Getting different test results on the KITTI

[ZM-Zhou]

Hi, first of all, thanks for your excellent work! When I tried to reproduce your results on the KITTI test set with your code and pretrained weights, I got different results from those reported in this repository. Specifically, I tested model50 with:
python main.py --val --data_path <kitti path> --resume <model path>/model50.tar --use_full_scale --post_process --output_scale 0 --disps_path <disparity save path> --num_layer 50 --batch_size 4
And the results are:

From	Abs Rel	Sq Rel	RMSE	δ < 1.25
This Repository	0.091	0.646	4.207	0.901
My Reproduction	0.096	0.669	4.254	0.888

It is noticed that the extension name of the images in my KITTI dataset is .png, and you mentioned that 'Our pre-trained model is trained in jpg, and the test performance on png will slightly decrease.'. Are the differences just caused by the extension name of the images? Or do I misunderstand other things?

[prstrive]

I think so.