Stéphane Charette

Is this also a problem with the newer fork of Darknet/YOLO? I'm travelling right now and don't have access to my Windows environment to test, but I'd be curious to...

I just tried it with the Hank.ai branch. Weights trained on my Ubuntu training rig. Copied the neural network to a Windows 11 computer. Everything works perfectly on both devices....

I haven't looked at your issues, but the first step would probably use the new Darknet/YOLO repo: https://github.com/hank-ai/darknet#table-of-contents This repo you are posting to is no longer maintained.

You say: > BUT, in my yolov3, it's very fast. same machine, same hard devices. ...but is is not the same installation is it? The first one starts with this:...

And if you're looking for a faster tool, these are the results using DarkHelp: Tiny: > DarkHelp cfg/yolov3-tiny.cfg yolov3-tiny.weights data/coco.names data/dog.jpg > -> prediction took 3.865 milliseconds > DarkHelp cfg/yolov4-tiny.cfg...

> I only see one place different. I don't know why you say that. I pointed out all the differences to you above. Let me point them out again: The...

I very much disagree. See my blog post on Darknet and FPS. Changes in software alone can make differences from 6.1 FPS to 71.5 FPS:  And on my RTX2070,...

> Hi, I have the same problem. Inference time is too slow even though I set the GPU and CUDNN=1. I think you found the way to turn on the...

Note this repo is no longer maintained. The new Darknet/YOLO repo is here: https://github.com/hank-ai/darknet#table-of-contents

Please try the new Darknet/YOLO repo: https://github.com/hank-ai/darknet?tab=readme-ov-file#table-of-contents