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MisterMap
/
lie-pose-net
mirror of https://github.com/MisterMap/lie-pose-net

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  1. train-pose-net:
    2. 

  2.   cmd: python train.py --config configs/pose_net.yaml --out models/pose_net.pth --seed
    3. 

  3.     1 --gpu 1 --log_every_n_steps 1
    4. 

  4.   deps:
    5. 

  5.   - path: lieposenet
    6. 

  6.     md5: ceee33cedeed84daf9c06760e7c301b4.dir
    7. 

  7.     size: 102472
    8. 

  8.     nfiles: 47
    9. 

  9.   - path: train.py
    10. 

  10.     md5: ceb05b50de7c71946a909cc44dc939aa
    11. 

  11.     size: 1780
    12. 

  12.   params:
    13. 

  13.     configs/pose_net.yaml:
    14. 

  14.       data_module:
    15. 

  15.         batch_size: 32
    16. 

  16.         use_test: true
    17. 

  17.         num_workers: 4
    18. 

  18.       max_epochs: 15
    19. 

  19.       model:
    20. 

  20.         name: pose_net
    21. 

  21.         feature_extractor:
    22. 

  22.           name: resnet34
    23. 

  23.           pretrained: true
    24. 

  24.         criterion:
    25. 

  25.           name: se3
    26. 

  26.         feature_dimension: 2048
    27. 

  27.         drop_rate: 0.15
    28. 

  28.         optimizer:
    29. 

  29.           betas: 0.9 0.999
    30. 

  30.           lr: 0.0001
    31. 

  31.           weight_decay: 0.0005
    32. 

  32.         scheduler:
    33. 

  33.           step_size: 2
    34. 

  34.           gamma: 0.5
    35. 

  35.         bias: true
    36. 

  36.   outs:
    37. 

  37.   - path: models/pose_net.pth.ckpt
    38. 

  38.     md5: 38250b40f095515c11e68854b8f14ed8
    39. 

  39.     size: 268930751
    40. 

  40. test-pose-net:
    41. 

  41.   cmd: python eval.py --config configs/pose_net.yaml --model models/pose_net.pth.ckpt
    42. 

  42.     --seed 1 --gpu 1 --log_every_n_steps 1
    43. 

  43.   deps:
    44. 

  44.   - path: eval.py
    45. 

  45.     md5: 26b2f43da3a26164ef75e5cd753265da
    46. 

  46.     size: 2073
    47. 

  47.   - path: lieposenet
    48. 

  48.     md5: ceee33cedeed84daf9c06760e7c301b4.dir
    49. 

  49.     size: 102472
    50. 

  50.     nfiles: 47
    51. 

  51.   - path: models/pose_net.pth.ckpt
    52. 

  52.     md5: 38250b40f095515c11e68854b8f14ed8
    53. 

  53.     size: 268930751
    54. 

  54.   params:
    55. 

  55.     configs/pose_net.yaml:
    56. 

  56.       data_module:
    57. 

  57.         batch_size: 32
    58. 

  58.         use_test: true
    59. 

  59.         num_workers: 4
    60. 

  60.       model:
    61. 

  61.         name: pose_net
    62. 

  62.         feature_extractor:
    63. 

  63.           name: resnet34
    64. 

  64.           pretrained: true
    65. 

  65.         criterion:
    66. 

  66.           name: se3
    67. 

  67.         feature_dimension: 2048
    68. 

  68.         drop_rate: 0.15
    69. 

  69.         optimizer:
    70. 

  70.           betas: 0.9 0.999
    71. 

  71.           lr: 0.0001
    72. 

  72.           weight_decay: 0.0005
    73. 

  73.         scheduler:
    74. 

  74.           step_size: 2
    75. 

  75.           gamma: 0.5
    76. 

  76.         bias: true
    77. 

  77.   outs:
    78. 

  78.   - path: metrics.json
    79. 

  79.     md5: 6d065f44c9f94ff21e6f7921cbb93c5b
    80. 

  80.     size: 199
    81. 

  81.   - path: trajectories.npy
    82. 

  82.     md5: 74176dad648bfa49cebebc7204800e5e
    83. 

  83.     size: 336644
    84. 

  84. train-fire:
    85. 

  85.   cmd: python train.py --config configs/pose_net.yaml --dataset_name fire --out models/fire_pose_net.pth
    86. 

  86.     --seed 1 --gpu 1 --log_every_n_steps 1
    87. 

  87.   deps:
    88. 

  88.   - path: lieposenet
    89. 

  89.     md5: f86c626e103eba800593fde6688c1c5d.dir
    90. 

  90.     size: 134133
    91. 

  91.     nfiles: 63
    92. 

  92.   - path: train.py
    93. 

  93.     md5: bdff4162076735ab4a293268f8f72166
    94. 

  94.     size: 2565
    95. 

  95.   params:
    96. 

  96.     configs/pose_net.yaml:
    97. 

  97.       data_module:
    98. 

  98.         batch_size: 64
    99. 

  99.         use_test: true
    100. 

  100.         num_workers: 4
    101. 

  101.         image_size: 256
    102. 

  102.       max_epochs: 300
    103. 

  103.       model:
    104. 

  104.         name: pose_net
    105. 

  105.         feature_extractor:
    106. 

  106.           name: resnet34
    107. 

  107.           pretrained: true
    108. 

  108.         criterion:
    109. 

  109.           name: se3
    110. 

  110.           rotation_koef: -3.0
    111. 

  111.           translation_koef: -3.0
    112. 

  112.         feature_dimension: 32
    113. 

  113.         drop_rate: 0
    114. 

  114.         optimizer:
    115. 

  115.           betas: 0.9 0.999
    116. 

  116.           lr: 0.0001
    117. 

  117.           weight_decay: 0.0005
    118. 

  118.         scheduler:
    119. 

  119.           step_size: 20
    120. 

  120.           gamma: 0.5
    121. 

  121.         bias: true
    122. 

  122.         activation: tanh
    123. 

  123.   outs:
    124. 

  124.   - path: models/fire_pose_net.pth.ckpt
    125. 

  125.     md5: 179806aee02f66f9c1d94eba3cb2247e
    126. 

  126.     size: 255844230
    127. 

  127. train-chess:
    128. 

  128.   cmd: python train.py --config configs/pose_net.yaml --dataset_name chess --out models/chess_pose_net.pth
    129. 

  129.     --seed 1 --gpu 1 --log_every_n_steps 1
    130. 

  130.   deps:
    131. 

  131.   - path: lieposenet
    132. 

  132.     md5: 69af5f8727c4abdf0bb2e399259a6501.dir
    133. 

  133.     size: 134192
    134. 

  134.     nfiles: 63
    135. 

  135.   - path: train.py
    136. 

  136.     md5: bdff4162076735ab4a293268f8f72166
    137. 

  137.     size: 2565
    138. 

  138.   params:
    139. 

  139.     configs/pose_net.yaml:
    140. 

  140.       data_module:
    141. 

  141.         batch_size: 64
    142. 

  142.         use_test: true
    143. 

  143.         num_workers: 4
    144. 

  144.         image_size: 256
    145. 

  145.       max_epochs: 300
    146. 

  146.       model:
    147. 

  147.         name: pose_net
    148. 

  148.         feature_extractor:
    149. 

  149.           name: resnet34
    150. 

  150.           pretrained: true
    151. 

  151.         criterion:
    152. 

  152.           name: se3
    153. 

  153.           rotation_koef: -3.0
    154. 

  154.           translation_koef: -3.0
    155. 

  155.         feature_dimension: 2048
    156. 

  156.         drop_rate: 0
    157. 

  157.         optimizer:
    158. 

  158.           betas: 0.9 0.999
    159. 

  159.           lr: 0.0001
    160. 

  160.           weight_decay: 0.0005
    161. 

  161.         scheduler:
    162. 

  162.           step_size: 20
    163. 

  163.           gamma: 0.5
    164. 

  164.         bias: true
    165. 

  165.         activation: tanh
    166. 

  166.   outs:
    167. 

  167.   - path: models/chess_pose_net.pth.ckpt
    168. 

  168.     md5: 82fb58a4ab15e50c198431097dd74afb
    169. 

  169.     size: 268931889
    170. 

  170. test-chess:
    171. 

  171.   cmd: python eval.py --config configs/pose_net.yaml --dataset_name chess --result
    172. 

  172.     metrics/chess_metrics.json --data_saver_path metrics/chess_trajectories.npy --model
    173. 

  173.     models/chess_pose_net.pth.ckpt --seed 1 --gpu 1 --log_every_n_steps 1
    174. 

  174.   deps:
    175. 

  175.   - path: eval.py
    176. 

  176.     md5: f4dae0d7273fb4ef256bda2228a1ae74
    177. 

  177.     size: 2095
    178. 

  178.   - path: lieposenet
    179. 

  179.     md5: 942b320d66b46fa954540ecf1510e5ca.dir
    180. 

  180.     size: 134141
    181. 

  181.     nfiles: 63
    182. 

  182.   - path: models/chess_pose_net.pth.ckpt
    183. 

  183.     md5: 0f9b5c5c56d88986a6070c3e0939a7f3
    184. 

  184.     size: 268932282
    185. 

  185.   params:
    186. 

  186.     configs/pose_net.yaml:
    187. 

  187.       data_module:
    188. 

  188.         batch_size: 32
    189. 

  189.         use_test: true
    190. 

  190.         num_workers: 4
    191. 

  191.         image_size: 256
    192. 

  192.       model:
    193. 

  193.         name: pose_net
    194. 

  194.         feature_extractor:
    195. 

  195.           name: resnet34
    196. 

  196.           pretrained: true
    197. 

  197.         criterion:
    198. 

  198.           name: se3
    199. 

  199.           rotation_koef: -3.0
    200. 

  200.           translation_koef: -3.0
    201. 

  201.         feature_dimension: 2048
    202. 

  202.         drop_rate: 0.15
    203. 

  203.         optimizer:
    204. 

  204.           betas: 0.9 0.999
    205. 

  205.           lr: 0.0001
    206. 

  206.           weight_decay: 0.0005
    207. 

  207.         scheduler:
    208. 

  208.           step_size: 20
    209. 

  209.           gamma: 0.5
    210. 

  210.         bias: true
    211. 

  211.         activation: relu
    212. 

  212.   outs:
    213. 

  213.   - path: metrics/chess_metrics.json
    214. 

  214.     md5: b42039cf64e87b0cb6f2cf33a3022a5e
    215. 

  215.     size: 196
    216. 

  216.   - path: metrics/chess_trajectories.npy
    217. 

  217.     md5: de5e70d13237bcfb775ac1f1e50dab10
    218. 

  218.     size: 752777
    219. 

  219. test-fire:
    220. 

  220.   cmd: python eval.py --config configs/pose_net.yaml --dataset_name fire --result
    221. 

  221.     metrics/fire_metrics.json --data_saver_path metrics/fire_trajectories.npy --model
    222. 

  222.     models/fire_pose_net.pth.ckpt --seed 1 --gpu 1 --log_every_n_steps 1
    223. 

  223.   deps:
    224. 

  224.   - path: eval.py
    225. 

  225.     md5: f4dae0d7273fb4ef256bda2228a1ae74
    226. 

  226.     size: 2095
    227. 

  227.   - path: lieposenet
    228. 

  228.     md5: 837ccbe9cddf6a06d0c53af6c641fc93.dir
    229. 

  229.     size: 134262
    230. 

  230.     nfiles: 63
    231. 

  231.   - path: models/fire_pose_net.pth.ckpt
    232. 

  232.     md5: 947ac3a91ab6f2f9cae2ddb1c5f2d96d
    233. 

  233.     size: 268931801
    234. 

  234.   params:
    235. 

  235.     configs/pose_net.yaml:
    236. 

  236.       data_module:
    237. 

  237.         batch_size: 64
    238. 

  238.         use_test: true
    239. 

  239.         num_workers: 4
    240. 

  240.         image_size: 256
    241. 

  241.       model:
    242. 

  242.         name: pose_net
    243. 

  243.         feature_extractor:
    244. 

  244.           name: resnet34
    245. 

  245.           pretrained: true
    246. 

  246.         criterion:
    247. 

  247.           name: se3
    248. 

  248.           rotation_koef: -3.0
    249. 

  249.           translation_koef: -3.0
    250. 

  250.         feature_dimension: 2048
    251. 

  251.         drop_rate: 0
    252. 

  252.         optimizer:
    253. 

  253.           betas: 0.9 0.999
    254. 

  254.           lr: 0.0001
    255. 

  255.           weight_decay: 0.0005
    256. 

  256.         scheduler:
    257. 

  257.           step_size: 20
    258. 

  258.           gamma: 0.5
    259. 

  259.         bias: true
    260. 

  260.         activation: tanh
    261. 

  261.   outs:
    262. 

  262.   - path: metrics/fire_metrics.json
    263. 

  263.     md5: 65e8fc66c72dd0d0fb88b15d63d5288b
    264. 

  264.     size: 199
    265. 

  265.   - path: metrics/fire_trajectories.npy
    266. 

  266.     md5: f78889188165f0bb6302484966558866
    267. 

  267.     size: 752777
    268.
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