Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel

dvc.lock 2.0 KB

You have to be logged in to leave a comment. Sign In
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
  1. train-pose-net:
  2. cmd: python train.py --config configs/pose_net.yaml --out models/pose_net.pth --seed
  3. 1 --gpu 1 --log_every_n_steps 1
  4. deps:
  5. - path: lieposenet
  6. md5: ceee33cedeed84daf9c06760e7c301b4.dir
  7. size: 102472
  8. nfiles: 47
  9. - path: train.py
  10. md5: ceb05b50de7c71946a909cc44dc939aa
  11. size: 1780
  12. params:
  13. configs/pose_net.yaml:
  14. data_module:
  15. batch_size: 32
  16. use_test: true
  17. num_workers: 4
  18. max_epochs: 15
  19. model:
  20. name: pose_net
  21. feature_extractor:
  22. name: resnet34
  23. pretrained: true
  24. criterion:
  25. name: se3
  26. rotation_base_error: 0.1
  27. translation_base_error: 0.1
  28. feature_dimension: 2048
  29. drop_rate: 0.15
  30. optimizer:
  31. betas: 0.9 0.999
  32. lr: 0.0001
  33. weight_decay: 0.0005
  34. bias: true
  35. outs:
  36. - path: models/pose_net.pth.ckpt
  37. md5: 743898fbcc54949a99482dfb008df34f
  38. size: 268930580
  39. test-pose-net:
  40. cmd: python eval.py --config configs/pose_net.yaml --model models/pose_net.pth.ckpt
  41. --seed 1 --gpu 1 --log_every_n_steps 1
  42. deps:
  43. - path: eval.py
  44. md5: 26b2f43da3a26164ef75e5cd753265da
  45. size: 2073
  46. - path: lieposenet
  47. md5: ceee33cedeed84daf9c06760e7c301b4.dir
  48. size: 102472
  49. nfiles: 47
  50. - path: models/pose_net.pth.ckpt
  51. md5: 743898fbcc54949a99482dfb008df34f
  52. size: 268930580
  53. params:
  54. configs/pose_net.yaml:
  55. data_module:
  56. batch_size: 32
  57. use_test: true
  58. num_workers: 4
  59. model:
  60. name: pose_net
  61. feature_extractor:
  62. name: resnet34
  63. pretrained: true
  64. criterion:
  65. name: se3
  66. rotation_base_error: 0.1
  67. translation_base_error: 0.1
  68. feature_dimension: 2048
  69. drop_rate: 0.15
  70. optimizer:
  71. betas: 0.9 0.999
  72. lr: 0.0001
  73. weight_decay: 0.0005
  74. bias: true
  75. outs:
  76. - path: metrics.json
  77. md5: d009cf11a910f30b93676f559c71b76c
  78. size: 198
  79. - path: trajectories.npy
  80. md5: 1a4222a4029c83e47261ade08c48be38
  81. size: 336644
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Loading...