Pycocotools best.pt after COCO train (#1616)

* Pycocotools best.pt after COCO train

* cleanup

test.py

@@ -1,5 +1,4 @@
 import argparse
-import glob
 import json
 import os
 from pathlib import Path
@@ -246,7 +245,7 @@ def test(data,
     # Save JSON
     if save_json and len(jdict):
         w = Path(weights[0] if isinstance(weights, list) else weights).stem if weights is not None else ''  # weights
-        anno_json = glob.glob('../coco/annotations/instances_val*.json')[0]  # annotations json
+        anno_json = '../coco/annotations/instances_val2017.json'  # annotations json
         pred_json = str(save_dir / f"{w}_predictions.json")  # predictions json
         print('\nEvaluating pycocotools mAP... saving %s...' % pred_json)
         with open(pred_json, 'w') as f:
@@ -266,7 +265,7 @@ def test(data,
             eval.summarize()
             map, map50 = eval.stats[:2]  # update results (mAP@0.5:0.95, mAP@0.5)
         except Exception as e:
-            print('ERROR: pycocotools unable to run: %s' % e)
+            print(f'pycocotools unable to run: {e}')
 
     # Return results
     if not training: