I am relatively new to Deeplabcut and am just learning the ropes. I came across the COLAB_DLC_ModelZoo to try out a few videos of mine. That so far also works quite well. However I have a few questions concerning the method: deeplabcut.DownSampleVideo(video_path, width=300)
1st question: Why does this function make my result better? (Had recorded video with iPhone)
I can understand that analyzing is much faster since you need less pixels. However, not sure why the downsampled video gets a top result while the non-downsampled video assigns points very poorly.
2nd question: Why does the downsampled video change format?
The videos I have downsampled have the same format after downsampling, but after analyzing the video, the format has widened, so the image has distorted. This is not the case with the non-sampled ones.
Thank you in advance.