This is an unofficial implementation of "Deep Hough Voting for 3D Object Detection in Point Clouds" (https://arxiv.org/abs/1904.09664)
- Prepare SUN RGB-D dataset following the instructions of https://github.com/charlesq34/frustum-pointnets/tree/master/sunrgbd, note you only need to run
extract_rgbd_data.m
- Compile custom Tensorflow ops as described in PointNet++
- Pass the root folder of generated data in
MyDataFlow
and runrun.py
.
Data augmentationTest/Validation mAPTrain/Validation split3D NMS