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Merge pull request #24496 from cabelo:yolov3
Add weights yolov3 in models.yml #24496 ### 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 I don't know if this action is necessary, or the previous PR scale for the brach master. Thanks.
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@ -21,7 +21,7 @@ opencv_fd:
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# YOLO4 object detection family from Darknet (https://github.com/AlexeyAB/darknet)
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# YOLO object detection family from Darknet (https://pjreddie.com/darknet/yolo/)
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# Might be used for all YOLOv2, TinyYolov2, YOLOv3, YOLOv4 and TinyYolov4
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yolo:
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yolov4:
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load_info:
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url: "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights"
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sha1: "0143deb6c46fcc7f74dd35bf3c14edc3784e99ee"
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@ -32,7 +32,7 @@ yolo:
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width: 416
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height: 416
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rgb: true
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classes: "object_detection_classes_yolov4.txt"
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classes: "object_detection_classes_yolo.txt"
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sample: "object_detection"
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yolov4-tiny:
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@ -46,7 +46,21 @@ yolov4-tiny:
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width: 416
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height: 416
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rgb: true
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classes: "object_detection_classes_yolov4.txt"
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classes: "object_detection_classes_yolo.txt"
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sample: "object_detection"
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yolov3:
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load_info:
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url: "https://pjreddie.com/media/files/yolov3.weights"
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sha1: "520878f12e97cf820529daea502acca380f1cb8e"
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model: "yolov3.weights"
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config: "yolov3.cfg"
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mean: [0, 0, 0]
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scale: 0.00392
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width: 416
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height: 416
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rgb: true
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classes: "object_detection_classes_yolo.txt"
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sample: "object_detection"
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tiny-yolo-voc:
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