resnet152_yolo.cfg 15 KB

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  1. [net]
  2. batch=64
  3. subdivisions=32
  4. height=416
  5. width=416
  6. channels=3
  7. momentum=0.9
  8. decay=0.0005
  9. angle=0
  10. saturation = 1.5
  11. exposure = 1.5
  12. hue=.1
  13. learning_rate=0.0001
  14. max_batches = 45000
  15. policy=steps
  16. steps=100,25000,35000
  17. scales=10,.1,.1
  18. [convolutional]
  19. batch_normalize=1
  20. filters=64
  21. size=7
  22. stride=2
  23. pad=1
  24. activation=leaky
  25. [maxpool]
  26. size=2
  27. stride=2
  28. [convolutional]
  29. batch_normalize=1
  30. filters=64
  31. size=1
  32. stride=1
  33. pad=1
  34. activation=leaky
  35. [convolutional]
  36. batch_normalize=1
  37. filters=64
  38. size=3
  39. stride=1
  40. pad=1
  41. activation=leaky
  42. [convolutional]
  43. batch_normalize=1
  44. filters=256
  45. size=1
  46. stride=1
  47. pad=1
  48. activation=linear
  49. [shortcut]
  50. from=-4
  51. activation=leaky
  52. [convolutional]
  53. batch_normalize=1
  54. filters=64
  55. size=1
  56. stride=1
  57. pad=1
  58. activation=leaky
  59. [convolutional]
  60. batch_normalize=1
  61. filters=64
  62. size=3
  63. stride=1
  64. pad=1
  65. activation=leaky
  66. [convolutional]
  67. batch_normalize=1
  68. filters=256
  69. size=1
  70. stride=1
  71. pad=1
  72. activation=linear
  73. [shortcut]
  74. from=-4
  75. activation=leaky
  76. [convolutional]
  77. batch_normalize=1
  78. filters=64
  79. size=1
  80. stride=1
  81. pad=1
  82. activation=leaky
  83. [convolutional]
  84. batch_normalize=1
  85. filters=64
  86. size=3
  87. stride=1
  88. pad=1
  89. activation=leaky
  90. [convolutional]
  91. batch_normalize=1
  92. filters=256
  93. size=1
  94. stride=1
  95. pad=1
  96. activation=linear
  97. [shortcut]
  98. from=-4
  99. activation=leaky
  100. [convolutional]
  101. batch_normalize=1
  102. filters=128
  103. size=1
  104. stride=1
  105. pad=1
  106. activation=leaky
  107. [convolutional]
  108. batch_normalize=1
  109. filters=128
  110. size=3
  111. stride=2
  112. pad=1
  113. activation=leaky
  114. [convolutional]
  115. batch_normalize=1
  116. filters=512
  117. size=1
  118. stride=1
  119. pad=1
  120. activation=linear
  121. [shortcut]
  122. from=-4
  123. activation=leaky
  124. [convolutional]
  125. batch_normalize=1
  126. filters=128
  127. size=1
  128. stride=1
  129. pad=1
  130. activation=leaky
  131. [convolutional]
  132. batch_normalize=1
  133. filters=128
  134. size=3
  135. stride=1
  136. pad=1
  137. activation=leaky
  138. [convolutional]
  139. batch_normalize=1
  140. filters=512
  141. size=1
  142. stride=1
  143. pad=1
  144. activation=linear
  145. [shortcut]
  146. from=-4
  147. activation=leaky
  148. [convolutional]
  149. batch_normalize=1
  150. filters=128
  151. size=1
  152. stride=1
  153. pad=1
  154. activation=leaky
  155. [convolutional]
  156. batch_normalize=1
  157. filters=128
  158. size=3
  159. stride=1
  160. pad=1
  161. activation=leaky
  162. [convolutional]
  163. batch_normalize=1
  164. filters=512
  165. size=1
  166. stride=1
  167. pad=1
  168. activation=linear
  169. [shortcut]
  170. from=-4
  171. activation=leaky
  172. [convolutional]
  173. batch_normalize=1
  174. filters=128
  175. size=1
  176. stride=1
  177. pad=1
  178. activation=leaky
  179. [convolutional]
  180. batch_normalize=1
  181. filters=128
  182. size=3
  183. stride=1
  184. pad=1
  185. activation=leaky
  186. [convolutional]
  187. batch_normalize=1
  188. filters=512
  189. size=1
  190. stride=1
  191. pad=1
  192. activation=linear
  193. [shortcut]
  194. from=-4
  195. activation=leaky
  196. [convolutional]
  197. batch_normalize=1
  198. filters=128
  199. size=1
  200. stride=1
  201. pad=1
  202. activation=leaky
  203. [convolutional]
  204. batch_normalize=1
  205. filters=128
  206. size=3
  207. stride=1
  208. pad=1
  209. activation=leaky
  210. [convolutional]
  211. batch_normalize=1
  212. filters=512
  213. size=1
  214. stride=1
  215. pad=1
  216. activation=linear
  217. [shortcut]
  218. from=-4
  219. activation=leaky
  220. [convolutional]
  221. batch_normalize=1
  222. filters=128
  223. size=1
  224. stride=1
  225. pad=1
  226. activation=leaky
  227. [convolutional]
  228. batch_normalize=1
  229. filters=128
  230. size=3
  231. stride=1
  232. pad=1
  233. activation=leaky
  234. [convolutional]
  235. batch_normalize=1
  236. filters=512
  237. size=1
  238. stride=1
  239. pad=1
  240. activation=linear
  241. [shortcut]
  242. from=-4
  243. activation=leaky
  244. [convolutional]
  245. batch_normalize=1
  246. filters=128
  247. size=1
  248. stride=1
  249. pad=1
  250. activation=leaky
  251. [convolutional]
  252. batch_normalize=1
  253. filters=128
  254. size=3
  255. stride=1
  256. pad=1
  257. activation=leaky
  258. [convolutional]
  259. batch_normalize=1
  260. filters=512
  261. size=1
  262. stride=1
  263. pad=1
  264. activation=linear
  265. [shortcut]
  266. from=-4
  267. activation=leaky
  268. [convolutional]
  269. batch_normalize=1
  270. filters=128
  271. size=1
  272. stride=1
  273. pad=1
  274. activation=leaky
  275. [convolutional]
  276. batch_normalize=1
  277. filters=128
  278. size=3
  279. stride=1
  280. pad=1
  281. activation=leaky
  282. [convolutional]
  283. batch_normalize=1
  284. filters=512
  285. size=1
  286. stride=1
  287. pad=1
  288. activation=linear
  289. [shortcut]
  290. from=-4
  291. activation=leaky
  292. # Conv 4
  293. [convolutional]
  294. batch_normalize=1
  295. filters=256
  296. size=1
  297. stride=1
  298. pad=1
  299. activation=leaky
  300. [convolutional]
  301. batch_normalize=1
  302. filters=256
  303. size=3
  304. stride=2
  305. pad=1
  306. activation=leaky
  307. [convolutional]
  308. batch_normalize=1
  309. filters=1024
  310. size=1
  311. stride=1
  312. pad=1
  313. activation=linear
  314. [shortcut]
  315. from=-4
  316. activation=leaky
  317. [convolutional]
  318. batch_normalize=1
  319. filters=256
  320. size=1
  321. stride=1
  322. pad=1
  323. activation=leaky
  324. [convolutional]
  325. batch_normalize=1
  326. filters=256
  327. size=3
  328. stride=1
  329. pad=1
  330. activation=leaky
  331. [convolutional]
  332. batch_normalize=1
  333. filters=1024
  334. size=1
  335. stride=1
  336. pad=1
  337. activation=linear
  338. [shortcut]
  339. from=-4
  340. activation=leaky
  341. [convolutional]
  342. batch_normalize=1
  343. filters=256
  344. size=1
  345. stride=1
  346. pad=1
  347. activation=leaky
  348. [convolutional]
  349. batch_normalize=1
  350. filters=256
  351. size=3
  352. stride=1
  353. pad=1
  354. activation=leaky
  355. [convolutional]
  356. batch_normalize=1
  357. filters=1024
  358. size=1
  359. stride=1
  360. pad=1
  361. activation=linear
  362. [shortcut]
  363. from=-4
  364. activation=leaky
  365. [convolutional]
  366. batch_normalize=1
  367. filters=256
  368. size=1
  369. stride=1
  370. pad=1
  371. activation=leaky
  372. [convolutional]
  373. batch_normalize=1
  374. filters=256
  375. size=3
  376. stride=1
  377. pad=1
  378. activation=leaky
  379. [convolutional]
  380. batch_normalize=1
  381. filters=1024
  382. size=1
  383. stride=1
  384. pad=1
  385. activation=linear
  386. [shortcut]
  387. from=-4
  388. activation=leaky
  389. [convolutional]
  390. batch_normalize=1
  391. filters=256
  392. size=1
  393. stride=1
  394. pad=1
  395. activation=leaky
  396. [convolutional]
  397. batch_normalize=1
  398. filters=256
  399. size=3
  400. stride=1
  401. pad=1
  402. activation=leaky
  403. [convolutional]
  404. batch_normalize=1
  405. filters=1024
  406. size=1
  407. stride=1
  408. pad=1
  409. activation=linear
  410. [shortcut]
  411. from=-4
  412. activation=leaky
  413. [convolutional]
  414. batch_normalize=1
  415. filters=256
  416. size=1
  417. stride=1
  418. pad=1
  419. activation=leaky
  420. [convolutional]
  421. batch_normalize=1
  422. filters=256
  423. size=3
  424. stride=1
  425. pad=1
  426. activation=leaky
  427. [convolutional]
  428. batch_normalize=1
  429. filters=1024
  430. size=1
  431. stride=1
  432. pad=1
  433. activation=linear
  434. [shortcut]
  435. from=-4
  436. activation=leaky
  437. [convolutional]
  438. batch_normalize=1
  439. filters=256
  440. size=1
  441. stride=1
  442. pad=1
  443. activation=leaky
  444. [convolutional]
  445. batch_normalize=1
  446. filters=256
  447. size=3
  448. stride=1
  449. pad=1
  450. activation=leaky
  451. [convolutional]
  452. batch_normalize=1
  453. filters=1024
  454. size=1
  455. stride=1
  456. pad=1
  457. activation=linear
  458. [shortcut]
  459. from=-4
  460. activation=leaky
  461. [convolutional]
  462. batch_normalize=1
  463. filters=256
  464. size=1
  465. stride=1
  466. pad=1
  467. activation=leaky
  468. [convolutional]
  469. batch_normalize=1
  470. filters=256
  471. size=3
  472. stride=1
  473. pad=1
  474. activation=leaky
  475. [convolutional]
  476. batch_normalize=1
  477. filters=1024
  478. size=1
  479. stride=1
  480. pad=1
  481. activation=linear
  482. [shortcut]
  483. from=-4
  484. activation=leaky
  485. [convolutional]
  486. batch_normalize=1
  487. filters=256
  488. size=1
  489. stride=1
  490. pad=1
  491. activation=leaky
  492. [convolutional]
  493. batch_normalize=1
  494. filters=256
  495. size=3
  496. stride=1
  497. pad=1
  498. activation=leaky
  499. [convolutional]
  500. batch_normalize=1
  501. filters=1024
  502. size=1
  503. stride=1
  504. pad=1
  505. activation=linear
  506. [shortcut]
  507. from=-4
  508. activation=leaky
  509. [convolutional]
  510. batch_normalize=1
  511. filters=256
  512. size=1
  513. stride=1
  514. pad=1
  515. activation=leaky
  516. [convolutional]
  517. batch_normalize=1
  518. filters=256
  519. size=3
  520. stride=1
  521. pad=1
  522. activation=leaky
  523. [convolutional]
  524. batch_normalize=1
  525. filters=1024
  526. size=1
  527. stride=1
  528. pad=1
  529. activation=linear
  530. [shortcut]
  531. from=-4
  532. activation=leaky
  533. [convolutional]
  534. batch_normalize=1
  535. filters=256
  536. size=1
  537. stride=1
  538. pad=1
  539. activation=leaky
  540. [convolutional]
  541. batch_normalize=1
  542. filters=256
  543. size=3
  544. stride=1
  545. pad=1
  546. activation=leaky
  547. [convolutional]
  548. batch_normalize=1
  549. filters=1024
  550. size=1
  551. stride=1
  552. pad=1
  553. activation=linear
  554. [shortcut]
  555. from=-4
  556. activation=leaky
  557. [convolutional]
  558. batch_normalize=1
  559. filters=256
  560. size=1
  561. stride=1
  562. pad=1
  563. activation=leaky
  564. [convolutional]
  565. batch_normalize=1
  566. filters=256
  567. size=3
  568. stride=1
  569. pad=1
  570. activation=leaky
  571. [convolutional]
  572. batch_normalize=1
  573. filters=1024
  574. size=1
  575. stride=1
  576. pad=1
  577. activation=linear
  578. [shortcut]
  579. from=-4
  580. activation=leaky
  581. [convolutional]
  582. batch_normalize=1
  583. filters=256
  584. size=1
  585. stride=1
  586. pad=1
  587. activation=leaky
  588. [convolutional]
  589. batch_normalize=1
  590. filters=256
  591. size=3
  592. stride=1
  593. pad=1
  594. activation=leaky
  595. [convolutional]
  596. batch_normalize=1
  597. filters=1024
  598. size=1
  599. stride=1
  600. pad=1
  601. activation=linear
  602. [shortcut]
  603. from=-4
  604. activation=leaky
  605. [convolutional]
  606. batch_normalize=1
  607. filters=256
  608. size=1
  609. stride=1
  610. pad=1
  611. activation=leaky
  612. [convolutional]
  613. batch_normalize=1
  614. filters=256
  615. size=3
  616. stride=1
  617. pad=1
  618. activation=leaky
  619. [convolutional]
  620. batch_normalize=1
  621. filters=1024
  622. size=1
  623. stride=1
  624. pad=1
  625. activation=linear
  626. [shortcut]
  627. from=-4
  628. activation=leaky
  629. [convolutional]
  630. batch_normalize=1
  631. filters=256
  632. size=1
  633. stride=1
  634. pad=1
  635. activation=leaky
  636. [convolutional]
  637. batch_normalize=1
  638. filters=256
  639. size=3
  640. stride=1
  641. pad=1
  642. activation=leaky
  643. [convolutional]
  644. batch_normalize=1
  645. filters=1024
  646. size=1
  647. stride=1
  648. pad=1
  649. activation=linear
  650. [shortcut]
  651. from=-4
  652. activation=leaky
  653. [convolutional]
  654. batch_normalize=1
  655. filters=256
  656. size=1
  657. stride=1
  658. pad=1
  659. activation=leaky
  660. [convolutional]
  661. batch_normalize=1
  662. filters=256
  663. size=3
  664. stride=1
  665. pad=1
  666. activation=leaky
  667. [convolutional]
  668. batch_normalize=1
  669. filters=1024
  670. size=1
  671. stride=1
  672. pad=1
  673. activation=linear
  674. [shortcut]
  675. from=-4
  676. activation=leaky
  677. [convolutional]
  678. batch_normalize=1
  679. filters=256
  680. size=1
  681. stride=1
  682. pad=1
  683. activation=leaky
  684. [convolutional]
  685. batch_normalize=1
  686. filters=256
  687. size=3
  688. stride=1
  689. pad=1
  690. activation=leaky
  691. [convolutional]
  692. batch_normalize=1
  693. filters=1024
  694. size=1
  695. stride=1
  696. pad=1
  697. activation=linear
  698. [shortcut]
  699. from=-4
  700. activation=leaky
  701. [convolutional]
  702. batch_normalize=1
  703. filters=256
  704. size=1
  705. stride=1
  706. pad=1
  707. activation=leaky
  708. [convolutional]
  709. batch_normalize=1
  710. filters=256
  711. size=3
  712. stride=1
  713. pad=1
  714. activation=leaky
  715. [convolutional]
  716. batch_normalize=1
  717. filters=1024
  718. size=1
  719. stride=1
  720. pad=1
  721. activation=linear
  722. [shortcut]
  723. from=-4
  724. activation=leaky
  725. [convolutional]
  726. batch_normalize=1
  727. filters=256
  728. size=1
  729. stride=1
  730. pad=1
  731. activation=leaky
  732. [convolutional]
  733. batch_normalize=1
  734. filters=256
  735. size=3
  736. stride=1
  737. pad=1
  738. activation=leaky
  739. [convolutional]
  740. batch_normalize=1
  741. filters=1024
  742. size=1
  743. stride=1
  744. pad=1
  745. activation=linear
  746. [shortcut]
  747. from=-4
  748. activation=leaky
  749. [convolutional]
  750. batch_normalize=1
  751. filters=256
  752. size=1
  753. stride=1
  754. pad=1
  755. activation=leaky
  756. [convolutional]
  757. batch_normalize=1
  758. filters=256
  759. size=3
  760. stride=1
  761. pad=1
  762. activation=leaky
  763. [convolutional]
  764. batch_normalize=1
  765. filters=1024
  766. size=1
  767. stride=1
  768. pad=1
  769. activation=linear
  770. [shortcut]
  771. from=-4
  772. activation=leaky
  773. [convolutional]
  774. batch_normalize=1
  775. filters=256
  776. size=1
  777. stride=1
  778. pad=1
  779. activation=leaky
  780. [convolutional]
  781. batch_normalize=1
  782. filters=256
  783. size=3
  784. stride=1
  785. pad=1
  786. activation=leaky
  787. [convolutional]
  788. batch_normalize=1
  789. filters=1024
  790. size=1
  791. stride=1
  792. pad=1
  793. activation=linear
  794. [shortcut]
  795. from=-4
  796. activation=leaky
  797. [convolutional]
  798. batch_normalize=1
  799. filters=256
  800. size=1
  801. stride=1
  802. pad=1
  803. activation=leaky
  804. [convolutional]
  805. batch_normalize=1
  806. filters=256
  807. size=3
  808. stride=1
  809. pad=1
  810. activation=leaky
  811. [convolutional]
  812. batch_normalize=1
  813. filters=1024
  814. size=1
  815. stride=1
  816. pad=1
  817. activation=linear
  818. [shortcut]
  819. from=-4
  820. activation=leaky
  821. [convolutional]
  822. batch_normalize=1
  823. filters=256
  824. size=1
  825. stride=1
  826. pad=1
  827. activation=leaky
  828. [convolutional]
  829. batch_normalize=1
  830. filters=256
  831. size=3
  832. stride=1
  833. pad=1
  834. activation=leaky
  835. [convolutional]
  836. batch_normalize=1
  837. filters=1024
  838. size=1
  839. stride=1
  840. pad=1
  841. activation=linear
  842. [shortcut]
  843. from=-4
  844. activation=leaky
  845. [convolutional]
  846. batch_normalize=1
  847. filters=256
  848. size=1
  849. stride=1
  850. pad=1
  851. activation=leaky
  852. [convolutional]
  853. batch_normalize=1
  854. filters=256
  855. size=3
  856. stride=1
  857. pad=1
  858. activation=leaky
  859. [convolutional]
  860. batch_normalize=1
  861. filters=1024
  862. size=1
  863. stride=1
  864. pad=1
  865. activation=linear
  866. [shortcut]
  867. from=-4
  868. activation=leaky
  869. [convolutional]
  870. batch_normalize=1
  871. filters=256
  872. size=1
  873. stride=1
  874. pad=1
  875. activation=leaky
  876. [convolutional]
  877. batch_normalize=1
  878. filters=256
  879. size=3
  880. stride=1
  881. pad=1
  882. activation=leaky
  883. [convolutional]
  884. batch_normalize=1
  885. filters=1024
  886. size=1
  887. stride=1
  888. pad=1
  889. activation=linear
  890. [shortcut]
  891. from=-4
  892. activation=leaky
  893. [convolutional]
  894. batch_normalize=1
  895. filters=256
  896. size=1
  897. stride=1
  898. pad=1
  899. activation=leaky
  900. [convolutional]
  901. batch_normalize=1
  902. filters=256
  903. size=3
  904. stride=1
  905. pad=1
  906. activation=leaky
  907. [convolutional]
  908. batch_normalize=1
  909. filters=1024
  910. size=1
  911. stride=1
  912. pad=1
  913. activation=linear
  914. [shortcut]
  915. from=-4
  916. activation=leaky
  917. [convolutional]
  918. batch_normalize=1
  919. filters=256
  920. size=1
  921. stride=1
  922. pad=1
  923. activation=leaky
  924. [convolutional]
  925. batch_normalize=1
  926. filters=256
  927. size=3
  928. stride=1
  929. pad=1
  930. activation=leaky
  931. [convolutional]
  932. batch_normalize=1
  933. filters=1024
  934. size=1
  935. stride=1
  936. pad=1
  937. activation=linear
  938. [shortcut]
  939. from=-4
  940. activation=leaky
  941. [convolutional]
  942. batch_normalize=1
  943. filters=256
  944. size=1
  945. stride=1
  946. pad=1
  947. activation=leaky
  948. [convolutional]
  949. batch_normalize=1
  950. filters=256
  951. size=3
  952. stride=1
  953. pad=1
  954. activation=leaky
  955. [convolutional]
  956. batch_normalize=1
  957. filters=1024
  958. size=1
  959. stride=1
  960. pad=1
  961. activation=linear
  962. [shortcut]
  963. from=-4
  964. activation=leaky
  965. [convolutional]
  966. batch_normalize=1
  967. filters=256
  968. size=1
  969. stride=1
  970. pad=1
  971. activation=leaky
  972. [convolutional]
  973. batch_normalize=1
  974. filters=256
  975. size=3
  976. stride=1
  977. pad=1
  978. activation=leaky
  979. [convolutional]
  980. batch_normalize=1
  981. filters=1024
  982. size=1
  983. stride=1
  984. pad=1
  985. activation=linear
  986. [shortcut]
  987. from=-4
  988. activation=leaky
  989. [convolutional]
  990. batch_normalize=1
  991. filters=256
  992. size=1
  993. stride=1
  994. pad=1
  995. activation=leaky
  996. [convolutional]
  997. batch_normalize=1
  998. filters=256
  999. size=3
  1000. stride=1
  1001. pad=1
  1002. activation=leaky
  1003. [convolutional]
  1004. batch_normalize=1
  1005. filters=1024
  1006. size=1
  1007. stride=1
  1008. pad=1
  1009. activation=linear
  1010. [shortcut]
  1011. from=-4
  1012. activation=leaky
  1013. [convolutional]
  1014. batch_normalize=1
  1015. filters=256
  1016. size=1
  1017. stride=1
  1018. pad=1
  1019. activation=leaky
  1020. [convolutional]
  1021. batch_normalize=1
  1022. filters=256
  1023. size=3
  1024. stride=1
  1025. pad=1
  1026. activation=leaky
  1027. [convolutional]
  1028. batch_normalize=1
  1029. filters=1024
  1030. size=1
  1031. stride=1
  1032. pad=1
  1033. activation=linear
  1034. [shortcut]
  1035. from=-4
  1036. activation=leaky
  1037. [convolutional]
  1038. batch_normalize=1
  1039. filters=256
  1040. size=1
  1041. stride=1
  1042. pad=1
  1043. activation=leaky
  1044. [convolutional]
  1045. batch_normalize=1
  1046. filters=256
  1047. size=3
  1048. stride=1
  1049. pad=1
  1050. activation=leaky
  1051. [convolutional]
  1052. batch_normalize=1
  1053. filters=1024
  1054. size=1
  1055. stride=1
  1056. pad=1
  1057. activation=linear
  1058. [shortcut]
  1059. from=-4
  1060. activation=leaky
  1061. [convolutional]
  1062. batch_normalize=1
  1063. filters=256
  1064. size=1
  1065. stride=1
  1066. pad=1
  1067. activation=leaky
  1068. [convolutional]
  1069. batch_normalize=1
  1070. filters=256
  1071. size=3
  1072. stride=1
  1073. pad=1
  1074. activation=leaky
  1075. [convolutional]
  1076. batch_normalize=1
  1077. filters=1024
  1078. size=1
  1079. stride=1
  1080. pad=1
  1081. activation=linear
  1082. [shortcut]
  1083. from=-4
  1084. activation=leaky
  1085. [convolutional]
  1086. batch_normalize=1
  1087. filters=256
  1088. size=1
  1089. stride=1
  1090. pad=1
  1091. activation=leaky
  1092. [convolutional]
  1093. batch_normalize=1
  1094. filters=256
  1095. size=3
  1096. stride=1
  1097. pad=1
  1098. activation=leaky
  1099. [convolutional]
  1100. batch_normalize=1
  1101. filters=1024
  1102. size=1
  1103. stride=1
  1104. pad=1
  1105. activation=linear
  1106. [shortcut]
  1107. from=-4
  1108. activation=leaky
  1109. [convolutional]
  1110. batch_normalize=1
  1111. filters=256
  1112. size=1
  1113. stride=1
  1114. pad=1
  1115. activation=leaky
  1116. [convolutional]
  1117. batch_normalize=1
  1118. filters=256
  1119. size=3
  1120. stride=1
  1121. pad=1
  1122. activation=leaky
  1123. [convolutional]
  1124. batch_normalize=1
  1125. filters=1024
  1126. size=1
  1127. stride=1
  1128. pad=1
  1129. activation=linear
  1130. [shortcut]
  1131. from=-4
  1132. activation=leaky
  1133. [convolutional]
  1134. batch_normalize=1
  1135. filters=256
  1136. size=1
  1137. stride=1
  1138. pad=1
  1139. activation=leaky
  1140. [convolutional]
  1141. batch_normalize=1
  1142. filters=256
  1143. size=3
  1144. stride=1
  1145. pad=1
  1146. activation=leaky
  1147. [convolutional]
  1148. batch_normalize=1
  1149. filters=1024
  1150. size=1
  1151. stride=1
  1152. pad=1
  1153. activation=linear
  1154. [shortcut]
  1155. from=-4
  1156. activation=leaky
  1157. #Conv 5
  1158. [convolutional]
  1159. batch_normalize=1
  1160. filters=512
  1161. size=1
  1162. stride=1
  1163. pad=1
  1164. activation=leaky
  1165. [convolutional]
  1166. batch_normalize=1
  1167. filters=512
  1168. size=3
  1169. stride=2
  1170. pad=1
  1171. activation=leaky
  1172. [convolutional]
  1173. batch_normalize=1
  1174. filters=2048
  1175. size=1
  1176. stride=1
  1177. pad=1
  1178. activation=linear
  1179. [shortcut]
  1180. from=-4
  1181. activation=leaky
  1182. [convolutional]
  1183. batch_normalize=1
  1184. filters=512
  1185. size=1
  1186. stride=1
  1187. pad=1
  1188. activation=leaky
  1189. [convolutional]
  1190. batch_normalize=1
  1191. filters=512
  1192. size=3
  1193. stride=1
  1194. pad=1
  1195. activation=leaky
  1196. [convolutional]
  1197. batch_normalize=1
  1198. filters=2048
  1199. size=1
  1200. stride=1
  1201. pad=1
  1202. activation=linear
  1203. [shortcut]
  1204. from=-4
  1205. activation=leaky
  1206. [convolutional]
  1207. batch_normalize=1
  1208. filters=512
  1209. size=1
  1210. stride=1
  1211. pad=1
  1212. activation=leaky
  1213. [convolutional]
  1214. batch_normalize=1
  1215. filters=512
  1216. size=3
  1217. stride=1
  1218. pad=1
  1219. activation=leaky
  1220. [convolutional]
  1221. batch_normalize=1
  1222. filters=2048
  1223. size=1
  1224. stride=1
  1225. pad=1
  1226. activation=linear
  1227. [shortcut]
  1228. from=-4
  1229. activation=leaky
  1230. #stopbackward=1
  1231. [convolutional]
  1232. batch_normalize=1
  1233. size=1
  1234. stride=1
  1235. pad=1
  1236. filters=1024
  1237. activation=leaky
  1238. [convolutional]
  1239. size=1
  1240. stride=1
  1241. pad=1
  1242. filters=125
  1243. activation=linear
  1244. [region]
  1245. anchors = 1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071
  1246. bias_match=1
  1247. classes=20
  1248. coords=4
  1249. num=5
  1250. softmax=1
  1251. jitter=.3
  1252. rescore=1
  1253. #focal_loss=1
  1254. object_scale=5
  1255. noobject_scale=1
  1256. class_scale=1
  1257. coord_scale=1
  1258. absolute=1
  1259. thresh = .6
  1260. random=1