ashwath1295

Hello, I want to know how to evaluate the output? does anyone have an idea ?

AssertionError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_18688/1973085970.py in 53 54 ---> 55 net = EEGNet().cuda(0) 56 print (net.forward(Variable(torch.Tensor(np.random.rand(1, 1, 120, 64)).cuda(0)))) 57 criterion = nn.BCELoss() ~\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py in cuda(self, device) 678...

I have an issue while converting MOTS(Multiple object tracking segmentation) ground truth values to standard MOT(Multiple object tracking) formats. **MOTS Format** For example:1 2002 2 1080 1920 UkU\1`0RQ1>PoN\OVP1X1F=I3oSOTNlg0U2lWOVNng0m1nWOWNlg0n1PXOWNlg0l1SXOUNjg0P2RXO.... Frame: 1,...