Counting the object in the detection

[AJITKUMAR130012]

Can you help me in the counting the object that are in the video by using yolov8 and tracking?

[mgoin]

The simplest way would be to take the output from the object detection pipeline and count the number of boxes that have the class you are interested in.

[AJITKUMAR130012]

When we have to count the from in the video then need tracking, But in the yolo pipeline there is no tracking id. That's the issue, even i run on the video.

[AJITKUMAR130012]

import os
import time
print("Ajit")
st=time.time()
model_path="traffic_best_n.onnx"
output_path="out"
cmd=["deepsparse.yolov8.annotate", "--source", "People2.mp4", "--model_filepath", str(model_path), "--save_dir", output_path]
cmd = ' '.join(cmd)
os.system(cmd)
ed=time.time()
print(ed-st)

I have used the above code for the video