Documentation #3

eong93 · 2017-11-22T18:23:48Z

Hi,

Is there more documentation on how to run this? I'm having trouble with training from scratch. Also, is "kohei-solution-20170612_4.zip" available somewhere?

Thanks

dlindenbaum · 2017-11-22T18:48:09Z

Hello,

The software code associated with kohei-solution-20170612_4.zip is in this directory.
https://github.com/SpaceNetChallenge/BuildingDetectors_Round2/tree/master/1-XD_XD

The zip file isn't currently available for download but the directions should be able to be followed from there.

This will require retraining.

Thank you,
Dave

eong93 · 2017-11-27T15:40:21Z

Dave,

Yeah I've tried following the training step from the "Instruction Manual" document", but I get errors like FileNotFoundError: File b'/data/working/models/v9s/AOI_5_Khartoum_val_evalhist_t h.csv' does not exist as well as for the other files in /data/working dir. Isn't training supposed to create those files?

Also, am I right to assume that I'm supposed to mount a directory "data" like below to the docker?
/data
├── test
│ ├── AOI_2_Vegas_Test
│ ├── AOI_3_Paris_Test
│ ├── AOI_4_Shanghai_Test
│ └── AOI_5_Khartoum_Test
└── train
├── AOI_2_Vegas_Train
├── AOI_3_Paris_Train
├── AOI_4_Shanghai_Train
└── AOI_5_Khartoum_Train

Thanks for the help

dlindenbaum · 2017-11-27T21:15:35Z

Hello,

What was the training command?

The working directory has large files that are created from the dataset. They are too large to host on Github. The training process is supposed to recreate them.

Are there any other errors above the FileNoteFound error. Usually this is caused because there was an error earlier in the data processing steps.

Thank you,
Dave

eong93 · 2017-11-28T18:40:57Z

Dave,

I followed these steps:

Run Container (container name: kohei-container)
$ sudo nvidia-docker start -a kohei-container -i

Training
root@xxxxxxxx:~$ ./train.sh
/data/train/AOI_2_Vegas_Train
/data/train/AOI_3_Paris_Train
/data/train/AOI_4_Shanghai_Train
/data/train/AOI_5_Khartoum_Train

Also, here is more of the output I got

`>>>>>>>>>> v17.py
2017-11-28 18:31:43,247 INFO Evaluate fscore on validation set: AOI_5_Khartoum
2017-11-28 18:31:43,247 INFO import modules
Using Theano backend.
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be remove
d in the next release (v0.10). Please switch to the gpuarray backend. You can g
et more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpua
rray%29

Using gpu device 0: Tesla K80 (CNMeM is disabled, cuDNN 5110)
2017-11-28 18:31:45,346 INFO Prediction phase
Traceback (most recent call last):
File "v17.py", line 623, in
cli()
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 72
2, in call
return self.main(*args, **kwargs)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 69
7, in main
rv = self.invoke(ctx)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 10
66, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 89
5, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 53
5, in invoke
return callback(*args, **kwargs)
File "v17.py", line 582, in evalfscore
area_id, enable_tqdm=True)
File "/root/v9s.py", line 1440, in _internal_validate_predict_best_param
param = _get_model_parameter(area_id)
File "/root/v9s.py", line 298, in _get_model_parameter
best_row = pd.read_csv(fn_hist).sort_values(
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py",
line 646, in parser_f
return _read(filepath_or_buffer, kwds)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py",
line 389, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py",
line 730, in init
self._make_engine(self.engine)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py",
line 923, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py",
line 1390, in init
self._reader = _parser.TextReader(src, **kwds)
File "pandas/parser.pyx", line 373, in pandas.parser.TextReader.cinit (pan
das/parser.c:4184)
File "pandas/parser.pyx", line 667, in pandas.parser.TextReader.setup_parser
source (pandas/parser.c:8449)
FileNotFoundError: File b'/data/working/models/v9s/AOI_5_Khartoum_val_evalhist_t
h.csv' does not exist`

dlindenbaum · 2017-11-28T19:19:52Z

Is that the entire output?

v17.py
Is one of the last things to be printed.
'/data/working/models/v9s/AOI_5_Khartoum_val_evalhist_t
h.csv' should be produced in the pre_processing steps.

Usually there are errors higher up that indicate a problem

Thank you,
Dave

eong93 · 2017-11-28T20:11:40Z

Here's the first part:

root@*****:~# ./train.sh \

/data/train/AOI_2_Vegas_Train \
/data/train/AOI_3_Paris_Train \
/data/train/AOI_4_Shanghai_Train \
/data/train/AOI_5_Khartoum_Train
CLEAN UP
rm -rf /data/working
PREPROCESSING STEP
python v5_im.py preproc_train /data/train/AOI_2_Vegas_Train
2017-11-28 18:29:49,663 INFO Preproc for training on AOI_2_Vegas
2017-11-28 18:29:49,663 INFO Generate IMAGELIST csv
Traceback (most recent call last):
File "v5_im.py", line 853, in
cli()
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 722, in call
return self.main(*args, **kwargs)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 697, in main
rv = self.invoke(ctx)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 1066, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 895, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 535, in invoke
return callback(*args, **kwargs)
File "v5_im.py", line 745, in preproc_train
prep_valtrain_valtest_imagelist(area_id)
File "v5_im.py", line 568, in prep_valtrain_valtest_imagelist
df = _load_train_summary_data(area_id)
File "v5_im.py", line 502, in _load_train_summary_data
df = pd.read_csv(fn)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py", line 646, in parser_f
return _read(filepath_or_buffer, kwds)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py", line 389, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py", line 730, in init
self._make_engine(self.engine)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py", line 923, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/io/parsers.py", line 1390, in init
self._reader = _parser.TextReader(src, **kwds)
File "pandas/parser.pyx", line 373, in pandas.parser.TextReader.cinit (pandas/parser.c:4184)
File "pandas/parser.pyx", line 667, in pandas.parser.TextReader._setup_parser_source (pandas/parser.c:8449)
FileNotFoundError: File b'/data/train/AOI_2_Vegas_Train/summaryData/AOI_2_Vegas_Train_Building_Solutions.csv' does not exist
python v12_im.py preproc_train /data/train/AOI_2_Vegas_Train
2017-11-28 18:29:50,556 INFO Preproc for training on AOI_2_Vegas
Traceback (most recent call last):
File "v12_im.py", line 629, in
cli()
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 722, in call
return self.main(*args, **kwargs)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 697, in main
rv = self.invoke(ctx)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 1066, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 895, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 535, in invoke
return callback(*args, **kwargs)
File "v12_im.py", line 564, in preproc_train
prefix=prefix)).exists()
AssertionError
python v16.py preproc_train /data/train/AOI_2_Vegas_Train
Using Theano backend.
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next release (v0.10). Please switch to the gpuarray backend. You can get more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29

Using gpu device 0: Tesla K80 (CNMeM is disabled, cuDNN 5110)
2017-11-28 18:30:00,984 INFO Serialize OSM subset
2017-11-28 18:30:00,984 INFO Loading raster...
Traceback (most recent call last):
File "v16.py", line 1772, in
cli()
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 722, in call
return self.main(*args, **kwargs)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 697, in main
rv = self.invoke(ctx)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 1066, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 895, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/click/core.py", line 535, in invoke
return callback(*args, **kwargs)
File "v16.py", line 1725, in preproc_train
preproc_osm(area_id, datapath, is_train=True)
File "v16.py", line 1411, in preproc_osm
df = location_summary(area_id, datapath)
File "v16.py", line 1137, in location_summary
df_location.loc[:, 'xcenter'] = df_location.pos.apply(lambda x: x.xcenter)
File "/opt/conda/envs/py35/lib/python3.5/site-packages/pandas/core/generic.py", line 2744, in getattr
return object.getattribute(self, name)
AttributeError: 'DataFrame' object has no attribute 'pos'

TRAINING v9s model

Thanks

dlindenbaum · 2017-11-28T20:21:05Z

Ok it looks like is is having a problem with reading the labels csv using pandas.

Do you have a csv file in summaryData. you can check to see if it's located correctly.

do you have a file at /data/train/AOI_2_Vegas_Train/summaryData

eong93 · 2017-11-29T13:11:43Z

I don't any csv files nor do I have the summaryData subdirs in the AOI folders.

dlindenbaum · 2017-11-29T18:06:04Z

Hello,

The csv files that are stored in SummaryData were used as the training labels for the data. It looks like you may have to re-download the data. The solutions in this repository are designed to specifically use the SpaceNet data as packaged for the TopCoder competition.

See [SpaceNet Building Detector Round 2 on TopCoder] (https://community.topcoder.com/longcontest/?module=ViewProblemStatement&rd=16892&pm=14551) for more information about the contest and how to use the data.

There are instructions on how to download the data on that website.

For even more information on accessing the data from AWS please visit https://spacenetchallenge.github.io/

Thank you,
Dave

eong93 · 2017-11-30T14:23:52Z

Dave,

Thanks, I will try this

dannyjeck · 2018-05-18T20:58:39Z

The zip file isn't currently available for download but the directions should be able to be followed from there.

Rather than posting a large file to gihub (I assume file size is the issue), could you put it on s3? This would help avoid the relatively large costs of downloading the entire dataset and training from scratch. This might also fix #5 for many users who just want to replicate the results as well.

cploveflower · 2018-08-08T03:51:19Z

Hello,@eong93
how do you get the osmdata,is it convenient for you to tell me?

oblute · 2020-08-10T17:41:03Z

Still wondering here how one could get the osm data for training...the link to it is broken now.

Maxine3218 · 2021-03-22T07:30:23Z

Still wondering here how one could get the osm data for training...the link to it is broken now.

Found this website that also hosts OSM data, don't know if that'll be helpful...
https://www.interline.io/osm/extracts/

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Documentation #3

Documentation #3

eong93 commented Nov 22, 2017

dlindenbaum commented Nov 22, 2017

eong93 commented Nov 27, 2017

dlindenbaum commented Nov 27, 2017

eong93 commented Nov 28, 2017

dlindenbaum commented Nov 28, 2017

eong93 commented Nov 28, 2017

dlindenbaum commented Nov 28, 2017

eong93 commented Nov 29, 2017

dlindenbaum commented Nov 29, 2017

eong93 commented Nov 30, 2017

dannyjeck commented May 18, 2018

cploveflower commented Aug 8, 2018

oblute commented Aug 10, 2020

Maxine3218 commented Mar 22, 2021

Documentation #3

Documentation #3

Comments

eong93 commented Nov 22, 2017

dlindenbaum commented Nov 22, 2017

eong93 commented Nov 27, 2017

dlindenbaum commented Nov 27, 2017

eong93 commented Nov 28, 2017

dlindenbaum commented Nov 28, 2017

eong93 commented Nov 28, 2017

dlindenbaum commented Nov 28, 2017

eong93 commented Nov 29, 2017

dlindenbaum commented Nov 29, 2017

eong93 commented Nov 30, 2017

dannyjeck commented May 18, 2018

cploveflower commented Aug 8, 2018

oblute commented Aug 10, 2020

Maxine3218 commented Mar 22, 2021