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resnet152.cfg 15 KB

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  1. [net]
  2. # Training
  3. # batch=128
  4. # subdivisions=8
  5. # Testing
  6. batch=1
  7. subdivisions=1
  8. height=256
  9. width=256
  10. max_crop=448
  11. channels=3
  12. momentum=0.9
  13. decay=0.0005
  14. burn_in=1000
  15. learning_rate=0.1
  16. policy=poly
  17. power=4
  18. max_batches=1600000
  19. angle=7
  20. hue=.1
  21. saturation=.75
  22. exposure=.75
  23. aspect=.75
  24. [convolutional]
  25. batch_normalize=1
  26. filters=64
  27. size=7
  28. stride=2
  29. pad=1
  30. activation=leaky
  31. [maxpool]
  32. size=2
  33. stride=2
  34. [convolutional]
  35. batch_normalize=1
  36. filters=64
  37. size=1
  38. stride=1
  39. pad=1
  40. activation=leaky
  41. [convolutional]
  42. batch_normalize=1
  43. filters=64
  44. size=3
  45. stride=1
  46. pad=1
  47. activation=leaky
  48. [convolutional]
  49. batch_normalize=1
  50. filters=256
  51. size=1
  52. stride=1
  53. pad=1
  54. activation=linear
  55. [shortcut]
  56. from=-4
  57. activation=leaky
  58. [convolutional]
  59. batch_normalize=1
  60. filters=64
  61. size=1
  62. stride=1
  63. pad=1
  64. activation=leaky
  65. [convolutional]
  66. batch_normalize=1
  67. filters=64
  68. size=3
  69. stride=1
  70. pad=1
  71. activation=leaky
  72. [convolutional]
  73. batch_normalize=1
  74. filters=256
  75. size=1
  76. stride=1
  77. pad=1
  78. activation=linear
  79. [shortcut]
  80. from=-4
  81. activation=leaky
  82. [convolutional]
  83. batch_normalize=1
  84. filters=64
  85. size=1
  86. stride=1
  87. pad=1
  88. activation=leaky
  89. [convolutional]
  90. batch_normalize=1
  91. filters=64
  92. size=3
  93. stride=1
  94. pad=1
  95. activation=leaky
  96. [convolutional]
  97. batch_normalize=1
  98. filters=256
  99. size=1
  100. stride=1
  101. pad=1
  102. activation=linear
  103. [shortcut]
  104. from=-4
  105. activation=leaky
  106. [convolutional]
  107. batch_normalize=1
  108. filters=128
  109. size=1
  110. stride=1
  111. pad=1
  112. activation=leaky
  113. [convolutional]
  114. batch_normalize=1
  115. filters=128
  116. size=3
  117. stride=2
  118. pad=1
  119. activation=leaky
  120. [convolutional]
  121. batch_normalize=1
  122. filters=512
  123. size=1
  124. stride=1
  125. pad=1
  126. activation=linear
  127. [shortcut]
  128. from=-4
  129. activation=leaky
  130. [convolutional]
  131. batch_normalize=1
  132. filters=128
  133. size=1
  134. stride=1
  135. pad=1
  136. activation=leaky
  137. [convolutional]
  138. batch_normalize=1
  139. filters=128
  140. size=3
  141. stride=1
  142. pad=1
  143. activation=leaky
  144. [convolutional]
  145. batch_normalize=1
  146. filters=512
  147. size=1
  148. stride=1
  149. pad=1
  150. activation=linear
  151. [shortcut]
  152. from=-4
  153. activation=leaky
  154. [convolutional]
  155. batch_normalize=1
  156. filters=128
  157. size=1
  158. stride=1
  159. pad=1
  160. activation=leaky
  161. [convolutional]
  162. batch_normalize=1
  163. filters=128
  164. size=3
  165. stride=1
  166. pad=1
  167. activation=leaky
  168. [convolutional]
  169. batch_normalize=1
  170. filters=512
  171. size=1
  172. stride=1
  173. pad=1
  174. activation=linear
  175. [shortcut]
  176. from=-4
  177. activation=leaky
  178. [convolutional]
  179. batch_normalize=1
  180. filters=128
  181. size=1
  182. stride=1
  183. pad=1
  184. activation=leaky
  185. [convolutional]
  186. batch_normalize=1
  187. filters=128
  188. size=3
  189. stride=1
  190. pad=1
  191. activation=leaky
  192. [convolutional]
  193. batch_normalize=1
  194. filters=512
  195. size=1
  196. stride=1
  197. pad=1
  198. activation=linear
  199. [shortcut]
  200. from=-4
  201. activation=leaky
  202. [convolutional]
  203. batch_normalize=1
  204. filters=128
  205. size=1
  206. stride=1
  207. pad=1
  208. activation=leaky
  209. [convolutional]
  210. batch_normalize=1
  211. filters=128
  212. size=3
  213. stride=1
  214. pad=1
  215. activation=leaky
  216. [convolutional]
  217. batch_normalize=1
  218. filters=512
  219. size=1
  220. stride=1
  221. pad=1
  222. activation=linear
  223. [shortcut]
  224. from=-4
  225. activation=leaky
  226. [convolutional]
  227. batch_normalize=1
  228. filters=128
  229. size=1
  230. stride=1
  231. pad=1
  232. activation=leaky
  233. [convolutional]
  234. batch_normalize=1
  235. filters=128
  236. size=3
  237. stride=1
  238. pad=1
  239. activation=leaky
  240. [convolutional]
  241. batch_normalize=1
  242. filters=512
  243. size=1
  244. stride=1
  245. pad=1
  246. activation=linear
  247. [shortcut]
  248. from=-4
  249. activation=leaky
  250. [convolutional]
  251. batch_normalize=1
  252. filters=128
  253. size=1
  254. stride=1
  255. pad=1
  256. activation=leaky
  257. [convolutional]
  258. batch_normalize=1
  259. filters=128
  260. size=3
  261. stride=1
  262. pad=1
  263. activation=leaky
  264. [convolutional]
  265. batch_normalize=1
  266. filters=512
  267. size=1
  268. stride=1
  269. pad=1
  270. activation=linear
  271. [shortcut]
  272. from=-4
  273. activation=leaky
  274. [convolutional]
  275. batch_normalize=1
  276. filters=128
  277. size=1
  278. stride=1
  279. pad=1
  280. activation=leaky
  281. [convolutional]
  282. batch_normalize=1
  283. filters=128
  284. size=3
  285. stride=1
  286. pad=1
  287. activation=leaky
  288. [convolutional]
  289. batch_normalize=1
  290. filters=512
  291. size=1
  292. stride=1
  293. pad=1
  294. activation=linear
  295. [shortcut]
  296. from=-4
  297. activation=leaky
  298. # Conv 4
  299. [convolutional]
  300. batch_normalize=1
  301. filters=256
  302. size=1
  303. stride=1
  304. pad=1
  305. activation=leaky
  306. [convolutional]
  307. batch_normalize=1
  308. filters=256
  309. size=3
  310. stride=2
  311. pad=1
  312. activation=leaky
  313. [convolutional]
  314. batch_normalize=1
  315. filters=1024
  316. size=1
  317. stride=1
  318. pad=1
  319. activation=linear
  320. [shortcut]
  321. from=-4
  322. activation=leaky
  323. [convolutional]
  324. batch_normalize=1
  325. filters=256
  326. size=1
  327. stride=1
  328. pad=1
  329. activation=leaky
  330. [convolutional]
  331. batch_normalize=1
  332. filters=256
  333. size=3
  334. stride=1
  335. pad=1
  336. activation=leaky
  337. [convolutional]
  338. batch_normalize=1
  339. filters=1024
  340. size=1
  341. stride=1
  342. pad=1
  343. activation=linear
  344. [shortcut]
  345. from=-4
  346. activation=leaky
  347. [convolutional]
  348. batch_normalize=1
  349. filters=256
  350. size=1
  351. stride=1
  352. pad=1
  353. activation=leaky
  354. [convolutional]
  355. batch_normalize=1
  356. filters=256
  357. size=3
  358. stride=1
  359. pad=1
  360. activation=leaky
  361. [convolutional]
  362. batch_normalize=1
  363. filters=1024
  364. size=1
  365. stride=1
  366. pad=1
  367. activation=linear
  368. [shortcut]
  369. from=-4
  370. activation=leaky
  371. [convolutional]
  372. batch_normalize=1
  373. filters=256
  374. size=1
  375. stride=1
  376. pad=1
  377. activation=leaky
  378. [convolutional]
  379. batch_normalize=1
  380. filters=256
  381. size=3
  382. stride=1
  383. pad=1
  384. activation=leaky
  385. [convolutional]
  386. batch_normalize=1
  387. filters=1024
  388. size=1
  389. stride=1
  390. pad=1
  391. activation=linear
  392. [shortcut]
  393. from=-4
  394. activation=leaky
  395. [convolutional]
  396. batch_normalize=1
  397. filters=256
  398. size=1
  399. stride=1
  400. pad=1
  401. activation=leaky
  402. [convolutional]
  403. batch_normalize=1
  404. filters=256
  405. size=3
  406. stride=1
  407. pad=1
  408. activation=leaky
  409. [convolutional]
  410. batch_normalize=1
  411. filters=1024
  412. size=1
  413. stride=1
  414. pad=1
  415. activation=linear
  416. [shortcut]
  417. from=-4
  418. activation=leaky
  419. [convolutional]
  420. batch_normalize=1
  421. filters=256
  422. size=1
  423. stride=1
  424. pad=1
  425. activation=leaky
  426. [convolutional]
  427. batch_normalize=1
  428. filters=256
  429. size=3
  430. stride=1
  431. pad=1
  432. activation=leaky
  433. [convolutional]
  434. batch_normalize=1
  435. filters=1024
  436. size=1
  437. stride=1
  438. pad=1
  439. activation=linear
  440. [shortcut]
  441. from=-4
  442. activation=leaky
  443. [convolutional]
  444. batch_normalize=1
  445. filters=256
  446. size=1
  447. stride=1
  448. pad=1
  449. activation=leaky
  450. [convolutional]
  451. batch_normalize=1
  452. filters=256
  453. size=3
  454. stride=1
  455. pad=1
  456. activation=leaky
  457. [convolutional]
  458. batch_normalize=1
  459. filters=1024
  460. size=1
  461. stride=1
  462. pad=1
  463. activation=linear
  464. [shortcut]
  465. from=-4
  466. activation=leaky
  467. [convolutional]
  468. batch_normalize=1
  469. filters=256
  470. size=1
  471. stride=1
  472. pad=1
  473. activation=leaky
  474. [convolutional]
  475. batch_normalize=1
  476. filters=256
  477. size=3
  478. stride=1
  479. pad=1
  480. activation=leaky
  481. [convolutional]
  482. batch_normalize=1
  483. filters=1024
  484. size=1
  485. stride=1
  486. pad=1
  487. activation=linear
  488. [shortcut]
  489. from=-4
  490. activation=leaky
  491. [convolutional]
  492. batch_normalize=1
  493. filters=256
  494. size=1
  495. stride=1
  496. pad=1
  497. activation=leaky
  498. [convolutional]
  499. batch_normalize=1
  500. filters=256
  501. size=3
  502. stride=1
  503. pad=1
  504. activation=leaky
  505. [convolutional]
  506. batch_normalize=1
  507. filters=1024
  508. size=1
  509. stride=1
  510. pad=1
  511. activation=linear
  512. [shortcut]
  513. from=-4
  514. activation=leaky
  515. [convolutional]
  516. batch_normalize=1
  517. filters=256
  518. size=1
  519. stride=1
  520. pad=1
  521. activation=leaky
  522. [convolutional]
  523. batch_normalize=1
  524. filters=256
  525. size=3
  526. stride=1
  527. pad=1
  528. activation=leaky
  529. [convolutional]
  530. batch_normalize=1
  531. filters=1024
  532. size=1
  533. stride=1
  534. pad=1
  535. activation=linear
  536. [shortcut]
  537. from=-4
  538. activation=leaky
  539. [convolutional]
  540. batch_normalize=1
  541. filters=256
  542. size=1
  543. stride=1
  544. pad=1
  545. activation=leaky
  546. [convolutional]
  547. batch_normalize=1
  548. filters=256
  549. size=3
  550. stride=1
  551. pad=1
  552. activation=leaky
  553. [convolutional]
  554. batch_normalize=1
  555. filters=1024
  556. size=1
  557. stride=1
  558. pad=1
  559. activation=linear
  560. [shortcut]
  561. from=-4
  562. activation=leaky
  563. [convolutional]
  564. batch_normalize=1
  565. filters=256
  566. size=1
  567. stride=1
  568. pad=1
  569. activation=leaky
  570. [convolutional]
  571. batch_normalize=1
  572. filters=256
  573. size=3
  574. stride=1
  575. pad=1
  576. activation=leaky
  577. [convolutional]
  578. batch_normalize=1
  579. filters=1024
  580. size=1
  581. stride=1
  582. pad=1
  583. activation=linear
  584. [shortcut]
  585. from=-4
  586. activation=leaky
  587. [convolutional]
  588. batch_normalize=1
  589. filters=256
  590. size=1
  591. stride=1
  592. pad=1
  593. activation=leaky
  594. [convolutional]
  595. batch_normalize=1
  596. filters=256
  597. size=3
  598. stride=1
  599. pad=1
  600. activation=leaky
  601. [convolutional]
  602. batch_normalize=1
  603. filters=1024
  604. size=1
  605. stride=1
  606. pad=1
  607. activation=linear
  608. [shortcut]
  609. from=-4
  610. activation=leaky
  611. [convolutional]
  612. batch_normalize=1
  613. filters=256
  614. size=1
  615. stride=1
  616. pad=1
  617. activation=leaky
  618. [convolutional]
  619. batch_normalize=1
  620. filters=256
  621. size=3
  622. stride=1
  623. pad=1
  624. activation=leaky
  625. [convolutional]
  626. batch_normalize=1
  627. filters=1024
  628. size=1
  629. stride=1
  630. pad=1
  631. activation=linear
  632. [shortcut]
  633. from=-4
  634. activation=leaky
  635. [convolutional]
  636. batch_normalize=1
  637. filters=256
  638. size=1
  639. stride=1
  640. pad=1
  641. activation=leaky
  642. [convolutional]
  643. batch_normalize=1
  644. filters=256
  645. size=3
  646. stride=1
  647. pad=1
  648. activation=leaky
  649. [convolutional]
  650. batch_normalize=1
  651. filters=1024
  652. size=1
  653. stride=1
  654. pad=1
  655. activation=linear
  656. [shortcut]
  657. from=-4
  658. activation=leaky
  659. [convolutional]
  660. batch_normalize=1
  661. filters=256
  662. size=1
  663. stride=1
  664. pad=1
  665. activation=leaky
  666. [convolutional]
  667. batch_normalize=1
  668. filters=256
  669. size=3
  670. stride=1
  671. pad=1
  672. activation=leaky
  673. [convolutional]
  674. batch_normalize=1
  675. filters=1024
  676. size=1
  677. stride=1
  678. pad=1
  679. activation=linear
  680. [shortcut]
  681. from=-4
  682. activation=leaky
  683. [convolutional]
  684. batch_normalize=1
  685. filters=256
  686. size=1
  687. stride=1
  688. pad=1
  689. activation=leaky
  690. [convolutional]
  691. batch_normalize=1
  692. filters=256
  693. size=3
  694. stride=1
  695. pad=1
  696. activation=leaky
  697. [convolutional]
  698. batch_normalize=1
  699. filters=1024
  700. size=1
  701. stride=1
  702. pad=1
  703. activation=linear
  704. [shortcut]
  705. from=-4
  706. activation=leaky
  707. [convolutional]
  708. batch_normalize=1
  709. filters=256
  710. size=1
  711. stride=1
  712. pad=1
  713. activation=leaky
  714. [convolutional]
  715. batch_normalize=1
  716. filters=256
  717. size=3
  718. stride=1
  719. pad=1
  720. activation=leaky
  721. [convolutional]
  722. batch_normalize=1
  723. filters=1024
  724. size=1
  725. stride=1
  726. pad=1
  727. activation=linear
  728. [shortcut]
  729. from=-4
  730. activation=leaky
  731. [convolutional]
  732. batch_normalize=1
  733. filters=256
  734. size=1
  735. stride=1
  736. pad=1
  737. activation=leaky
  738. [convolutional]
  739. batch_normalize=1
  740. filters=256
  741. size=3
  742. stride=1
  743. pad=1
  744. activation=leaky
  745. [convolutional]
  746. batch_normalize=1
  747. filters=1024
  748. size=1
  749. stride=1
  750. pad=1
  751. activation=linear
  752. [shortcut]
  753. from=-4
  754. activation=leaky
  755. [convolutional]
  756. batch_normalize=1
  757. filters=256
  758. size=1
  759. stride=1
  760. pad=1
  761. activation=leaky
  762. [convolutional]
  763. batch_normalize=1
  764. filters=256
  765. size=3
  766. stride=1
  767. pad=1
  768. activation=leaky
  769. [convolutional]
  770. batch_normalize=1
  771. filters=1024
  772. size=1
  773. stride=1
  774. pad=1
  775. activation=linear
  776. [shortcut]
  777. from=-4
  778. activation=leaky
  779. [convolutional]
  780. batch_normalize=1
  781. filters=256
  782. size=1
  783. stride=1
  784. pad=1
  785. activation=leaky
  786. [convolutional]
  787. batch_normalize=1
  788. filters=256
  789. size=3
  790. stride=1
  791. pad=1
  792. activation=leaky
  793. [convolutional]
  794. batch_normalize=1
  795. filters=1024
  796. size=1
  797. stride=1
  798. pad=1
  799. activation=linear
  800. [shortcut]
  801. from=-4
  802. activation=leaky
  803. [convolutional]
  804. batch_normalize=1
  805. filters=256
  806. size=1
  807. stride=1
  808. pad=1
  809. activation=leaky
  810. [convolutional]
  811. batch_normalize=1
  812. filters=256
  813. size=3
  814. stride=1
  815. pad=1
  816. activation=leaky
  817. [convolutional]
  818. batch_normalize=1
  819. filters=1024
  820. size=1
  821. stride=1
  822. pad=1
  823. activation=linear
  824. [shortcut]
  825. from=-4
  826. activation=leaky
  827. [convolutional]
  828. batch_normalize=1
  829. filters=256
  830. size=1
  831. stride=1
  832. pad=1
  833. activation=leaky
  834. [convolutional]
  835. batch_normalize=1
  836. filters=256
  837. size=3
  838. stride=1
  839. pad=1
  840. activation=leaky
  841. [convolutional]
  842. batch_normalize=1
  843. filters=1024
  844. size=1
  845. stride=1
  846. pad=1
  847. activation=linear
  848. [shortcut]
  849. from=-4
  850. activation=leaky
  851. [convolutional]
  852. batch_normalize=1
  853. filters=256
  854. size=1
  855. stride=1
  856. pad=1
  857. activation=leaky
  858. [convolutional]
  859. batch_normalize=1
  860. filters=256
  861. size=3
  862. stride=1
  863. pad=1
  864. activation=leaky
  865. [convolutional]
  866. batch_normalize=1
  867. filters=1024
  868. size=1
  869. stride=1
  870. pad=1
  871. activation=linear
  872. [shortcut]
  873. from=-4
  874. activation=leaky
  875. [convolutional]
  876. batch_normalize=1
  877. filters=256
  878. size=1
  879. stride=1
  880. pad=1
  881. activation=leaky
  882. [convolutional]
  883. batch_normalize=1
  884. filters=256
  885. size=3
  886. stride=1
  887. pad=1
  888. activation=leaky
  889. [convolutional]
  890. batch_normalize=1
  891. filters=1024
  892. size=1
  893. stride=1
  894. pad=1
  895. activation=linear
  896. [shortcut]
  897. from=-4
  898. activation=leaky
  899. [convolutional]
  900. batch_normalize=1
  901. filters=256
  902. size=1
  903. stride=1
  904. pad=1
  905. activation=leaky
  906. [convolutional]
  907. batch_normalize=1
  908. filters=256
  909. size=3
  910. stride=1
  911. pad=1
  912. activation=leaky
  913. [convolutional]
  914. batch_normalize=1
  915. filters=1024
  916. size=1
  917. stride=1
  918. pad=1
  919. activation=linear
  920. [shortcut]
  921. from=-4
  922. activation=leaky
  923. [convolutional]
  924. batch_normalize=1
  925. filters=256
  926. size=1
  927. stride=1
  928. pad=1
  929. activation=leaky
  930. [convolutional]
  931. batch_normalize=1
  932. filters=256
  933. size=3
  934. stride=1
  935. pad=1
  936. activation=leaky
  937. [convolutional]
  938. batch_normalize=1
  939. filters=1024
  940. size=1
  941. stride=1
  942. pad=1
  943. activation=linear
  944. [shortcut]
  945. from=-4
  946. activation=leaky
  947. [convolutional]
  948. batch_normalize=1
  949. filters=256
  950. size=1
  951. stride=1
  952. pad=1
  953. activation=leaky
  954. [convolutional]
  955. batch_normalize=1
  956. filters=256
  957. size=3
  958. stride=1
  959. pad=1
  960. activation=leaky
  961. [convolutional]
  962. batch_normalize=1
  963. filters=1024
  964. size=1
  965. stride=1
  966. pad=1
  967. activation=linear
  968. [shortcut]
  969. from=-4
  970. activation=leaky
  971. [convolutional]
  972. batch_normalize=1
  973. filters=256
  974. size=1
  975. stride=1
  976. pad=1
  977. activation=leaky
  978. [convolutional]
  979. batch_normalize=1
  980. filters=256
  981. size=3
  982. stride=1
  983. pad=1
  984. activation=leaky
  985. [convolutional]
  986. batch_normalize=1
  987. filters=1024
  988. size=1
  989. stride=1
  990. pad=1
  991. activation=linear
  992. [shortcut]
  993. from=-4
  994. activation=leaky
  995. [convolutional]
  996. batch_normalize=1
  997. filters=256
  998. size=1
  999. stride=1
  1000. pad=1
  1001. activation=leaky
  1002. [convolutional]
  1003. batch_normalize=1
  1004. filters=256
  1005. size=3
  1006. stride=1
  1007. pad=1
  1008. activation=leaky
  1009. [convolutional]
  1010. batch_normalize=1
  1011. filters=1024
  1012. size=1
  1013. stride=1
  1014. pad=1
  1015. activation=linear
  1016. [shortcut]
  1017. from=-4
  1018. activation=leaky
  1019. [convolutional]
  1020. batch_normalize=1
  1021. filters=256
  1022. size=1
  1023. stride=1
  1024. pad=1
  1025. activation=leaky
  1026. [convolutional]
  1027. batch_normalize=1
  1028. filters=256
  1029. size=3
  1030. stride=1
  1031. pad=1
  1032. activation=leaky
  1033. [convolutional]
  1034. batch_normalize=1
  1035. filters=1024
  1036. size=1
  1037. stride=1
  1038. pad=1
  1039. activation=linear
  1040. [shortcut]
  1041. from=-4
  1042. activation=leaky
  1043. [convolutional]
  1044. batch_normalize=1
  1045. filters=256
  1046. size=1
  1047. stride=1
  1048. pad=1
  1049. activation=leaky
  1050. [convolutional]
  1051. batch_normalize=1
  1052. filters=256
  1053. size=3
  1054. stride=1
  1055. pad=1
  1056. activation=leaky
  1057. [convolutional]
  1058. batch_normalize=1
  1059. filters=1024
  1060. size=1
  1061. stride=1
  1062. pad=1
  1063. activation=linear
  1064. [shortcut]
  1065. from=-4
  1066. activation=leaky
  1067. [convolutional]
  1068. batch_normalize=1
  1069. filters=256
  1070. size=1
  1071. stride=1
  1072. pad=1
  1073. activation=leaky
  1074. [convolutional]
  1075. batch_normalize=1
  1076. filters=256
  1077. size=3
  1078. stride=1
  1079. pad=1
  1080. activation=leaky
  1081. [convolutional]
  1082. batch_normalize=1
  1083. filters=1024
  1084. size=1
  1085. stride=1
  1086. pad=1
  1087. activation=linear
  1088. [shortcut]
  1089. from=-4
  1090. activation=leaky
  1091. [convolutional]
  1092. batch_normalize=1
  1093. filters=256
  1094. size=1
  1095. stride=1
  1096. pad=1
  1097. activation=leaky
  1098. [convolutional]
  1099. batch_normalize=1
  1100. filters=256
  1101. size=3
  1102. stride=1
  1103. pad=1
  1104. activation=leaky
  1105. [convolutional]
  1106. batch_normalize=1
  1107. filters=1024
  1108. size=1
  1109. stride=1
  1110. pad=1
  1111. activation=linear
  1112. [shortcut]
  1113. from=-4
  1114. activation=leaky
  1115. [convolutional]
  1116. batch_normalize=1
  1117. filters=256
  1118. size=1
  1119. stride=1
  1120. pad=1
  1121. activation=leaky
  1122. [convolutional]
  1123. batch_normalize=1
  1124. filters=256
  1125. size=3
  1126. stride=1
  1127. pad=1
  1128. activation=leaky
  1129. [convolutional]
  1130. batch_normalize=1
  1131. filters=1024
  1132. size=1
  1133. stride=1
  1134. pad=1
  1135. activation=linear
  1136. [shortcut]
  1137. from=-4
  1138. activation=leaky
  1139. [convolutional]
  1140. batch_normalize=1
  1141. filters=256
  1142. size=1
  1143. stride=1
  1144. pad=1
  1145. activation=leaky
  1146. [convolutional]
  1147. batch_normalize=1
  1148. filters=256
  1149. size=3
  1150. stride=1
  1151. pad=1
  1152. activation=leaky
  1153. [convolutional]
  1154. batch_normalize=1
  1155. filters=1024
  1156. size=1
  1157. stride=1
  1158. pad=1
  1159. activation=linear
  1160. [shortcut]
  1161. from=-4
  1162. activation=leaky
  1163. #Conv 5
  1164. [convolutional]
  1165. batch_normalize=1
  1166. filters=512
  1167. size=1
  1168. stride=1
  1169. pad=1
  1170. activation=leaky
  1171. [convolutional]
  1172. batch_normalize=1
  1173. filters=512
  1174. size=3
  1175. stride=2
  1176. pad=1
  1177. activation=leaky
  1178. [convolutional]
  1179. batch_normalize=1
  1180. filters=2048
  1181. size=1
  1182. stride=1
  1183. pad=1
  1184. activation=linear
  1185. [shortcut]
  1186. from=-4
  1187. activation=leaky
  1188. [convolutional]
  1189. batch_normalize=1
  1190. filters=512
  1191. size=1
  1192. stride=1
  1193. pad=1
  1194. activation=leaky
  1195. [convolutional]
  1196. batch_normalize=1
  1197. filters=512
  1198. size=3
  1199. stride=1
  1200. pad=1
  1201. activation=leaky
  1202. [convolutional]
  1203. batch_normalize=1
  1204. filters=2048
  1205. size=1
  1206. stride=1
  1207. pad=1
  1208. activation=linear
  1209. [shortcut]
  1210. from=-4
  1211. activation=leaky
  1212. [convolutional]
  1213. batch_normalize=1
  1214. filters=512
  1215. size=1
  1216. stride=1
  1217. pad=1
  1218. activation=leaky
  1219. [convolutional]
  1220. batch_normalize=1
  1221. filters=512
  1222. size=3
  1223. stride=1
  1224. pad=1
  1225. activation=leaky
  1226. [convolutional]
  1227. batch_normalize=1
  1228. filters=2048
  1229. size=1
  1230. stride=1
  1231. pad=1
  1232. activation=linear
  1233. [shortcut]
  1234. from=-4
  1235. activation=leaky
  1236. [convolutional]
  1237. filters=1000
  1238. size=1
  1239. stride=1
  1240. pad=1
  1241. activation=linear
  1242. [avgpool]
  1243. [softmax]
  1244. groups=1