Create conda environment:
$ conda create -n yolo python=3.8 -y

Activate environment:
$ conda activate yolo

Download repo and install dependencies:

$ git clone && cd YOLOv6
$ pip install -r requirements.txt

Download a pretrained model from the YOLOv6 release

Create new directory for frames:
$ mkdir input/

Split video to frames:
ffmpeg -i stepup.mp4 input/stepup_%04d.png

Start to dedect objects in frames:
python tools/ --weights --source input/

Images to video:
$ ffmpeg -r 23.98 -s 1920x800 -f image2 -start_number 1 -i runs/inference/exp/stepup_%04d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p stepup_2.mp4

Get audio from video:
$ ffmpeg -i stepup.mp4 stepup.aac

Copy original audio to new video:
$ ffmpeg -i stepup_2.mp4 -i stepup.aac -codec copy -shortest stepup_audio.mp4