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Hello,
We have been experiencing a problem with DeepLabCut since the most recent update. The program freezes consistently, either while analyzing a video or when trying to create a video with the predicted poses.
We have tried reinstalling DeepLabCut, but the issue continues. Before the latest update, everything was working well without these problems.
Has anyone else experienced this issue, or is there a recommended solution or workaround?
Any help would be greatly appreciated.
Mona
Steps To Reproduce
Open DeepLabCut 3.0.1.
Open an existing DeepLabCut project.
Select a video for analysis.
Start Analyze Videos.
DeepLabCut begins processing the video but eventually freezes and becomes unresponsive.
The same issue also occurs when attempting to create a video with the predicted poses after analysis.
We have reproduced the issue multiple times, and it occurs consistently. We also tried reinstalling DeepLabCut, but the freezing continued.
Thank you for the report, I'm currently investigating to see whether this is a similar failure as was fixed by #3449, or if it is something else.
A few things that would be very useful to help us get to the bottom of this:
Could you share the terminal output around the time the failure occurs? Without this it is much more difficult for us to locate the exact stage at which the issue occurs.
Could you try doing the same in ipython using the API directly? As an example, adapt the paths and shuffle as needed:
importdeeplabcutconfig_path=r"C:\path\to\project\config.yaml"video_path=r"C:\path\to\video.mp4"deeplabcut.analyze_videos(
config_path,
[video_path],
shuffle=1, # change to your own
)
Is the freezing tied to the analysis stopping, or is the GUI stuck while the processing continues in the terminal?
Is this tied to a particular video or type of video?
Please let me know if you have any questions; if you need a workaround in the meantime, you could try reverting to the previous version that worked for you while we fix this.
Here is the terminal output around the time the failure occurs (Training for epoch 200 done, starting evaluation
Epoch 200/200 (lr=1e-05), train loss 0.00734, valid loss 0.00916
Model performance:
metrics/test.rmse: 78.37
metrics/test.rmse_pcutoff: nan
metrics/test.mAP: 36.83
metrics/test.mAR: 40.00
100%|██████████████████████████████████████████████████████████████████████████████████| 43/43 [00:47<00:00, 1.10s/it]
100%|████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 20.87it/s]
100%|████████████████████████████████████████████████████████████████████████████████| 455/455 [13:21<00:00, 1.76s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 459/459 [14:07<00:00, 1.85s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 453/453 [15:49<00:00, 2.10s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 453/453 [17:18<00:00, 2.29s/it]
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:76: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig1 = plt.figure(figsize=(8, 6))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:83: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig2 = plt.figure(figsize=(10, 3))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:89: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig3 = plt.figure(figsize=(10, 3))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:95: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig4 = plt.figure()
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:165: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
plt.show())
Is the freezing tied to the analysis stopping, or is the GUI stuck while the processing continues in the terminal?
The GUI is stuck, and at the same time the analysis process stops.
Is this tied to a particular video or type of video?
No, I have tried one video and multiple videos. Also tried different video types
@MMathisLab I would reopen for now as the fix is in #3466, it just got delayed amidst other refactors but I think can still be in 3.0.3, which solves this sooner. Let me know if you disagree
Activity
C-Achard commentedon Aug 26, 2026
Hello @mabdelha-92,
Thank you for the report, I'm currently investigating to see whether this is a similar failure as was fixed by #3449, or if it is something else.
A few things that would be very useful to help us get to the bottom of this:
ipythonusing the API directly? As an example, adapt the paths and shuffle as needed:Please let me know if you have any questions; if you need a workaround in the meantime, you could try reverting to the previous version that worked for you while we fix this.
Best,
Cyril
mabdelha-92 commentedon Aug 27, 2026
Here is the terminal output around the time the failure occurs (Training for epoch 200 done, starting evaluation
Epoch 200/200 (lr=1e-05), train loss 0.00734, valid loss 0.00916
Model performance:
metrics/test.rmse: 78.37
metrics/test.rmse_pcutoff: nan
metrics/test.mAP: 36.83
metrics/test.mAR: 40.00
100%|██████████████████████████████████████████████████████████████████████████████████| 43/43 [00:47<00:00, 1.10s/it]
100%|████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 20.87it/s]
100%|████████████████████████████████████████████████████████████████████████████████| 455/455 [13:21<00:00, 1.76s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 459/459 [14:07<00:00, 1.85s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 453/453 [15:49<00:00, 2.10s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 453/453 [17:18<00:00, 2.29s/it]
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:76: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig1 = plt.figure(figsize=(8, 6))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:83: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig2 = plt.figure(figsize=(10, 3))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:89: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig3 = plt.figure(figsize=(10, 3))
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:95: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
fig4 = plt.figure()
C:\Users\mabdelha\AppData\Local\miniconda3\envs\DEEPLABCUT\lib\site-packages\deeplabcut\utils\plotting.py:165: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail.
plt.show())
Is the freezing tied to the analysis stopping, or is the GUI stuck while the processing continues in the terminal?
The GUI is stuck, and at the same time the analysis process stops.
Is this tied to a particular video or type of video?
No, I have tried one video and multiple videos. Also tried different video types
C-Achard commentedon Aug 28, 2026
Thanks for the additional logs @mabdelha-92; this is directly related to the Matplotlib GUI opening in the wrong thread.
If you disable plotting for analysis this should not occur. The issue is now fixed in #3466, and will be merged in the next release.
Please let me know if you encounter further problems such as this one, or if you need a workaround to unblock your work.
Best,
Cyril
C-Achard commentedon Nov 2, 2026
@MMathisLab I would reopen for now as the fix is in #3466, it just got delayed amidst other refactors but I think can still be in 3.0.3, which solves this sooner. Let me know if you disagree