IndexError: list index out of range with custom dataset

Hello all,
I am trying to run this on my own dataset of flowers, but I am getting this error,

> $ python main.py --dataset=flowares --train
> {'batch_size': 64,
> 'beta1': 0.5,
> 'checkpoint_dir': 'checkpoint',
> 'crop': False,
> 'dataset': 'flowares',
> 'epoch': 25,
> 'generate_test_images': 100,
> 'input_fname_pattern': '*.jpg',
> 'input_height': 108,
> 'input_width': None,
> 'learning_rate': 0.0002,
> 'output_height': 64,
> 'output_width': None,
> 'sample_dir': 'samples',
> 'train': True,
> 'train_size': inf,
> 'visualize': False}
> 2018-01-11 18:40:07.522922: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
> Traceback (most recent call last):
> File "main.py", line 100, in
> tf.app.run()
> File "/usr/local/lib/python2.7/dist-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 "/home/sohilparekh/Desktop/HardikC/DCGAN-tensorflow/model.py", line 78, in __init__
> imreadImg = imread(self.data[0])
> IndexError: list index out of range

Reproduce the command shown in the issue, then inspect main.py around line 78 and model.py around line 78, where the traceback reaches imread(self.data[0]). Trace how the custom dataset value is used to populate self.data and determine what prevents an image from being found; done means the command no longer raises IndexError for the reported dataset and the expected input files are handled.

Written by the indexing model from the issue text.