Person_reID_baseline_matconvnet

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Person_reID_baseline_matconvnet

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Matconvnet implement of Person re-identification baseline. We arrived Rank@1=87.74% mAP=69.46% only with softmax loss.

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# 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
1. Clone this repo
 
	```Shell
	git clone https://github.com/layumi/Person_reID_baseline_matconvnet.git
	cd Person_reID_baseline_matconvnet
	mkdir data
	```
	
2. 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
1. Add your dataset path into `prepare_data.m` and run it. Make sure the code outputs the right image path.

2. 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
```

3. Run `train_id_net_res_market_baseline.m`.

## Test 
1. 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.

2. run `baseline/zzd_evaluation_res_faster.m` to get the final result.

Person_reID_baseline_matconvnet

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