Is there anyway to compile codes in caffe tools folder so i can do training? about caffe-android-lib

[sh1r0]

Sorry for my late response. Did you try to build glags for Android? But actually, it's not required to make it. You can simply copy and modify train() in caffe/tools/caffe.cpp and put it somewhere (e.g., caffe_mobile.cpp) and implement a corresponding jni call for the usage.

[ZhengRui]

I just include the header files of gflag but i didn't use its compiled library, i noticed that it's not required. After compiling most dependencies for arm platform including leveldb, lmdb, snappy, and changing the caffe code a bit, now i can train mnist dataset and the trained model did get 98% accuracy after i loaded and tested it on my laptop. But only leveldb worked well, lmdb got some problems. Also i think start_logger() function may need to be changed a bit to print the training output from caffe correctly. I have putted it down for many days, hope could make it work more smoothly when i got time.

[sh1r0]

Sorry for my possible misunderstanding. Your laptop? (ARM-based?)

[ZhengRui]

i mean i trained it on the phone, but during training from the output of my android studio it's quite messy, i am not sure how good the model trained, so i loaded to my laptop and test it, accuracy is fine.

[sh1r0]

Wow, that's great!!

[sh1r0]

Cmake is used to build the caffe lib now (except some modules. e.g. python, matlab, etc.).