`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>
pull/14017/head v8.2.44
zzzer 7 months ago committed by GitHub
parent 5332f52f1e
commit 8136f66bfc
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  1. 2
      .github/workflows/format.yml
  2. 1
      docs/en/models/yolov10.md
  3. 2
      ultralytics/__init__.py
  4. 9
      ultralytics/data/loaders.py

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

@ -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.

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

@ -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

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