Kernel dies when using footprint_mask() function

I've been trying to play the notebook on my PC and after solving some import issues I got to a point where I don't know what to do.
It turns out that when running the following line:

mask = sol.vector.mask.footprint_mask(bldg_path, reference_im=img_path)

the kernel dies and only returns the following logs:

error 13:15:58.804: Error in execution [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}
error 13:15:58.804: Error in execution (get message for cell) [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}
error 13:26:44.731: Error in execution [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}
error 13:26:44.731: Error in execution (get message for cell) [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}
error 14:07:49.527: Error in execution [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}
error 14:07:49.537: Error in execution (get message for cell) [s [Error]: The kernel 'AWS-env (Python 3.8.15)' died. Click [here](https://aka.ms/vscodeJupyterKernelCrash) for more info. View Jupyter [log](command:jupyter.viewOutput) for further details.
at D.verifyKernelState (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2325307)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async x.executeCell (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2405345)
at async Promise.all (index 0)
at async x.handleExecution (c:\Users\SIG01\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003412109\out\extension.node.js:2:2401348)] {
category: 'unknown',
originalException: undefined,
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\SIG01\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003412109\\temp\\jupyter\\kernels\\pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752\\kernel.json',
interpreterPath: 'c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'AWS-env',
metadata: [Object],
env: {}
},
interpreter: {
id: 'C:\\PROGRAMDATA\\ANACONDA3\\ENVS\\AWS-ENV\\PYTHON.EXE',
sysPrefix: 'C:\\ProgramData\\Anaconda3\\envs\\AWS-env',
envPath: [d],
displayPath: [Object],
envName: 'AWS-env',
displayName: 'AWS-env',
envType: 'Conda',
version: [Object],
uri: [d]
},
id: '.jvsc74a57bd0ab17229d7ef8a2352d74e9197be096b048eb467d2bea9d39c6e4962fb2706752.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.c:\\ProgramData\\Anaconda3\\envs\\AWS-env\\python.exe.-m#ipykernel_launcher'
}
}

Is there any chance that someone can help me in telling me what to do in this case?

Start by reproducing the crash in the notebook at the footprint_mask(bldg_path, reference_im=img_path) call, using the reported Python 3.8.15 Anaconda environment. Inspect the Jupyter and kernel logs for a cause beyond the VS Code kernel-died message. Done means the call runs successfully or the incompatibility and supported environment are clearly identified.

Written by the indexing model from the issue text.