From 4c86b287fd0aa1a98125e2056ba6956174808fb3 Mon Sep 17 00:00:00 2001 From: "Alessandro de Oliveira Faria (A.K.A.CABELO)" Date: Mon, 25 Mar 2024 04:02:17 -0300 Subject: [PATCH] Merge pull request #25176 from cabelo:4.x Added and tested yolov8s and yolov8n model #25176 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [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 - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake Below is evidence of the test: ![yolos-n](https://github.com/opencv/opencv/assets/675645/f3bd19ae-85a4-4747-9fa9-f6e31257d2d5) --- samples/dnn/models.yml | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/samples/dnn/models.yml b/samples/dnn/models.yml index f72a385942..d2d4fa661c 100644 --- a/samples/dnn/models.yml +++ b/samples/dnn/models.yml @@ -34,6 +34,36 @@ yolov8x: background_label_id: 0 sample: "yolo_detector" +yolov8s: + load_info: + url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8s.onnx" + sha1: "82cd83984396fe929909ecb58212b0e86d0904b1" + model: "yolov8s.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" + +yolov8n: + load_info: + url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov8n.onnx" + sha1: "68f864475d06e2ec4037181052739f268eeac38d" + model: "yolov8n.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