. layer {
  883. name: "inception_4e/3x3_reduce"
  884. type: "Convolution"
  885. bottom: "inception_4d/output"
  886. top: "inception_4e/3x3_reduce"
  887. convolution_param {
  888. num_output: 160
  889. kernel_size: 1
  890. }
  891. }
  892. layer {
  893. name: "inception_4e/relu_3x3_reduce"
  894. type: "ReLU"
  895. bottom: "inception_4e/3x3_reduce"
  896. top: "inception_4e/3x3_reduce"
  897. }
  898. layer {
  899. name: "inception_4e/3x3"
  900. type: "Convolution"
  901. bottom: "inception_4e/3x3_reduce"
  902. top: "inception_4e/3x3"
  903. convolution_param {
  904. num_output: 320
  905. pad: 1
  906. kernel_size: 3
  907. }
  908. }
  909. layer {
  910. name: "inception_4e/relu_3x3"
  911. type: "ReLU"
  912. bottom: "inception_4e/3x3"
  913. top: "inception_4e/3x3"
  914. }
  915. layer {
  916. name: "inception_4e/5x5_reduce"
  917. type: "Convolution"
  918. bottom: "inception_4d/output"
  919. top: "inception_4e/5x5_reduce"
  920. convolution_param {
  921. num_output: 32
  922. kernel_size: 1
  923. }
  924. }
  925. layer {
  926. name: "inception_4e/relu_5x5_reduce"
  927. type: "ReLU"
  928. bottom: "inception_4e/5x5_reduce"
  929. top: "inception_4e/5x5_reduce"
  930. }
  931. layer {
  932. name: "inception_4e/5x5"
  933. type: "Convolution"
  934. bottom: "inception_4e/5x5_reduce"
  935. top: "inception_4e/5x5"
  936. convolution_param {
  937. num_output: 128
  938. pad: 2
  939. kernel_size: 5
  940. }
  941. }
  942. layer {
  943. name: "inception_4e/relu_5x5"
  944. type: "ReLU"
  945. bottom: "inception_4e/5x5"
  946. top: "inception_4e/5x5"
  947. }
  948. layer {
  949. name: "inception_4e/pool"
  950. type: "Pooling"
  951. bottom: "inception_4d/output"
  952. top: "inception_4e/pool"
  953. pooling_param {
  954. pool: MAX
  955. kernel_size: 3
  956. stride: 1
  957. pad: 1
  958. }
  959. }
  960. layer {
  961. name: "inception_4e/pool_proj"
  962. type: "Convolution"
  963. bottom: "inception_4e/pool"
  964. top: "inception_4e/pool_proj"
  965. convolution_param {
  966. num_output: 128
  967. kernel_size: 1
  968. }
  969. }
  970. layer {
  971. name: "inception_4e/relu_pool_proj"
  972. type: "ReLU"
  973. bottom: "inception_4e/pool_proj"
  974. top: "inception_4e/pool_proj"
  975. }
  976. layer {
  977. name: "inception_4e/output"
  978. type: "Concat"
  979. bottom: "inception_4e/1x1"
  980. bottom: "inception_4e/3x3"
  981. bottom: "inception_4e/5x5"
  982. bottom: "inception_4e/pool_proj"
  983. top: "inception_4e/output"
  984. }
  985. layer {
  986. name: "inception_5a/1x1"
  987. type: "Convolution"
  988. bottom: "inception_4e/output"
  989. top: "inception_5a/1x1"
  990. convolution_param {
  991. num_output: 256
  992. kernel_size: 1
  993. }
  994. }
  995. layer {
  996. name: "inception_5a/relu_1x1"
  997. type: "ReLU"
  998. bottom: "inception_5a/1x1"
  999. top: "inception_5a/1x1"
  1000. }
  1001. layer {
  1002. name: "inception_5a/3x3_reduce"
  1003. type: "Convolution"
  1004. bottom: "inception_4e/output"
  1005. top: "inception_5a/3x3_reduce"
  1006. convolution_param {
  1007. num_output: 160
  1008. kernel_size: 1
  1009. }
  1010. }
  1011. layer {
  1012. name: "inception_5a/relu_3x3_reduce"
  1013. type: "ReLU"
  1014. bottom: "inception_5a/3x3_reduce"
  1015. top: "inception_5a/3x3_reduce"
  1016. }
  1017. layer {
  1018. name: "inception_5a/3x3"
  1019. type: "Convolution"
  1020. bottom: "inception_5a/3x3_reduce"
  1021. top: "inception_5a/3x3"
  1022. convolution_param {
  1023. num_output: 320
  1024. pad: 1
  1025. kernel_size: 3
  1026. }
  1027. }
  1028. layer {
  1029. name: "inception_5a/relu_3x3"
  1030. type: "ReLU"
  1031. bottom: "inception_5a/3x3"
  1032. top: "inception_5a/3x3"
  1033. }
  1034. layer {
  1035. name: "inception_5a/5x5_reduce"
  1036. type: "Convolution"
  1037. bottom: "inception_4e/output"
  1038. top: "inception_5a/5x5_reduce"
  1039. convolution_param {
  1040. num_output: 32
  1041. kernel_size: 1
  1042. }
  1043. }
  1044. layer {
  1045. name: "inception_5a/relu_5x5_reduce"
  1046. type: "ReLU"
  1047. bottom: "inception_5a/5x5_reduce"
  1048. top: "inception_5a/5x5_reduce"
  1049. }
  1050. layer {
  1051. name: "inception_5a/5x5"
  1052. type: "Convolution"
  1053. bottom: "inception_5a/5x5_reduce"
  1054. top: "inception_5a/5x5"
  1055. convolution_param {
  1056. num_output: 128
  1057. pad: 2
  1058. kernel_size: 5
  1059. }
  1060. }
  1061. layer {
  1062. name: "inception_5a/relu_5x5"
  1063. type: "ReLU"
  1064. bottom: "inception_5a/5x5"
  1065. top: "inception_5a/5x5"
  1066. }
  1067. layer {
  1068. name: "inception_5a/pool"
  1069. type: "Pooling"
  1070. bottom: "inception_4e/output"
  1071. top: "inception_5a/pool"
  1072. pooling_param {
  1073. pool: MAX
  1074. kernel_size: 3
  1075. stride: 1
  1076. pad: 1
  1077. }
  1078. }
  1079. layer {
  1080. name: "inception_5a/pool_proj"
  1081. type: "Convolution"
  1082. bottom: "inception_5a/pool"
  1083. top: "inception_5a/pool_proj"
  1084. convolution_param {
  1085. num_output: 128
  1086. kernel_size: 1
  1087. }
  1088. }
  1089. layer {
  1090. name: "inception_5a/relu_pool_proj"
  1091. type: "ReLU"
  1092. bottom: "inception_5a/pool_proj"
  1093. top: "inception_5a/pool_proj"
  1094. }
  1095. layer {
  1096. name: "inception_5a/output"
  1097. type: "Concat"
  1098. bottom: "inception_5a/1x1"
  1099. bottom: "inception_5a/3x3"
  1100. bottom: "inception_5a/5x5"
  1101. bottom: "inception_5a/pool_proj"
  1102. top: "inception_5a/output"
  1103. }
  1104. layer {
  1105. name: "inception_5b/1x1"
  1106. type: "Convolution"
  1107. bottom: "inception_5a/output"
  1108. top: "inception_5b/1x1"
  1109. convolution_param {
  1110. num_output: 384
  1111. kernel_size: 1
  1112. }
  1113. }
  1114. layer {
  1115. name: "inception_5b/relu_1x1"
  1116. type: "ReLU"
  1117. bottom: "inception_5b/1x1"
  1118. top: "inception_5b/1x1"
  1119. }
  1120. layer {
  1121. name: "inception_5b/3x3_reduce"
  1122. type: "Convolution"
  1123. bottom: "inception_5a/output"
  1124. top: "inception_5b/3x3_reduce"
  1125. convolution_param {
  1126. num_output: 192
  1127. kernel_size: 1
  1128. }
  1129. }
  1130. layer {
  1131. name: "inception_5b/relu_3x3_reduce"
  1132. type: "ReLU"
  1133. bottom: "inception_5b/3x3_reduce"
  1134. top: "inception_5b/3x3_reduce"
  1135. }
  1136. layer {
  1137. name: "inception_5b/3x3"
  1138. type: "Convolution"
  1139. bottom: "inception_5b/3x3_reduce"
  1140. top: "inception_5b/3x3"
  1141. convolution_param {
  1142. num_output: 384
  1143. pad: 1
  1144. kernel_size: 3
  1145. }
  1146. }
  1147. layer {
  1148. name: "inception_5b/relu_3x3"
  1149. type: "ReLU"
  1150. bottom: "inception_5b/3x3"
  1151. top: "inception_5b/3x3"
  1152. }
  1153. layer {
  1154. name: "inception_5b/5x5_reduce"
  1155. type: "Convolution"
  1156. bottom: "inception_5a/output"
  1157. top: "inception_5b/5x5_reduce"
  1158. convolution_param {
  1159. num_output: 48
  1160. kernel_size: 1
  1161. }
  1162. }
  1163. layer {
  1164. name: "inception_5b/relu_5x5_reduce"
  1165. type: "ReLU"
  1166. bottom: "inception_5b/5x5_reduce"
  1167. top: "inception_5b/5x5_reduce"
  1168. }
  1169. layer {
  1170. name: "inception_5b/5x5"
  1171. type: "Convolution"
  1172. bottom: "inception_5b/5x5_reduce"
  1173. top: "inception_5b/5x5"
  1174. convolution_param {
  1175. num_output: 128
  1176. pad: 2
  1177. kernel_size: 5
  1178. }
  1179. }
  1180. layer {
  1181. name: "inception_5b/relu_5x5"
  1182. type: "ReLU"
  1183. bottom: "inception_5b/5x5"
  1184. top: "inception_5b/5x5"
  1185. }
  1186. layer {
  1187. name: "inception_5b/pool"
  1188. type: "Pooling"
  1189. bottom: "inception_5a/output"
  1190. top: "inception_5b/pool"
  1191. pooling_param {
  1192. pool: MAX
  1193. kernel_size: 3
  1194. stride: 1
  1195. pad: 1
  1196. }
  1197. }
  1198. layer {
  1199. name: "inception_5b/pool_proj"
  1200. type: "Convolution"
  1201. bottom: "inception_5b/pool"
  1202. top: "inception_5b/pool_proj"
  1203. convolution_param {
  1204. num_output: 128
  1205. kernel_size: 1
  1206. }
  1207. }
  1208. layer {
  1209. name: "inception_5b/relu_pool_proj"
  1210. type: "ReLU"
  1211. bottom: "inception_5b/pool_proj"
  1212. top: "inception_5b/pool_proj"
  1213. }
  1214. layer {
  1215. name: "inception_5b/output"
  1216. type: "Concat"
  1217. bottom: "inception_5b/1x1"
  1218. bottom: "inception_5b/3x3"
  1219. bottom: "inception_5b/5x5"
  1220. bottom: "inception_5b/pool_proj"
  1221. top: "inception_5b/output"
  1222. }
  1223. layer {
  1224. name: "pool5/drop_7x7_s1"
  1225. type: "Dropout"
  1226. bottom: "inception_5b/output"
  1227. top: "pool5/7x7_s1"
  1228. dropout_param {
  1229. dropout_ratio: 0.4
  1230. }
  1231. }
  1232. layer {
  1233. name: "loss3/classifier/19c"
  1234. type: "Convolution"
  1235. bottom: "pool5/7x7_s1"
  1236. top: "loss3/classifier"
  1237. convolution_param {
  1238. num_output: 19
  1239. kernel_size: 1
  1240. }
  1241. }
  1242.  
  1243.  
  1244. layer {
  1245. name: "upscore2"
  1246. type: "Deconvolution"
  1247. bottom: "loss3/classifier"
  1248. top: "upscore2"
  1249. convolution_param {
  1250. num_output: 19
  1251. bias_term: false
  1252. kernel_size: 4
  1253. stride: 2
  1254. pad: 1
  1255. }
  1256. }
  1257. layer {
  1258. name: "score-pool3"
  1259. type: "Convolution"
  1260. bottom: "inception_3b/output"
  1261. top: "score-pool3"
  1262. convolution_param {
  1263. num_output: 19
  1264. kernel_size: 1
  1265. engine: CAFFE
  1266. }
  1267. }
  1268. layer {
  1269. name: "fuse"
  1270. type: "Eltwise"
  1271. bottom: "upscore2"
  1272. bottom: "score-pool3"
  1273. top: "score-fused"
  1274. eltwise_param {
  1275. operation: SUM
  1276. }
  1277. }
  1278. layer {
  1279. type: 'Softmax'
  1280. name: 'prob'
  1281. bottom: 'score-fused'
  1282. top: 'prob'
  1283. softmax_param {
  1284. engine: CAFFE
  1285. }
  1286. }
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