evalKITTI

Evaluation on sparse correspondences (MegaDepth and RobotCar )

Data

The KITTI 2015 dataset can be downloaded in here. We only use the data stereo 2015/flow 2015/scene flow 2015 data set (2 GB).

Once it is downloaded, saved it into ../../data, the file structure should be :

./RANSAC-Flow/data/Kitti
├── training/
│   ├── image_2/
│   ├── flow_noc/
│   └── flow_occ/
└── testing/
    ├── image_3/
    └── image_2/

MOCO feature

W/O Fine-tuning

Running :

python evaluation.py --outDir MOCO_WO_FT Kitti

To get results with our fine alignment :

python getResults.py --predDir MOCO_WO_FT --resName Finetune --multiH --noc --interpolate

Fine-tuning

Running :

python evaluation.py --outDir MOCO_FT --resumePth ../../model/pretrained/KITTI_TestFT.pth Kitti

To get results with our fine alignment :

python getResults.py --predDir MOCO_FT --resName Finetune --multiH --noc --interpolate

ImageNet feature

Adding --imageNet when running evaluation.py with the above commands.