ultralytics 8.0.116 NAS, DVC, YOLOv5u updates (#3124)

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

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.115'
+__version__ = '8.0.116'
 
 from ultralytics.hub import start
 from ultralytics.vit.rtdetr import RTDETR

ultralytics/yolo/data/utils.py

@@ -138,7 +138,7 @@ def polygon2mask(imgsz, polygons, color=1, downsample_ratio=1):
     """
     Args:
         imgsz (tuple): The image size.
-        polygons (np.ndarray): [N, M], N is the number of polygons, M is the number of points(Be divided by 2).
+        polygons (list[np.ndarray]): [N, M], N is the number of polygons, M is the number of points(Be divided by 2).
         color (int): color
         downsample_ratio (int): downsample ratio
     """

ultralytics/yolo/utils/__init__.py

@@ -224,6 +224,11 @@ def set_logging(name=LOGGING_NAME, verbose=True):
                 'propagate': False}}})
 
 
+def emojis(string=''):
+    """Return platform-dependent emoji-safe version of string."""
+    return string.encode().decode('ascii', 'ignore') if WINDOWS else string
+
+
 class EmojiFilter(logging.Filter):
     """
     A custom logging filter class for removing emojis in log messages.
@@ -533,6 +538,7 @@ def get_user_config_dir(sub_dir='Ultralytics'):
     # GCP and AWS lambda fix, only /tmp is writeable
     if not is_dir_writeable(str(path.parent)):
         path = Path('/tmp') / sub_dir
+        LOGGER.warning(f"WARNING ⚠️ user config directory is not writeable, defaulting to '{path}'.")
 
     # Create the subdirectory if it does not exist
     path.mkdir(parents=True, exist_ok=True)
@@ -544,11 +550,6 @@ USER_CONFIG_DIR = Path(os.getenv('YOLO_CONFIG_DIR', get_user_config_dir()))  # U
 SETTINGS_YAML = USER_CONFIG_DIR / 'settings.yaml'
 
 
-def emojis(string=''):
-    """Return platform-dependent emoji-safe version of string."""
-    return string.encode().decode('ascii', 'ignore') if WINDOWS else string
-
-
 def colorstr(*input):
     """Colors a string https://en.wikipedia.org/wiki/ANSI_escape_code, i.e.  colorstr('blue', 'hello world')."""
     *args, string = input if len(input) > 1 else ('blue', 'bold', input[0])  # color arguments, string

ultralytics/yolo/utils/benchmarks.py

@@ -90,7 +90,7 @@ def benchmark(model=Path(SETTINGS['weights_dir']) / 'yolov8n.pt',
                 filename = model.ckpt_path or model.cfg
                 export = model  # PyTorch format
             else:
-                filename = model.export(imgsz=imgsz, format=format, half=half, int8=int8, device=device)  # all others
+                filename = model.export(imgsz=imgsz, format=format, half=half, int8=int8, device=device, verbose=False)
                 export = YOLO(filename, task=model.task)
                 assert suffix in str(filename), 'export failed'
             emoji = '❎'  # indicates export succeeded
@@ -196,8 +196,17 @@ class ProfileModels:
                 model.fuse()  # to report correct params and GFLOPs in model.info()
                 model_info = model.info()
                 if self.trt and self.device.type != 'cpu' and not engine_file.is_file():
-                    engine_file = model.export(format='engine', half=True, imgsz=self.imgsz, device=self.device)
-                onnx_file = model.export(format='onnx', half=True, imgsz=self.imgsz, simplify=True, device=self.device)
+                    engine_file = model.export(format='engine',
+                                               half=True,
+                                               imgsz=self.imgsz,
+                                               device=self.device,
+                                               verbose=False)
+                onnx_file = model.export(format='onnx',
+                                         half=True,
+                                         imgsz=self.imgsz,
+                                         simplify=True,
+                                         device=self.device,
+                                         verbose=False)
             elif file.suffix == '.onnx':
                 model_info = self.get_onnx_model_info(file)
                 onnx_file = file
@@ -254,7 +263,7 @@ class ProfileModels:
         for _ in range(3):
             start_time = time.time()
             for _ in range(self.num_warmup_runs):
-                model(input_data, verbose=False)
+                model(input_data, imgsz=self.imgsz, verbose=False)
             elapsed = time.time() - start_time
 
         # Compute number of runs as higher of min_time or num_timed_runs
@@ -263,7 +272,7 @@ class ProfileModels:
         # Timed runs
         run_times = []
         for _ in tqdm(range(num_runs), desc=engine_file):
-            results = model(input_data, verbose=False)
+            results = model(input_data, imgsz=self.imgsz, verbose=False)
             run_times.append(results[0].speed['inference'])  # Convert to milliseconds
 
         run_times = self.iterative_sigma_clipping(np.array(run_times), sigma=2, max_iters=3)  # sigma clipping

ultralytics/yolo/utils/callbacks/dvc.py

@@ -42,7 +42,7 @@ def _log_images(image_path, prefix=''):
 def _log_plots(plots, prefix=''):
     for name, params in plots.items():
         timestamp = params['timestamp']
-        if _processed_plots.get(name, None) != timestamp:
+        if _processed_plots.get(name) != timestamp:
             _log_images(name, prefix)
             _processed_plots[name] = timestamp
 

ultralytics/yolo/utils/checks.py

@@ -19,9 +19,9 @@ import requests
 import torch
 from matplotlib import font_manager
 
-from ultralytics.yolo.utils import (AUTOINSTALL, LOGGER, ONLINE, ROOT, USER_CONFIG_DIR, TryExcept, clean_url, colorstr,
-                                    downloads, emojis, is_colab, is_docker, is_kaggle, is_online, is_pip_package,
-                                    url2file)
+from ultralytics.yolo.utils import (AUTOINSTALL, LOGGER, ONLINE, RANK, ROOT, USER_CONFIG_DIR, TryExcept, clean_url,
+                                    colorstr, downloads, emojis, is_colab, is_docker, is_kaggle, is_online,
+                                    is_pip_package, url2file)
 
 
 def is_ascii(s) -> bool:
@@ -164,23 +164,26 @@ def check_font(font='Arial.ttf'):
     Returns:
         file (Path): Resolved font file path.
     """
-    name = Path(font).name
+    from ultralytics.yolo.utils.torch_utils import torch_distributed_zero_first
 
-    # Check USER_CONFIG_DIR
-    file = USER_CONFIG_DIR / name
-    if file.exists():
-        return file
+    with torch_distributed_zero_first(RANK):
+        name = Path(font).name
 
-    # Check system fonts
-    matches = [s for s in font_manager.findSystemFonts() if font in s]
-    if any(matches):
-        return matches[0]
+        # Check USER_CONFIG_DIR
+        file = USER_CONFIG_DIR / name
+        if file.exists():
+            return file
 
-    # Download to USER_CONFIG_DIR if missing
-    url = f'https://ultralytics.com/assets/{name}'
-    if downloads.is_url(url):
-        downloads.safe_download(url=url, file=file)
-        return file
+        # Check system fonts
+        matches = [s for s in font_manager.findSystemFonts() if font in s]
+        if any(matches):
+            return matches[0]
+
+        # Download to USER_CONFIG_DIR if missing
+        url = f'https://ultralytics.com/assets/{name}'
+        if downloads.is_url(url):
+            downloads.safe_download(url=url, file=file)
+            return file
 
 
 def check_python(minimum: str = '3.7.0') -> bool: