The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
MIT License
251
stars
50
forks
source link
how to prepare test set result for kitti benchmark #31
I just need explanation of files that should I upload to get kitti_15 testing result? because I have uploaded them many times but I have gotten this error:
ERROR: Zip file content is either invalid or too large (>500 MB). Please try again! (accumulated size of files in zip file: 0 MB)
I selected Stereo / Flow / Scene Flow 2015 option
I have uploaded zip file called flow and contains flow images inside (200 png images numbered from 000000_10.png to 000199_10.png) which are the flow of the testing images data_scene_flow/testing/image_2
what should be the error please? they asked to provide (Provide a zip file which contains the 'disp_0' directory (stereo), the 'flow' directory (flow), or the 'disp_0', 'disp_1' and 'flow' directories (scene flow) in its root folder. Use the file format and naming described in the readme.txt (000000_10.png,...,000199_10.png).
how to get the disp_0 ? I want to check the flow only
I just need explanation of files that should I upload to get kitti_15 testing result? because I have uploaded them many times but I have gotten this error:
ERROR: Zip file content is either invalid or too large (>500 MB). Please try again! (accumulated size of files in zip file: 0 MB)
I selected Stereo / Flow / Scene Flow 2015 option
I have uploaded zip file called flow and contains flow images inside (200 png images numbered from 000000_10.png to 000199_10.png) which are the flow of the testing images data_scene_flow/testing/image_2
what should be the error please? they asked to provide (Provide a zip file which contains the 'disp_0' directory (stereo), the 'flow' directory (flow), or the 'disp_0', 'disp_1' and 'flow' directories (scene flow) in its root folder. Use the file format and naming described in the readme.txt (000000_10.png,...,000199_10.png). how to get the disp_0 ? I want to check the flow only