Deeplabcut: testscript.py: enters infinite loop when trying to create labelled video (line 185)

Created on 11 Nov 2020  路  11Comments  路  Source: DeepLabCut/DeepLabCut

Your Operating system and DeepLabCut version

Please state your operating system, env, and which version of DeepLabCut you are using.

OS: Win 10
DeepLabCut Version:2.2b8
Anaconda env used: DLC-CPU

Describe the problem

I've installed DLC using gitclone last week (I've had issues installing Visual Studio, so maybe this contributed to the error). I've tried running the testscript.py, but when it prints 'create video' (line 185 in testscript.py I think), it enters an infinite loop of error messsages (the lines between 'Imported DLC' and 'Type Error' will be repeated), and from the printed output, it appears it's jumping back to the beginning of the script? This repeats unless ctrl-c is pressed. I've tried to git clone and reinstall a couple of times, but keep getting this issue.

Code output

Initializing ResNet
Starting to analyze % C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-11\videos\reachingvideo1short.avi
C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-11\videos already exists!
The videos are analyzed. Now your research can truly start!
You can create labeled videos with 'create_labeled_video'
If the tracking is not satisfactory for some videos, consider expanding the training set. You can use the function 'extract_outlier_frames' to extract a few representative outlier frames.
CREATE VIDEO
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-11" already exists!
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in
cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
path = Path(configname)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
self = cls._from_parts(args, init=False)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
drv, root, parts = self._parse_args(args)
File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType

How to Reproduce the problem
Steps to reproduce the behavior:

  1. Follow installation instructions (to the best of my knowledge)
  2. run testscript.py
  3. See error

Thank you for any help with this issue! And thank you for providing this toolbox for the general research public! :)

picture meyereli

All 11 comments

thanks, @meyereli I heard recently 1 user had this on windows as well; I cannot reproduce on macos or ubuntu. @AlexEMG any thoughts?

Just to confirm, this is the latest code git cloned, and the package is also locally imported, or your using pip, i.e. can you run import deeplabcut deeplabcut.__file__ ?

MMathisLab picture MMathisLab on 12 Nov 2020

Thanks for replying so promptly!
Yes, it should be the latest, I git cloned it last week (Wed or Thurs). I initally tried to use the environment yaml, but got the scalecrop error (Issue #869, Invalid augmenter type, scalecrop), and then used 'pip install git+https://github.com/DeepLabCut/DeepLabCut.git' to install.

running import deeplabcut deeplabcut.__file__ returns:
'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\__init__.py'

Thank you! :)

meyereli picture meyereli on 13 Nov 2020
👍1

@meyereli, could you retry running the test script after deleting the test folder previously created?

jeylau picture jeylau on 17 Nov 2020

@jeylau, I always delete the test folder from previous runs of the testscript (folder: TEST-Alex-Date). When I don't, the script fails immediatly, and only displays the error message once: "Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-11" already exists!"
When I delete the folder from previous runs, I encounter the issue above (the testscript runs the first training steps, and then fails after printing 'Create Video', and then goes into repeating the error messages endlessly).
Would it be helpful for you to have the complete terminal output from running testscript.py?

Thank you!

meyereli picture meyereli on 17 Nov 2020

@meyereli, yes please 馃槉.

jeylau picture jeylau on 17 Nov 2020

@jeylau no problem :) Brace for console output: 

(DLC-CPU) C:\WINDOWS\system32>cd /d "C:\Users\jn18421\DeepLabCut\examples"

(DLC-CPU) C:\Users\jn18421\DeepLabCut\examples>python testscript.py
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Created "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos"
Created "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\labeled-data"
Created "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\training-datasets"
Created "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\dlc-models"
Copying the videos
C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos\reachingvideo1.avi
Generated "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\config.yaml"

A new project with name TEST-Alex-2020-11-18 is created at C:\Users\jn18421\DeepLabCut\examples and a configurable file (config.yaml) is stored there. Change the parameters in this file to adapt to your project's needs.
 Once you have changed the configuration file, use the function 'extract_frames' to select frames for labeling.
. [OPTIONAL] Use the function 'add_new_videos' to add new videos to your project (at any stage).
EXTRACTING FRAMES
Config file read successfully.
Extracting frames based on kmeans ...
Kmeans-quantization based extracting of frames from 0.0  seconds to 8.53  seconds.
Extracting and downsampling... 256  frames from the video.
256it [00:01, 132.90it/s]
Kmeans clustering ... (this might take a while)
Frames were successfully extracted, for the videos of interest.

You can now label the frames using the function 'label_frames' (if you extracted enough frames for all videos).
CREATING-SOME LABELS FOR THE FRAMES
Plot labels...
Creating images with labels by Alex.
  0%|                                                                                            | 0/5 [00:00<?, ?it/s]C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\visualization.py:305: FutureWarning: Pass-through of possibly RGB images in gray2rgb is deprecated. In version 0.19, input arrays will always be considered grayscale, even if the last dimension has length 3 or 4. To prevent this warning and ensure compatibility with future versions, detect RGB images outside of this function.
  im.set_data(color.gray2rgb(ic[i]))
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If all the labels are ok, then use the function 'create_training_dataset' to create the training dataset!
CREATING TRAININGSET
The training dataset is successfully created. Use the function 'train_network' to start training. Happy training!
CHANGING training parameters to end quickly!
TRAIN
Selecting single-animal trainer
Config:
{'all_joints': [[0], [1], [2], [3]],
 'all_joints_names': ['bodypart1', 'bodypart2', 'bodypart3', 'objectA'],
 'batch_size': 1,
 'crop_pad': 0,
 'cropratio': 0.4,
 'dataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\TEST_Alex80shuffle1.mat',
 'dataset_type': 'default',
 'deterministic': False,
 'display_iters': 2,
 'fg_fraction': 0.25,
 'global_scale': 0.8,
 'init_weights': 'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\pose_estimation_tensorflow\\models\\pretrained\\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',
 'max_input_size': 1500,
 'mean_pixel': [123.68, 116.779, 103.939],
 'metadataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\Documentation_data-TEST_80shuffle1.pickle',
 'min_input_size': 64,
 'mirror': False,
 'multi_step': [[0.001, 5]],
 'net_type': 'resnet_50',
 'num_joints': 4,
 'optimizer': 'sgd',
 'pairwise_huber_loss': False,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'pos_dist_thresh': 17,
 'project_path': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18',
 'regularize': False,
 'rotation': 25,
 'rotratio': 0.4,
 'save_iters': 5,
 'scale_jitter_lo': 0.5,
 'scale_jitter_up': 1.25,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18\\dlc-models\\iteration-0\\TESTNov18-trainset80shuffle1\\train\\snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
Starting with imgaug pose-dataset loader (=default).
Batch Size is 1
Initializing ResNet
Loading ImageNet-pretrained resnet_50
2020-11-18 13:02:02.471758: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
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': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18\\dlc-models\\iteration-0\\TESTNov18-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': 'default', '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]], 'all_joints_names': ['bodypart1', 'bodypart2', 'bodypart3', 'objectA'], 'cropratio': 0.4, 'dataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\TEST_Alex80shuffle1.mat', 'display_iters': 2, 'init_weights': 'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\pose_estimation_tensorflow\\models\\pretrained\\resnet_v1_50.ckpt', 'max_input_size': 1500, 'metadataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\Documentation_data-TEST_80shuffle1.pickle', 'min_input_size': 64, 'multi_step': [[0.001, 5]], 'net_type': 'resnet_50', 'num_joints': 4, 'pos_dist_thresh': 17, 'project_path': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18', 'rotation': 25, 'rotratio': 0.4, 'save_iters': 5, 'scale_jitter_lo': 0.5, 'scale_jitter_up': 1.25, 'covering': True, 'elastic_transform': True, 'motion_blur': True, 'motion_blur_params': {'k': 7, 'angle': [-90, 90]}}
Starting training....
iteration: 2 loss: 1.2050 lr: 0.001
iteration: 4 loss: 0.5981 lr: 0.001
2020-11-18 13:03:03.773013: W tensorflow/core/kernels/queue_base.cc:277] _0_fifo_queue: Skipping cancelled enqueue attempt with queue not closed
Exception in thread Thread-2:
Traceback (most recent call last):
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
    return fn(*args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
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 "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\threading.py", line 926, in _bootstrap_inner
    self.run()
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\train.py", line 91, in load_and_enqueue
    sess.run(enqueue_op, feed_dict=food)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
    run_metadata_ptr)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
    run_metadata)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.CancelledError: Enqueue operation was cancelled
         [[node fifo_queue_enqueue (defined at C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\train.py:77) ]]

Caused by op 'fifo_queue_enqueue', defined at:
  File "testscript.py", line 136, in <module>
    deeplabcut.train_network(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\training.py", line 189, in train_network
    allow_growth=allow_growth,
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\train.py", line 172, in train
    batch, enqueue_op, placeholders = setup_preloading(batch_spec)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\train.py", line 77, in setup_preloading
    enqueue_op = q.enqueue(placeholders_list)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\ops\data_flow_ops.py", line 345, in enqueue
    self._queue_ref, vals, name=scope)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\ops\gen_data_flow_ops.py", line 4157, in queue_enqueue_v2
    timeout_ms=timeout_ms, name=name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\framework\ops.py", line 3300, in create_op
    op_def=op_def)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\framework\ops.py", line 1801, in __init__
    self._traceback = tf_stack.extract_stack()

CancelledError (see above for traceback): Enqueue operation was cancelled
         [[node fifo_queue_enqueue (defined at C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\pose_estimation_tensorflow\train.py:77) ]]


The network is now trained and ready to evaluate. Use the function 'evaluate_network' to evaluate the network.
EVALUATE
Config:
{'all_joints': [[0], [1], [2], [3]],
 'all_joints_names': ['bodypart1', 'bodypart2', 'bodypart3', 'objectA'],
 'batch_size': 1,
 'crop_pad': 0,
 'dataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\TEST_Alex80shuffle1.mat',
 'dataset_type': 'imgaug',
 'deterministic': False,
 'fg_fraction': 0.25,
 'global_scale': 0.8,
 'init_weights': 'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\pose_estimation_tensorflow\\models\\pretrained\\resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 1.0,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'mean_pixel': [123.68, 116.779, 103.939],
 'mirror': False,
 'net_type': 'resnet_50',
 'num_joints': 4,
 'optimizer': 'sgd',
 'pairwise_huber_loss': True,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'regularize': False,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18\\dlc-models\\iteration-0\\TESTNov18-trainset80shuffle1\\test\\snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
Running  DLC_resnet50_TESTNov18shuffle1_5  with # of trainingiterations: 5
Initializing ResNet
Analyzing data...
5it [00:10,  2.05s/it]
Done and results stored for snapshot:  snapshot-5
Results for 5  training iterations: 80 1 train error: 389.55 pixels. Test error: 436.84  pixels.
With pcutoff of 0.01  train error: 389.55 pixels. Test error: 436.84 pixels
Thereby, the errors are given by the average distances between the labels by DLC and the scorer.
Plotting...
100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 5/5 [00:01<00:00,  3.69it/s]
The network is evaluated and the results are stored in the subdirectory 'evaluation_results'.
If it generalizes well, choose the best model for prediction and update the config file with the appropriate index for the 'snapshotindex'.
Use the function 'analyze_video' to make predictions on new videos.
Otherwise consider retraining the network (see DeepLabCut workflow Fig 2)
CUT SHORT VIDEO AND ANALYZE (with dynamic cropping!)
ffmpeg version 2020-10-31-git-3da35b7cc7-full_build-www.gyan.dev Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 10.2.0 (Rev3, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-lzma --enable-libsnappy --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libdav1d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libglslang --enable-vulkan --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      56. 60.100 / 56. 60.100
  libavcodec     58.112.100 / 58.112.100
  libavformat    58. 64.100 / 58. 64.100
  libavdevice    58. 11.102 / 58. 11.102
  libavfilter     7. 88.100 /  7. 88.100
  libswscale      5.  8.100 /  5.  8.100
  libswresample   3.  8.100 /  3.  8.100
  libpostproc    55.  8.100 / 55.  8.100
Input #0, avi, from 'C:\Users\jn18421\DeepLabCut\examples\Reaching-Mackenzie-2018-08-30\videos\reachingvideo1.avi':
  Duration: 00:00:08.53, start: 0.000000, bitrate: 12642 kb/s
    Stream #0:0: Video: mjpeg (Baseline) (MJPG / 0x47504A4D), yuvj420p(pc, bt470bg/unknown/unknown), 832x747 [SAR 1:1 DAR 832:747], 12682 kb/s, 30 fps, 30 tbr, 30 tbn, 30 tbc
    Metadata:
      title           : ImageJ AVI
Stream mapping:
  Stream #0:0 -> #0:0 (mjpeg (native) -> mpeg4 (native))
Press [q] to stop, [?] for help
[swscaler @ 0000016d4c7ca300] deprecated pixel format used, make sure you did set range correctly
Output #0, avi, to 'C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos\reachingvideo1short.avi':
  Metadata:
    ISFT            : Lavf58.64.100
    Stream #0:0: Video: mpeg4 (FMP4 / 0x34504D46), yuv420p(tv, bt470bg/unknown/unknown, progressive), 832x747 [SAR 1:1 DAR 832:747], q=2-31, 200 kb/s, 30 fps, 30 tbn, 30 tbc
    Metadata:
      title           : ImageJ AVI
      encoder         : Lavc58.112.100 mpeg4
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
frame=   30 fps=0.0 q=31.0 Lsize=     240kB time=00:00:01.00 bitrate=1964.0kbits/s speed=4.89x
video:233kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 2.730887%
Config:
{'all_joints': [[0], [1], [2], [3]],
 'all_joints_names': ['bodypart1', 'bodypart2', 'bodypart3', 'objectA'],
 'batch_size': 1,
 'crop_pad': 0,
 'dataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\TEST_Alex80shuffle1.mat',
 'dataset_type': 'imgaug',
 'deterministic': False,
 'fg_fraction': 0.25,
 'global_scale': 0.8,
 'init_weights': 'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\pose_estimation_tensorflow\\models\\pretrained\\resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 1.0,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'mean_pixel': [123.68, 116.779, 103.939],
 'mirror': False,
 'net_type': 'resnet_50',
 'num_joints': 4,
 'optimizer': 'sgd',
 'pairwise_huber_loss': True,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'regularize': False,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18\\dlc-models\\iteration-0\\TESTNov18-trainset80shuffle1\\test\\snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
Using snapshot-5 for model C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\dlc-models\iteration-0\TESTNov18-trainset80shuffle1
Starting analysis in dynamic cropping mode with parameters: (True, 0.1, 5)
Switching batchsize to 1, num_outputs (per animal) to 1 and TFGPUinference to False (all these features are not supported in this mode).
Initializing ResNet
Starting to analyze %  C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos\reachingvideo1short.avi
C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos  already exists!
Loading  C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos\reachingvideo1short.avi
Duration of video [s]:  1.0 , recorded with  30.0 fps!
Overall # of frames:  30  found with (before cropping) frame dimensions:  832 747
Starting to extract posture
40it [00:05,  7.90it/s]
Saving results in C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos...
Saving csv poses!
The videos are analyzed. Now your research can truly start!
 You can create labeled videos with 'create_labeled_video'
If the tracking is not satisfactory for some videos, consider expanding the training set. You can use the function 'extract_outlier_frames' to extract a few representative outlier frames.
analyze again...
Config:
{'all_joints': [[0], [1], [2], [3]],
 'all_joints_names': ['bodypart1', 'bodypart2', 'bodypart3', 'objectA'],
 'batch_size': 1,
 'crop_pad': 0,
 'dataset': 'training-datasets\\iteration-0\\UnaugmentedDataSet_TESTNov18\\TEST_Alex80shuffle1.mat',
 'dataset_type': 'imgaug',
 'deterministic': False,
 'fg_fraction': 0.25,
 'global_scale': 0.8,
 'init_weights': 'C:\\Users\\jn18421\\Anaconda3\\envs\\DLC-CPU\\lib\\site-packages\\deeplabcut\\pose_estimation_tensorflow\\models\\pretrained\\resnet_v1_50.ckpt',
 'intermediate_supervision': False,
 'intermediate_supervision_layer': 12,
 'location_refinement': True,
 'locref_huber_loss': True,
 'locref_loss_weight': 1.0,
 'locref_stdev': 7.2801,
 'log_dir': 'log',
 'mean_pixel': [123.68, 116.779, 103.939],
 'mirror': False,
 'net_type': 'resnet_50',
 'num_joints': 4,
 'optimizer': 'sgd',
 'pairwise_huber_loss': True,
 'pairwise_predict': False,
 'partaffinityfield_predict': False,
 'regularize': False,
 'scoremap_dir': 'test',
 'shuffle': True,
 'snapshot_prefix': 'C:\\Users\\jn18421\\DeepLabCut\\examples\\TEST-Alex-2020-11-18\\dlc-models\\iteration-0\\TESTNov18-trainset80shuffle1\\test\\snapshot',
 'stride': 8.0,
 'weigh_negatives': False,
 'weigh_only_present_joints': False,
 'weigh_part_predictions': False,
 'weight_decay': 0.0001}
Using snapshot-5 for model C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\dlc-models\iteration-0\TESTNov18-trainset80shuffle1
Initializing ResNet
Starting to analyze %  C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos\reachingvideo1short.avi
C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18\videos  already exists!
The videos are analyzed. Now your research can truly start!
 You can create labeled videos with 'create_labeled_video'
If the tracking is not satisfactory for some videos, consider expanding the training set. You can use the function 'extract_outlier_frames' to extract a few representative outlier frames.
CREATE VIDEO
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Imported DLC!
On Windows/OSX tensorpack is not tested by default.
CREATING PROJECT
Project "C:\Users\jn18421\DeepLabCut\examples\TEST-Alex-2020-11-18" already exists!
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 56, in <module>
    cfg = deeplabcut.auxiliaryfunctions.read_config(path_config_file)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py", line 165, in read_config
    path = Path(configname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 1027, in __new__
    self = cls._from_parts(args, init=False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 674, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\pathlib.py", line 658, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 19, in <module>
    import os, subprocess, deeplabcut
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\__init__.py", line 38, in <module>
    from deeplabcut import generate_training_dataset
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\generate_training_dataset\__init__.py", line 18, in <module>
    from deeplabcut.generate_training_dataset.labeling_toolbox import *
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\generate_training_dataset\labeling_toolbox.py", line 21, in <module>
    import matplotlib.pyplot as plt
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\pyplot.py", line 40, in <module>
    from matplotlib.figure import Figure, figaspect
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\figure.py", line 20, in <module>
    from matplotlib import backends, docstring, projections
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\projections\__init__.py", line 1, in <module>
    from .. import axes, cbook
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\axes\__init__.py", line 1, in <module>
    from ._subplots import *
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\axes\_subplots.py", line 6, in <module>
    from matplotlib.axes._axes import Axes
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\axes\_axes.py", line 97, in <module>
    class Axes(_AxesBase):
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\axes\_axes.py", line 1062, in Axes
    label='', **kwargs):
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\matplotlib\__init__.py", line 1583, in _preprocess_data
    new_sig = sig.replace(parameters=params)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\inspect.py", line 2856, in replace
    return_annotation=return_annotation)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\inspect.py", line 2750, in __init__
    def __init__(self, parameters=None, *, return_annotation=_empty,
KeyboardInterrupt
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 19, in <module>
    import os, subprocess, deeplabcut
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\__init__.py", line 14, in <module>
    import tensorflow as tf
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 37, in <module>
    from tensorflow.python import pywrap_dlopen_global_flags
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 724, in exec_module
  File "<frozen importlib._bootstrap_external>", line 854, in get_code
  File "<frozen importlib._bootstrap>", line 222, in _verbose_message
KeyboardInterrupt
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 19, in <module>
    import os, subprocess, deeplabcut
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\__init__.py", line 14, in <module>
    import tensorflow as tf
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\__init__.py", line 52, in <module>
    from tensorflow.core.framework.graph_pb2 import *
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 6, in <module>
    from google.protobuf import descriptor as _descriptor
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\__init__.py", line 37, in <module>
    __import__('pkg_resources').declare_namespace(__name__)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\__init__.py", line 76, in <module>
    __import__('pkg_resources.extern.packaging.specifiers')
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\_vendor\packaging\specifiers.py", line 11, in <module>
    from ._compat import string_types, with_metaclass
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 151, in __exit__
KeyboardInterrupt
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 19, in <module>
    import os, subprocess, deeplabcut
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\__init__.py", line 14, in <module>
    import tensorflow as tf
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\__init__.py", line 52, in <module>
    from tensorflow.core.framework.graph_pb2 import *
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 6, in <module>
    from google.protobuf import descriptor as _descriptor
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\__init__.py", line 37, in <module>
    __import__('pkg_resources').declare_namespace(__name__)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\__init__.py", line 77, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\_vendor\packaging\requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 668, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 638, in _load_backward_compatible
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\extern\__init__.py", line 43, in load_module
    __import__(extant)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\_vendor\pyparsing.py", line 5399, in <module>
    class pyparsing_common:
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\_vendor\pyparsing.py", line 5662, in pyparsing_common
    + Optional( White(" \t") ) ) ).streamline().setName("commaItem")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\pkg_resources\_vendor\pyparsing.py", line 2654, in __init__
    super(Word,self).__init__()
KeyboardInterrupt
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\jn18421\DeepLabCut\examples\testscript.py", line 19, in <module>
    import os, subprocess, deeplabcut
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\deeplabcut\__init__.py", line 14, in <module>
    import tensorflow as tf
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\__init__.py", line 96, in <module>
    from tensorflow.python.profiler import profiler
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\python\profiler\profiler.py", line 22, in <module>
    from tensorflow.core.profiler.tfprof_log_pb2 import OpLogProto
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\tensorflow\core\profiler\tfprof_log_pb2.py", line 1352, in <module>
    __module__ = 'tensorflow.core.profiler.tfprof_log_pb2'
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\internal\python_message.py", line 196, in __init__
    _AttachFieldHelpers(cls, field)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\internal\python_message.py", line 370, in _AttachFieldHelpers
    False)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\internal\python_message.py", line 330, in AddDecoder
    tag_bytes = encoder.TagBytes(field_descriptor.number, wiretype)
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\internal\encoder.py", line 424, in TagBytes
    _VarintBytes(wire_format.PackTag(field_number, wire_type)))
  File "C:\Users\jn18421\Anaconda3\envs\DLC-CPU\lib\site-packages\google\protobuf\internal\encoder.py", line 417, in _VarintBytes
    return b"".join(pieces)
KeyboardInterrupt
forrtl: error (200): program aborting due to control-C event
Image              PC                Routine            Line        Source
libifcoremd.dll    00007FFEEAE63B58  Unknown               Unknown  Unknown
KERNELBASE.dll     00007FFF68C99D93  Unknown               Unknown  Unknown
KERNEL32.DLL       00007FFF690E7034  Unknown               Unknown  Unknown
ntdll.dll          00007FFF6AFFCEC1  Unknown               Unknown  Unknown

(DLC-CPU) C:\Users\jn18421\DeepLabCut\examples>
meyereli picture meyereli on 18 Nov 2020

@meyereli can you go here: C:\Users\jn18421\DeepLabCut\ and run ./reinstall.sh

MMathisLab picture MMathisLab on 20 Nov 2020

Hi there - I am also encountering this same issue and tried to run ./reinstall.sh. However, I ran into the following error:

Successfully uninstalled deeplabcut-2.1.9
./reinstall.sh: line 2: /c/Users/freschlin/AppData/Local/Microsoft/WindowsApps/python3: Permission denied
WARNING: Requirement 'dist/deeplabcut-2.1.9-py3-none-any.whl' looks like a filename, but the file does not exist
Processing c:\users\freschlin\deeplabcut\dist\deeplabcut-2.1.9-py3-none-any.whl
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'C:\Users\freschlin\DeepLabCut\dist\deeplabcut-2.1.9-py3-none-any.whl'

Do you have any advice on how to address this? It successfully uninstalls DeepLabCut, but it seems that line 2 of the .sh file was unable to? Then it's unable to find the .whl file.

Thanks!

cfreschlin picture cfreschlin on 20 Nov 2020

Oh right, for Windows you鈥檇 need to edit that file to have windows styled paths; you can open it in any text editor

MMathisLab picture MMathisLab on 20 Nov 2020

Thank you @MMathisLab for your reply! :) Unfortunately, I can't run the third line in the script (pip install dist/deeplabcut-2.2b8-py3-none-any.whl) either as I can't find this file? Where would it be expected? I'm sorry, I'm not familar with UNIX style file paths (and google hasn't been helpful in this case), so not sure what the 'dist' equivalent for Windows is expected to be, in order to reformat it... Thanks again!

meyereli picture meyereli on 23 Nov 2020
👍1

@AlexEMG - maybe you can chip in (i'm not a windows expert :)

MMathisLab picture MMathisLab on 23 Nov 2020
👍1
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