deeplabcut.create_labeled_video_3d(config_path, ['/content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest'], start=0, end=157,videotype = '.mp4')
but I got this:
Analyzing all the videos in the directory
[['/content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest/handtest1_DLC_3D.h5', '/content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest/handtest1-camera-1.mp4', '/content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest/handtest1-camera-2.mp4']]
Creating 3D video from handtest1-camera-1.mp4 and handtest1-camera-2.mp4 using handtest1_DLC_3D.h5
Looking for filtered predictions...
Found the following filtered data:  /content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest/*handtest1-camera-1DLC_resnet50_handtest1Apr14shuffle1_8000*filtered.h5 /content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest/*handtest1-camera-2DLC_resnet50_handtest1.1Apr14shuffle1_10500*filtered.h5
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
[<ipython-input-8-9a76379fb8de>](https://localhost:8080/#) in <cell line: 1>()
----> 1 deeplabcut.create_labeled_video_3d(config_path, ['/content/drive/MyDrive/testing3d-DLC-2023-04-14-3d/videofoldertest'], start=0, end=157,videotype = '.mp4')

[/usr/local/lib/python3.9/dist-packages/deeplabcut/pose_estimation_3d/plotting3D.py](https://localhost:8080/#) in create_labeled_video_3d(config, path, videofolder, start, end, trailpoints, videotype, view, xlim, ylim, zlim, draw_skeleton, color_by, figsize, fps, dpi)
    273             visible1 = xy1[..., 2] >= pcutoff
    274             xy1[~visible1] = np.nan
--> 275             xy2 = df_cam2.loc[:, mask2d].to_numpy().reshape((len(df_cam1), -1, 3))
    276             visible2 = xy2[..., 2] >= pcutoff
    277             xy2[~visible2] = np.nan

ValueError: cannot reshape array of size 2826 into shape (161,newaxis,3)