Ultralytics Refactor https://ultralytics.com/actions (#17701)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

README.md

@@ -8,7 +8,7 @@
 
 <div>
     <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a>
-    <a href="https://www.pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
+    <a href="https://pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
     <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="Ultralytics YOLO Citation"></a>
     <a href="https://discord.com/invite/ultralytics"><img alt="Ultralytics Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a>
     <a href="https://community.ultralytics.com/"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a>

README.zh-CN.md

@@ -8,7 +8,7 @@
 
 <div>
     <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a>
-    <a href="https://www.pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
+    <a href="https://pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
     <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="Ultralytics YOLO Citation"></a>
     <a href="https://discord.com/invite/ultralytics"><img alt="Ultralytics Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a>
     <a href="https://community.ultralytics.com/"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a>

docs/en/hub/models.md

@@ -66,7 +66,7 @@ In this step, you have to choose the project in which you want to create your mo
 
 !!! info
 
-    You can read more about the available [YOLO models](https://docs.ultralytics.com/models) and architectures in our documentation.
+    You can read more about the available [YOLO models](https://docs.ultralytics.com/models/) and architectures in our documentation.
 
 By default, your model will use a pre-trained model (trained on the [COCO](https://docs.ultralytics.com/datasets/detect/coco/) dataset) to reduce training time. You can change this behavior and tweak your model's configuration by opening the **Advanced Model Configuration** accordion.
 

docs/en/index.md

@@ -20,7 +20,7 @@ keywords: Ultralytics, YOLO, YOLO11, object detection, image segmentation, deep
 <br>
 <br>
     <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a>
-    <a href="https://www.pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
+    <a href="https://pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a>
     <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="Ultralytics YOLO Citation"></a>
     <a href="https://discord.com/invite/ultralytics"><img alt="Ultralytics Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a>
     <a href="https://community.ultralytics.com/"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a>

docs/overrides/javascript/extra.js

@@ -30,7 +30,9 @@ checkAutoTheme();
 document.addEventListener("DOMContentLoaded", () => {
   const autoThemeInput = document.getElementById("__palette_1");
   autoThemeInput?.addEventListener("click", () => {
-    if (autoThemeInput.checked) setTimeout(checkAutoTheme);
+    if (autoThemeInput.checked) {
+      setTimeout(checkAutoTheme);
+    }
   });
 });
 

ultralytics/nn/tasks.py

@@ -960,10 +960,8 @@ def parse_model(d, ch, verbose=True):  # model_dict, input_channels(3)
         m = getattr(torch.nn, m[3:]) if "nn." in m else globals()[m]  # get module
         for j, a in enumerate(args):
             if isinstance(a, str):
-                try:
+                with contextlib.suppress(ValueError):
                     args[j] = locals()[a] if a in locals() else ast.literal_eval(a)
-                except ValueError:
-                    pass
         n = n_ = max(round(n * depth), 1) if n > 1 else n  # depth gain
         if m in {
             Classify,
@@ -1141,24 +1139,16 @@ def guess_model_task(model):
 
     # Guess from model cfg
     if isinstance(model, dict):
-        try:
+        with contextlib.suppress(Exception):
             return cfg2task(model)
-        except Exception:
-            pass
-
     # Guess from PyTorch model
     if isinstance(model, nn.Module):  # PyTorch model
         for x in "model.args", "model.model.args", "model.model.model.args":
-            try:
+            with contextlib.suppress(Exception):
                 return eval(x)["task"]
-            except Exception:
-                pass
         for x in "model.yaml", "model.model.yaml", "model.model.model.yaml":
-            try:
+            with contextlib.suppress(Exception):
                 return cfg2task(eval(x))
-            except Exception:
-                pass
-
         for m in model.modules():
             if isinstance(m, Segment):
                 return "segment"

ultralytics/solutions/object_counter.py

@@ -80,9 +80,8 @@ class ObjectCounter(BaseSolution):
                     else:  # Moving left
                         self.out_count += 1
                         self.classwise_counts[self.names[cls]]["OUT"] += 1
-                else:
                 # Horizontal region: Compare y-coordinates to determine direction
-                    if current_centroid[1] > prev_position[1]:  # Moving downward
+                elif current_centroid[1] > prev_position[1]:  # Moving downward
                     self.in_count += 1
                     self.classwise_counts[self.names[cls]]["IN"] += 1
                 else:  # Moving upward
@@ -94,23 +93,20 @@ class ObjectCounter(BaseSolution):
             polygon = self.Polygon(self.region)
             if polygon.contains(self.Point(current_centroid)):
                 # Determine motion direction for vertical or horizontal polygons
-                region_width = max([p[0] for p in self.region]) - min([p[0] for p in self.region])
+                region_width = max(p[0] for p in self.region) - min(p[0] for p in self.region)
-                region_height = max([p[1] for p in self.region]) - min([p[1] for p in self.region])
+                region_height = max(p[1] for p in self.region) - min(p[1] for p in self.region)
 
-                if region_width < region_height:  # Vertical-oriented polygon
+                if (
-                    if current_centroid[0] > prev_position[0]:  # Moving right
+                    region_width < region_height
+                    and current_centroid[0] > prev_position[0]
+                    or region_width >= region_height
+                    and current_centroid[1] > prev_position[1]
+                ):  # Moving right
                     self.in_count += 1
                     self.classwise_counts[self.names[cls]]["IN"] += 1
                 else:  # Moving left
                     self.out_count += 1
                     self.classwise_counts[self.names[cls]]["OUT"] += 1
-                else:  # Horizontal-oriented polygon
-                    if current_centroid[1] > prev_position[1]:  # Moving downward
-                        self.in_count += 1
-                        self.classwise_counts[self.names[cls]]["IN"] += 1
-                    else:  # Moving upward
-                        self.out_count += 1
-                        self.classwise_counts[self.names[cls]]["OUT"] += 1
                 self.counted_ids.append(track_id)
 
     def store_classwise_counts(self, cls):

ultralytics/utils/torch_utils.py

@@ -675,7 +675,7 @@ def profile(input, ops, n=10, device=None, max_num_obj=0):
                         torch.randn(
                             x.shape[0],
                             max_num_obj,
-                            int(sum([(x.shape[-1] / s) * (x.shape[-2] / s) for s in m.stride.tolist()])),
+                            int(sum((x.shape[-1] / s) * (x.shape[-2] / s) for s in m.stride.tolist())),
                             device=device,
                             dtype=torch.float32,
                         )