HawkEye

Folders:

label -- labeling json files generated by VIA labeling tool from Oxford

srcs -- source file of HawkEye's neural network modules/preprocessing

scripts -- Utility scripts of our multi-stage custom dataset preparations

Before running

To run this project, the system must be Linux with ROS kinetic installed. Set up the velodyne workspace by running ./velodyne_setup.bash and press Ctrl-C as necessary.

Compile

cd srcs/preprocess
make

make sure your gcc compiler are running 32bits (64) if your python runs 32bits (64)

Train

Make sure you set your experiment name and put a config.json file in srcs/experiments/$exp_name$

python srcs/main.py train (--name=$experiment name$)

Evaluation

python srcs/main.py val (--name=$experiment name$)

Display a sample result

python srcs/main.py test --name=default

Dependencies

Python 3.5 (3.6)

Pytorch 0.4.1

Tensorflow

OpenCV

Shapely

Numpy

MatplotLib

PyKitti