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

utils/loggers/__init__.py

@@ -47,6 +47,7 @@ def __init__(self, save_dir=None, weights=None, opt=None, hyp=None, logger=None,
                      '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 @@ def on_fit_epoch_end(self, vals, epoch, best_fitness, fi):
                 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)