Large EPE for optical flow evaluation

[DeckerDai]

Hey Anurag, thanks for your wonderful work!

I got the following results when running test_flow.py:

	epe_total	epe_sp	epe_mv	Fl	epe_total_gt_mask	epe_sp_gt_mask	epe_mv_gt_mask	Fl_gt_mask
Errors	81.6802	6.4460	174.5231	0.6040	36.2934	6.3183	183.9449	0.4385

This seems pretty large, especially the EPE.

I run the evaluation in the same way as mentioned in the readme, with the following script:

model_dir=/path/to/cc_models/geometry
cd /path/to/cc/
python test_flow.py \
    --pretrained-disp="$model_dir/dispnet_cs_k.pth.tar" \
    --pretrained-pose="$model_dir/posenet.pth.tar" \
    --pretrained-mask="$model_dir/masknet.pth.tar" \
    --pretrained-flow="$model_dir/back2future.pth.tar" \
    --kitti-dir=/path/to/kitti_data/

All other settings are set as default. My PyTorch and cuda version are 1.4.0 and 10.0.

Is there something wrong? Or I miss something?

Thanks in advance!
Best,