Quick question regarding threshold and running on batch of images

[srireddy821]

1. What are the recommended thresholds for nets in your framework?
   parser.add_argument('--thresh', dest='thresh', help='list of thresh for pnet, rnet, onet', nargs="+",default=[0.6, 0.7, 0.7], type=float)

2. Does below argument sets the net to run on batch of images?

parser.add_argument('--batch_size', dest='batch_size', help='list of batch size used in prediction', nargs="+", default=[2048, 256, 16], type=int)

[Seanlinx]

@srireddy821

1. I use [0.6, 0.15, 0.05] while testing on FDDB. The thresholds are related to your training process(eg. epochs, number of images in training set).
2. The input is a single image, [2048, 256, 16] are for pnet, rnet and onet respectively.

[srireddy821]

Thanks a lot for the response.

1. Did you get a chance to train your model on the Widerface dataset?