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densenet201.cfg 19 KB

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  1. [net]
  2. # Training
  3. # batch=128
  4. # subdivisions=4
  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=128
  37. size=1
  38. stride=1
  39. pad=1
  40. activation=leaky
  41. [convolutional]
  42. batch_normalize=1
  43. filters=32
  44. size=3
  45. stride=1
  46. pad=1
  47. activation=leaky
  48. [route]
  49. layers=-1,-3
  50. [convolutional]
  51. batch_normalize=1
  52. filters=128
  53. size=1
  54. stride=1
  55. pad=1
  56. activation=leaky
  57. [convolutional]
  58. batch_normalize=1
  59. filters=32
  60. size=3
  61. stride=1
  62. pad=1
  63. activation=leaky
  64. [route]
  65. layers=-1,-3
  66. [convolutional]
  67. batch_normalize=1
  68. filters=128
  69. size=1
  70. stride=1
  71. pad=1
  72. activation=leaky
  73. [convolutional]
  74. batch_normalize=1
  75. filters=32
  76. size=3
  77. stride=1
  78. pad=1
  79. activation=leaky
  80. [route]
  81. layers=-1,-3
  82. [convolutional]
  83. batch_normalize=1
  84. filters=128
  85. size=1
  86. stride=1
  87. pad=1
  88. activation=leaky
  89. [convolutional]
  90. batch_normalize=1
  91. filters=32
  92. size=3
  93. stride=1
  94. pad=1
  95. activation=leaky
  96. [route]
  97. layers=-1,-3
  98. [convolutional]
  99. batch_normalize=1
  100. filters=128
  101. size=1
  102. stride=1
  103. pad=1
  104. activation=leaky
  105. [convolutional]
  106. batch_normalize=1
  107. filters=32
  108. size=3
  109. stride=1
  110. pad=1
  111. activation=leaky
  112. [route]
  113. layers=-1,-3
  114. [convolutional]
  115. batch_normalize=1
  116. filters=128
  117. size=1
  118. stride=1
  119. pad=1
  120. activation=leaky
  121. [convolutional]
  122. batch_normalize=1
  123. filters=32
  124. size=3
  125. stride=1
  126. pad=1
  127. activation=leaky
  128. [route]
  129. layers=-1,-3
  130. [convolutional]
  131. batch_normalize=1
  132. filters=128
  133. size=1
  134. stride=1
  135. pad=1
  136. activation=leaky
  137. [maxpool]
  138. size=2
  139. stride=2
  140. [convolutional]
  141. batch_normalize=1
  142. filters=128
  143. size=1
  144. stride=1
  145. pad=1
  146. activation=leaky
  147. [convolutional]
  148. batch_normalize=1
  149. filters=32
  150. size=3
  151. stride=1
  152. pad=1
  153. activation=leaky
  154. [route]
  155. layers=-1,-3
  156. [convolutional]
  157. batch_normalize=1
  158. filters=128
  159. size=1
  160. stride=1
  161. pad=1
  162. activation=leaky
  163. [convolutional]
  164. batch_normalize=1
  165. filters=32
  166. size=3
  167. stride=1
  168. pad=1
  169. activation=leaky
  170. [route]
  171. layers=-1,-3
  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=32
  182. size=3
  183. stride=1
  184. pad=1
  185. activation=leaky
  186. [route]
  187. layers=-1,-3
  188. [convolutional]
  189. batch_normalize=1
  190. filters=128
  191. size=1
  192. stride=1
  193. pad=1
  194. activation=leaky
  195. [convolutional]
  196. batch_normalize=1
  197. filters=32
  198. size=3
  199. stride=1
  200. pad=1
  201. activation=leaky
  202. [route]
  203. layers=-1,-3
  204. [convolutional]
  205. batch_normalize=1
  206. filters=128
  207. size=1
  208. stride=1
  209. pad=1
  210. activation=leaky
  211. [convolutional]
  212. batch_normalize=1
  213. filters=32
  214. size=3
  215. stride=1
  216. pad=1
  217. activation=leaky
  218. [route]
  219. layers=-1,-3
  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=32
  230. size=3
  231. stride=1
  232. pad=1
  233. activation=leaky
  234. [route]
  235. layers=-1,-3
  236. [convolutional]
  237. batch_normalize=1
  238. filters=128
  239. size=1
  240. stride=1
  241. pad=1
  242. activation=leaky
  243. [convolutional]
  244. batch_normalize=1
  245. filters=32
  246. size=3
  247. stride=1
  248. pad=1
  249. activation=leaky
  250. [route]
  251. layers=-1,-3
  252. [convolutional]
  253. batch_normalize=1
  254. filters=128
  255. size=1
  256. stride=1
  257. pad=1
  258. activation=leaky
  259. [convolutional]
  260. batch_normalize=1
  261. filters=32
  262. size=3
  263. stride=1
  264. pad=1
  265. activation=leaky
  266. [route]
  267. layers=-1,-3
  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=32
  278. size=3
  279. stride=1
  280. pad=1
  281. activation=leaky
  282. [route]
  283. layers=-1,-3
  284. [convolutional]
  285. batch_normalize=1
  286. filters=128
  287. size=1
  288. stride=1
  289. pad=1
  290. activation=leaky
  291. [convolutional]
  292. batch_normalize=1
  293. filters=32
  294. size=3
  295. stride=1
  296. pad=1
  297. activation=leaky
  298. [route]
  299. layers=-1,-3
  300. [convolutional]
  301. batch_normalize=1
  302. filters=128
  303. size=1
  304. stride=1
  305. pad=1
  306. activation=leaky
  307. [convolutional]
  308. batch_normalize=1
  309. filters=32
  310. size=3
  311. stride=1
  312. pad=1
  313. activation=leaky
  314. [route]
  315. layers=-1,-3
  316. [convolutional]
  317. batch_normalize=1
  318. filters=128
  319. size=1
  320. stride=1
  321. pad=1
  322. activation=leaky
  323. [convolutional]
  324. batch_normalize=1
  325. filters=32
  326. size=3
  327. stride=1
  328. pad=1
  329. activation=leaky
  330. [route]
  331. layers=-1,-3
  332. [convolutional]
  333. batch_normalize=1
  334. filters=256
  335. size=1
  336. stride=1
  337. pad=1
  338. activation=leaky
  339. [maxpool]
  340. size=2
  341. stride=2
  342. [convolutional]
  343. batch_normalize=1
  344. filters=128
  345. size=1
  346. stride=1
  347. pad=1
  348. activation=leaky
  349. [convolutional]
  350. batch_normalize=1
  351. filters=32
  352. size=3
  353. stride=1
  354. pad=1
  355. activation=leaky
  356. [route]
  357. layers=-1,-3
  358. [convolutional]
  359. batch_normalize=1
  360. filters=128
  361. size=1
  362. stride=1
  363. pad=1
  364. activation=leaky
  365. [convolutional]
  366. batch_normalize=1
  367. filters=32
  368. size=3
  369. stride=1
  370. pad=1
  371. activation=leaky
  372. [route]
  373. layers=-1,-3
  374. [convolutional]
  375. batch_normalize=1
  376. filters=128
  377. size=1
  378. stride=1
  379. pad=1
  380. activation=leaky
  381. [convolutional]
  382. batch_normalize=1
  383. filters=32
  384. size=3
  385. stride=1
  386. pad=1
  387. activation=leaky
  388. [route]
  389. layers=-1,-3
  390. [convolutional]
  391. batch_normalize=1
  392. filters=128
  393. size=1
  394. stride=1
  395. pad=1
  396. activation=leaky
  397. [convolutional]
  398. batch_normalize=1
  399. filters=32
  400. size=3
  401. stride=1
  402. pad=1
  403. activation=leaky
  404. [route]
  405. layers=-1,-3
  406. [convolutional]
  407. batch_normalize=1
  408. filters=128
  409. size=1
  410. stride=1
  411. pad=1
  412. activation=leaky
  413. [convolutional]
  414. batch_normalize=1
  415. filters=32
  416. size=3
  417. stride=1
  418. pad=1
  419. activation=leaky
  420. [route]
  421. layers=-1,-3
  422. [convolutional]
  423. batch_normalize=1
  424. filters=128
  425. size=1
  426. stride=1
  427. pad=1
  428. activation=leaky
  429. [convolutional]
  430. batch_normalize=1
  431. filters=32
  432. size=3
  433. stride=1
  434. pad=1
  435. activation=leaky
  436. [route]
  437. layers=-1,-3
  438. [convolutional]
  439. batch_normalize=1
  440. filters=128
  441. size=1
  442. stride=1
  443. pad=1
  444. activation=leaky
  445. [convolutional]
  446. batch_normalize=1
  447. filters=32
  448. size=3
  449. stride=1
  450. pad=1
  451. activation=leaky
  452. [route]
  453. layers=-1,-3
  454. [convolutional]
  455. batch_normalize=1
  456. filters=128
  457. size=1
  458. stride=1
  459. pad=1
  460. activation=leaky
  461. [convolutional]
  462. batch_normalize=1
  463. filters=32
  464. size=3
  465. stride=1
  466. pad=1
  467. activation=leaky
  468. [route]
  469. layers=-1,-3
  470. [convolutional]
  471. batch_normalize=1
  472. filters=128
  473. size=1
  474. stride=1
  475. pad=1
  476. activation=leaky
  477. [convolutional]
  478. batch_normalize=1
  479. filters=32
  480. size=3
  481. stride=1
  482. pad=1
  483. activation=leaky
  484. [route]
  485. layers=-1,-3
  486. [convolutional]
  487. batch_normalize=1
  488. filters=128
  489. size=1
  490. stride=1
  491. pad=1
  492. activation=leaky
  493. [convolutional]
  494. batch_normalize=1
  495. filters=32
  496. size=3
  497. stride=1
  498. pad=1
  499. activation=leaky
  500. [route]
  501. layers=-1,-3
  502. [convolutional]
  503. batch_normalize=1
  504. filters=128
  505. size=1
  506. stride=1
  507. pad=1
  508. activation=leaky
  509. [convolutional]
  510. batch_normalize=1
  511. filters=32
  512. size=3
  513. stride=1
  514. pad=1
  515. activation=leaky
  516. [route]
  517. layers=-1,-3
  518. [convolutional]
  519. batch_normalize=1
  520. filters=128
  521. size=1
  522. stride=1
  523. pad=1
  524. activation=leaky
  525. [convolutional]
  526. batch_normalize=1
  527. filters=32
  528. size=3
  529. stride=1
  530. pad=1
  531. activation=leaky
  532. [route]
  533. layers=-1,-3
  534. [convolutional]
  535. batch_normalize=1
  536. filters=128
  537. size=1
  538. stride=1
  539. pad=1
  540. activation=leaky
  541. [convolutional]
  542. batch_normalize=1
  543. filters=32
  544. size=3
  545. stride=1
  546. pad=1
  547. activation=leaky
  548. [route]
  549. layers=-1,-3
  550. [convolutional]
  551. batch_normalize=1
  552. filters=128
  553. size=1
  554. stride=1
  555. pad=1
  556. activation=leaky
  557. [convolutional]
  558. batch_normalize=1
  559. filters=32
  560. size=3
  561. stride=1
  562. pad=1
  563. activation=leaky
  564. [route]
  565. layers=-1,-3
  566. [convolutional]
  567. batch_normalize=1
  568. filters=128
  569. size=1
  570. stride=1
  571. pad=1
  572. activation=leaky
  573. [convolutional]
  574. batch_normalize=1
  575. filters=32
  576. size=3
  577. stride=1
  578. pad=1
  579. activation=leaky
  580. [route]
  581. layers=-1,-3
  582. [convolutional]
  583. batch_normalize=1
  584. filters=128
  585. size=1
  586. stride=1
  587. pad=1
  588. activation=leaky
  589. [convolutional]
  590. batch_normalize=1
  591. filters=32
  592. size=3
  593. stride=1
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  1451. stride=1
  1452. pad=1
  1453. activation=leaky
  1454. [route]
  1455. layers=-1,-3
  1456. [convolutional]
  1457. batch_normalize=1
  1458. filters=128
  1459. size=1
  1460. stride=1
  1461. pad=1
  1462. activation=leaky
  1463. [convolutional]
  1464. batch_normalize=1
  1465. filters=32
  1466. size=3
  1467. stride=1
  1468. pad=1
  1469. activation=leaky
  1470. [route]
  1471. layers=-1,-3
  1472. [convolutional]
  1473. batch_normalize=1
  1474. filters=128
  1475. size=1
  1476. stride=1
  1477. pad=1
  1478. activation=leaky
  1479. [convolutional]
  1480. batch_normalize=1
  1481. filters=32
  1482. size=3
  1483. stride=1
  1484. pad=1
  1485. activation=leaky
  1486. [route]
  1487. layers=-1,-3
  1488. [convolutional]
  1489. batch_normalize=1
  1490. filters=128
  1491. size=1
  1492. stride=1
  1493. pad=1
  1494. activation=leaky
  1495. [convolutional]
  1496. batch_normalize=1
  1497. filters=32
  1498. size=3
  1499. stride=1
  1500. pad=1
  1501. activation=leaky
  1502. [route]
  1503. layers=-1,-3
  1504. [convolutional]
  1505. batch_normalize=1
  1506. filters=128
  1507. size=1
  1508. stride=1
  1509. pad=1
  1510. activation=leaky
  1511. [convolutional]
  1512. batch_normalize=1
  1513. filters=32
  1514. size=3
  1515. stride=1
  1516. pad=1
  1517. activation=leaky
  1518. [route]
  1519. layers=-1,-3
  1520. [convolutional]
  1521. batch_normalize=1
  1522. filters=128
  1523. size=1
  1524. stride=1
  1525. pad=1
  1526. activation=leaky
  1527. [convolutional]
  1528. batch_normalize=1
  1529. filters=32
  1530. size=3
  1531. stride=1
  1532. pad=1
  1533. activation=leaky
  1534. [route]
  1535. layers=-1,-3
  1536. [convolutional]
  1537. batch_normalize=1
  1538. filters=128
  1539. size=1
  1540. stride=1
  1541. pad=1
  1542. activation=leaky
  1543. [convolutional]
  1544. batch_normalize=1
  1545. filters=32
  1546. size=3
  1547. stride=1
  1548. pad=1
  1549. activation=leaky
  1550. [route]
  1551. layers=-1,-3
  1552. [convolutional]
  1553. batch_normalize=1
  1554. filters=128
  1555. size=1
  1556. stride=1
  1557. pad=1
  1558. activation=leaky
  1559. [convolutional]
  1560. batch_normalize=1
  1561. filters=32
  1562. size=3
  1563. stride=1
  1564. pad=1
  1565. activation=leaky
  1566. [route]
  1567. layers=-1,-3
  1568. [convolutional]
  1569. batch_normalize=1
  1570. filters=128
  1571. size=1
  1572. stride=1
  1573. pad=1
  1574. activation=leaky
  1575. [convolutional]
  1576. batch_normalize=1
  1577. filters=32
  1578. size=3
  1579. stride=1
  1580. pad=1
  1581. activation=leaky
  1582. [route]
  1583. layers=-1,-3
  1584. [convolutional]
  1585. batch_normalize=1
  1586. filters=128
  1587. size=1
  1588. stride=1
  1589. pad=1
  1590. activation=leaky
  1591. [convolutional]
  1592. batch_normalize=1
  1593. filters=32
  1594. size=3
  1595. stride=1
  1596. pad=1
  1597. activation=leaky
  1598. [route]
  1599. layers=-1,-3
  1600. [convolutional]
  1601. batch_normalize=1
  1602. filters=128
  1603. size=1
  1604. stride=1
  1605. pad=1
  1606. activation=leaky
  1607. [convolutional]
  1608. batch_normalize=1
  1609. filters=32
  1610. size=3
  1611. stride=1
  1612. pad=1
  1613. activation=leaky
  1614. [route]
  1615. layers=-1,-3
  1616. [convolutional]
  1617. batch_normalize=1
  1618. filters=128
  1619. size=1
  1620. stride=1
  1621. pad=1
  1622. activation=leaky
  1623. [convolutional]
  1624. batch_normalize=1
  1625. filters=32
  1626. size=3
  1627. stride=1
  1628. pad=1
  1629. activation=leaky
  1630. [route]
  1631. layers=-1,-3
  1632. [convolutional]
  1633. filters=1000
  1634. size=1
  1635. stride=1
  1636. pad=1
  1637. activation=linear
  1638. [avgpool]
  1639. [softmax]
  1640. groups=1