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Hi Lucas,

I was just trying to run deepof on my fear condititioning trial video and it seems the DeepOF starts to complain that the arena can not be detected. Is there maybe an easy fix to even by pass the whole arena detection and still be able to get some of the parameters out that are not relying on the arena size?

It looks the following: import deepof import deepof.data

my_project_JB07 = deepof.data.Project(path=r'C:\Users\joeri_bordes\Desktop\DeeplabCut_project_Bordes\JB011_FC_training\TRIAL\JB07_DLC_output', smooth_alpha=1, arena_dims=380)

my_project_JB07 = my_project_JB07.run(verbose=True)

Then the output looks like this: Loading trajectories... Smoothing trajectories... Interpolating outliers... Iterative imputation of ocluded bodyparts...

And the it breaks: error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-kh7iq4w7\opencv\modules\imgproc\src\shapedescr.cpp:360: error: (-201:Incorrect size of input array) There should be at least 5 points to fit the ellipse in function 'cv::fitEllipseNoDirect'