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

Log best results (#6085)
7b6938d5 · Awsaf · GitHub · 9155eb86 · 7b6938d5
--- a/utils/loggers/__init__.py
+++ b/utils/loggers/__init__.py
@@ -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)