ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>

ultralytics/yolo/utils/metrics.py

@@ -321,18 +321,17 @@ class ConfusionMatrix:
         ticklabels = (list(names) + ['background']) if labels else 'auto'
         with warnings.catch_warnings():
             warnings.simplefilter('ignore')  # suppress empty matrix RuntimeWarning: All-NaN slice encountered
-            sn.heatmap(
-                array,
-                ax=ax,
-                annot=nc < 30,
-                annot_kws={
-                    'size': 8},
-                cmap='Blues',
-                fmt='.2f' if normalize else '%d',  # float if normalize else integer
-                square=True,
-                vmin=0.0,
-                xticklabels=ticklabels,
-                yticklabels=ticklabels).set_facecolor((1, 1, 1))
+            sn.heatmap(array,
+                       ax=ax,
+                       annot=nc < 30,
+                       annot_kws={
+                           'size': 8},
+                       cmap='Blues',
+                       fmt='.2f' if normalize else '.0f',
+                       square=True,
+                       vmin=0.0,
+                       xticklabels=ticklabels,
+                       yticklabels=ticklabels).set_facecolor((1, 1, 1))
         title = 'Confusion Matrix' + ' Normalized' * normalize
         ax.set_xlabel('True')
         ax.set_ylabel('Predicted')