George Pearse

This is what using the fdet-api looks like for me at the minute ```python thresholds = [] thresholds_dict = {} f1_score_dict = {} for counter, class_name in enumerate(annotation_class_names): ( class_name,...

From a look through the metric functionality already implemented it looks like it wouldn't be too painful to add in. The object that comes out of this looks like it's...

Tried the above but think the cost of loading the model was large enough to neglect the performance gain of not training from scratch.

@kkkkahlua sorry I believe you're mistaken. It works out-of-the-box on the multi-class case, e.g. MNist but not the multi-label case e.g. object detection. Please correct me again if I'm mistaken...

Hey @kopyl with the first. The model would still likely score more highly for 'human ear' than 'cat ear', and you can process that with something like NMS. For the...

@SlongLiu should the operations in the model already support ONNX export? e.g. code vaguely similar to the below should work? ``` # Export the model torch.onnx.export](https://pytorch.org/docs/stable/onnx.html#torch.onnx.export)(torch_model, # model being run...

Bump, would also be a fan of this, both Aim and WnB include it.

@dmatrix almost every alternative to MLFlow includes it, so it seems very much within the potential "scope of functionality" . Live logs are useful, even if MLFlow does not manage,...

I also get: none, none, as the values for name, authentication_status, username when. I try to login. Just following the demo, but in a muilt-page app.

For me the problem was just that I hadn't yet hashed the password in the config file (but had the original string forms). I assumed that this would just give...