IzzeddinTeeti

@SushkoVadim Thank you so much. I did what you suggested and got the following error --- Now computing Inception activations for real set --- --- Finished FID stats for real...

@SushkoVadim Update, I changed L156 in `models.py` to `target_map[target_map == c] = torch.randint(0,2,(1,)).cuda()`, and got the following error: Created OASIS_Generator with 78461891 parameters Created OASIS_Discriminator with 22268654 parameters /home/izzeddin/anaconda3/lib/python3.8/site-packages/torch/nn/functional.py:1628: UserWarning:...

> @IzzeddinTeeti > Hi, have you tried head only true? > I have got decent results on D0, D1, D2, not D3 yet:)> > You should do 2 steps training...

> Probably Formula Student right? > You should definitly do what @Ronald-Kray said. > Additionally, try scaling the anchors down in params.yaml if you did not already. Had a major...

@SiBensberg, thank you so much, I have way better results after modifying the `anchors_scales`. I am also trying to apply your second advise which is suppressing the augmentation, but I...

How did you calculate the mAP?

I have the same problem