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Using cv2 dnn interface to run yolov8 model #24396 This is a sample code for using opencv dnn interface to run ultralytics yolov8 model for object detection. ### 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 - [] 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 |
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| .. | ||
| android | ||
| cpp | ||
| data | ||
| directx | ||
| dnn | ||
| gdb | ||
| gpu | ||
| hal | ||
| install | ||
| java | ||
| opencl | ||
| opengl | ||
| openvx | ||
| python | ||
| semihosting | ||
| swift/ios | ||
| sycl | ||
| tapi | ||
| va_intel | ||
| winrt | ||
| winrt_universal | ||
| wp8 | ||
| _winpack_build_sample.cmd | ||
| _winpack_run_python_sample.cmd | ||
| CMakeLists.example.in | ||
| CMakeLists.txt | ||
| samples_utils.cmake | ||