opencv YOLOv2 vs darknet YOLOv2; is the results should be similar or different?
This is the result of OpenCV YOLOv2
While this is the result of using darknet YOLOv2
May I know why opencv YOLOv2 is different from darknet's? Should both of the results are different? If I'm wrong in any way please do correct me.
cfg = "yolo.cfg" weights = "yolo.weights" names = "coco.names" threshold = 0.24
Afaik OpenCV has YOLOv1 because it does not have these return layers that YOLOv2 needs and hence the lower accuracy?
https://github.com/pjreddie/darknet/i...
as mentioned here, AlexeyAB states that: Now Darknet Yolo v2 is added to the OpenCV: opencv/opencv#9705 You can use it from master-branch or since OpenCV 3.4.0 will be released.
so which one is right? is OpenCV's v1 or v2?