YOLO-utility

To save the labelled annotative video

Imagine, what if we want to look at the Object-tracked video at a later time and not at the time at which it is recorded.

Instead of relying on DARKNET framework(which does not have this functionality to save the annotative video), this is a custom application in python , that doesn't make use of DARKNET at all, to save the labelled annotative video to look at it in a future time.

So, using the cfg configuration files for the models and their pretrained weights, the pyrhon script is written , to output the model predictions, annotate and save them in the disk.

Utility script contains functions to draw boundary box rectangles and labels on images, given that there is a detection event.

Terminal Commands

python yolo.py -w=yolov3-tiny.weights cfg=cfg/yolov3-tiny.cfg -v="Video File" -l-data/coco.names

We will need the weights and the cfg folder of the YOLO system, installed .

We, will find the file stored in the path in which we are working.