I am trying to use your model in a custom system to do inference on new frames against a gallery of images already seen. I'm having a little bit of trouble deciphering your code and its interdependencies and was hoping you could enlighten me how I could use your model for running such inference.
I was able to build a system that simple takes any video, gets the bounding boxes of people per frame, pass this information to OnlineTracker.update() and display the tracking results. But the new system I wish to build requires different tracker logic and so I need a way of interfacing with the inferencing of your model, so that I can simply get bounding boxes of a new image and compute the similarity of those rois with any other image or image gallery.
Is there any way you can help me accelerate this process? Thanks.
Hi @longcw,
I am trying to use your model in a custom system to do inference on new frames against a gallery of images already seen. I'm having a little bit of trouble deciphering your code and its interdependencies and was hoping you could enlighten me how I could use your model for running such inference.
I was able to build a system that simple takes any video, gets the bounding boxes of people per frame, pass this information to
OnlineTracker.update()
and display the tracking results. But the new system I wish to build requires different tracker logic and so I need a way of interfacing with the inferencing of your model, so that I can simply get bounding boxes of a new image and compute the similarity of those rois with any other image or image gallery.Is there any way you can help me accelerate this process? Thanks.