Automated_Rotating_Beam_Analysis/Networks/RotatingBeam3.1-Sebastian_Kloubert-2020-07-12/dlc-models/iteration-0/RotatingBeam3.1Jul12-trainset95shuffle3/train/log.txt

2020-11-05 16:50:04 Config:
{'all_joints': [[0],
                [1],
                [2],
                [3],
                [4],
                [5],
                [6],
                [7],
                [8],
                [9],
                [10],
                [11],
                [12],
                [13],
                [14],
                [15],
                [16],
                [17],
                [18]],
 'all_joints_names': ['snout',
                      'neck',
                      'upper_back',
                      'middle_back',
                      'tailbase',
                      'shoulder_right',
                      'elbow_right',
                      'wrist_right',
                      'forepaw_right',
                      'forepaw_left',
                      'hip_right',
                      'knee_right',
                      'ankle_right',
                      'hindpaw_right',
                      'hindpaw_left',
                      'beam_left_top',
                      'beam_left_bottom',
                      'beam_right_top',
                      'beam_right_bottom'],
 'batch_size': 1,
 'bottomheight': 400,
 'crop': True,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-0/UnaugmentedDataSet_RotatingBeam3.1Jul12/RotatingBeam3.1_Sebastian_Kloubert95shuffle3.mat',
 'dataset_type': 'imgaug',
 'deterministic': False,
 'display_iters': 1000,
 'fg_fraction': 0.25,
 'global_scale': 0.8,
 'init_weights': '/mnt/Install/DLC-GPU/lib/python3.7/site-packages/deeplabcut/pose_estimation_tensorflow/models/pretrained/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'leftwidth': 400,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-0/UnaugmentedDataSet_RotatingBeam3.1Jul12/Documentation_data-RotatingBeam3.1_95shuffle3.pickle',
 'min_input_size': 64,
 'minsize': 100,
 'mirror': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 19,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'project_path': '/mnt/DLC/RotatingBeam3.1-Sebastian_Kloubert-2020-07-12',
 'regularize': False,
 'rightwidth': 400,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/mnt/DLC/RotatingBeam3.1-Sebastian_Kloubert-2020-07-12/dlc-models/iteration-0/RotatingBeam3.1Jul12-trainset95shuffle3/train/snapshot',
 'stride': 8.0,
 'topheight': 400,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2020-11-05 16:51:40 iteration: 1000 loss: 0.0252 lr: 0.005
2020-11-05 16:53:08 iteration: 2000 loss: 0.0120 lr: 0.005
2020-11-05 16:54:36 iteration: 3000 loss: 0.0098 lr: 0.005
2020-11-05 16:56:03 iteration: 4000 loss: 0.0087 lr: 0.005
2020-11-05 16:57:30 iteration: 5000 loss: 0.0082 lr: 0.005
2020-11-05 16:58:56 iteration: 6000 loss: 0.0076 lr: 0.005
2020-11-05 17:00:23 iteration: 7000 loss: 0.0070 lr: 0.005
2020-11-05 17:01:50 iteration: 8000 loss: 0.0069 lr: 0.005
2020-11-05 17:03:16 iteration: 9000 loss: 0.0067 lr: 0.005
2020-11-05 17:04:43 iteration: 10000 loss: 0.0064 lr: 0.005
2020-11-05 17:06:09 iteration: 11000 loss: 0.0082 lr: 0.02
2020-11-05 17:07:36 iteration: 12000 loss: 0.0068 lr: 0.02
2020-11-05 17:09:04 iteration: 13000 loss: 0.0061 lr: 0.02
2020-11-05 17:10:30 iteration: 14000 loss: 0.0058 lr: 0.02
2020-11-05 17:11:56 iteration: 15000 loss: 0.0056 lr: 0.02
2020-11-05 17:13:24 iteration: 16000 loss: 0.0054 lr: 0.02
2020-11-05 17:14:51 iteration: 17000 loss: 0.0052 lr: 0.02
2020-11-05 17:16:20 iteration: 18000 loss: 0.0051 lr: 0.02
2020-11-05 17:17:47 iteration: 19000 loss: 0.0049 lr: 0.02
2020-11-05 17:19:14 iteration: 20000 loss: 0.0049 lr: 0.02
2020-11-05 17:20:41 iteration: 21000 loss: 0.0046 lr: 0.02
2020-11-05 17:22:08 iteration: 22000 loss: 0.0045 lr: 0.02
2020-11-05 17:23:35 iteration: 23000 loss: 0.0044 lr: 0.02
2020-11-05 17:25:03 iteration: 24000 loss: 0.0044 lr: 0.02
2020-11-05 17:26:30 iteration: 25000 loss: 0.0044 lr: 0.02
2020-11-05 17:27:58 iteration: 26000 loss: 0.0042 lr: 0.02
2020-11-05 17:29:27 iteration: 27000 loss: 0.0044 lr: 0.02
2020-11-05 17:30:53 iteration: 28000 loss: 0.0041 lr: 0.02
2020-11-05 17:32:20 iteration: 29000 loss: 0.0040 lr: 0.02
2020-11-05 17:33:46 iteration: 30000 loss: 0.0038 lr: 0.02
2020-11-05 17:35:11 iteration: 31000 loss: 0.0037 lr: 0.02
2020-11-05 17:36:39 iteration: 32000 loss: 0.0039 lr: 0.02
2020-11-05 17:38:07 iteration: 33000 loss: 0.0037 lr: 0.02
2020-11-05 17:39:32 iteration: 34000 loss: 0.0036 lr: 0.02
2020-11-05 17:41:00 iteration: 35000 loss: 0.0035 lr: 0.02
2020-11-05 17:42:29 iteration: 36000 loss: 0.0036 lr: 0.02
2020-11-05 17:43:56 iteration: 37000 loss: 0.0035 lr: 0.02
2020-11-05 17:45:24 iteration: 38000 loss: 0.0035 lr: 0.02
2020-11-05 17:46:50 iteration: 39000 loss: 0.0034 lr: 0.02
2020-11-05 17:48:16 iteration: 40000 loss: 0.0033 lr: 0.02
2020-11-05 17:49:44 iteration: 41000 loss: 0.0034 lr: 0.02
2020-11-05 17:51:11 iteration: 42000 loss: 0.0033 lr: 0.02
2020-11-05 17:52:37 iteration: 43000 loss: 0.0033 lr: 0.02
2020-11-05 17:54:05 iteration: 44000 loss: 0.0034 lr: 0.02
2020-11-05 17:55:32 iteration: 45000 loss: 0.0033 lr: 0.02
2020-11-05 17:57:00 iteration: 46000 loss: 0.0033 lr: 0.02
2020-11-05 17:58:27 iteration: 47000 loss: 0.0033 lr: 0.02
2020-11-05 17:59:54 iteration: 48000 loss: 0.0032 lr: 0.02
2020-11-05 18:01:20 iteration: 49000 loss: 0.0031 lr: 0.02
2020-11-05 18:02:48 iteration: 50000 loss: 0.0031 lr: 0.02
2020-11-05 18:04:14 iteration: 51000 loss: 0.0032 lr: 0.02
2020-11-05 18:05:39 iteration: 52000 loss: 0.0031 lr: 0.02
2020-11-05 18:07:05 iteration: 53000 loss: 0.0031 lr: 0.02
2020-11-05 18:08:31 iteration: 54000 loss: 0.0031 lr: 0.02
2020-11-05 18:09:56 iteration: 55000 loss: 0.0030 lr: 0.02
2020-11-05 18:11:24 iteration: 56000 loss: 0.0030 lr: 0.02
2020-11-05 18:12:52 iteration: 57000 loss: 0.0030 lr: 0.02
2020-11-05 18:14:17 iteration: 58000 loss: 0.0030 lr: 0.02
2020-11-05 18:15:42 iteration: 59000 loss: 0.0030 lr: 0.02
2020-11-05 18:17:06 iteration: 60000 loss: 0.0030 lr: 0.02
2020-11-05 18:18:32 iteration: 61000 loss: 0.0029 lr: 0.02
2020-11-05 18:19:57 iteration: 62000 loss: 0.0029 lr: 0.02
2020-11-05 18:21:21 iteration: 63000 loss: 0.0030 lr: 0.02
2020-11-05 18:22:48 iteration: 64000 loss: 0.0029 lr: 0.02
2020-11-05 18:24:16 iteration: 65000 loss: 0.0029 lr: 0.02
2020-11-05 18:25:43 iteration: 66000 loss: 0.0029 lr: 0.02
2020-11-05 18:27:10 iteration: 67000 loss: 0.0029 lr: 0.02
2020-11-05 18:28:36 iteration: 68000 loss: 0.0029 lr: 0.02
2020-11-05 18:30:04 iteration: 69000 loss: 0.0028 lr: 0.02
2020-11-05 18:31:30 iteration: 70000 loss: 0.0028 lr: 0.02
2020-11-05 18:32:57 iteration: 71000 loss: 0.0029 lr: 0.02
2020-11-05 18:34:23 iteration: 72000 loss: 0.0030 lr: 0.02
2020-11-05 18:35:52 iteration: 73000 loss: 0.0030 lr: 0.02
2020-11-05 18:37:19 iteration: 74000 loss: 0.0033 lr: 0.02
2020-11-05 18:38:44 iteration: 75000 loss: 0.0030 lr: 0.02