Kitti 2015 train and val epe

[pichuang1984]

Hi,

I am trying to reproduce your KITTI-15 validation (40 images) Fl-err and EPE result. I am using the finetune_149999.tar under kitti-ft-trainval. However I am unable to reporduce neither of your Fl-err (3.9) and EPE (1.144).

For EPE on 40 images, the average EPE I got is 2.527. As a reference, the average EPE is 2.5 for the kitti-train.

To calculate the EPE, I am using the following approach:

for index in range(len(test_left_img)):
    1. flow, _ = VCN(input)
    2. Resize flow to kitti Height and Width
    mask = gtflow[:,:,2]==1
    gtflow = gtflow[:,:,:2]
    flow = flow[:,:,:2]
    epe = np.sqrt(np.power(gtflow - flow,2).sum(-1))[mask]
     aepe_s.append( epe.mean() )

result = sum(aepe_s)/len(aepe_s)

Is this the right approach? Also, I don't seen to be able to find the code to compute Fl-err. Can you share this as well?

Thanks,

[gengshan-y]

Did you try this command in readme? It computes both epe and fl-err.

python eval_tmp.py --path ./weights/$modelname/ --vis no --dataset 2015