Closed mehar50 closed 2 years ago
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You could take a look at the multiple object-tracking algorithm Deep SORT. Articlies like Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT have successfully used Deep SORT together with YOLOv4, so I assume it would also be possible to use it with YOLOv5.
maybe this helps you, even if it is for yolov4
@mehar50 👋 Hello! Thanks for asking about object tracking in computer vision. YOLOv5 🚀 is an object detector that detect, localizes and classifies objects in a single image. It does not connect objects across multiple images, for this you need a tracking solution. A few possible tracking solutions are:
Good luck 🍀 and let us know if you have any other questions!
@mehar50
sorry, i misread your question. actually i also try to count objects on a single image of mine. how could you count the detected objects by classes? could you share your code please?
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I trained yolov5 on my custom dataset, more specifically my goal is to count roadside trees, which perfectly works for detection. Now I want to count these trees like if a tree remains in more than one frame it should not be counted multiple times.. I'll be grateful if someone can help me in this regard... Thank you for reading this
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