guancheng817
guancheng817
> Yes, I used the testing code and using your pretrained model from the model zoo I get 21 map. > `PascalBoxes_Precision/[email protected]= 0.21313359468022483` > > I am using 4 gpus,...
> How can I achieve 21.3 mAP. I use 8 gpus, cuda 10.0, python 3.7, pytorch 1.1.0 > Thank you. hi, Have your ever reproduced the 21.3 mAP results.
> > > How can I achieve 21.3 mAP. I use 8 gpus, cuda 10.0, python 3.7, pytorch 1.1.0 > > > Thank you. > > > > > >...
> @hanghangxie The spatial-temporal module is ported from the [MMDetection](https://github.com/open-mmlab/mmdetection), therefore Faster RCNN is supported. However the performance has not be tuned that well. I have a coarse version but...
675603921
Same question. The enviroment on my server is torch 1.0.1，torchvision 0.2.2.post3 with cuda 10.0.130 and I achieved 82.08% on CIFAR-10-IM50, 46.34% on CIFAR-100-IM50, which are lower than those in your...
> check the names of your images to see whether it end with '.jpg' or '.png', lowercase and uppercase make difference. my dataset ends with 'png' and still appear the...
same question..
> I have, I also added a classification part, and made it really end-to-end. I'm not sure t's the most proper way of doing it but I'll show you soon....