python main.py  --video-input testVideo.mp4

--video-input  <value>              // input video name (default: testVideo.mp4)
--framework  <value>                // framework to use (TF_POSE or OP_POSE) (default: OP_POSE)
--model-name  <value>               // trained model name from neural network (default: defaultModel.keras)
--save-train-image                  // save frames for neural network training
--save-train-image-path  <value>    // path for saving train image
--op-dataset  <value>               // MPI or COCO (default: COCO)
--init-frame  <value>               // starting frame of video (default: 0)
--record-video                      // if proceeded video should be saved to filesystem 
--record-video-name  <value>        // name for saved video (default 'output.mp4')
--record-video-fps  <value>         // what FPS should be used for saved video (default: 30)
--show-native-output                // if default format from framework should be shown
--resolution-height   <value>       // resolution height for videos (default: 800)
--no-final-statistics               // disable final stats
--no-continuos-statistics           // disable continous stats
--no-image-print-statistics         // disable printing  stats directly to the image
--no-head-orientation-detection     // disable head orientation detection
--no-head-orientation-limit         // disable head orientation helper lines for allowed range
--no-seat-belt-detection            // not used 
--no-body-detection                 // disable pose detection
--no-showing-output                 // disable showing images during processing
--no-nn-filtering                   // if results of neural network should not be filtered (worse accuracy)

python train_nn.py

--model-name  <value>               // trained model name from neural network (default: defaultModel.keras)
--path  <value>                     // path to folder, which contains training images (default: './program/train_nn/')
--epochs  <value>                   // number of training epochs (default: 12)