Code Understanding

[deshanadesai]

Hi, could you explain what this part of the code is trying to do?

    for i in range(len(olist)//2):
        ocls,oreg = olist[i*2].data.cpu(),olist[i*2+1].data.cpu()
        print(ocls.shape)
        FB,FC,FH,FW = ocls.size() # feature map size
        stride = 2**(i+2)    # 4,8,16,32,64,128
        anchor = stride*4
        for Findex in range(FH*FW):
            windex,hindex = Findex%FW,Findex//FW
            axc,ayc = stride/2+windex*stride,stride/2+hindex*stride
            score = ocls[0,1,hindex,windex]
            loc = oreg[0,:,hindex,windex].contiguous().view(1,4)
            if score<0.05: continue
            priors = torch.Tensor([[axc/1.0,ayc/1.0,stride*4/1.0,stride*4/1.0]])
            variances = [0.1,0.2]
            box = decode(loc,priors,variances)

Thanks!