Open k-eak opened 7 years ago
Yes surely !! You will need to initialise with the already learnt params, and then do forward and backward passes using some python code. Specifically see this file - https://github.com/BVLC/caffe/blob/master/python/caffe/pycaffe.py and use functions for getting and setting params and forward and backward passes !! Also https://github.com/BVLC/caffe/blob/master/docs/tutorial/interfaces.md may help !!
Dear sukritshankar,
Thank you for your prompt response. I think I managed to get it work. However, I am now getting another error:
I0316 10:54:52.287003 21115 layer_factory.hpp:77] Creating layer data I0316 10:54:52.288473 21115 net.cpp:100] Creating Layer data I0316 10:54:52.288525 21115 net.cpp:408] data -> data I0316 10:54:52.288667 21115 data_transformer.cpp:25] Loading mean file from: means/data.binaryproto F0316 10:54:52.293195 21118 db_lmdb.hpp:15] Check failed: mdb_status == 0 (38 vs. 0) Function not implemented
Have you ever encountered such error? I did some search for "Function not implemented" error but couldn't find anything helpful.
Thank you.
@emirak Hi emirak. Did you fix that error? I encountered the same error? Did you use a HPC as same as me? Can you give me some advices. Thank you!
@Feywell Hi Feywell, I did not fix that error (I am not familiar with Caffe) but I just switched to Tensorflow which is much more easier to configure.
Hi,
First of all thank you for your contributions, your code has been very helpful. I've managed to run my model from the scratch.
I was wondering if it is possible to use a pre-trained single label Caffe model for my multi label problem. I've been unsuccessful to make it work and I think it is because of different data layer structures. Do you think is it possible to make it work?
Thank you.