kitti_completion
Code for Revisiting Sparsity Invariant Convolution: A Network for Image Guided Depth Completion.
KITTI training data
You need download the entire raw KITTI dataset to train.
Warning: it weighs about 175GB, so make sure you have enough space to unzip too!
Our default settings expect that you have converted the png images to jpeg.
Generate KITTI Submission
python dump_test.py --weight_path ./pretrained_weights.pth --data_path /path/to/dir/has/test_depth_completion_anonymous --dump
If you want to view results, please remove --dump option.
Training
python train.py --data_path /path/to/kitti --split full
The path containing KITTI datasets should be organized like this:
/path/to/kitti
raw/
2011_09_26/
2011_09_26_drive_0001_sync/
image_02/
image_03/
test_depth_completion_anonymous/
image/
velodyne_raw/
val_selection_cropped/
image/
velodyne_raw/
groundtruth_depth/