关亚勇

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thanks for your answer. yeah, the label is in the format N x 20, and each line value is [0, 1, 0, 1, ..., 1, 0], length is 20, where...

![image](https://cloud.githubusercontent.com/assets/5819910/22959800/0b06c448-f374-11e6-9104-41d76a99ea0f.png) I use the SigmoidCrossEntropyLoss, so that is why i doubt!i did not use your create_data_lmdb.py, instead of caffe own convert_imageset, is that influences??

thanks, i will try it again!

i got why, the accuracy style is wrong ![image](https://cloud.githubusercontent.com/assets/5819910/22961060/10c35752-f37e-11e6-952c-95ab6eced120.png) you konw how to test the accuracy when train like above?

@zengarden, yeah, how to apply FPN to light head rcnn ?