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[deleted] OP t1_j8s8e0x wrote

Sorry for the ignorance but wdym by darknet here? All I was planning is to use tensorflow's keras, as tf.js won't make it I think. I started a week ago so I am still digesting things.

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PaleontologistDue620 t1_j8s9y0j wrote

you can train yolo on any framework you want and convert the weights later, then load them into your preferred inference framework. ( I'm not sure about js but in python you can load yolo models into opencv as well ). darknet is the original yolo framework which gives you scripts for training the model.

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[deleted] OP t1_j8sdmmp wrote

Oh, that helps. I am not sure how true this is though. For example, TF.Keras and TF.SavedModel cant be converted into one another and have different features..Both can be used to predict but only one can be re trained and "tweaked" or extended from JS itself. And I am not sure you can convert Pytorch weights to Keras, but I will investigate. Apparently there is ONX that can be used to do it. I just dont want to train something that can not be converted and loaded into a browser.

What I learnt so far is that Sliding Window, Region of Interest, and Yolo are more like ways to prepare your data, and mostly any CNN could do the job, with more or less precision, I may be wrong. I am following this series https://www.youtube.com/watch?v=XXYG5ZWtjj0&list=PLhhyoLH6Ijfw0TpCTVTNk42NN08H6UvNq&index=2&ab_channel=AladdinPersson

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