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@austinmw, OpenCV and Darknet are separate libraries. Both of them can work standalone. YOLOv3 is a deep learning network which trained in Darknet. There is an application (./darknet) that you can use without OpenCV (output is produced to *.png file) or with OpenCV (perhaps output will be rendered on the screen). On the other hand you may use OpenCV without Darknet. You need to build it from source from branch 3.4 and run object_detection.cpp or object_detection.py. Read more about arguments in tutorial https://docs.opencv.org/master/da/d9d/tutorial_dnn_yolo.html .

@austinmw, OpenCV and Darknet are separate libraries. Both of them can work standalone. YOLOv3 is a deep learning network which trained in Darknet. There is an application (./darknet) that you can use without OpenCV (output is produced to *.png file) or with OpenCV (perhaps output will be rendered on the screen). On the other hand you may use OpenCV without Darknet. You need to build it from source from branch 3.4 and run object_detection.cpp or object_detection.py. Read more about arguments in tutorial https://docs.opencv.org/master/da/d9d/tutorial_dnn_yolo.html .