keras-yolo3
run train mod file kittitrain3d.py code path
label_dir = '/home/cidi/dl/3dobject/3D-Deepbox/training/label_2/' image_dir = '/home/cidi/dl/3dobject/3D-Deepbox/training/image_2/'
python3 kittitrain3d.py
run test yolo3d2processvideo.py
data set download http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d Download the 3 temporally preceding frames (left color) (36 GB) Download training labels of object data set (5 MB)