Awesome
Person_reID_baseline_matconvnet
Matconvnet implement of Person re-identification baseline. We arrived Rank@1=87.74% mAP=69.46% only with softmax loss.
Installation
-
Clone this repo
git clone https://github.com/layumi/Person_reID_baseline_matconvnet.git cd Person_reID_baseline_matconvnet mkdir data
-
Compile matconvnet
You just need to uncomment and modify some lines in
gpu_compile.m
and run it in Matlab. Try it~If you fail in compilation, you may refer to http://www.vlfeat.org/matconvnet/install/
Train
-
Add your dataset path into
prepare_data.m
and run it. Make sure the code outputs the right image path. -
Download the model pre-trained on ImageNet. And put the model into './data'.
(bash) wget http://www.vlfeat.org/matconvnet/models/imagenet-resnet-50-dag.mat
- Run
train_id_net_res_market_baseline.m
.
Test
-
After training, you can run
test/test_gallery_res_crazy_pool5.m
to extract the features of images in the gallery and query set. They will store in a .mat file. Then you can use it to do evaluation. -
run
baseline/zzd_evaluation_res_faster.m
to get the final result.