Merge pull request #25775 from richard28039:4.x

Add yolov8l.onnx to samples #25775

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Hello, I noticed that the /samples/dnn/models.yml said it should be used for all yolov8 models, but the YOLOv8l is not included in the file, so I added it to the file, thanks.
![image](https://github.com/opencv/opencv/assets/89371302/7a7b0090-ef4c-478d-8f24-7d99260fe0c9)
pull/25818/head
richard28039 5 months ago committed by GitHub
parent 2028998e00
commit 11c69bb171
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  1. 14
      samples/dnn/models.yml

@ -76,6 +76,20 @@ yolov8m:
background_label_id: 0
sample: "yolo_detector"
yolov8l:
load_info:
url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8l.onnx"
sha1: "462df53ca3a85d110bf6be7fc2e2bb1277124395"
model: "yolov8l.onnx"
mean: 0.0
scale: 0.00392
width: 640
height: 640
rgb: true
classes: "object_detection_classes_yolo.txt"
background_label_id: 0
sample: "yolo_detector"
# YOLO4 object detection family from Darknet (https://github.com/AlexeyAB/darknet)
# YOLO object detection family from Darknet (https://pjreddie.com/darknet/yolo/)
# Might be used for all YOLOv2, TinyYolov2, YOLOv3, YOLOv4 and TinyYolov4

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