Hi guys, I love using jetson inference for my projects and I found ped-100 and multiped-500 to be very effective at detecting persons at a distance. However, they detect trees, chairs, etc as a person, and does not matter how high I set the threshold .5 .8 .99 they keep misinterpreting the shapes. This does not happen with mobile net or others. What can I do?
You can try the other models that trained on a larger database for a better accuracy:
I see, thanks. Is it possible to run 2 objecet detection models or one object detection and one image recognition model in the same python script?
@cespedesk yes you can do that, however when you run
net.Detect() you want to use the
overlay='none' parameter because otherwise it will draw the bounding boxes on the image which could impact the processing of the other models on the same image. Or you can make a copy of the image first.
Also, for multiple model pipelines, you may want to check out DeepStream SDK for optimized performance.
Thanks, very helpful.