Yolov5 advanced nine target tracking example 1

On the basis of the previous , We can make a system to remind people not to wear masks and make statistics .deepsort3.0+ yolov5.0 Download after installation yolov56.0 Training weight file mask_best.pt Two categories face（ Without a mask ）,mask（ Wear a mask ）.https://download.csdn.net/download/buaaweibin/85802968
Enter the first yolov5 Folder test yolo Environmental Science
perform

python detect.py --source 0

It can normally detect whether to wear a mask
Get into Yolov5_StrongSORT_OSNet-3.0 Folder . perform

python track.py

Will download the latest pt file （ If not downloaded ）, Press Advanced eight to correct , Can be in yolov5 5.0 It runs under . hold mask_best.pt Put it in olov5_StrongSORT_OSNet-3.0 Catalog , Execute in this directory

python track.py --source 0 --yolo_weights yolov5n.pt --show-vid

This only identifies yolo5n pt Of the 0 class That is to say person
–show-vid It's to show . If you need to save the video Finally, add –save-vid
Retest

python track.py --source 0 --yolo_weights mask_best.pt --classes 0 --show-vid

If input 1 Then track those wearing masks , If input 0 Space 1 Wear a mask or not , Specific statistical output 、 Screenshots 、 Sound output is not listed here for the time being , The following examples will further explain .