log_gpu_1.txt

2022-07-18 16:16:56.603857: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/statsmodels/compat/pandas.py:65: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
  from pandas import Int64Index as NumericIndex
/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/__init__.py:81: UserWarning: 
        As PyTorch is not installed, unsupervised identity learning will not be available.
        Please run `pip install torch`, or ignore this warning.
        
  warnings.warn(
Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': True,
              'claheratio': 0.1,
              'histeq': True,
              'histeqratio': 0.1},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle0.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle0.pickle',
 'min_input_size': 64,
 'mirror': True,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle0/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-18 16:17:01.146275: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-07-18 16:17:01.587312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
2022-07-18 16:17:01.981617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
2022-07-18 16:17:03.166962: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
2022-07-18 16:17:08.622031: I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version 8401
/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer_v1.py:1694: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
  warnings.warn('`layer.apply` is deprecated and '
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Exception in thread Thread-1:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1115, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': True,
              'claheratio': 0.1,
              'histeq': True,
              'histeqratio': 0.1},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle1.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle1.pickle',
 'min_input_size': 64,
 'mirror': True,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle1/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-19 01:27:31.880427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
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Exception in thread Thread-2:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1377, in _do_call
    return fn(*args)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1360, in _run_fn
    return self._call_tf_sessionrun(options, feed_dict, fetch_list,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1453, in _call_tf_sessionrun
    return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
tensorflow.python.framework.errors_impl.CancelledError: Enqueue operation was cancelled
	 [[{{node fifo_queue_enqueue}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1190, in _run
    results = self._do_run(handle, final_targets, final_fetches,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1370, in _do_run
    return self._do_call(_run_fn, feeds, fetches, targets, options,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1396, in _do_call
    raise type(e)(node_def, op, message)  # pylint: disable=no-value-for-parameter
tensorflow.python.framework.errors_impl.CancelledError: Graph execution error:

Detected at node 'fifo_queue_enqueue' defined at (most recent call last):
    File "train_augmentation_models.py", line 27, in <module>
      train_all_shuffles(config_path, # config.yaml, common to all models
    File "/home/jonas2/DLC_files/python_scripts/CaseStudyScripts/train_all_shuffles.py", line 34, in train_all_shuffles
      deeplabcut.train_network(config_path, # config.yaml, common to all models
    File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/training.py", line 207, in train_network
      train(
    File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 168, in train
      batch, enqueue_op, placeholders = setup_preloading(batch_spec)
    File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 69, in setup_preloading
      enqueue_op = q.enqueue(placeholders_list)
Node: 'fifo_queue_enqueue'
Enqueue operation was cancelled
	 [[{{node fifo_queue_enqueue}}]]

Original stack trace for 'fifo_queue_enqueue':
  File "train_augmentation_models.py", line 27, in <module>
    train_all_shuffles(config_path, # config.yaml, common to all models
  File "/home/jonas2/DLC_files/python_scripts/CaseStudyScripts/train_all_shuffles.py", line 34, in train_all_shuffles
    deeplabcut.train_network(config_path, # config.yaml, common to all models
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/training.py", line 207, in train_network
    train(
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 168, in train
    batch, enqueue_op, placeholders = setup_preloading(batch_spec)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 69, in setup_preloading
    enqueue_op = q.enqueue(placeholders_list)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/ops/data_flow_ops.py", line 346, in enqueue
    return gen_data_flow_ops.queue_enqueue_v2(
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/ops/gen_data_flow_ops.py", line 4063, in queue_enqueue_v2
    _, _, _op, _outputs = _op_def_library._apply_op_helper(
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/framework/op_def_library.py", line 797, in _apply_op_helper
    op = g._create_op_internal(op_type_name, inputs, dtypes=None,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/framework/ops.py", line 3754, in _create_op_internal
    ret = Operation(
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/framework/ops.py", line 2133, in __init__
    self._traceback = tf_stack.extract_stack_for_node(self._c_op)

Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': True,
              'claheratio': 0.1,
              'histeq': True,
              'histeqratio': 0.1},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle2.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle2.pickle',
 'min_input_size': 64,
 'mirror': True,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle2/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-19 10:30:57.050094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
Loading DLC 2.2.1.1...
DLC loaded in light mode; you cannot use any GUI (labeling, relabeling and standalone GUI)
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle0/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': True, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': True, 'claheratio': 0.1, 'histeq': True, 'histeqratio': 0.1, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle0.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle0.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'cropratio': 0.4, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle1/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': True, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': True, 'claheratio': 0.1, 'histeq': True, 'histeqratio': 0.1, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'cropratio': 0.4, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle1.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle1.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
iteration: 1000 loss: 0.0297 lr: 0.005
iteration: 2000 loss: 0.0195 lr: 0.005
iteration: 3000 loss: 0.0182 lr: 0.005
iteration: 4000 loss: 0.0166 lr: 0.005
iteration: 5000 loss: 0.0153 lr: 0.005
iteration: 6000 loss: 0.0141 lr: 0.005
iteration: 7000 loss: 0.0134 lr: 0.005
iteration: 8000 loss: 0.0126 lr: 0.005
iteration: 9000 loss: 0.0128 lr: 0.005
iteration: 10000 loss: 0.0125 lr: 0.005
iteration: 11000 loss: 0.0117 lr: 0.02
iteration: 12000 loss: 0.0104 lr: 0.02
iteration: 13000 loss: 0.0099 lr: 0.02
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iteration: 19000 loss: 0.0075 lr: 0.02
iteration: 20000 loss: 0.0073 lr: 0.02
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iteration: 25000 loss: 0.0065 lr: 0.02
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Exception in thread Thread-3:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1115, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': False, 'histeq': False},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle0.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle0.pickle',
 'min_input_size': 64,
 'mirror': False,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle0/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-19 19:32:51.977495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
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iteration: 222000 loss: 0.0020 lr: 0.02
iteration: 223000 loss: 0.0021 lr: 0.02
iteration: 224000 loss: 0.0019 lr: 0.02
iteration: 225000 loss: 0.0020 lr: 0.02
iteration: 226000 loss: 0.0020 lr: 0.02
iteration: 227000 loss: 0.0019 lr: 0.02
iteration: 228000 loss: 0.0019 lr: 0.02
iteration: 229000 loss: 0.0019 lr: 0.02
iteration: 230000 loss: 0.0019 lr: 0.02
iteration: 231000 loss: 0.0019 lr: 0.02
iteration: 232000 loss: 0.0019 lr: 0.02
iteration: 233000 loss: 0.0020 lr: 0.02
iteration: 234000 loss: 0.0019 lr: 0.02
iteration: 235000 loss: 0.0020 lr: 0.02
iteration: 236000 loss: 0.0019 lr: 0.02
iteration: 237000 loss: 0.0019 lr: 0.02
iteration: 238000 loss: 0.0019 lr: 0.02
iteration: 239000 loss: 0.0019 lr: 0.02
iteration: 240000 loss: 0.0019 lr: 0.02
iteration: 241000 loss: 0.0019 lr: 0.02
iteration: 242000 loss: 0.0019 lr: 0.02
iteration: 243000 loss: 0.0019 lr: 0.02
iteration: 244000 loss: 0.0019 lr: 0.02
iteration: 245000 loss: 0.0018 lr: 0.02
iteration: 246000 loss: 0.0019 lr: 0.02
iteration: 247000 loss: 0.0019 lr: 0.02
iteration: 248000 loss: 0.0019 lr: 0.02
iteration: 249000 loss: 0.0019 lr: 0.02
iteration: 250000 loss: 0.0019 lr: 0.02
iteration: 251000 loss: 0.0019 lr: 0.02
iteration: 252000 loss: 0.0019 lr: 0.02
iteration: 253000 loss: 0.0019 lr: 0.02
iteration: 254000 loss: 0.0019 lr: 0.02
iteration: 255000 loss: 0.0019 lr: 0.02
iteration: 256000 loss: 0.0019 lr: 0.02
iteration: 257000 loss: 0.0019 lr: 0.02
iteration: 258000 loss: 0.0020 lr: 0.02
iteration: 259000 loss: 0.0019 lr: 0.02
iteration: 260000 loss: 0.0019 lr: 0.02
iteration: 261000 loss: 0.0019 lr: 0.02
iteration: 262000 loss: 0.0019 lr: 0.02
iteration: 263000 loss: 0.0019 lr: 0.02
iteration: 264000 loss: 0.0019 lr: 0.02
iteration: 265000 loss: 0.0018 lr: 0.02
iteration: 266000 loss: 0.0018 lr: 0.02
iteration: 267000 loss: 0.0019 lr: 0.02
iteration: 268000 loss: 0.0019 lr: 0.02
iteration: 269000 loss: 0.0019 lr: 0.02
iteration: 270000 loss: 0.0019 lr: 0.02
iteration: 271000 loss: 0.0018 lr: 0.02
iteration: 272000 loss: 0.0019 lr: 0.02
iteration: 273000 loss: 0.0018 lr: 0.02
iteration: 274000 loss: 0.0018 lr: 0.02
iteration: 275000 loss: 0.0018 lr: 0.02
iteration: 276000 loss: 0.0018 lr: 0.02
iteration: 277000 loss: 0.0018 lr: 0.02
iteration: 278000 loss: 0.0018 lr: 0.02
iteration: 279000 loss: 0.0019 lr: 0.02
iteration: 280000 loss: 0.0018 lr: 0.02
iteration: 281000 loss: 0.0018 lr: 0.02
iteration: 282000 loss: 0.0018 lr: 0.02
iteration: 283000 loss: 0.0018 lr: 0.02
iteration: 284000 loss: 0.0018 lr: 0.02
iteration: 285000 loss: 0.0018 lr: 0.02
iteration: 286000 loss: 0.0018 lr: 0.02
iteration: 287000 loss: 0.0019 lr: 0.02
iteration: 288000 loss: 0.0018 lr: 0.02
iteration: 289000 loss: 0.0018 lr: 0.02
iteration: 290000 loss: 0.0019 lr: 0.02
iteration: 291000 loss: 0.0018 lr: 0.02
iteration: 292000 loss: 0.0018 lr: 0.02
iteration: 293000 loss: 0.0018 lr: 0.02
iteration: 294000 loss: 0.0018 lr: 0.02
iteration: 295000 loss: 0.0018 lr: 0.02
iteration: 296000 loss: 0.0018 lr: 0.02
iteration: 297000 loss: 0.0018 lr: 0.02
iteration: 298000 loss: 0.0018 lr: 0.02
iteration: 299000 loss: 0.0018 lr: 0.02
iteration: 300000 loss: 0.0018 lr: 0.02
Exception in thread Thread-4:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1115, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': False, 'histeq': False},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle1.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle1.pickle',
 'min_input_size': 64,
 'mirror': False,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle1/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-20 04:21:53.801364: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_04_mirror/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle2/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': True, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': True, 'claheratio': 0.1, 'histeq': True, 'histeqratio': 0.1, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'cropratio': 0.4, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle2.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle2.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle0/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': False, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': False, 'histeq': False, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle0.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle0.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'cropratio': 0.4, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
iteration: 1000 loss: 0.0287 lr: 0.005
iteration: 2000 loss: 0.0189 lr: 0.005
iteration: 3000 loss: 0.0171 lr: 0.005
iteration: 4000 loss: 0.0158 lr: 0.005
iteration: 5000 loss: 0.0144 lr: 0.005
iteration: 6000 loss: 0.0138 lr: 0.005
iteration: 7000 loss: 0.0128 lr: 0.005
iteration: 8000 loss: 0.0116 lr: 0.005
iteration: 9000 loss: 0.0111 lr: 0.005
iteration: 10000 loss: 0.0103 lr: 0.005
iteration: 11000 loss: 0.0108 lr: 0.02
iteration: 12000 loss: 0.0099 lr: 0.02
iteration: 13000 loss: 0.0086 lr: 0.02
iteration: 14000 loss: 0.0078 lr: 0.02
iteration: 15000 loss: 0.0075 lr: 0.02
iteration: 16000 loss: 0.0072 lr: 0.02
iteration: 17000 loss: 0.0072 lr: 0.02
iteration: 18000 loss: 0.0107 lr: 0.02
iteration: 19000 loss: 0.0081 lr: 0.02
iteration: 20000 loss: 0.0077 lr: 0.02
iteration: 21000 loss: 0.0066 lr: 0.02
iteration: 22000 loss: 0.0076 lr: 0.02
iteration: 23000 loss: 0.0062 lr: 0.02
iteration: 24000 loss: 0.0060 lr: 0.02
iteration: 25000 loss: 0.0056 lr: 0.02
iteration: 26000 loss: 0.0054 lr: 0.02
iteration: 27000 loss: 0.0054 lr: 0.02
iteration: 28000 loss: 0.0049 lr: 0.02
iteration: 29000 loss: 0.0048 lr: 0.02
iteration: 30000 loss: 0.0048 lr: 0.02
iteration: 31000 loss: 0.0047 lr: 0.02
iteration: 32000 loss: 0.0045 lr: 0.02
iteration: 33000 loss: 0.0045 lr: 0.02
iteration: 34000 loss: 0.0043 lr: 0.02
iteration: 35000 loss: 0.0043 lr: 0.02
iteration: 36000 loss: 0.0042 lr: 0.02
iteration: 37000 loss: 0.0040 lr: 0.02
iteration: 38000 loss: 0.0040 lr: 0.02
iteration: 39000 loss: 0.0041 lr: 0.02
iteration: 40000 loss: 0.0041 lr: 0.02
iteration: 41000 loss: 0.0040 lr: 0.02
iteration: 42000 loss: 0.0039 lr: 0.02
iteration: 43000 loss: 0.0038 lr: 0.02
iteration: 44000 loss: 0.0037 lr: 0.02
iteration: 45000 loss: 0.0037 lr: 0.02
iteration: 46000 loss: 0.0036 lr: 0.02
iteration: 47000 loss: 0.0036 lr: 0.02
iteration: 48000 loss: 0.0035 lr: 0.02
iteration: 49000 loss: 0.0038 lr: 0.02
iteration: 50000 loss: 0.0039 lr: 0.02
iteration: 51000 loss: 0.0045 lr: 0.02
iteration: 52000 loss: 0.0044 lr: 0.02
iteration: 53000 loss: 0.0036 lr: 0.02
iteration: 54000 loss: 0.0036 lr: 0.02
iteration: 55000 loss: 0.0036 lr: 0.02
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iteration: 57000 loss: 0.0033 lr: 0.02
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iteration: 60000 loss: 0.0032 lr: 0.02
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iteration: 63000 loss: 0.0032 lr: 0.02
iteration: 64000 loss: 0.0031 lr: 0.02
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iteration: 68000 loss: 0.0030 lr: 0.02
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iteration: 70000 loss: 0.0030 lr: 0.02
iteration: 71000 loss: 0.0029 lr: 0.02
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iteration: 73000 loss: 0.0029 lr: 0.02
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iteration: 81000 loss: 0.0027 lr: 0.02
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iteration: 83000 loss: 0.0027 lr: 0.02
iteration: 84000 loss: 0.0028 lr: 0.02
iteration: 85000 loss: 0.0027 lr: 0.02
iteration: 86000 loss: 0.0029 lr: 0.02
iteration: 87000 loss: 0.0028 lr: 0.02
iteration: 88000 loss: 0.0027 lr: 0.02
iteration: 89000 loss: 0.0027 lr: 0.02
iteration: 90000 loss: 0.0026 lr: 0.02
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iteration: 92000 loss: 0.0026 lr: 0.02
iteration: 93000 loss: 0.0026 lr: 0.02
iteration: 94000 loss: 0.0027 lr: 0.02
iteration: 95000 loss: 0.0026 lr: 0.02
iteration: 96000 loss: 0.0026 lr: 0.02
iteration: 97000 loss: 0.0026 lr: 0.02
iteration: 98000 loss: 0.0025 lr: 0.02
iteration: 99000 loss: 0.0026 lr: 0.02
iteration: 100000 loss: 0.0025 lr: 0.02
iteration: 101000 loss: 0.0025 lr: 0.02
iteration: 102000 loss: 0.0026 lr: 0.02
iteration: 103000 loss: 0.0025 lr: 0.02
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iteration: 105000 loss: 0.0025 lr: 0.02
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iteration: 110000 loss: 0.0025 lr: 0.02
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iteration: 120000 loss: 0.0023 lr: 0.02
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iteration: 123000 loss: 0.0024 lr: 0.02
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Exception in thread Thread-5:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1115, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
Config:
{'all_joints': [[0],
                [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]],
 'all_joints_names': ['L1hip',
                      'L1knee',
                      'L1ankle',
                      'L1toe',
                      'L2hip',
                      'L2knee',
                      'L2ankle',
                      'L2toe',
                      'L3hip',
                      'L3knee',
                      'L3ankle',
                      'L3toe',
                      'R1hip',
                      'R1knee',
                      'R1ankle',
                      'R1toe',
                      'R2hip',
                      'R2knee',
                      'R2ankle',
                      'R2toe',
                      'R3hip',
                      'R3knee',
                      'R3ankle',
                      'R3toe',
                      'Leye',
                      'Reye',
                      'nose',
                      'Lantenna1',
                      'Lantenna2',
                      'Lantenna3',
                      'Lantenna4',
                      'Rantenna1',
                      'Rantenna2',
                      'Rantenna3',
                      'Rantenna4',
                      'Lbody',
                      'Rbody',
                      'rear',
                      'centerbody',
                      'Lshoulder',
                      'Rshoulder'],
 'alpha_r': 0.02,
 'apply_prob': 0.5,
 'batch_size': 1,
 'contrast': {'clahe': False, 'histeq': False},
 'convolution': {'edge': False, 'emboss': False, 'sharpen': False},
 'covering': True,
 'crop_by': 0.15,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle2.mat',
 'dataset_type': 'imgaug',
 'decay_steps': 30000,
 'deterministic': False,
 'display_iters': 1000,
 'elastic_transform': True,
 'fg_fraction': 0.25,
 'gaussian_noise': False,
 'global_scale': 0.8,
 'grayscale': False,
 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 0.05,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'lr_init': 0.0005,
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle2.pickle',
 'min_input_size': 64,
 'mirror': False,
 'motion_blur': True,
 'motion_blur_params': {'angle': [-90, 90], 'k': 7},
 'multi_stage': False,
 'multi_step': [[0.005, 10000],
                [0.02, 430000],
                [0.002, 730000],
                [0.001, 1030000]],
 'net_type': 'resnet_50',
 'num_joints': 41,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'pre_resize': [],
 'project_path': '/media/data/stinkbugs-DLC-2022-07-15',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 50000,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle2/train/snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
2022-07-20 13:13:17.305520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22344 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:1a:00.0, compute capability: 8.6
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Exception in thread Thread-6:
Traceback (most recent call last):
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 83, in load_and_enqueue
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1115, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle1/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': False, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': False, 'histeq': False, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'cropratio': 0.4, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle1.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle1.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Batch Size is 1
Loading ImageNet-pretrained resnet_50
Max_iters overwritten as 300000
Display_iters overwritten as 1000
Save_iters overwritten as 50000
Training parameter:
{'stride': 8.0, 'weigh_part_predictions': False, 'weigh_negatives': False, 'fg_fraction': 0.25, 'mean_pixel': [123.68, 116.779, 103.939], 'shuffle': True, 'snapshot_prefix': '/media/data/stinkbugs-DLC-2022-07-15/data_augm_05_contrast/dlc-models/iteration-1/stinkbugsJul15-trainset80shuffle2/train/snapshot', 'log_dir': 'log', 'global_scale': 0.8, 'location_refinement': True, 'locref_stdev': 7.2801, 'locref_loss_weight': 0.05, 'locref_huber_loss': True, 'optimizer': 'sgd', 'intermediate_supervision': False, 'intermediate_supervision_layer': 12, 'regularize': False, 'weight_decay': 0.0001, 'crop_pad': 0, 'scoremap_dir': 'test', 'batch_size': 1, 'dataset_type': 'imgaug', 'deterministic': False, 'mirror': False, 'pairwise_huber_loss': False, 'weigh_only_present_joints': False, 'partaffinityfield_predict': False, 'pairwise_predict': False, 'all_joints': [[0], [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]], 'all_joints_names': ['L1hip', 'L1knee', 'L1ankle', 'L1toe', 'L2hip', 'L2knee', 'L2ankle', 'L2toe', 'L3hip', 'L3knee', 'L3ankle', 'L3toe', 'R1hip', 'R1knee', 'R1ankle', 'R1toe', 'R2hip', 'R2knee', 'R2ankle', 'R2toe', 'R3hip', 'R3knee', 'R3ankle', 'R3toe', 'Leye', 'Reye', 'nose', 'Lantenna1', 'Lantenna2', 'Lantenna3', 'Lantenna4', 'Rantenna1', 'Rantenna2', 'Rantenna3', 'Rantenna4', 'Lbody', 'Rbody', 'rear', 'centerbody', 'Lshoulder', 'Rshoulder'], 'alpha_r': 0.02, 'apply_prob': 0.5, 'contrast': {'clahe': False, 'histeq': False, 'gamma': False, 'sigmoid': False, 'log': False, 'linear': False}, 'convolution': {'sharpen': False, 'edge': False, 'emboss': False}, 'cropratio': 0.4, 'dataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/stinkbugs_DLC80shuffle2.mat', 'decay_steps': 30000, 'display_iters': 1000, 'init_weights': '/media/data/model-weights/resnet_v1_50.ckpt', 'lr_init': 0.0005, 'max_input_size': 1500, 'metadataset': 'training-datasets/iteration-1/UnaugmentedDataSet_stinkbugsJul15/Documentation_data-stinkbugs_80shuffle2.pickle', 'min_input_size': 64, 'multi_stage': False, 'multi_step': [[0.005, 10000], [0.02, 430000], [0.002, 730000], [0.001, 1030000]], 'net_type': 'resnet_50', 'num_joints': 41, 'pos_dist_thresh': 17, 'project_path': '/media/data/stinkbugs-DLC-2022-07-15', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 50000, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'pre_resize': [], 'crop_by': 0.15, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}, 'grayscale': False, 'covering': True, 'elastic_transform': True, 'gaussian_noise': False}
Starting training....
The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
Selecting single-animal trainer
Traceback (most recent call last):
  File "train_augmentation_models.py", line 27, in <module>
    train_all_shuffles(config_path, # config.yaml, common to all models
  File "/home/jonas2/DLC_files/python_scripts/CaseStudyScripts/train_all_shuffles.py", line 34, in train_all_shuffles
    deeplabcut.train_network(config_path, # config.yaml, common to all models
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/training.py", line 218, in train_network
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/training.py", line 207, in train_network
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/core/train.py", line 158, in train
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/config.py", line 62, in load_config
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/site-packages/deeplabcut/pose_estimation_tensorflow/config.py", line 52, in cfg_from_file
  File "/home/jonas2/miniconda/envs/dlc/lib/python3.8/importlib/__init__.py", line 168, in reload
    raise ModuleNotFoundError(f"spec not found for the module {name!r}", name=name)
ModuleNotFoundError: spec not found for the module 'deeplabcut.pose_estimation_tensorflow.default_config'