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@haimat the most frequent callback is probably on_batch_end, so you might put a listener there. |
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I would like to control YOLOv5 training from another process (i.e. a custom training GUI), so I am playing with the
utils.callbacks.Callbacks
class utilized intrain.py
. I know that one can get infos on training status and progress via that callback class, however, is there also a way to stop the training process before all epochs are done?If the
Callbacks
class is not what I am looking for in this context, what other approach should I follow to stop training from another process? I would rather not send aSIGKILL
signal to the training process ...Beta Was this translation helpful? Give feedback.
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