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Anyone who achieve reported performance ? Run successfully, 0.78ccuracy gained #12

@JingyunLiang

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@JingyunLiang

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 generate test_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?


 I0427 20:00:13.632690  7424 net.cpp:255] Network initialization done.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:505] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 1064471629
I0427 20:00:15.885128  7424 caffe.cpp:291] Running for 50 iterations.
I0427 20:00:16.072052  7424 caffe.cpp:314] Batch 0, accuracy1+2 = 0
I0427 20:00:16.072088  7424 caffe.cpp:314] Batch 0, accuracy1+2+3 = 0
...
I0427 20:00:18.361052  7424 caffe.cpp:314] Batch 49, accuracy1+2 = 0
I0427 20:00:18.361081  7424 caffe.cpp:314] Batch 49, accuracy1+2+3 = 0
I0427 20:00:18.361088  7424 caffe.cpp:319] Loss: 0
I0427 20:00:18.361097  7424 caffe.cpp:331] accuracy1+2 = 0
I0427 20:00:18.361104  7424 caffe.cpp:331] accuracy1+2+3 = 0.02```

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