For review: YOLO component #1009
Replies: 6 comments 19 replies
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Update: I have now addressed this by creating a new branch and deleting the old one. The link above has been changed to reflect this. Original post: I attempted to get updates to the dev branch into my fork and seemed to have messed things up with the git "sync". It looks good on my local machine. Still trying to confirm things are wrong and will make changes from there. |
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Thank you! Will take a look sometime during the week
Its totally fine to use Ultralytics directly.
Might be better to provide instructions where to download the models. Right now the darknet/edgetpu models are baked into the container, but that creates a lot of bloat for users who dont use those detectors. Some way to download them on-demand would be ideal but im not sure how that would work without hosting the models myself.
When you run it the first time it should detect what domains that you setup. It wont change the file if it already exists tho. You can manually add tags to it, |
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I will update the instructions with more detail on model download and installation. Thanks for the info on |
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Documentation has been updated to include more detail on locating and downloading YOLO models. |
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Looked through the code and i think it looks good! |
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Thanks for all your assistance with this. The code is now in dev. |
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Per this discussion, I have done a first pass at a YOLO component for Viseron.
Very little testing has been done with the component.. The idea is to get some feedback and if it is worth pursuing make it more robust.
Things to note:
gen_docs
script but it does not appear to have filled in everything correctly. For example,_meta.tsx
tags
array. The docs indicate it should be populated with the tags from the component if they are defined in the component. I do not know where that is defined.The docs have been updated to reflect how to use pre-trained models.
Link to branch
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