how to use gen_hard_example.py to generate R-net training data?

[KeyKy]

parser.add_argument('--dataset_path', dest='dataset_path', help='dataset folder',
                    default='data/wider', type=str)
parser.add_argument('--image_set', dest='image_set', help='image set',
                    default='test', type=str)

where is the test image_set?

[Seanlinx]

#4

[KeyKy]

@Seanlinx I use WIDER_train but gen_hard_examples.py is too slow in detect_face. Am i wrong