I've written my own Caffe layer in Python (maskextractor.py). When training the network from scratch, it worked well. But once I've tried finetuning from the saved network:
../caffe/build/tools/caffe train -solver solverFCN8s_MCN_newmodule.prototxt -snapshot snapshot/train8MCNs_borders_pascal_maskextractor_iter_1.solverstate
the error I got is failed import of the new layer:
I1127 09:38:40.254966 3102 layer_factory.hpp:77] Creating layer maskextractor
ImportError: No module named mask_extractor
terminate called after throwing an instance of 'boost::python::error_already_set'
*** Aborted at 1511775520 (unix time) try "date -d @1511775520" if you are using GNU date ***
Clearly Caffe can't find the new layer. I've added it to the Pythonpath via sys.path.insert and then copied to caffe/python/caffe/ an recompiled pycaffe, but it didn't help either.
EDIT: this only happens when I finetune. If I start from solver:
import numpy as np
from PIL import Image
import os, sys
caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe/python"
sys.path.insert(0,caffe_dir)
import caffe
newmodule_dir = "../lib/mask_extractor"
sys.path.insert(0, newmodule_dir)
import mask_extractor
#
caffe.set_mode_gpu()
caffe.set_device(0)
# continue from the saved weights
weights = 'snapshot/train8MCNs_borders_pascal_adadelta_maskextractor_new_iter_1.caffemodel'
solver=caffe.get_solver('solverFCN8s_MCN_adadelta_maskextractor_new.prototxt')
solver.net.copy_from(weights)
solver.solve()
everything works fine. But I want to continue training from he snapshot. In such case I get the error above. PythonPath looks like
print sys.path
['/home/ICTDOMAIN/453615/Downloads/caffe/python', '../lib/mask_extractor', '/home/ICTDOMAIN/453615/Downloads/caffe/python', '/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/voc-fcn8s', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/mxnet-0.9.5-py2.7.egg', '/usr/local/lib/python2.7/dist-packages/fast_rcnn-0.0.0-py2.7-linux-x86_64.egg', '/usr/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages/PILcompat', '/usr/lib/python2.7/dist-packages/gtk-2.0', '/usr/lib/python2.7/dist-packages/ubuntu-sso-client']
EDIT 2: this is how the sys.path and the import looks like
from subprocess import call
import numpy as np
from PIL import Image
import os, sys
#caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe-crfrnn/python"
#caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe/python"
#sys.path.insert(0,caffe_dir)
#import caffe
newmodule_dir = "/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/lib/mask_extractor"
sys.path.insert(0, newmodule_dir)
import mask_extractor
#import caffe
#
caffe.set_mode_gpu()
caffe.set_device(0)
print sys.path
# continue from the saved weights
call('/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/voc-fcn8s/run_ft.sh', shell=True)'
and sys.path is now
'/home/ICTDOMAIN/453615/Downloads/caffe/python', '/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/lib/mask_extractor'
Yet the exact same problem persists. As I mentioned before, this only comes up when I invoke caffe from the tools dir. When I create caffe net with the solver rather than solverstate, no problems are reported.
PYTHONPATHissue. use the same as the one used for the initial training. - ShaiPYTHONPATH. I'm pretty sure that changing your mask_extractor path to be an absolute path will fix yourImportError. I've updated my answer. - Jonathan