densenet201_yolo.cfg 20 KB

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  1. [net]
  2. batch=64
  3. subdivisions=8
  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=128
  31. size=1
  32. stride=1
  33. pad=1
  34. activation=leaky
  35. [convolutional]
  36. batch_normalize=1
  37. filters=32
  38. size=3
  39. stride=1
  40. pad=1
  41. activation=leaky
  42. [route]
  43. layers=-1,-3
  44. [convolutional]
  45. batch_normalize=1
  46. filters=128
  47. size=1
  48. stride=1
  49. pad=1
  50. activation=leaky
  51. [convolutional]
  52. batch_normalize=1
  53. filters=32
  54. size=3
  55. stride=1
  56. pad=1
  57. activation=leaky
  58. [route]
  59. layers=-1,-3
  60. [convolutional]
  61. batch_normalize=1
  62. filters=128
  63. size=1
  64. stride=1
  65. pad=1
  66. activation=leaky
  67. [convolutional]
  68. batch_normalize=1
  69. filters=32
  70. size=3
  71. stride=1
  72. pad=1
  73. activation=leaky
  74. [route]
  75. layers=-1,-3
  76. [convolutional]
  77. batch_normalize=1
  78. filters=128
  79. size=1
  80. stride=1
  81. pad=1
  82. activation=leaky
  83. [convolutional]
  84. batch_normalize=1
  85. filters=32
  86. size=3
  87. stride=1
  88. pad=1
  89. activation=leaky
  90. [route]
  91. layers=-1,-3
  92. [convolutional]
  93. batch_normalize=1
  94. filters=128
  95. size=1
  96. stride=1
  97. pad=1
  98. activation=leaky
  99. [convolutional]
  100. batch_normalize=1
  101. filters=32
  102. size=3
  103. stride=1
  104. pad=1
  105. activation=leaky
  106. [route]
  107. layers=-1,-3
  108. [convolutional]
  109. batch_normalize=1
  110. filters=128
  111. size=1
  112. stride=1
  113. pad=1
  114. activation=leaky
  115. [convolutional]
  116. batch_normalize=1
  117. filters=32
  118. size=3
  119. stride=1
  120. pad=1
  121. activation=leaky
  122. [route]
  123. layers=-1,-3
  124. [convolutional]
  125. batch_normalize=1
  126. filters=128
  127. size=1
  128. stride=1
  129. pad=1
  130. activation=leaky
  131. [maxpool]
  132. size=2
  133. stride=2
  134. [convolutional]
  135. batch_normalize=1
  136. filters=128
  137. size=1
  138. stride=1
  139. pad=1
  140. activation=leaky
  141. [convolutional]
  142. batch_normalize=1
  143. filters=32
  144. size=3
  145. stride=1
  146. pad=1
  147. activation=leaky
  148. [route]
  149. layers=-1,-3
  150. [convolutional]
  151. batch_normalize=1
  152. filters=128
  153. size=1
  154. stride=1
  155. pad=1
  156. activation=leaky
  157. [convolutional]
  158. batch_normalize=1
  159. filters=32
  160. size=3
  161. stride=1
  162. pad=1
  163. activation=leaky
  164. [route]
  165. layers=-1,-3
  166. [convolutional]
  167. batch_normalize=1
  168. filters=128
  169. size=1
  170. stride=1
  171. pad=1
  172. activation=leaky
  173. [convolutional]
  174. batch_normalize=1
  175. filters=32
  176. size=3
  177. stride=1
  178. pad=1
  179. activation=leaky
  180. [route]
  181. layers=-1,-3
  182. [convolutional]
  183. batch_normalize=1
  184. filters=128
  185. size=1
  186. stride=1
  187. pad=1
  188. activation=leaky
  189. [convolutional]
  190. batch_normalize=1
  191. filters=32
  192. size=3
  193. stride=1
  194. pad=1
  195. activation=leaky
  196. [route]
  197. layers=-1,-3
  198. [convolutional]
  199. batch_normalize=1
  200. filters=128
  201. size=1
  202. stride=1
  203. pad=1
  204. activation=leaky
  205. [convolutional]
  206. batch_normalize=1
  207. filters=32
  208. size=3
  209. stride=1
  210. pad=1
  211. activation=leaky
  212. [route]
  213. layers=-1,-3
  214. [convolutional]
  215. batch_normalize=1
  216. filters=128
  217. size=1
  218. stride=1
  219. pad=1
  220. activation=leaky
  221. [convolutional]
  222. batch_normalize=1
  223. filters=32
  224. size=3
  225. stride=1
  226. pad=1
  227. activation=leaky
  228. [route]
  229. layers=-1,-3
  230. [convolutional]
  231. batch_normalize=1
  232. filters=128
  233. size=1
  234. stride=1
  235. pad=1
  236. activation=leaky
  237. [convolutional]
  238. batch_normalize=1
  239. filters=32
  240. size=3
  241. stride=1
  242. pad=1
  243. activation=leaky
  244. [route]
  245. layers=-1,-3
  246. [convolutional]
  247. batch_normalize=1
  248. filters=128
  249. size=1
  250. stride=1
  251. pad=1
  252. activation=leaky
  253. [convolutional]
  254. batch_normalize=1
  255. filters=32
  256. size=3
  257. stride=1
  258. pad=1
  259. activation=leaky
  260. [route]
  261. layers=-1,-3
  262. [convolutional]
  263. batch_normalize=1
  264. filters=128
  265. size=1
  266. stride=1
  267. pad=1
  268. activation=leaky
  269. [convolutional]
  270. batch_normalize=1
  271. filters=32
  272. size=3
  273. stride=1
  274. pad=1
  275. activation=leaky
  276. [route]
  277. layers=-1,-3
  278. [convolutional]
  279. batch_normalize=1
  280. filters=128
  281. size=1
  282. stride=1
  283. pad=1
  284. activation=leaky
  285. [convolutional]
  286. batch_normalize=1
  287. filters=32
  288. size=3
  289. stride=1
  290. pad=1
  291. activation=leaky
  292. [route]
  293. layers=-1,-3
  294. [convolutional]
  295. batch_normalize=1
  296. filters=128
  297. size=1
  298. stride=1
  299. pad=1
  300. activation=leaky
  301. [convolutional]
  302. batch_normalize=1
  303. filters=32
  304. size=3
  305. stride=1
  306. pad=1
  307. activation=leaky
  308. [route]
  309. layers=-1,-3
  310. [convolutional]
  311. batch_normalize=1
  312. filters=128
  313. size=1
  314. stride=1
  315. pad=1
  316. activation=leaky
  317. [convolutional]
  318. batch_normalize=1
  319. filters=32
  320. size=3
  321. stride=1
  322. pad=1
  323. activation=leaky
  324. [route]
  325. layers=-1,-3
  326. [convolutional]
  327. batch_normalize=1
  328. filters=256
  329. size=1
  330. stride=1
  331. pad=1
  332. activation=leaky
  333. [maxpool]
  334. size=2
  335. stride=2
  336. [convolutional]
  337. batch_normalize=1
  338. filters=128
  339. size=1
  340. stride=1
  341. pad=1
  342. activation=leaky
  343. [convolutional]
  344. batch_normalize=1
  345. filters=32
  346. size=3
  347. stride=1
  348. pad=1
  349. activation=leaky
  350. [route]
  351. layers=-1,-3
  352. [convolutional]
  353. batch_normalize=1
  354. filters=128
  355. size=1
  356. stride=1
  357. pad=1
  358. activation=leaky
  359. [convolutional]
  360. batch_normalize=1
  361. filters=32
  362. size=3
  363. stride=1
  364. pad=1
  365. activation=leaky
  366. [route]
  367. layers=-1,-3
  368. [convolutional]
  369. batch_normalize=1
  370. filters=128
  371. size=1
  372. stride=1
  373. pad=1
  374. activation=leaky
  375. [convolutional]
  376. batch_normalize=1
  377. filters=32
  378. size=3
  379. stride=1
  380. pad=1
  381. activation=leaky
  382. [route]
  383. layers=-1,-3
  384. [convolutional]
  385. batch_normalize=1
  386. filters=128
  387. size=1
  388. stride=1
  389. pad=1
  390. activation=leaky
  391. [convolutional]
  392. batch_normalize=1
  393. filters=32
  394. size=3
  395. stride=1
  396. pad=1
  397. activation=leaky
  398. [route]
  399. layers=-1,-3
  400. [convolutional]
  401. batch_normalize=1
  402. filters=128
  403. size=1
  404. stride=1
  405. pad=1
  406. activation=leaky
  407. [convolutional]
  408. batch_normalize=1
  409. filters=32
  410. size=3
  411. stride=1
  412. pad=1
  413. activation=leaky
  414. [route]
  415. layers=-1,-3
  416. [convolutional]
  417. batch_normalize=1
  418. filters=128
  419. size=1
  420. stride=1
  421. pad=1
  422. activation=leaky
  423. [convolutional]
  424. batch_normalize=1
  425. filters=32
  426. size=3
  427. stride=1
  428. pad=1
  429. activation=leaky
  430. [route]
  431. layers=-1,-3
  432. [convolutional]
  433. batch_normalize=1
  434. filters=128
  435. size=1
  436. stride=1
  437. pad=1
  438. activation=leaky
  439. [convolutional]
  440. batch_normalize=1
  441. filters=32
  442. size=3
  443. stride=1
  444. pad=1
  445. activation=leaky
  446. [route]
  447. layers=-1,-3
  448. [convolutional]
  449. batch_normalize=1
  450. filters=128
  451. size=1
  452. stride=1
  453. pad=1
  454. activation=leaky
  455. [convolutional]
  456. batch_normalize=1
  457. filters=32
  458. size=3
  459. stride=1
  460. pad=1
  461. activation=leaky
  462. [route]
  463. layers=-1,-3
  464. [convolutional]
  465. batch_normalize=1
  466. filters=128
  467. size=1
  468. stride=1
  469. pad=1
  470. activation=leaky
  471. [convolutional]
  472. batch_normalize=1
  473. filters=32
  474. size=3
  475. stride=1
  476. pad=1
  477. activation=leaky
  478. [route]
  479. layers=-1,-3
  480. [convolutional]
  481. batch_normalize=1
  482. filters=128
  483. size=1
  484. stride=1
  485. pad=1
  486. activation=leaky
  487. [convolutional]
  488. batch_normalize=1
  489. filters=32
  490. size=3
  491. stride=1
  492. pad=1
  493. activation=leaky
  494. [route]
  495. layers=-1,-3
  496. [convolutional]
  497. batch_normalize=1
  498. filters=128
  499. size=1
  500. stride=1
  501. pad=1
  502. activation=leaky
  503. [convolutional]
  504. batch_normalize=1
  505. filters=32
  506. size=3
  507. stride=1
  508. pad=1
  509. activation=leaky
  510. [route]
  511. layers=-1,-3
  512. [convolutional]
  513. batch_normalize=1
  514. filters=128
  515. size=1
  516. stride=1
  517. pad=1
  518. activation=leaky
  519. [convolutional]
  520. batch_normalize=1
  521. filters=32
  522. size=3
  523. stride=1
  524. pad=1
  525. activation=leaky
  526. [route]
  527. layers=-1,-3
  528. [convolutional]
  529. batch_normalize=1
  530. filters=128
  531. size=1
  532. stride=1
  533. pad=1
  534. activation=leaky
  535. [convolutional]
  536. batch_normalize=1
  537. filters=32
  538. size=3
  539. stride=1
  540. pad=1
  541. activation=leaky
  542. [route]
  543. layers=-1,-3
  544. [convolutional]
  545. batch_normalize=1
  546. filters=128
  547. size=1
  548. stride=1
  549. pad=1
  550. activation=leaky
  551. [convolutional]
  552. batch_normalize=1
  553. filters=32
  554. size=3
  555. stride=1
  556. pad=1
  557. activation=leaky
  558. [route]
  559. layers=-1,-3
  560. [convolutional]
  561. batch_normalize=1
  562. filters=128
  563. size=1
  564. stride=1
  565. pad=1
  566. activation=leaky
  567. [convolutional]
  568. batch_normalize=1
  569. filters=32
  570. size=3
  571. stride=1
  572. pad=1
  573. activation=leaky
  574. [route]
  575. layers=-1,-3
  576. [convolutional]
  577. batch_normalize=1
  578. filters=128
  579. size=1
  580. stride=1
  581. pad=1
  582. activation=leaky
  583. [convolutional]
  584. batch_normalize=1
  585. filters=32
  586. size=3
  587. stride=1
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  1448. [route]
  1449. layers=-1,-3
  1450. [convolutional]
  1451. batch_normalize=1
  1452. filters=128
  1453. size=1
  1454. stride=1
  1455. pad=1
  1456. activation=leaky
  1457. [convolutional]
  1458. batch_normalize=1
  1459. filters=32
  1460. size=3
  1461. stride=1
  1462. pad=1
  1463. activation=leaky
  1464. [route]
  1465. layers=-1,-3
  1466. [convolutional]
  1467. batch_normalize=1
  1468. filters=128
  1469. size=1
  1470. stride=1
  1471. pad=1
  1472. activation=leaky
  1473. [convolutional]
  1474. batch_normalize=1
  1475. filters=32
  1476. size=3
  1477. stride=1
  1478. pad=1
  1479. activation=leaky
  1480. [route]
  1481. layers=-1,-3
  1482. [convolutional]
  1483. batch_normalize=1
  1484. filters=128
  1485. size=1
  1486. stride=1
  1487. pad=1
  1488. activation=leaky
  1489. [convolutional]
  1490. batch_normalize=1
  1491. filters=32
  1492. size=3
  1493. stride=1
  1494. pad=1
  1495. activation=leaky
  1496. [route]
  1497. layers=-1,-3
  1498. [convolutional]
  1499. batch_normalize=1
  1500. filters=128
  1501. size=1
  1502. stride=1
  1503. pad=1
  1504. activation=leaky
  1505. [convolutional]
  1506. batch_normalize=1
  1507. filters=32
  1508. size=3
  1509. stride=1
  1510. pad=1
  1511. activation=leaky
  1512. [route]
  1513. layers=-1,-3
  1514. [convolutional]
  1515. batch_normalize=1
  1516. filters=128
  1517. size=1
  1518. stride=1
  1519. pad=1
  1520. activation=leaky
  1521. [convolutional]
  1522. batch_normalize=1
  1523. filters=32
  1524. size=3
  1525. stride=1
  1526. pad=1
  1527. activation=leaky
  1528. [route]
  1529. layers=-1,-3
  1530. [convolutional]
  1531. batch_normalize=1
  1532. filters=128
  1533. size=1
  1534. stride=1
  1535. pad=1
  1536. activation=leaky
  1537. [convolutional]
  1538. batch_normalize=1
  1539. filters=32
  1540. size=3
  1541. stride=1
  1542. pad=1
  1543. activation=leaky
  1544. [route]
  1545. layers=-1,-3
  1546. [convolutional]
  1547. batch_normalize=1
  1548. filters=128
  1549. size=1
  1550. stride=1
  1551. pad=1
  1552. activation=leaky
  1553. [convolutional]
  1554. batch_normalize=1
  1555. filters=32
  1556. size=3
  1557. stride=1
  1558. pad=1
  1559. activation=leaky
  1560. [route]
  1561. layers=-1,-3
  1562. [convolutional]
  1563. batch_normalize=1
  1564. filters=128
  1565. size=1
  1566. stride=1
  1567. pad=1
  1568. activation=leaky
  1569. [convolutional]
  1570. batch_normalize=1
  1571. filters=32
  1572. size=3
  1573. stride=1
  1574. pad=1
  1575. activation=leaky
  1576. [route]
  1577. layers=-1,-3
  1578. [convolutional]
  1579. batch_normalize=1
  1580. filters=128
  1581. size=1
  1582. stride=1
  1583. pad=1
  1584. activation=leaky
  1585. [convolutional]
  1586. batch_normalize=1
  1587. filters=32
  1588. size=3
  1589. stride=1
  1590. pad=1
  1591. activation=leaky
  1592. [route]
  1593. layers=-1,-3
  1594. [convolutional]
  1595. batch_normalize=1
  1596. filters=128
  1597. size=1
  1598. stride=1
  1599. pad=1
  1600. activation=leaky
  1601. [convolutional]
  1602. batch_normalize=1
  1603. filters=32
  1604. size=3
  1605. stride=1
  1606. pad=1
  1607. activation=leaky
  1608. [route]
  1609. layers=-1,-3
  1610. [convolutional]
  1611. batch_normalize=1
  1612. filters=128
  1613. size=1
  1614. stride=1
  1615. pad=1
  1616. activation=leaky
  1617. [convolutional]
  1618. batch_normalize=1
  1619. filters=32
  1620. size=3
  1621. stride=1
  1622. pad=1
  1623. activation=leaky
  1624. [route]
  1625. layers=-1,-3
  1626. #stopbackward=1
  1627. [convolutional]
  1628. batch_normalize=1
  1629. size=1
  1630. stride=1
  1631. pad=1
  1632. filters=1024
  1633. activation=leaky
  1634. [convolutional]
  1635. batch_normalize=1
  1636. size=3
  1637. stride=1
  1638. pad=1
  1639. filters=1024
  1640. activation=leaky
  1641. [convolutional]
  1642. size=1
  1643. stride=1
  1644. pad=1
  1645. filters=125
  1646. activation=linear
  1647. [region]
  1648. anchors = 1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071
  1649. bias_match=1
  1650. classes=20
  1651. coords=4
  1652. num=5
  1653. softmax=1
  1654. jitter=.3
  1655. rescore=1
  1656. object_scale=5
  1657. noobject_scale=1
  1658. class_scale=1
  1659. coord_scale=1
  1660. absolute=1
  1661. thresh = .6
  1662. random=0