py-R-FCN
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Ignore Difficult_Case set to True
Hello @YuwenXiong I have a doubt regarding ignoring difficult_case while training/testing on Pascal0712.
As per my understanding, for both training and testing phase, difficult annotation from pascal data is ignored which is set in pascal_voc.py # PASCAL specific config options self.config = {'cleanup' : True, 'use_salt' : True, 'use_diff' : False, 'matlab_eval' : False, 'rpn_file' : None, 'min_size' : 2}
As per my understanding, one should not ignore difficult_case atleast for evolution because if network is able to detect difficult example from test set, it will be treated as false alarm since there is no ground truth available to evaluate.
Please correct me if my understanding is wrong.
Thank you
I'm not sure whether I understand your question, and the 'use_diff' is only used during training https://github.com/YuwenXiong/py-R-FCN/blob/master/lib/datasets/pascal_voc.py#L260.