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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: ceee33cedeed84daf9c06760e7c301b4.dir
    90. 

  90.     size: 102472
    91. 

  91.     nfiles: 47
    92. 

  92.   - path: train.py
    93. 

  93.     md5: ceb05b50de7c71946a909cc44dc939aa
    94. 

  94.     size: 1780
    95. 

  95.   params:
    96. 

  96.     configs/pose_net.yaml:
    97. 

  97.       data_module:
    98. 

  98.         batch_size: 32
    99. 

  99.         use_test: true
    100. 

  100.         num_workers: 4
    101. 

  101.       max_epochs: 15
    102. 

  102.       model:
    103. 

  103.         name: pose_net
    104. 

  104.         feature_extractor:
    105. 

  105.           name: resnet34
    106. 

  106.           pretrained: true
    107. 

  107.         criterion:
    108. 

  108.           name: se3
    109. 

  109.         feature_dimension: 2048
    110. 

  110.         drop_rate: 0.15
    111. 

  111.         optimizer:
    112. 

  112.           betas: 0.9 0.999
    113. 

  113.           lr: 0.0001
    114. 

  114.           weight_decay: 0.0005
    115. 

  115.         bias: true
    116. 

  116.   outs:
    117. 

  117.   - path: models/fire_pose_net.pth.ckpt
    118. 

  118.     md5: 914d78d2c2fcf0574fdd101694c377bb
    119. 

  119.     size: 268930292
    120.
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