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/__init__.py

@@ -8,7 +8,6 @@ import platform
 import re
 import subprocess
 import sys
-import tempfile
 import threading
 import urllib
 import uuid
@@ -414,12 +413,7 @@ def is_dir_writeable(dir_path: Union[str, Path]) -> bool:
     Returns:
         bool: True if the directory is writeable, False otherwise.
     """
-    try:
-        with tempfile.TemporaryFile(dir=dir_path):
-            pass
-        return True
-    except OSError:
-        return False
+    return os.access(str(dir_path), os.W_OK)
 
 
 def is_pytest_running():

ultralytics/yolo/utils/files.py

@@ -49,7 +49,7 @@ def increment_path(path, exist_ok=False, sep='', mkdir=False):
 
         # Method 1
         for n in range(2, 9999):
-            p = f'{path}{sep}{n}{suffix}'  # increment path
+            p = f'{path}{sep}{str(n).zfill(4)}{suffix}'  # increment path
             if not os.path.exists(p):  #
                 break
         path = Path(p)

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')