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Multiple Images or Cameras #32
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If I understood your question, you should add your own frame reading logic to the readme example, like so:
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Multi-object tracking algorithms like DeepSORT here works within the context of one camera view. You may independently run an instance of DeepSORT for each of your cameras, that is up to your implementation. If you want to track across different cameras, then that's another task -- you may want to check out person re-identification algorithms and build your own re-id engine. |
Thanks, so if I use weights from person re-id and use DeepSORT it's actually not working, am I right? |
Sorry if my question it's not clear enough. I mean another camera view, not just a single camera. If using this, it's not working in multiple camera views. |
If you're using person re-id appearance embedder for your deepsort tracking, then I think it should be reasonable for you to to re-use these features from each track for re-identification across different cameras. But do note that in this repo, we use a light re-id network for appearance embedding by design. For person re-id across cameras, people may want to use deeper re-id networks for better discriminative ability. End of the day, it's up to your design considerations. |
Thank's for your answers. It's clear to me. I hope you have a great day. |
Hello, I have questions about, How to implement deep sort with multiple images or cameras with different views? Because the readme doesn't have a configuration for multiple images or cameras with different views, just only single images or cameras. Thanks
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