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Log best results (#6085) 

* log best result in summary

* comment added

* add space for `flake8`

* log `best/epoch`

* fix `dimension` for epoch

ValueError: all the input arrays must have same number of dimensions

* log `best/` in `utils.logger.__init__`

* fix pre-commit

1. missing whitespace around operator
2.  over-indented
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Awsaf 2021-12-31 03:47:53 +06:00 committed by GitHub
parent 9155eb8641
commit 7b6938d5b5
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5
utils/loggers/__init__.py
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@ -47,6 +47,7 @@ class Loggers():
'metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95', # metrics
'val/box_loss', 'val/obj_loss', 'val/cls_loss', # val loss
'x/lr0', 'x/lr1', 'x/lr2'] # params
self.best_keys = ['best/epoch', 'best/precision', 'best/recall', 'best/mAP_0.5', 'best/mAP_0.5:0.95',]
for k in LOGGERS:
setattr(self, k, None) # init empty logger dictionary
self.csv = True # always log to csv
@ -125,6 +126,10 @@ class Loggers():
self.tb.add_scalar(k, v, epoch)
if self.wandb:
if best_fitness == fi:
best_results = [epoch] + vals[3:7]
for i, name in enumerate(self.best_keys):
self.wandb.wandb_run.summary[name] = best_results[i] # log best results in the summary
self.wandb.log(x)
self.wandb.end_epoch(best_result=best_fitness == fi)