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Anyone who achieve reported performance ? Run successfully, 0.78ccuracy gained #12
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Problem solved. The authors use Common_Yellowthroat as the 0 class, which is different to most of us: use Common_Yellowthroat as the 200 class. |
@MichaelLiang12 Hello, I'm trying to begin my experient according to this paper in TensorFlow , but the code link are unavailabel . Do you have download it ?Only code is very well ,I want to know more details in it .Could you please send it to me ? My mailbox is [email protected] .Thank you very much ! |
The link is still available now. Maybe you should turn to a VPN tool like Lantern. For convenience, I uploaded the resource to BaiduYun. |
@MichaelLiang12 Hello, I'm trying to training... Could you please send the train.prototxt to me? Thank you very much. |
I don't have train.prototxt neither. Even for testing, I failed to reproduce. |
@MichaelLiang12 Hi, can you leave a contact to me (maybe qq)? |
@ProblemTryer Sorry, I didn't try to train the model. I just tested the model with given files, but achieved inferior results. |
百度云链接失效了请问还可以分享一下链接嘛,或者我的邮箱是[email protected],非常感谢 |
To prepare for the
lmdb
data, I first resize the short side to 448 with original ratio in Matlab, and save them on the disk. Then I use official caffe code to generatetest_shortside448.lmdb
. However, I failed at last.I tried two different settings: class label starts from 0 and class label starts from 1. None of then worked. Is there any other detail I messed?
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