Kernel stuck, no response after Step 4: Cell index:X sent to kernel #17152
Description
Applies To
- Notebooks (.ipynb files)
- Interactive Window and/or Cell Scripts (.py files with #%% markers)
What happened?
I execute a cell, and the cell is pending forever. I expect the cell to execute. Below is the relevant output in the logs.
Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
15:09:54.951 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
15:09:54.951 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
15:09:54.951 [trace] executeCell 43. Step 4
15:09:54.951 [trace] Cell Index:43 sent to kernel
This happens seemingly randomly. Sometimes I can use a notebook for hours without problems, other times it happens after I executed a couple of cells. To solve the problem, I need to restart the notebook.
I just reinstalled Windows from scratch last week, hoping it would fix the issue, and currently have very few extensions installed (they are all from Microsoft to use notebooks).
Thank you for your help.
VS Code Version
Version: 1.105.1 (system setup) Commit: 7d842fb85a0275a4a8e4d7e040d2625abbf7f084 Date: 2025-10-14T22:33:36.618Z Electron: 37.6.0 ElectronBuildId: 12502201 Chromium: 138.0.7204.251 Node.js: 22.19.0 V8: 13.8.258.32-electron.0 OS: Windows_NT x64 10.0.19045
Jupyter Extension Version
v2025.9.1
Jupyter logs
Visual Studio Code (1.105.1, undefined, desktop)
Jupyter Extension Version: 2025.9.1.
Python Extension Version: 2025.18.0.
Python Environment Extension Version: 1.12.0.
Pylance Extension Version: 2025.9.1.
Platform: win32 (x64).
Home = c:\Users\etien
Temp Storage folder ~\AppData\Roaming\Code\User\globalStorage\ms-toolsai.jupyter\version-2025.9.1
Workspace folder ~\Documents\GitHub\handLearning
14:05:04.886 [debug] getDataDirsImpl, Class name = zr (started execution), Arg 1: undefined, Arg 2: undefined
14:05:04.886 [debug] Start refreshing Kernel Picker (1763406304886)
14:05:06.367 [debug] Get Custom Env Variables, Class name = Gm, completed in 1481ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
14:05:06.368 [debug] Jupyter Paths :
14:05:06.369 [debug] getDataDirsImpl, Class name = zr, completed in 1483ms, has a truthy return value, Arg 1: undefined, Arg 2: undefined, Return Value: <Uri:/C:/Users/<username>/AppData/Roaming/jupyter>, <Uri:/C:/ProgramData/jupyter>
14:05:06.369 [debug] Kernel Spec Root Paths, ~\AppData\Roaming\jupyter\kernels, c:\ProgramData\jupyter\kernels
14:05:06.401 [debug] End refreshing Kernel Picker (1763406304886)
14:05:09.184 [debug] Start refreshing Interpreter Kernel Picker
14:05:09.184 [debug] Start refreshing Kernel Picker (1763406309184)
14:05:10.635 [trace] Python API env change detected, add => '~\AppData\Local\anaconda3\python.exe'
14:05:10.636 [trace] Search for KernelSpecs in Interpreter ~\AppData\Local\anaconda3\python.exe
14:05:10.637 [trace] Python API env change detected, add => '~\AppData\Local\anaconda3\envs\baseToClone\python.exe'
14:05:10.637 [trace] Search for KernelSpecs in Interpreter ~\AppData\Local\anaconda3\envs\baseToClone\python.exe
14:05:10.637 [trace] Python API env change detected, add => '~\AppData\Local\anaconda3\envs\PyTorch\python.exe'
14:05:10.638 [trace] Search for KernelSpecs in Interpreter ~\AppData\Local\anaconda3\envs\PyTorch\python.exe
14:05:10.643 [debug] Refreshed Environments
14:05:10.670 [trace] Detected change in Active Python environment via Python API
14:05:10.728 [trace] Python API env change detected, add => '~\AppData\Local\anaconda3\python.exe'
14:05:10.735 [debug] KernelProvider switched kernel to id = .jvsc74a57bd05b19f9d5955bee7f8433b0848cf70a4b57f840e771aeaf17def84e17f078c065.~\AppData\Local\anaconda3\envs\PyTorch\python.exe.~\AppData\Local\anaconda3\envs\PyTorch\python.exe.-m#ipykernel_launcher
14:05:10.735 [debug] start the kernel, options.disableUI=true for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:10.782 [trace] Registering commtarget jupyter.widget
14:05:10.783 [debug] Controller selection change completed
14:05:10.814 [trace] Hiding default KernelSpec ~\AppData\Local\anaconda3\envs\baseToClone\python.exe for interpreter ~\AppData\Local\anaconda3\envs\baseToClone\python.exe (KernelSpec file ~\AppData\Local\anaconda3\envs\baseToClone\share\jupyter\kernels\python3\kernel.json)
14:05:10.815 [trace] Hiding default KernelSpec ~\AppData\Local\anaconda3\python.exe for interpreter ~\AppData\Local\anaconda3\python.exe (KernelSpec file ~\AppData\Local\anaconda3\share\jupyter\kernels\python3\kernel.json)
14:05:10.815 [trace] Hiding default KernelSpec ~\AppData\Local\anaconda3\envs\PyTorch\python.exe for interpreter ~\AppData\Local\anaconda3\envs\PyTorch\python.exe (KernelSpec file ~\AppData\Local\anaconda3\envs\PyTorch\share\jupyter\kernels\python3\kernel.json)
14:05:10.817 [info] Starting Kernel (Python Path: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe, Conda, 3.12.12) for '~\Documents\GitHub\handLearning\mediaPipe.ipynb' (disableUI=true)
14:05:10.818 [trace] Creating raw notebook for resource '~\Documents\GitHub\handLearning\mediaPipe.ipynb'
14:05:10.963 [debug] Launching kernel .jvsc74a57bd05b19f9d5955bee7f8433b0848cf70a4b57f840e771aeaf17def84e17f078c065.~\AppData\Local\anaconda3\envs\PyTorch\python.exe.~\AppData\Local\anaconda3\envs\PyTorch\python.exe.-m#ipykernel_launcher for ~\Documents\GitHub\handLearning\mediaPipe.ipynb in ~\Documents\GitHub\handLearning with ports 9001, 9000, 9004, 9002, 9003
14:05:10.979 [debug] Get Custom Env Variables, Class name = Gm, completed in 1ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning", Arg 2: "RunPythonCode"
14:05:11.006 [debug] Get Custom Env Variables, Class name = Gm, completed in 1ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "RunPythonCode"
14:05:11.645 [debug] End refreshing Kernel Picker (1763406309184)
14:05:12.723 [trace] Python API env change detected, add => '~\AppData\Local\anaconda3\python.exe'
14:05:12.723 [debug] Start refreshing Kernel Picker (1763406312723)
14:05:12.725 [debug] End refreshing Kernel Picker (1763406312723)
14:05:13.409 [debug] Handle Execution of Cells 0 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:13.410 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:13.410 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:15.239 [trace] Conda file is ~\AppData\Local\anaconda3\Scripts\conda.exe
14:05:16.403 [debug] Handle Execution of Cells 2 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:16.403 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:16.403 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:24.117 [debug] Got env vars from Python Ext in 13116ms for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe, with env var count 69.
14:05:24.117 [trace] Prepend PATH with python bin for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe
14:05:24.118 [debug] Getting activated env variables, Class name = Wd, completed in 13117ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "~\\AppData\\Local\\anaconda3\\envs\\PyTorch\\python.exe", Arg 3: undefined
14:05:24.123 [info] Process Execution: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)"
14:05:24.128 [info] Process Execution: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 9656
> cwd: ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\vscode_datascience_helpers
14:05:24.130 [debug] Handle Execution of Cells 4 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:24.132 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:24.132 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:24.325 [trace] Got a response of 2228 for INITIALIZE_INTERRUPT:0
14:05:24.330 [info] Process Execution: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe -m ipykernel_launcher --f=~\AppData\Roaming\jupyter\runtime\kernel-v35b99766f8bfa166397c0958d44ac0d6468027316.json
> cwd: ~\Documents\GitHub\handLearning
14:05:24.331 [debug] Kernel process 21664.
14:05:24.756 [trace] ipykernel version & path 7.1.0, ~\AppData\Local\anaconda3\envs\PyTorch\Lib\site-packages\ipykernel\__init__.py for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe
14:05:25.540 [debug] Kernel output 21664: To connect another client to this kernel, use:
--existing ~\AppData\Roaming\jupyter\runtime\kernel-v35b99766f8bfa166397c0958d44ac0d6468027316.json
14:05:25.656 [debug] Waiting for Raw Session to be ready in postStartRawSession
14:05:25.656 [debug] Waiting for Raw session to be ready, status: connected
14:05:25.656 [trace] Raw session connected
14:05:25.657 [debug] Waited for Raw session to be ready & got status: connected
14:05:25.657 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
14:05:25.657 [debug] Kernel status is 'unknown' before requesting kernel info and after ready
14:05:25.657 [debug] Sending request for kernelInfo
14:05:25.758 [trace] Got response for requestKernelInfo
14:05:25.758 [debug] Successfully completed postStartRawSession after 1 attempt(s) in 101ms
14:05:25.760 [trace] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
14:05:25.768 [trace] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
14:05:25.769 [trace] Started running kernel initialization for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:25.769 [trace] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
14:05:25.774 [trace] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 0 output(s)
14:05:25.775 [trace] Determined IPyWidgets Version as undefined
14:05:25.775 [trace] Executing silently Code (idle) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None):
14:05:25.786 [trace] Executing silently Code (completed) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None): with 0 output(s)
14:05:25.787 [debug] Requesting Kernel info
14:05:25.787 [trace] Got Kernel info
14:05:25.787 [trace] End running kernel initialization, now waiting for idle
14:05:25.787 [trace] Waiting for idle on (kernel): 4ac0641e-eec6-4e7d-9fad-985e15004e8a -> idle
14:05:25.787 [trace] Finished waiting for idle on (kernel): 4ac0641e-eec6-4e7d-9fad-985e15004e8a -> idle
14:05:25.787 [trace] End running kernel initialization, session is idle
14:05:25.788 [trace] Registering Kernel Completion Provider from kernel PyTorch (Python 3.12.12) for language python
14:05:25.789 [trace] IPyWidgetScriptSource.initialize
14:05:25.790 [info] Kernel successfully started
14:05:25.792 [debug] getDataDirsImpl, Class name = zr (started execution), Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "~\\AppData\\Local\\anaconda3\\envs\\PyTorch\\python.exe"
14:05:25.793 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:25.793 [trace] executeCell 0. Step 4
14:05:25.794 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:25.794 [trace] executeCell 2. Step 4
14:05:25.794 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:25.794 [trace] executeCell 4. Step 4
14:05:25.796 [trace] Cell Index:0 sent to kernel
14:05:25.806 [trace] Start cell 0 execution @ 1763406325806 (clear output)
14:05:25.806 [debug] Kernel acknowledged execution of cell 0 @ 1763406325806
14:05:25.881 [debug] Get Custom Env Variables, Class name = Gm, completed in 1ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "RunPythonCode"
14:05:25.900 [debug] Got env vars from Python Ext in 20ms for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe, with env var count 69.
14:05:25.900 [trace] Prepend PATH with python bin for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe
14:05:25.900 [debug] Getting activated env variables, Class name = Wd, completed in 20ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "~\\AppData\\Local\\anaconda3\\envs\\PyTorch\\python.exe", Arg 3: undefined
14:05:25.906 [info] Process Execution: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\printJupyterDataDir.py
14:05:25.958 [debug] getDataDirsImpl, Class name = zr, completed in 166ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning/mediaPipe.ipynb", Arg 2: "~\\AppData\\Local\\anaconda3\\envs\\PyTorch\\python.exe", Return Value: <Uri:/C:/Users/<username>/AppData/Roaming/jupyter>, <Uri:/C:/Users/<username>/AppData/Local/anaconda3/envs/PyTorch/share/jupyter>, <Uri:/C:/ProgramData/jupyter>
14:05:26.888 [debug] Got env vars from Python Ext in 15910ms for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe, with env var count 69.
14:05:26.888 [trace] Prepend PATH with python bin for ~\AppData\Local\anaconda3\envs\PyTorch\python.exe
14:05:26.888 [debug] Getting activated env variables, Class name = Wd, completed in 15910ms, has a truthy return value, Arg 1: "/c:/Users/<username>/Documents/GitHub/handLearning", Arg 2: "~\\AppData\\Local\\anaconda3\\envs\\PyTorch\\python.exe", Arg 3: undefined
14:05:26.892 [info] Process Execution: ~\AppData\Local\anaconda3\envs\PyTorch\python.exe -m pip list
14:05:31.849 [trace] Cell 0 completed in 6.042s (start: 1763406325806, end: 1763406331848)
14:05:31.849 [trace] Cell 0 executed successfully
14:05:31.850 [trace] Cell Index:2 sent to kernel
14:05:31.885 [trace] Start cell 2 execution @ 1763406331885 (clear output)
14:05:31.885 [debug] Kernel acknowledged execution of cell 2 @ 1763406331885
14:05:31.900 [trace] Cell 2 completed in 0.015s (start: 1763406331885, end: 1763406331900)
14:05:31.900 [trace] Cell 2 executed successfully
14:05:31.901 [trace] Cell Index:4 sent to kernel
14:05:31.908 [trace] Start cell 4 execution @ 1763406331908 (clear output)
14:05:31.908 [debug] Kernel acknowledged execution of cell 4 @ 1763406331908
14:05:36.157 [trace] Cell 4 completed in 4.249s (start: 1763406331908, end: 1763406336157)
14:05:36.158 [trace] Cell 4 executed successfully
14:05:42.918 [debug] Handle Execution of Cells 31 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:42.918 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:42.918 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:42.918 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:42.918 [trace] executeCell 31. Step 4
14:05:42.919 [trace] Cell Index:31 sent to kernel
14:05:42.924 [trace] Start cell 31 execution @ 1763406342924 (clear output)
14:05:42.924 [debug] Kernel acknowledged execution of cell 31 @ 1763406342924
14:05:42.926 [trace] Cell 31 completed in 0.002s (start: 1763406342924, end: 1763406342926)
14:05:42.926 [trace] Cell 31 executed successfully
14:05:44.608 [debug] Handle Execution of Cells 32 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:44.609 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:44.609 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:44.609 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:44.609 [trace] executeCell 32. Step 4
14:05:44.609 [trace] Cell Index:32 sent to kernel
14:05:44.612 [trace] Start cell 32 execution @ 1763406344612 (clear output)
14:05:44.613 [debug] Kernel acknowledged execution of cell 32 @ 1763406344612
14:05:44.872 [debug] KernelProcess error 21664: INFO: Created TensorFlow Lite X
14:05:44.872 [debug] KernelProcess error 21664: NNPACK delegate for CPU.
14:05:44.891 [debug] KernelProcess error 21664: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
W0000 00:00:1763406344.891950 13204 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:05:44.914 [debug] KernelProcess error 21664: W0000 00:00:1763406344.915756 13204 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:05:44.961 [debug] KernelProcess error 21664: W0000 00:00:1763406344.962474 13204 landmark_projection_calculator.cc:186] Using NORM_RECT without IMAGE_DIMENSIONS is only supported for the square ROI. Provide IMAGE_DIMENSIONS or use PROJECTION_MATRIX.
14:05:45.009 [debug] KernelProcess error 21664: W0000 00:00:1763406345.010665 24032 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:05:45.035 [debug] KernelProcess error 21664: W0000 00:00:1763406345.036251 24032 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:05:45.138 [debug] KernelProcess error 21664: W0000 00:00:1763406345.140008 10092 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:05:47.520 [trace] Cell 32 completed in 2.907s (start: 1763406344612, end: 1763406347519)
14:05:47.520 [trace] Cell 32 executed successfully
14:05:51.811 [debug] Handle Execution of Cells 33 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:51.812 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:51.812 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:51.812 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:51.812 [trace] executeCell 33. Step 4
14:05:51.813 [trace] Cell Index:33 sent to kernel
14:05:51.820 [trace] Start cell 33 execution @ 1763406351820 (clear output)
14:05:51.820 [debug] Kernel acknowledged execution of cell 33 @ 1763406351820
14:05:51.822 [trace] Cell 33 completed in 0.001s (start: 1763406351820, end: 1763406351821)
14:05:51.822 [trace] Cell 33 executed successfully
14:05:56.433 [debug] Handle Execution of Cells 34 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:05:56.434 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:05:56.434 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:05:56.434 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:05:56.434 [trace] executeCell 34. Step 4
14:05:56.435 [trace] Cell Index:34 sent to kernel
14:05:56.438 [trace] Start cell 34 execution @ 1763406356438 (clear output)
14:05:56.438 [debug] Kernel acknowledged execution of cell 34 @ 1763406356438
14:05:57.103 [trace] Cell 34 completed in 0.665s (start: 1763406356438, end: 1763406357103)
14:05:57.103 [trace] Cell 34 executed successfully
14:06:16.094 [debug] Handle Execution of Cells 35 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:16.094 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:16.094 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:16.094 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:16.094 [trace] executeCell 35. Step 4
14:06:16.095 [trace] Cell Index:35 sent to kernel
14:06:16.102 [trace] Start cell 35 execution @ 1763406376102 (clear output)
14:06:16.102 [debug] Kernel acknowledged execution of cell 35 @ 1763406376102
14:06:16.452 [trace] Cell 35 completed in 0.349s (start: 1763406376102, end: 1763406376451)
14:06:16.452 [trace] Cell 35 executed successfully
14:06:17.800 [debug] Handle Execution of Cells 36 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:17.800 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:17.800 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:17.800 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:17.800 [trace] executeCell 36. Step 4
14:06:17.801 [trace] Cell Index:36 sent to kernel
14:06:17.804 [trace] Start cell 36 execution @ 1763406377804 (clear output)
14:06:17.804 [debug] Kernel acknowledged execution of cell 36 @ 1763406377804
14:06:18.231 [trace] Cell 36 completed in 0.427s (start: 1763406377804, end: 1763406378231)
14:06:18.231 [trace] Cell 36 executed successfully
14:06:19.968 [debug] Handle Execution of Cells 37 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:19.969 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:19.969 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:19.969 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:19.969 [trace] executeCell 37. Step 4
14:06:19.970 [trace] Cell Index:37 sent to kernel
14:06:19.974 [trace] Start cell 37 execution @ 1763406379973 (clear output)
14:06:19.974 [debug] Kernel acknowledged execution of cell 37 @ 1763406379973
14:06:19.978 [trace] Cell 37 completed in 0.005s (start: 1763406379973, end: 1763406379978)
14:06:19.978 [trace] Cell 37 executed successfully
14:06:21.241 [debug] Handle Execution of Cells 38 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:21.241 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:21.241 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:21.241 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:21.241 [trace] executeCell 38. Step 4
14:06:21.242 [trace] Cell Index:38 sent to kernel
14:06:21.245 [trace] Start cell 38 execution @ 1763406381245 (clear output)
14:06:21.245 [debug] Kernel acknowledged execution of cell 38 @ 1763406381245
14:06:21.248 [trace] Cell 38 completed in 0.003s (start: 1763406381245, end: 1763406381248)
14:06:21.249 [trace] Cell 38 executed successfully
14:06:23.117 [debug] Handle Execution of Cells 39 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:23.117 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:23.117 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:23.117 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:23.117 [trace] executeCell 39. Step 4
14:06:23.118 [trace] Cell Index:39 sent to kernel
14:06:23.121 [trace] Start cell 39 execution @ 1763406383121 (clear output)
14:06:23.121 [debug] Kernel acknowledged execution of cell 39 @ 1763406383121
14:06:24.142 [trace] Cell 39 completed in 1.02s (start: 1763406383121, end: 1763406384141)
14:06:24.142 [trace] Cell 39 executed successfully
14:06:26.899 [debug] Handle Execution of Cells 40 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:26.900 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:26.900 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:26.900 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:26.900 [trace] executeCell 40. Step 4
14:06:26.900 [trace] Cell Index:40 sent to kernel
14:06:26.906 [trace] Start cell 40 execution @ 1763406386906 (clear output)
14:06:26.906 [debug] Kernel acknowledged execution of cell 40 @ 1763406386906
14:06:26.963 [debug] KernelProcess error 21664: W0000 00:00:1763406386.963053 10248 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
14:06:27.530 [trace] Cell 40 completed in 0.623s (start: 1763406386906, end: 1763406387529)
14:06:27.530 [trace] Cell 40 executed successfully
14:06:29.428 [debug] Handle Execution of Cells 41 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:29.428 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:29.428 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:29.428 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:29.428 [trace] executeCell 41. Step 4
14:06:29.429 [trace] Cell Index:41 sent to kernel
14:06:29.433 [trace] Start cell 41 execution @ 1763406389433 (clear output)
14:06:29.433 [debug] Kernel acknowledged execution of cell 41 @ 1763406389433
14:06:30.454 [trace] Cell 41 completed in 1.021s (start: 1763406389433, end: 1763406390454)
14:06:30.455 [trace] Cell 41 executed successfully
14:06:33.461 [debug] Execution of code ms-toolsai.jupyter-1 completed in 19ms
14:06:33.464 [debug] Jupyter completion time: 23
14:06:40.441 [debug] Execution of code ms-toolsai.jupyter-2 completed in 11ms
14:06:40.441 [debug] Jupyter completion time: 11
14:06:42.396 [debug] Handle Execution of Cells 42 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:42.396 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:42.396 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:42.397 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:42.397 [trace] executeCell 42. Step 4
14:06:42.397 [trace] Cell Index:42 sent to kernel
14:06:42.401 [trace] Start cell 42 execution @ 1763406402401 (clear output)
14:06:42.401 [debug] Kernel acknowledged execution of cell 42 @ 1763406402401
14:06:42.405 [trace] Cell 42 completed in 0.004s (start: 1763406402401, end: 1763406402405)
14:06:42.406 [trace] Cell 42 executed successfully
14:06:45.529 [debug] Execution of code ms-toolsai.jupyter-3 completed in 11ms
14:06:45.530 [debug] Jupyter completion time: 12
14:06:46.981 [debug] Handle Execution of Cells 43 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:46.982 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:46.982 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:46.982 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:46.982 [trace] executeCell 43. Step 4
14:06:46.982 [trace] Cell Index:43 sent to kernel
14:06:46.987 [trace] Start cell 43 execution @ 1763406406987 (clear output)
14:06:46.987 [debug] Kernel acknowledged execution of cell 43 @ 1763406406987
14:06:46.991 [trace] Cell 43 completed in 0.003s (start: 1763406406987, end: 1763406406990)
14:06:46.991 [trace] Cell 43 executed successfully
14:06:58.778 [debug] Handle Execution of Cells 43 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:06:58.779 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:06:58.779 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:06:58.779 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:06:58.779 [trace] executeCell 43. Step 4
14:06:58.779 [trace] Cell Index:43 sent to kernel
14:06:58.783 [trace] Start cell 43 execution @ 1763406418783 (clear output)
14:06:58.783 [debug] Kernel acknowledged execution of cell 43 @ 1763406418783
14:06:58.790 [trace] Cell 43 completed in 0.007s (start: 1763406418783, end: 1763406418790)
14:06:58.790 [trace] Cell 43 executed successfully
14:07:05.888 [debug] Execution of code ms-toolsai.jupyter-4 completed in 13ms
14:07:05.889 [debug] Jupyter completion time: 15
14:07:07.245 [debug] Handle Execution of Cells 43 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:07:07.246 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:07:07.246 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:07:07.246 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:07:07.246 [trace] executeCell 43. Step 4
14:07:07.246 [trace] Cell Index:43 sent to kernel
14:07:07.250 [trace] Start cell 43 execution @ 1763406427250 (clear output)
14:07:07.250 [debug] Kernel acknowledged execution of cell 43 @ 1763406427250
14:07:07.257 [trace] Cell 43 completed in 0.006s (start: 1763406427250, end: 1763406427256)
14:07:07.257 [trace] Cell 43 executed successfully
14:07:25.377 [debug] Jupyter completion time: 12
14:07:25.378 [debug] Execution of code ms-toolsai.jupyter-5 completed in 12ms
14:07:27.171 [debug] Handle Execution of Cells 43 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:07:27.171 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:07:27.171 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:07:27.171 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:07:27.171 [trace] executeCell 43. Step 4
14:07:27.172 [trace] Cell Index:43 sent to kernel
14:07:27.175 [trace] Start cell 43 execution @ 1763406447175 (clear output)
14:07:27.175 [debug] Kernel acknowledged execution of cell 43 @ 1763406447175
14:07:27.180 [trace] Cell 43 completed in 0.005s (start: 1763406447175, end: 1763406447180)
14:07:27.180 [trace] Cell 43 executed successfully
14:07:29.986 [debug] Jupyter completion time: 13
14:07:29.987 [debug] Execution of code ms-toolsai.jupyter-6 completed in 14ms
14:07:32.762 [debug] Jupyter completion time: 13
14:07:32.762 [debug] Execution of code ms-toolsai.jupyter-7 completed in 13ms
14:07:52.802 [debug] Execution of code ms-toolsai.jupyter-8 completed in 19ms
14:07:52.826 [debug] Jupyter completion time: 44
14:07:54.869 [debug] Handle Execution of Cells 44 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
14:07:54.869 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
14:07:54.869 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
14:07:54.869 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
14:07:54.869 [trace] executeCell 44. Step 4
14:07:54.869 [trace] Cell Index:44 sent to kernel
14:07:54.874 [trace] Start cell 44 execution @ 1763406474874 (clear output)
14:07:54.874 [debug] Kernel acknowledged execution of cell 44 @ 1763406474874
14:07:54.879 [trace] Cell 44 completed in 0.005s (start: 1763406474874, end: 1763406474879)
14:07:54.879 [trace] Cell 44 executed successfully
15:03:35.078 [debug] Handle Execution of Cells 42 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
15:03:35.079 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
15:03:35.079 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
15:03:35.079 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
15:03:35.079 [trace] executeCell 42. Step 4
15:03:35.079 [trace] Cell Index:42 sent to kernel
15:03:35.089 [trace] Start cell 42 execution @ 1763409815089 (clear output)
15:03:35.089 [debug] Kernel acknowledged execution of cell 42 @ 1763409815089
15:03:35.095 [trace] Cell 42 completed in 0.006s (start: 1763409815089, end: 1763409815095)
15:03:35.096 [trace] Cell 42 executed successfully
15:04:26.704 [debug] Jupyter completion time: 13
15:04:26.707 [debug] Execution of code ms-toolsai.jupyter-9 completed in 15ms
15:04:26.909 [debug] Execution of code ms-toolsai.jupyter-10 completed in 17ms
15:04:26.912 [debug] Jupyter completion time: 20
15:04:26.918 [trace] Inspecting code plt.AbstractContextManager
15:04:27.012 [debug] Inspected code plt.AbstractContextManager in 94ms
15:04:27.013 [debug] Execution of code ms-toolsai.jupyter-11 completed in 95ms
15:04:27.197 [trace] Inspecting code plt.sys
15:04:27.247 [debug] Inspected code plt.sys in 50ms
15:04:27.250 [debug] Execution of code ms-toolsai.jupyter-12 completed in 53ms
15:04:27.413 [trace] Inspecting code plt.ScalarFormatter
15:04:27.424 [debug] Inspected code plt.ScalarFormatter in 11ms
15:04:27.427 [debug] Execution of code ms-toolsai.jupyter-13 completed in 14ms
15:04:31.625 [debug] Execution of code ms-toolsai.jupyter-14 completed in 11ms
15:04:31.627 [debug] Jupyter completion time: 13
15:04:49.750 [debug] Jupyter completion time: 41
15:04:49.751 [debug] Execution of code ms-toolsai.jupyter-15 completed in 42ms
15:04:53.312 [debug] Handle Execution of Cells 42 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
15:04:53.313 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
15:04:53.313 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
15:04:53.313 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
15:04:53.313 [trace] executeCell 42. Step 4
15:04:53.313 [trace] Cell Index:42 sent to kernel
15:04:53.316 [trace] Start cell 42 execution @ 1763409893316 (clear output)
15:04:53.317 [debug] Kernel acknowledged execution of cell 42 @ 1763409893316
15:04:55.921 [trace] Cell 42 completed in 2.605s (start: 1763409893316, end: 1763409895921)
15:04:55.921 [trace] Cell 42 executed successfully
15:07:45.009 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.012 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.054 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.107 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.128 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.130 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.601 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.627 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.656 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.683 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.778 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.808 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.840 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.866 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.872 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.900 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:45.905 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:45.934 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:52.840 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:52.887 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:07:52.891 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
15:07:52.924 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
15:08:57.525 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:08:57.525 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:08:57.526 [debug] Jupyter completion time: 908
15:08:58.949 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:08:58.949 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:08:58.949 [debug] Jupyter completion time: 1359
15:09:35.149 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.149 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.149 [debug] Jupyter completion time: 718
15:09:35.391 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.391 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.392 [debug] Jupyter completion time: 186
15:09:35.643 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.643 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:35.643 [debug] Jupyter completion time: 195
15:09:37.014 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:37.014 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:37.014 [debug] Jupyter completion time: 1315
15:09:40.348 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:40.348 [debug] Code execution cancelled by extension ms-toolsai.jupyter
15:09:40.348 [debug] Jupyter completion time: 1215
15:09:54.950 [debug] Handle Execution of Cells 43 for ~\Documents\GitHub\handLearning\mediaPipe.ipynb
15:09:54.951 [trace] Execute Notebook ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 1
15:09:54.951 [trace] Connect to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 2
15:09:54.951 [trace] Connected to Kernel ~\Documents\GitHub\handLearning\mediaPipe.ipynb. Step 3
15:09:54.951 [trace] executeCell 43. Step 4
15:09:54.951 [trace] Cell Index:43 sent to kernelCoding Language and Runtime Version
Python 3.12.12
Language Extension Version (if applicable)
2025.18.0
Anaconda Version (if applicable)
conda 25.5.1
Running Jupyter locally or remotely?
Local