Error in DCGAN-tensorflow

[Niculuse]

information is as follows:
PS F:\tf\GAN_for_ReID\DCGAN-tensorflow-master> python main.py --data_set duke_train --train --input_height 128 --output_
height 128 --options 1
{'batch_size': 64,
'beta1': 0.5,
'checkpoint_dir': 'checkpoint',
'crop': False,
'dataset': 'celebA',
'epoch': 25,
'input_fname_pattern': '*.jpg',
'input_height': 128,
'input_width': None,
'learning_rate': 0.0002,
'options': 1,
'output_height': 128,
'output_path': 'duke_result',
'output_width': None,
'sample_dir': 'samples',
'sample_size': 1000,
'train': True,
'train_size': inf,
'visualize': False}
2017-12-02 10:27:00.324224: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2017-12-02 10:27:01.058755: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 860M major: 5 minor: 0 memoryClockRate(GHz): 1.0195
pciBusID: 0000:01:00.0
totalMemory: 2.00GiB freeMemory: 1.65GiB
2017-12-02 10:27:01.065748: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 860M, pci bus id: 0000:01:00.0, compute capability: 5.0)
Traceback (most recent call last):
File "main.py", line 100, in
tf.app.run()
File "D:\Program Files (x86)\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 78, in main
sample_dir=FLAGS.sample_dir)
File "F:\tf\GAN_for_ReID\DCGAN-tensorflow-master\model.py", line 78, in init
imreadImg = imread(self.data[0]);
IndexError: list index out of range
please tell me how to solve it.Thanks for your time!

[TaihuLight]

You shoul use the version forked by layumi, it is correct. but my test result on Market1501 is mAP=0.532, rank-1 = 0.7497

[layumi]

Hi @Niculuse ，
Sorry for the late response. I didn't notice this issue.
You may refer to https://github.com/layumi/DCGAN-tensorflow
Any question is welcomed.

Thanks for reporting your result @TaihuLight
Did you test K+1 or baseline result? Are these result right?