AntonMu
AntonMu
Maybe check out https://github.com/bertelschmitt/multistreamYOLO
Hi @Voldy1998 On a high level, the yolo network is a deep neural net with millions of parameters and needs millions of labeled images to tune all these parameters. Because...
You probably need to be a bit more specific. What is your IoU constraint here? A common metric in object detection is mAP.
I see. I think it looks fine. It is a little unusual to use this type of curve. How do you deal with multiple cars in one picture? In your...
Ok. That sounds reasonable for your use case. You are basically treating a object detection problem as a classification problem. Essentially you are capturing one aspects of the model (the...
Ah Ok - cool. Yes, you are right. I was a bit thrown off by the single class. But it makes sense - if you only have a single class...
Cool - yes. I think there are several options. One could be to add a description on the steps you did maybe under the 3_Inference section. There would also be...
I see - best thing is to start a PR and then I can check. But if you followed the tutorial it should be fine. To add it here -...
Everything you are asking, you can see in the colab: https://github.com/AntonMu/TrainYourOwnYOLO#google-colab-tutorial- Hope this helps!
If you look at the log messages under `!python Train_YOLO.py`, you see the exact numbers of frozen layers in each step. Of course, if you freeze layers, you train only...