Opencv 4 DNN module- People detection CPU performance with yolo tiny 2 model

Opencv 4 DNN, People detection CPU performance with yolo 2 tiny model
I am still working on a tutorial on how to simply run yolo and others model in opencv 4. I try to do as simple as possible. Not like a general sample in Opencv. Differently, simply, and described as much as possible. 

yolo tiny people detection cpu performance

Some technical specifications video

Testing opencv 4.0 DNN with yolo tiny 2 model on people detection in a mall. Pure CPU, I7 (4 cores), running by the following command under Windows 10. Performance for the CPU without 2 much optimization effort is 500 ms per image approximately on my configuration.  Let me know if there is some problem with the parameters. 
testOpecv.exe --config=C:\darknet-master\cfg\yolov2-tiny.cfg
 --model=C:\darknet-master\weights\yolov2-tiny.weights
 --classes=C:\opencv32\darknet-master\data\coco.names
 --width=616 --height=616 --scale=0.00192 --rgb 





Sources: 
Thank you for a great job
Next Post Previous Post
1 Comments
  • You to view
    You to view September 4, 2019 at 2:25 AM

    บริษัท Modern De รับสร้างบ้านและออกแบบบ้านสไตล์โมเดิร์น ในพื้นที่ภาคอีสานและจังหวัดใกล้เคียง ขอนแก่น รับสร้างบ้าน อุดร มีแบบให้เลือกมากกว่า 50 แบบ ราคาเป็นอันเอง

Add Comment
comment url