ultralytics 8.2.44 Increase Predict dataloader robustness (#14005)

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

.github/workflows/format.yml

@@ -5,8 +5,6 @@
 name: Ultralytics Actions
 
 on:
-  push:
-    branches: [main]
   pull_request_target:
     branches: [main]
     types: [opened, closed, synchronize]

docs/en/models/yolov10.md

@@ -172,7 +172,6 @@ For training YOLOv10 on a custom dataset:
         yolo predict model=yolov10n.yaml source=path/to/bus.jpg
         ```
 
-
 ## Supported Tasks and Modes
 
 The YOLOv10 models series offers a range of models, each optimized for high-performance [Object Detection](../tasks/detect.md). These models cater to varying computational needs and accuracy requirements, making them versatile for a wide array of applications.

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.2.43"
+__version__ = "8.2.44"
 
 import os
 

ultralytics/data/loaders.py

@@ -362,10 +362,11 @@ class LoadImagesAndVideos:
                 self.mode = "image"
                 im0 = cv2.imread(path)  # BGR
                 if im0 is None:
-                    raise FileNotFoundError(f"Image Read Error {path}")
-                paths.append(path)
-                imgs.append(im0)
-                info.append(f"image {self.count + 1}/{self.nf} {path}: ")
+                    LOGGER.warning(f"WARNING ⚠️ Image Read Error {path}")
+                else:
+                    paths.append(path)
+                    imgs.append(im0)
+                    info.append(f"image {self.count + 1}/{self.nf} {path}: ")
                 self.count += 1  # move to the next file
                 if self.count >= self.ni:  # end of image list
                     break