Hi @mitmul,

I am trying to train the roads data set using the Mnih_CNN_Roads model created by running the create_model.sh script.

The ssai/shells/train.sh script tries to run $CAFFE_DIR/bin/caffe which is unavailable even though your modified caffe version was succcesfully installed and test using the mnist sample tests.

When i tried pointing the same command to $CAFFE_DIR/distribute/caffe.bin, the program crashed.

This is the modified training command that i am using:

nohup $CAFFE_DIR/distribute/bin/caffe.bin train
-solver=$PWD/solver.prototxt &

This is dumping a core.

Please help to rectify this.

Hi,
I'm trying to run training model for your scripts.
But i'm getting an error.
What could be the reason?

Best regards,
Ilya

start learning models/Mnih_CNN_Buildings
kalinovskiy@kalinovskiy-virtual-machine:/project/ssai-master$ I1013 02:18:28.541991 15748 caffe.cpp:117] Use CPU.
I1013 02:18:28.542275 15748 caffe.cpp:121] Starting Optimization
I1013 02:18:28.542351 15748 solver.cpp:32] Initializing solver from parameters:
test_iter: 100
test_interval: 1000
base_lr: 0.0005
display: 100
max_iter: 400000
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 0.0005
stepsize: 100000
snapshot: 10000
snapshot_prefix: "snapshots/Mnih_CNN_Buildings"
solver_mode: CPU
device_id: 2
random_seed: 1701
net: "train_test.prototxt"
solver_type: SGD
I1013 02:18:28.542444 15748 solver.cpp:70] Creating training net from net file: train_test.prototxt
[libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.NetParameter: 53:27: Message type "caffe.LayerParameter" has no field named "patch_transformer_param".
F1013 02:18:28.542604 15748 upgrade_proto.cpp:928] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: train_test.prototxt
*** Check failure stack trace: ***
@ 0x7fd8bafc8ea4 (unknown)
@ 0x7fd8bafc8deb (unknown)
@ 0x7fd8bafc87bf (unknown)
@ 0x7fd8bafcba35 (unknown)
@ 0x7fd8bb3df941 caffe::ReadNetParamsFromTextFileOrDie()
@ 0x7fd8bb4036e2 caffe::Solver<>::InitTrainNet()
@ 0x7fd8bb404760 caffe::Solver<>::Init()
@ 0x7fd8bb404946 caffe::Solver<>::Solver()
@ 0x40dd50 caffe::GetSolver<>()
@ 0x406e22 train()
@ 0x40472b main
@ 0x7fd8ba4c8a40 (unknown)
@ 0x404d79 _start
@ (nil) (unknown)

Hello @mitmul. First of all, I appreciate sharing this great code and project!
For my research, I am trying to extract some features from your trained network.
However, I found out that there is no pre-trained model (or saved snapshot) that was trained with your dataset in this repo.
Instead of training from scratch with your network definition and dataset, would it be possible to ask for sharing the pre-trained model that you used in these slides (http://www.slideshare.net/mitmul/building-and-road-detection-from-large-aerial-imagery/1)?
Thank you for your time!

Hi,

I am trying to replicate your work using caffe, but am encountering the following issue when i try to create a model.

The ssai.so has been build and is stored in the following path:
/home/ubuntu/src/ssai/lib/build/ssai.so

I am running the following command to create the models:
$ python scripts/create_models.py --seed seeds/model_seeds.json --caffe_dir $HOME/src/caffe/

and i get the following stack trace:

ubuntu@ip-172-31-30-95:~/src/ssai$ python scripts/create_models.py --seed seeds/model_seeds.json --caffe_dir $HOME/src/caffe/
Namespace(batch_size=128, caffe_dir='/home/ubuntu/src/caffe/', crop_size=64, dataset_backend='lmdb', seed='seeds/model_seeds.json')
/home/ubuntu/src/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptrcaffe::Net already registered; second conversion method ignored.
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver,
/home/ubuntu/src/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptrcaffe::Blob already registered; second conversion method ignored.
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver,
/home/ubuntu/src/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptrcaffe::Solver already registered; second conversion method ignored.
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver,
Traceback (most recent call last):
File "/home/ubuntu/src/caffe//python/draw_net.py", line 45, in
main()
File "/home/ubuntu/src/caffe//python/draw_net.py", line 39, in main
text_format.Merge(open(args.input_net_proto_file).read(), net)
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/text_format.py", line 265, in Merge
return MergeLines(text.split('\n'), message)
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/text_format.py", line 298, in MergeLines
_ParseOrMerge(lines, message, True)
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/text_format.py", line 229, in _ParseOrMerge
_MergeField(tokenizer, message, allow_multiple_scalars)
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/text_format.py", line 382, in _MergeField
_MergeField(tokenizer, sub_message, allow_multiple_scalars)
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/text_format.py", line 356, in _MergeField
message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 53:3 : Message type "caffe.LayerParameter" has no field named "patch_transformer_param".
Traceback (most recent call last):
File "scripts/create_models.py", line 611, in
'models/%s/net.png' % model_name])
File "/usr/lib/python2.7/subprocess.py", line 573, in check_output
raise CalledProcessError(retcode, cmd, output=output)
subprocess.CalledProcessError: Command '['python', '/home/ubuntu/src/caffe//python/draw_net.py', u'models/VGG_PReLU_Roads/train_test.prototxt', u'models/VGG_PReLU_Roads/net.png']' returned non-zero exit status 1

Note: I was doing this while the data download was in the progress with the bash shell/

Kindly help.