Video Analysis Error(s). M1 max. GUI error: "ValueError: array must not contain infs or NaNs", command line error: "ValueError: not enough values to unpack (expected 2, got 0)"

### Is there an existing issue for this?

- [X] I have searched the existing issues

### Bug description

When analyzing videos I do not get a .csv file or video with all detections created, even though those options are selected in the GUI. The only files that are output at a "...meta.pickle" and "...full.pickle" for the video I had selected to be analyzed. However, when attempting to analyze videos through the command line I receive additional output files ending in "...el.pickle" and "...assemblies.pickle" but still no .csv, .h5, or video with detections.

### Operating System

macOS Ventura 13.2

### DeepLabCut version

DLC Version: 2.3.0

Napari Version: 0.1.1.dev3+g5a5709d

### DeepLabCut mode

multi animal

### Device type

M1 Max

### Steps To Reproduce

### **GUI Route**

#### At the command line:

1. Enter "conda activate DEEPLABCUT_M1"
2. Enter "python -m deeplabcut"

#### In the GUI:

3. Select config file for project
4. (Under analyze video tab) Select: Calibrate assembly, Create video with all detections, Save result(s) as csv
- **Note:** It doesn't matter if I also select Filter predictions and Plot trajectories. The error I receive is the same.
5. Analyze Video

### **Command Line Route**

#### At the command Line:
1. "python"
2. "import deeplabcut"
3. "config_path = '/Users/adanredwine/Desktop/OpenArena-RedwineAdan-2023-01-05/config.yaml'"
4. "deeplabcut.analyze_videos(config_path, ['/Users/adanredwine/Desktop/Test_ShortVideo.mp4'], shuffle=4, save_as_csv=True, videotype='.mp4')"


### Relevant log output

```shell
# GUI Route

Loading DLC 2.3.0...
Starting GUI...
2023-02-05 16:10:45.094 python[15989:6016883] +[CATransaction synchronize] called within transaction
2023-02-05 16:16:01.980 python[15989:6016883] +[CATransaction synchronize] called within transaction
/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/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 '
Traceback (most recent call last):
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/utils/auxfun_multianimal.py", line 217, in LoadFullMultiAnimalData
    with open(data_file, "rb") as handle:
FileNotFoundError: [Errno 2] No such file or directory: '/Users/adanredwine/Desktop/Test_ShortVideoDLC_resnet50_OpenArenaJan5shuffle4_135000_full.pickle'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/gui/tabs/analyze_videos.py", line 324, in analyze_videos
    deeplabcut.create_video_with_all_detections(
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/utils/make_labeled_video.py", line 979, in create_video_with_all_detections
    data, _ = auxfun_multianimal.LoadFullMultiAnimalData(h5file)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/utils/auxfun_multianimal.py", line 220, in LoadFullMultiAnimalData
    data = shelve.open(data_file, flag="r")
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/shelve.py", line 243, in open
    return DbfilenameShelf(filename, flag, protocol, writeback)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/shelve.py", line 227, in __init__
    Shelf.__init__(self, dbm.open(filename, flag), protocol, writeback)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/dbm/__init__.py", line 85, in open
    raise error[0]("db file doesn't exist; "
dbm.error: db file doesn't exist; use 'c' or 'n' flag to create a new db
Metal device set to: Apple M1 Max

systemMemory: 64.00 GB
maxCacheSize: 24.00 GB

2023-02-05 16:16:30.399725: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:306] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.
2023-02-05 16:16:30.399883: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:272] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)
2023-02-05 16:16:30.414092: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
2023-02-05 16:16:30.426524: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
2023-02-05 16:16:30.428923: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
2023-02-05 16:16:30.946282: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
2023-02-05 16:16:30.955074: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
  0%|                                                                                                                                | 0/8604 [00:00<?, ?it/s]2023-02-05 16:16:31.345890: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8604/8604 [03:53<00:00, 36.84it/s]/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/pose_estimation_tensorflow/lib/inferenceutils.py:301: RuntimeWarning: Mean of empty slice
  mu = np.nanmean(dists, axis=0)
Traceback (most recent call last):
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/gui/utils.py", line 22, in run
    self.func()
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/pose_estimation_tensorflow/predict_videos.py", line 640, in analyze_videos
    convert_detections2tracklets(
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/pose_estimation_tensorflow/predict_videos.py", line 1818, in convert_detections2tracklets
    ass.calibrate(train_data_file)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/pose_estimation_tensorflow/lib/inferenceutils.py", line 305, in calibrate
    kde = gaussian_kde(dists.T)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/scipy/stats/_kde.py", line 207, in __init__
    self.set_bandwidth(bw_method=bw_method)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/scipy/stats/_kde.py", line 555, in set_bandwidth
    self._compute_covariance()
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/scipy/stats/_kde.py", line 567, in _compute_covariance
    self._data_inv_cov = linalg.inv(self._data_covariance)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/scipy/linalg/_basic.py", line 927, in inv
    a1 = _asarray_validated(a, check_finite=check_finite)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/scipy/_lib/_util.py", line 287, in _asarray_validated
    a = toarray(a)
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/numpy/lib/function_base.py", line 627, in asarray_chkfinite
    raise ValueError(
ValueError: array must not contain infs or NaNs


# Command Line Route

❯ python
Python 3.9.15 | packaged by conda-forge | (main, Nov 22 2022, 08:48:25) 
[Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import deeplabcut
Loading DLC 2.3.0...
>>> config_path = '/Users/adanredwine/Desktop/OpenArena-RedwineAdan-2023-01-05/config.yaml'
>>> deeplabcut.analyze_videos(config_path, ['/Users/adanredwine/Desktop/Test_ShortVideo.mp4'], shuffle=4, save_as_csv=True, videotype='.mp4')
Using snapshot-135000 for model /Users/adanredwine/Desktop/OpenArena-RedwineAdan-2023-01-05/dlc-models/iteration-0/OpenArenaJan5-trainset95shuffle4
/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/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 '
Activating extracting of PAFs
Metal device set to: Apple M1 Max

systemMemory: 64.00 GB
maxCacheSize: 24.00 GB

2023-02-05 16:45:07.056795: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:306] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.
2023-02-05 16:45:07.056969: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:272] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)
2023-02-05 16:45:07.070648: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
2023-02-05 16:45:07.083392: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
2023-02-05 16:45:07.085747: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
2023-02-05 16:45:07.556080: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
2023-02-05 16:45:07.564346: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
Starting to analyze %  /Users/adanredwine/Desktop/Test_ShortVideo.mp4
Loading  /Users/adanredwine/Desktop/Test_ShortVideo.mp4
Duration of video [s]:  286.8 , recorded with  30.0 fps!
Overall # of frames:  8604  found with (before cropping) frame dimensions:  1280 720
Starting to extract posture from the video(s) with batchsize: 10
  0%|                                                                                                                              | 0/8604 [00:00<?, ?it/s]2023-02-05 16:45:07.943733: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8604/8604 [03:53<00:00, 36.78it/s]
Video Analyzed. Saving results in /Users/adanredwine/Desktop...
Using snapshot-135000 for model /Users/adanredwine/Desktop/OpenArena-RedwineAdan-2023-01-05/dlc-models/iteration-0/OpenArenaJan5-trainset95shuffle4
Processing...  /Users/adanredwine/Desktop/Test_ShortVideo.mp4
Analyzing /Users/adanredwine/Desktop/Test_ShortVideoDLC_resnet50_OpenArenaJan5shuffle4_135000.h5
8604it [00:01, 7587.25it/s]
8604it [00:00, 4841399.47it/s]
The tracklets were created (i.e., under the hood deeplabcut.convert_detections2tracklets was run). Now you can 'refine_tracklets' in the GUI, or run 'deeplabcut.stitch_tracklets'.
Processing...  /Users/adanredwine/Desktop/Test_ShortVideo.mp4
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/pose_estimation_tensorflow/predict_videos.py", line 651, in analyze_videos
    stitch_tracklets(
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/refine_training_dataset/stitch.py", line 1177, in stitch_tracklets
    stitcher = TrackletStitcher.from_pickle(
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/refine_training_dataset/stitch.py", line 522, in from_pickle
    class_ = cls.from_dict_of_dict(
  File "/Users/adanredwine/miniconda/envs/DEEPLABCUT_M1/lib/python3.9/site-packages/deeplabcut/refine_training_dataset/stitch.py", line 541, in from_dict_of_dict
    inds, data = zip(*[(cls.get_frame_ind(k), v) for k, v in dict_.items()])
ValueError: not enough values to unpack (expected 2, got 0)
```


### Anything else?

_No response_

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/DeepLabCut/DeepLabCut/blob/master/CODE_OF_CONDUCT.md)

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Video Analysis Error(s). M1 max. GUI error: "ValueError: array must not contain infs or NaNs", command line error: "ValueError: not enough values to unpack (expected 2, got 0)" #2146

Is there an existing issue for this?

Bug description

Operating System

DeepLabCut version

DeepLabCut mode

Device type

Steps To Reproduce

GUI Route

At the command line:

In the GUI:

Command Line Route

At the command Line:

Relevant log output

Anything else?

Code of Conduct

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Uh oh!

Video Analysis Error(s). M1 max. GUI error: "ValueError: array must not contain infs or NaNs", command line error: "ValueError: not enough values to unpack (expected 2, got 0)" #2146

Description

Is there an existing issue for this?

Bug description

Operating System

DeepLabCut version

DeepLabCut mode

Device type

Steps To Reproduce

GUI Route

At the command line:

In the GUI:

Command Line Route

At the command Line:

Relevant log output

Anything else?

Code of Conduct

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions