face_landmark_68_model-weights_manifest.json 14KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691
  1. [
  2. {
  3. "weights": [
  4. {
  5. "name": "dense0/conv0/filters",
  6. "shape": [
  7. 3,
  8. 3,
  9. 3,
  10. 32
  11. ],
  12. "dtype": "float32",
  13. "quantization": {
  14. "dtype": "uint8",
  15. "scale": 0.004853619781194949,
  16. "min": -0.5872879935245888
  17. }
  18. },
  19. {
  20. "name": "dense0/conv0/bias",
  21. "shape": [
  22. 32
  23. ],
  24. "dtype": "float32",
  25. "quantization": {
  26. "dtype": "uint8",
  27. "scale": 0.004396426443960153,
  28. "min": -0.7298067896973853
  29. }
  30. },
  31. {
  32. "name": "dense0/conv1/depthwise_filter",
  33. "shape": [
  34. 3,
  35. 3,
  36. 32,
  37. 1
  38. ],
  39. "dtype": "float32",
  40. "quantization": {
  41. "dtype": "uint8",
  42. "scale": 0.00635151559231328,
  43. "min": -0.5589333721235686
  44. }
  45. },
  46. {
  47. "name": "dense0/conv1/pointwise_filter",
  48. "shape": [
  49. 1,
  50. 1,
  51. 32,
  52. 32
  53. ],
  54. "dtype": "float32",
  55. "quantization": {
  56. "dtype": "uint8",
  57. "scale": 0.009354315552057004,
  58. "min": -1.2628325995276957
  59. }
  60. },
  61. {
  62. "name": "dense0/conv1/bias",
  63. "shape": [
  64. 32
  65. ],
  66. "dtype": "float32",
  67. "quantization": {
  68. "dtype": "uint8",
  69. "scale": 0.0029380727048013726,
  70. "min": -0.5846764682554731
  71. }
  72. },
  73. {
  74. "name": "dense0/conv2/depthwise_filter",
  75. "shape": [
  76. 3,
  77. 3,
  78. 32,
  79. 1
  80. ],
  81. "dtype": "float32",
  82. "quantization": {
  83. "dtype": "uint8",
  84. "scale": 0.0049374802439820535,
  85. "min": -0.6171850304977566
  86. }
  87. },
  88. {
  89. "name": "dense0/conv2/pointwise_filter",
  90. "shape": [
  91. 1,
  92. 1,
  93. 32,
  94. 32
  95. ],
  96. "dtype": "float32",
  97. "quantization": {
  98. "dtype": "uint8",
  99. "scale": 0.009941946758943446,
  100. "min": -1.3421628124573652
  101. }
  102. },
  103. {
  104. "name": "dense0/conv2/bias",
  105. "shape": [
  106. 32
  107. ],
  108. "dtype": "float32",
  109. "quantization": {
  110. "dtype": "uint8",
  111. "scale": 0.0030300481062309416,
  112. "min": -0.5272283704841838
  113. }
  114. },
  115. {
  116. "name": "dense0/conv3/depthwise_filter",
  117. "shape": [
  118. 3,
  119. 3,
  120. 32,
  121. 1
  122. ],
  123. "dtype": "float32",
  124. "quantization": {
  125. "dtype": "uint8",
  126. "scale": 0.005672684837790097,
  127. "min": -0.7431217137505026
  128. }
  129. },
  130. {
  131. "name": "dense0/conv3/pointwise_filter",
  132. "shape": [
  133. 1,
  134. 1,
  135. 32,
  136. 32
  137. ],
  138. "dtype": "float32",
  139. "quantization": {
  140. "dtype": "uint8",
  141. "scale": 0.010712201455060173,
  142. "min": -1.5639814124387852
  143. }
  144. },
  145. {
  146. "name": "dense0/conv3/bias",
  147. "shape": [
  148. 32
  149. ],
  150. "dtype": "float32",
  151. "quantization": {
  152. "dtype": "uint8",
  153. "scale": 0.0030966934035806097,
  154. "min": -0.3839899820439956
  155. }
  156. },
  157. {
  158. "name": "dense1/conv0/depthwise_filter",
  159. "shape": [
  160. 3,
  161. 3,
  162. 32,
  163. 1
  164. ],
  165. "dtype": "float32",
  166. "quantization": {
  167. "dtype": "uint8",
  168. "scale": 0.0039155554537679636,
  169. "min": -0.48161332081345953
  170. }
  171. },
  172. {
  173. "name": "dense1/conv0/pointwise_filter",
  174. "shape": [
  175. 1,
  176. 1,
  177. 32,
  178. 64
  179. ],
  180. "dtype": "float32",
  181. "quantization": {
  182. "dtype": "uint8",
  183. "scale": 0.01023082966898002,
  184. "min": -1.094698774580862
  185. }
  186. },
  187. {
  188. "name": "dense1/conv0/bias",
  189. "shape": [
  190. 64
  191. ],
  192. "dtype": "float32",
  193. "quantization": {
  194. "dtype": "uint8",
  195. "scale": 0.0027264176630506327,
  196. "min": -0.3871513081531898
  197. }
  198. },
  199. {
  200. "name": "dense1/conv1/depthwise_filter",
  201. "shape": [
  202. 3,
  203. 3,
  204. 64,
  205. 1
  206. ],
  207. "dtype": "float32",
  208. "quantization": {
  209. "dtype": "uint8",
  210. "scale": 0.004583378632863362,
  211. "min": -0.5454220573107401
  212. }
  213. },
  214. {
  215. "name": "dense1/conv1/pointwise_filter",
  216. "shape": [
  217. 1,
  218. 1,
  219. 64,
  220. 64
  221. ],
  222. "dtype": "float32",
  223. "quantization": {
  224. "dtype": "uint8",
  225. "scale": 0.00915846403907327,
  226. "min": -1.117332612766939
  227. }
  228. },
  229. {
  230. "name": "dense1/conv1/bias",
  231. "shape": [
  232. 64
  233. ],
  234. "dtype": "float32",
  235. "quantization": {
  236. "dtype": "uint8",
  237. "scale": 0.003091680419211294,
  238. "min": -0.5966943209077797
  239. }
  240. },
  241. {
  242. "name": "dense1/conv2/depthwise_filter",
  243. "shape": [
  244. 3,
  245. 3,
  246. 64,
  247. 1
  248. ],
  249. "dtype": "float32",
  250. "quantization": {
  251. "dtype": "uint8",
  252. "scale": 0.005407439727409214,
  253. "min": -0.708374604290607
  254. }
  255. },
  256. {
  257. "name": "dense1/conv2/pointwise_filter",
  258. "shape": [
  259. 1,
  260. 1,
  261. 64,
  262. 64
  263. ],
  264. "dtype": "float32",
  265. "quantization": {
  266. "dtype": "uint8",
  267. "scale": 0.00946493943532308,
  268. "min": -1.2399070660273235
  269. }
  270. },
  271. {
  272. "name": "dense1/conv2/bias",
  273. "shape": [
  274. 64
  275. ],
  276. "dtype": "float32",
  277. "quantization": {
  278. "dtype": "uint8",
  279. "scale": 0.004409168514550901,
  280. "min": -0.9788354102303
  281. }
  282. },
  283. {
  284. "name": "dense1/conv3/depthwise_filter",
  285. "shape": [
  286. 3,
  287. 3,
  288. 64,
  289. 1
  290. ],
  291. "dtype": "float32",
  292. "quantization": {
  293. "dtype": "uint8",
  294. "scale": 0.004478132958505668,
  295. "min": -0.6493292789833219
  296. }
  297. },
  298. {
  299. "name": "dense1/conv3/pointwise_filter",
  300. "shape": [
  301. 1,
  302. 1,
  303. 64,
  304. 64
  305. ],
  306. "dtype": "float32",
  307. "quantization": {
  308. "dtype": "uint8",
  309. "scale": 0.011063695888893277,
  310. "min": -1.2501976354449402
  311. }
  312. },
  313. {
  314. "name": "dense1/conv3/bias",
  315. "shape": [
  316. 64
  317. ],
  318. "dtype": "float32",
  319. "quantization": {
  320. "dtype": "uint8",
  321. "scale": 0.003909627596537272,
  322. "min": -0.6646366914113363
  323. }
  324. },
  325. {
  326. "name": "dense2/conv0/depthwise_filter",
  327. "shape": [
  328. 3,
  329. 3,
  330. 64,
  331. 1
  332. ],
  333. "dtype": "float32",
  334. "quantization": {
  335. "dtype": "uint8",
  336. "scale": 0.003213915404151468,
  337. "min": -0.3374611174359041
  338. }
  339. },
  340. {
  341. "name": "dense2/conv0/pointwise_filter",
  342. "shape": [
  343. 1,
  344. 1,
  345. 64,
  346. 128
  347. ],
  348. "dtype": "float32",
  349. "quantization": {
  350. "dtype": "uint8",
  351. "scale": 0.010917326048308728,
  352. "min": -1.4520043644250609
  353. }
  354. },
  355. {
  356. "name": "dense2/conv0/bias",
  357. "shape": [
  358. 128
  359. ],
  360. "dtype": "float32",
  361. "quantization": {
  362. "dtype": "uint8",
  363. "scale": 0.002800439152063108,
  364. "min": -0.38085972468058266
  365. }
  366. },
  367. {
  368. "name": "dense2/conv1/depthwise_filter",
  369. "shape": [
  370. 3,
  371. 3,
  372. 128,
  373. 1
  374. ],
  375. "dtype": "float32",
  376. "quantization": {
  377. "dtype": "uint8",
  378. "scale": 0.0050568851770139206,
  379. "min": -0.6927932692509071
  380. }
  381. },
  382. {
  383. "name": "dense2/conv1/pointwise_filter",
  384. "shape": [
  385. 1,
  386. 1,
  387. 128,
  388. 128
  389. ],
  390. "dtype": "float32",
  391. "quantization": {
  392. "dtype": "uint8",
  393. "scale": 0.01074961213504567,
  394. "min": -1.3222022926106174
  395. }
  396. },
  397. {
  398. "name": "dense2/conv1/bias",
  399. "shape": [
  400. 128
  401. ],
  402. "dtype": "float32",
  403. "quantization": {
  404. "dtype": "uint8",
  405. "scale": 0.0030654204242369708,
  406. "min": -0.5487102559384177
  407. }
  408. },
  409. {
  410. "name": "dense2/conv2/depthwise_filter",
  411. "shape": [
  412. 3,
  413. 3,
  414. 128,
  415. 1
  416. ],
  417. "dtype": "float32",
  418. "quantization": {
  419. "dtype": "uint8",
  420. "scale": 0.00591809165244009,
  421. "min": -0.917304206128214
  422. }
  423. },
  424. {
  425. "name": "dense2/conv2/pointwise_filter",
  426. "shape": [
  427. 1,
  428. 1,
  429. 128,
  430. 128
  431. ],
  432. "dtype": "float32",
  433. "quantization": {
  434. "dtype": "uint8",
  435. "scale": 0.01092823346455892,
  436. "min": -1.366029183069865
  437. }
  438. },
  439. {
  440. "name": "dense2/conv2/bias",
  441. "shape": [
  442. 128
  443. ],
  444. "dtype": "float32",
  445. "quantization": {
  446. "dtype": "uint8",
  447. "scale": 0.002681120470458386,
  448. "min": -0.36463238398234055
  449. }
  450. },
  451. {
  452. "name": "dense2/conv3/depthwise_filter",
  453. "shape": [
  454. 3,
  455. 3,
  456. 128,
  457. 1
  458. ],
  459. "dtype": "float32",
  460. "quantization": {
  461. "dtype": "uint8",
  462. "scale": 0.0048311497650894465,
  463. "min": -0.5797379718107336
  464. }
  465. },
  466. {
  467. "name": "dense2/conv3/pointwise_filter",
  468. "shape": [
  469. 1,
  470. 1,
  471. 128,
  472. 128
  473. ],
  474. "dtype": "float32",
  475. "quantization": {
  476. "dtype": "uint8",
  477. "scale": 0.011227761062921263,
  478. "min": -1.4483811771168429
  479. }
  480. },
  481. {
  482. "name": "dense2/conv3/bias",
  483. "shape": [
  484. 128
  485. ],
  486. "dtype": "float32",
  487. "quantization": {
  488. "dtype": "uint8",
  489. "scale": 0.0034643323982463162,
  490. "min": -0.3360402426298927
  491. }
  492. },
  493. {
  494. "name": "dense3/conv0/depthwise_filter",
  495. "shape": [
  496. 3,
  497. 3,
  498. 128,
  499. 1
  500. ],
  501. "dtype": "float32",
  502. "quantization": {
  503. "dtype": "uint8",
  504. "scale": 0.003394978887894574,
  505. "min": -0.49227193874471326
  506. }
  507. },
  508. {
  509. "name": "dense3/conv0/pointwise_filter",
  510. "shape": [
  511. 1,
  512. 1,
  513. 128,
  514. 256
  515. ],
  516. "dtype": "float32",
  517. "quantization": {
  518. "dtype": "uint8",
  519. "scale": 0.010051267287310432,
  520. "min": -1.2765109454884247
  521. }
  522. },
  523. {
  524. "name": "dense3/conv0/bias",
  525. "shape": [
  526. 256
  527. ],
  528. "dtype": "float32",
  529. "quantization": {
  530. "dtype": "uint8",
  531. "scale": 0.003142924752889895,
  532. "min": -0.4588670139219247
  533. }
  534. },
  535. {
  536. "name": "dense3/conv1/depthwise_filter",
  537. "shape": [
  538. 3,
  539. 3,
  540. 256,
  541. 1
  542. ],
  543. "dtype": "float32",
  544. "quantization": {
  545. "dtype": "uint8",
  546. "scale": 0.00448304671867221,
  547. "min": -0.5872791201460595
  548. }
  549. },
  550. {
  551. "name": "dense3/conv1/pointwise_filter",
  552. "shape": [
  553. 1,
  554. 1,
  555. 256,
  556. 256
  557. ],
  558. "dtype": "float32",
  559. "quantization": {
  560. "dtype": "uint8",
  561. "scale": 0.016063522357566685,
  562. "min": -2.3613377865623026
  563. }
  564. },
  565. {
  566. "name": "dense3/conv1/bias",
  567. "shape": [
  568. 256
  569. ],
  570. "dtype": "float32",
  571. "quantization": {
  572. "dtype": "uint8",
  573. "scale": 0.00287135781026354,
  574. "min": -0.47664539650374765
  575. }
  576. },
  577. {
  578. "name": "dense3/conv2/depthwise_filter",
  579. "shape": [
  580. 3,
  581. 3,
  582. 256,
  583. 1
  584. ],
  585. "dtype": "float32",
  586. "quantization": {
  587. "dtype": "uint8",
  588. "scale": 0.006002906724518421,
  589. "min": -0.7923836876364315
  590. }
  591. },
  592. {
  593. "name": "dense3/conv2/pointwise_filter",
  594. "shape": [
  595. 1,
  596. 1,
  597. 256,
  598. 256
  599. ],
  600. "dtype": "float32",
  601. "quantization": {
  602. "dtype": "uint8",
  603. "scale": 0.017087187019048954,
  604. "min": -1.6061955797906016
  605. }
  606. },
  607. {
  608. "name": "dense3/conv2/bias",
  609. "shape": [
  610. 256
  611. ],
  612. "dtype": "float32",
  613. "quantization": {
  614. "dtype": "uint8",
  615. "scale": 0.003124481205846749,
  616. "min": -0.46242321846531886
  617. }
  618. },
  619. {
  620. "name": "dense3/conv3/depthwise_filter",
  621. "shape": [
  622. 3,
  623. 3,
  624. 256,
  625. 1
  626. ],
  627. "dtype": "float32",
  628. "quantization": {
  629. "dtype": "uint8",
  630. "scale": 0.006576311588287353,
  631. "min": -1.0193282961845398
  632. }
  633. },
  634. {
  635. "name": "dense3/conv3/pointwise_filter",
  636. "shape": [
  637. 1,
  638. 1,
  639. 256,
  640. 256
  641. ],
  642. "dtype": "float32",
  643. "quantization": {
  644. "dtype": "uint8",
  645. "scale": 0.015590153955945782,
  646. "min": -1.99553970636106
  647. }
  648. },
  649. {
  650. "name": "dense3/conv3/bias",
  651. "shape": [
  652. 256
  653. ],
  654. "dtype": "float32",
  655. "quantization": {
  656. "dtype": "uint8",
  657. "scale": 0.004453541601405424,
  658. "min": -0.6546706154065973
  659. }
  660. },
  661. {
  662. "name": "fc/weights",
  663. "shape": [
  664. 256,
  665. 136
  666. ],
  667. "dtype": "float32",
  668. "quantization": {
  669. "dtype": "uint8",
  670. "scale": 0.010417488509533453,
  671. "min": -1.500118345372817
  672. }
  673. },
  674. {
  675. "name": "fc/bias",
  676. "shape": [
  677. 136
  678. ],
  679. "dtype": "float32",
  680. "quantization": {
  681. "dtype": "uint8",
  682. "scale": 0.0025084222648658005,
  683. "min": 0.07683877646923065
  684. }
  685. }
  686. ],
  687. "paths": [
  688. "face_landmark_68_model-shard1.js"
  689. ]
  690. }
  691. ]