no problem! We anticipated this there is a function called
By default the output poses (when running analyze_videos) are stored as MultiIndex Pandas Array, which contains the name of the network, body part name, (x, y) label position
in pixels, and the likelihood for each frame per body part. These arrays are stored in an efficient Hierarchical Data Format (HDF)
in the same directory, where the video is stored. If the flag save_as_csv is set to True, the data is also exported as comma-separated value file. However,
if the flag was *not* set, then this function allows the conversion of all h5 files to csv files (without having to analyze the videos again)!
This functions converts hdf (h5) files to the comma-separated values format (.csv), which in turn can be imported in many programs, such as MATLAB, R, Prism, etc.
videopath : string
A strings containing the full paths to videos for analysis or a path to the directory where all the videos with same extension are stored.
videotype: string, optional
Checks for the extension of the video in case the input to the video is a directory.
Only videos with this extension are analyzed. The default is ``.avi``
Converts all pose-output files belonging to mp4 videos in the folder '/media/alex/experimentaldata/cheetahvideos' to csv files.