Project page: [http://www.robots.ox.ac.uk/~luca/cfnet.html]
WARNING: we used Matlab 2015, MatConvNet v1.0beta24, CUDA 8.0 and cudnn 5.1. Other configurations might work, but it is not guaranteed. In particular, we received several reports of problems with Matlab 2017.
[ Tracking only ] If you don't care about training, you can simply use one of our pretrained networks with our basic tracker.
cfnet/pretrained
.cfnet/src/tracking/
and remove the trailing .example
from env_paths_tracking.m.example
, startup.m.example
, editing the files as appropriate.validation
folder in cfnet/data/
.Start from one of the cfnet/src/tracking/run_*_evaluation.m
entry points.
[ Training and tracking ] Start here if instead you prefer to DIY and train your own networks.
cfnet/data/
.cfnet/src/training
and remove the trailing .example
from env_paths_training.m.example
and startup.m.example
, editing the files as appropriate.cfnet/train/run_experiment_*.m
are some examples to start training. Default hyper-params are at the start of experiment.m
and are overwritten by custom ones specified in run_experiment_*.m
.cfnet/src/training/data/
. When you are happy, grab a network snapshot (net-epoch-X.mat
) and save it somewhere (e.g. cfnet/pretrained/
).4.
of Tracking only, follow the instructions and enjoy the labour of your own GPUs!