log.txt 5.8 KB

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  1. 2020-11-05 14:58:01 Config:
  2. {'all_joints': [[0],
  3. [1],
  4. [2],
  5. [3],
  6. [4],
  7. [5],
  8. [6],
  9. [7],
  10. [8],
  11. [9],
  12. [10],
  13. [11],
  14. [12],
  15. [13],
  16. [14],
  17. [15],
  18. [16],
  19. [17],
  20. [18]],
  21. 'all_joints_names': ['snout',
  22. 'neck',
  23. 'upper_back',
  24. 'middle_back',
  25. 'tailbase',
  26. 'shoulder_right',
  27. 'elbow_right',
  28. 'wrist_right',
  29. 'forepaw_right',
  30. 'forepaw_left',
  31. 'hip_right',
  32. 'knee_right',
  33. 'ankle_right',
  34. 'hindpaw_right',
  35. 'hindpaw_left',
  36. 'beam_left_top',
  37. 'beam_left_bottom',
  38. 'beam_right_top',
  39. 'beam_right_bottom'],
  40. 'batch_size': 1,
  41. 'bottomheight': 400,
  42. 'crop': True,
  43. 'crop_pad': 0,
  44. 'cropratio': 0.4,
  45. 'dataset': 'training-datasets/iteration-0/UnaugmentedDataSet_RotatingBeam3.1Jul12/RotatingBeam3.1_Sebastian_Kloubert95shuffle2.mat',
  46. 'dataset_type': 'imgaug',
  47. 'deterministic': False,
  48. 'display_iters': 1000,
  49. 'fg_fraction': 0.25,
  50. 'global_scale': 0.8,
  51. 'init_weights': '/mnt/Install/DLC-GPU/lib/python3.7/site-packages/deeplabcut/pose_estimation_tensorflow/models/pretrained/resnet_v1_50.ckpt',
  52. 'intermediate_supervision': False,
  53. 'intermediate_supervision_layer': 12,
  54. 'leftwidth': 400,
  55. 'location_refinement': True,
  56. 'locref_huber_loss': True,
  57. 'locref_loss_weight': 0.05,
  58. 'locref_stdev': 7.2801,
  59. 'log_dir': 'log',
  60. 'max_input_size': 1500,
  61. 'mean_pixel': [123.68, 116.779, 103.939],
  62. 'metadataset': 'training-datasets/iteration-0/UnaugmentedDataSet_RotatingBeam3.1Jul12/Documentation_data-RotatingBeam3.1_95shuffle2.pickle',
  63. 'min_input_size': 64,
  64. 'minsize': 100,
  65. 'mirror': False,
  66. 'multi_step': [[0.005, 10000],
  67. [0.02, 430000],
  68. [0.002, 730000],
  69. [0.001, 1030000]],
  70. 'net_type': 'resnet_50',
  71. 'num_joints': 19,
  72. 'optimizer': 'sgd',
  73. 'pairwise_huber_loss': False,
  74. 'pairwise_predict': False,
  75. 'partaffinityfield_predict': False,
  76. 'pos_dist_thresh': 17,
  77. 'project_path': '/mnt/DLC/RotatingBeam3.1-Sebastian_Kloubert-2020-07-12',
  78. 'regularize': False,
  79. 'rightwidth': 400,
  80. 'save_iters': 50000,
  81. 'scale_jitter_lo': 0.5,
  82. 'scale_jitter_up': 1.25,
  83. 'scoremap_dir': 'test',
  84. 'shuffle': True,
  85. 'snapshot_prefix': '/mnt/DLC/RotatingBeam3.1-Sebastian_Kloubert-2020-07-12/dlc-models/iteration-0/RotatingBeam3.1Jul12-trainset95shuffle2/train/snapshot',
  86. 'stride': 8.0,
  87. 'topheight': 400,
  88. 'weigh_negatives': False,
  89. 'weigh_only_present_joints': False,
  90. 'weigh_part_predictions': False,
  91. 'weight_decay': 0.0001}
  92. 2020-11-05 14:59:36 iteration: 1000 loss: 0.0256 lr: 0.005
  93. 2020-11-05 15:01:04 iteration: 2000 loss: 0.0120 lr: 0.005
  94. 2020-11-05 15:02:32 iteration: 3000 loss: 0.0102 lr: 0.005
  95. 2020-11-05 15:03:58 iteration: 4000 loss: 0.0087 lr: 0.005
  96. 2020-11-05 15:05:26 iteration: 5000 loss: 0.0082 lr: 0.005
  97. 2020-11-05 15:06:54 iteration: 6000 loss: 0.0075 lr: 0.005
  98. 2020-11-05 15:08:19 iteration: 7000 loss: 0.0071 lr: 0.005
  99. 2020-11-05 15:09:45 iteration: 8000 loss: 0.0070 lr: 0.005
  100. 2020-11-05 15:11:11 iteration: 9000 loss: 0.0067 lr: 0.005
  101. 2020-11-05 15:12:39 iteration: 10000 loss: 0.0063 lr: 0.005
  102. 2020-11-05 15:14:06 iteration: 11000 loss: 0.0077 lr: 0.02
  103. 2020-11-05 15:15:35 iteration: 12000 loss: 0.0068 lr: 0.02
  104. 2020-11-05 15:17:02 iteration: 13000 loss: 0.0063 lr: 0.02
  105. 2020-11-05 15:18:28 iteration: 14000 loss: 0.0060 lr: 0.02
  106. 2020-11-05 15:19:54 iteration: 15000 loss: 0.0055 lr: 0.02
  107. 2020-11-05 15:21:18 iteration: 16000 loss: 0.0053 lr: 0.02
  108. 2020-11-05 15:22:43 iteration: 17000 loss: 0.0053 lr: 0.02
  109. 2020-11-05 15:24:08 iteration: 18000 loss: 0.0050 lr: 0.02
  110. 2020-11-05 15:25:31 iteration: 19000 loss: 0.0049 lr: 0.02
  111. 2020-11-05 15:26:56 iteration: 20000 loss: 0.0049 lr: 0.02
  112. 2020-11-05 15:28:21 iteration: 21000 loss: 0.0048 lr: 0.02
  113. 2020-11-05 15:29:44 iteration: 22000 loss: 0.0045 lr: 0.02
  114. 2020-11-05 15:31:10 iteration: 23000 loss: 0.0045 lr: 0.02
  115. 2020-11-05 15:32:34 iteration: 24000 loss: 0.0044 lr: 0.02
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  117. 2020-11-05 15:35:18 iteration: 26000 loss: 0.0042 lr: 0.02
  118. 2020-11-05 15:36:45 iteration: 27000 loss: 0.0041 lr: 0.02
  119. 2020-11-05 15:38:12 iteration: 28000 loss: 0.0040 lr: 0.02
  120. 2020-11-05 15:39:41 iteration: 29000 loss: 0.0041 lr: 0.02
  121. 2020-11-05 15:41:06 iteration: 30000 loss: 0.0040 lr: 0.02
  122. 2020-11-05 15:42:32 iteration: 31000 loss: 0.0038 lr: 0.02
  123. 2020-11-05 15:43:58 iteration: 32000 loss: 0.0038 lr: 0.02
  124. 2020-11-05 15:45:24 iteration: 33000 loss: 0.0036 lr: 0.02
  125. 2020-11-05 15:46:51 iteration: 34000 loss: 0.0037 lr: 0.02
  126. 2020-11-05 15:48:16 iteration: 35000 loss: 0.0037 lr: 0.02
  127. 2020-11-05 15:49:43 iteration: 36000 loss: 0.0037 lr: 0.02
  128. 2020-11-05 15:51:07 iteration: 37000 loss: 0.0036 lr: 0.02
  129. 2020-11-05 15:52:31 iteration: 38000 loss: 0.0035 lr: 0.02
  130. 2020-11-05 15:53:55 iteration: 39000 loss: 0.0033 lr: 0.02
  131. 2020-11-05 15:55:23 iteration: 40000 loss: 0.0034 lr: 0.02
  132. 2020-11-05 15:56:50 iteration: 41000 loss: 0.0033 lr: 0.02
  133. 2020-11-05 15:58:17 iteration: 42000 loss: 0.0034 lr: 0.02
  134. 2020-11-05 15:59:42 iteration: 43000 loss: 0.0033 lr: 0.02
  135. 2020-11-05 16:01:10 iteration: 44000 loss: 0.0033 lr: 0.02
  136. 2020-11-05 16:02:36 iteration: 45000 loss: 0.0034 lr: 0.02
  137. 2020-11-05 16:04:04 iteration: 46000 loss: 0.0032 lr: 0.02
  138. 2020-11-05 16:05:30 iteration: 47000 loss: 0.0032 lr: 0.02
  139. 2020-11-05 16:06:58 iteration: 48000 loss: 0.0031 lr: 0.02
  140. 2020-11-05 16:08:26 iteration: 49000 loss: 0.0032 lr: 0.02
  141. 2020-11-05 16:09:54 iteration: 50000 loss: 0.0031 lr: 0.02