Fix model re-fuse() in inference loops (#466)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>

ultralytics/yolo/cli.py

@@ -1,7 +1,9 @@
 # Ultralytics YOLO 🚀, GPL-3.0 license
 
 import argparse
+import re
 import shutil
+import sys
 from pathlib import Path
 
 from ultralytics import __version__, yolo
@@ -17,7 +19,7 @@ CLI_HELP_MSG = \
 
         pip install ultralytics
 
-    2. Train, Val, Predict and Export using 'yolo' commands of the form:
+    2. Train, Val, Predict and Export using 'yolo' commands:
 
             yolo TASK MODE ARGS
 
@@ -97,9 +99,14 @@ def entrypoint():
     It uses the package's default config and initializes it using the passed overrides.
     Then it calls the CLI function with the composed config
     """
+    if len(sys.argv) == 1:  # no arguments passed
+        LOGGER.info(CLI_HELP_MSG)
+        return
+
     parser = argparse.ArgumentParser(description='YOLO parser')
     parser.add_argument('args', type=str, nargs='+', help='YOLO args')
     args = parser.parse_args().args
+    args = re.sub(r'\s*=\s*', '=', ' '.join(args)).split(' ')  # remove whitespaces around = sign
 
     tasks = 'detect', 'segment', 'classify'
     modes = 'train', 'val', 'predict', 'export'