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Improve show methods #511
Improve show methods #511
Conversation
…emove old show function
…/scheduler/etc, refactoring train_core, update metrics dict and show_metrics functions
I really like this PR, @rwood-97. Haven't had time/been able to test run it yet. Do you need me to do that? |
@kallewesterling I've updated the docs and two of the worked examples. Maybe if you have time an ideal thing would be to use the docs to write an example of Let me know what you have time for and I could potentially get @thobson88 or @kmcdono2 to check it. |
Sorry for the late response! I'll check it out and will test run things. I'll also use the docs to write an example of the |
A few things:
|
Otherwise, looking good! |
@rwood-97 Where in the docs do you think we should add the parts about these methods? As a new section under the post-processing step? |
Re. docs, I've added them in the I think the two issues in the worked examples are actually okay, I'm just working on moving these over to the |
Oh, I see now that you've already added the methods to the documentation. Can you let me know what you need me to do with the docs, then, @rwood-97 ? |
I think just have a quick look and check it makes sense would be ideal, otherwise I think this is good to merge |
Wiho!! MERGED!! |
Summary
Currently we have some very basic "show" methods for veiwing results. This is good for a quick look but would be better if we had some more advanced tools for visualising our results as part of the MapReader library.
Fixes #341
Address #478 - removed the utils.py file from annotate
Describe your changes
images.py
,runner_base.py
andrec_runner_base.py
and addsexplore_xx
methods in each of these classes. Explore uses geopandas explore to create an interactive visualisation of results.check_georeferencing
method ot the runners as this is needed to ensure we can convert to geo coords and therefore use the explore methods.infer_coords_from_patches
method in images.py which uses patches to infer parent coords. This is for e.g. if you have loaded patches via theload_patches
method and only added patch metadata (e.g. predictions).classifier.py
- now instead oftrain_loss_epoch
andtrain_fscore_epoch
as the key for a dict, we have nested dict with keys oftrain
,val
, etc and then within that keys ofloss
,fscore
etc.plot_metrics
method, users now pass a list of metrics to plot (e.g. "loss", "fscore_micro", etc) and it will plot by default all phases. Can tell it just to plot for one phase by passing thephases
argument.Using the
show_patches
method:Using the
explore_patches
method:Using
explore_predictions
method (i.e. the equivalent toexplore_patches
but for text spotting):Checklist before assigning a reviewer (update as needed)
Reviewer checklist
Please add anything you want reviewers to specifically focus/comment on.