3 ms·
In short, the author used yolo5 to count cars from webcam streams locations along highways in San Juan. I think it would have been easier to do background subtr
by pilotneko 5y ago
In short, the author used yolo5 to count cars from webcam streams locations along highways in San Juan. I think it would have been easier to do background subtraction and count vehicles using standard vision techniques (e.g., threshold, watershed, count blobs), given that they had access to a fixed view security feed.
- alexpotato 5y agoFor the night images, I would imagine just number of red pixels would give a roughly accurate count which could be converted into "high" or "low"
- edge17 5y agoI think the author used Yolov5 to detect cars and their own method for counting them. Counting requires tracking object instances, which Yolo doesn't do.
- jjwiseman 5y agoHe rant it every 60 seconds, so I don't think he was too concerned about tracking instances. And it doesn't really matter for purposes of classifying traffic levels.
- boredumb 5y agoCounting the different vehicles to boot strap it and have it start saving training images into the categories so that a new model could be trained against those images, and not rely on object detection to create new training data or power that app.