Alan Bi
Alan Bi
You have to pass in a validation dataset/loader as the second argument to `model.fit` (or the keyword argument `val_dataset`) in order for it to return a list of losses. So...
That likely means the model wasn't trained well enough in order to detect any objects. You could try printing or plotting the returned list of losses (if you have a...
Currently this is not possible to do with Detecto - I'd recommend looking into PyTorch if you wanted to do something like this.
Could you clarify the code or situation in which this happens? If you're using the `core.Dataset` class I think it should have been fixed in PR #62 and release [v1.2.0](https://github.com/alankbi/detecto/releases/tag/v1.2.0)
Hi! There have been a few people who've also run into issues with getting Detecto/PyTorch to work on a Raspberry Pi, so unfortunately it doesn't look like Detecto is the...
I would guess most likely there's an issue with the XML file or image file for that specific index. Could you double-check that everything matches correctly for that index?
It should be able to barring any unforeseen bugs - if you're coming across any issues feel free to let me know
Could you share the code and full output that results in this error?
Suggestion noted. In the meantime, a workaround could be to copy and modify the source code for the `fit` method to return both the training and validation losses.
@cagbal just want to confirm: have you been using the `verbose=True` flag when training?