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I am new to darknet and impressed by your c++ DarkHelp very good coverage.
We are using AI for detecting vehicles from intersections . currently using yolov7 and fairy good enough . We want to give a shot and possibly change to c++ . can we use yolov7 models with darknet. ? If now which model you suggest for replacing yolov7e6 ?
We also want to detect small vehicles from 4Mp resolution . tiling looks very good solution for that. detecting and tracking (bytetrack at the moment)
When tiling we are inferencing more than one image per image. so it make slower . However can we doing inference simultaneously (batch) for tiled version ?
The text was updated successfully, but these errors were encountered:
For anyone else looking to use YOLOv7, note that it does work with DarkHelp. I have a video of it here, comparing YOLOv4-tiny and YOLOv7-tiny: https://www.youtube.com/watch?v=JSgDs0XXz8M
Hi, @stephanecharette
I am new to darknet and impressed by your c++ DarkHelp very good coverage.
We are using AI for detecting vehicles from intersections . currently using yolov7 and fairy good enough . We want to give a shot and possibly change to c++ . can we use yolov7 models with darknet. ? If now which model you suggest for replacing yolov7e6 ?
We also want to detect small vehicles from 4Mp resolution . tiling looks very good solution for that. detecting and tracking (bytetrack at the moment)
When tiling we are inferencing more than one image per image. so it make slower . However can we doing inference simultaneously (batch) for tiled version ?
The text was updated successfully, but these errors were encountered: