diff --git a/.github/workflows/format.yml b/.github/workflows/format.yml index 845d48df..ccc4c103 100644 --- a/.github/workflows/format.yml +++ b/.github/workflows/format.yml @@ -5,8 +5,6 @@ name: Ultralytics Actions on: - push: - branches: [main] pull_request_target: branches: [main] types: [opened, closed, synchronize] diff --git a/docs/en/models/yolov10.md b/docs/en/models/yolov10.md index f1e0799e..24b13eaa 100644 --- a/docs/en/models/yolov10.md +++ b/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. diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py index 7b5793a2..40bb34d8 100644 --- a/ultralytics/__init__.py +++ b/ultralytics/__init__.py @@ -1,6 +1,6 @@ # Ultralytics YOLO 🚀, AGPL-3.0 license -__version__ = "8.2.43" +__version__ = "8.2.44" import os diff --git a/ultralytics/data/loaders.py b/ultralytics/data/loaders.py index e0c3f647..cd03850c 100644 --- a/ultralytics/data/loaders.py +++ b/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