Could you provide files mentioned in settings.json? or How to generate them? Thanks!

[guyucowboy]

Hi, EliasVansteenkiste, Your work is great. Thanks for sharing！ I download this excellent project，and it seems that the code(make_final_split.py) could not run if some files could not find mentioned in pathfinder.py . For example, test_labels.csv, dsb_validation_split.pkl, final_split.pkl, validation_split.pkl, dsb_validation_lb_mixed_split.pkl, annotations_extended_mixed.csv. Could you provide them, or how can I generate them？ Thanks for your help in advance！ Gu Yu

[EliasVansteenkiste]

Hi guyucowboy, I committed the meta data files to the master branch. That should help you further. See commit 4489113a3a397ed85fe81a4d2d5252da6be1763a.

[guyucowboy]

Hi, EliasVansteenkiste, Thanks for your reply! Then, I use the command: python train_seg_patch.py luna_p8a1 I got an error at line:

iter_train = theano.function([idx], train_loss, givens=givens_train, updates=updates):

Traceback (most recent call last): File "D:\software\JetBrains\PyCharm 2017.1.1\helpers\pydev\pydevd.py", line 1578, in globals = debugger.run(setup['file'], None, None, is_module) File "D:\software\JetBrains\PyCharm 2017.1.1\helpers\pydev\pydevd.py", line 1015, in run pydev_imports.execfile(file, globals, locals) # execute the script File "D:\software\JetBrains\PyCharm 2017.1.1\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "G:/pythonproject/pycharm/kaggle/EliasVansteenkiste-dsb3-master/dsb3-master/train_seg_patch.py", line 83, in iter_train = theano.function([idx], train_loss, givens=givens_train, updates=updates) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\function.py", line 326, in function output_keys=output_keys) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 449, in pfunc no_default_updates=no_default_updates) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 219, in rebuild_collect_shared cloned_v = clone_v_get_shared_updates(v, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 93, in clone_v_get_shared_updates clone_v_get_shared_updates(i, copy_inputs_over) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\compile\pfunc.py", line 96, in clone_v_get_shared_updates [clone_d[i] for i in owner.inputs], strict=rebuild_strict) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\gof\graph.py", line 238, in clone_with_new_inputs new_inputs[i] = curr.type.filter_variable(new) File "D:\software\Anaconda3\envs\lungSegCondaEnvX\lib\site-packages\theano\tensor\type.py", line 235, in filter_variable self=self)) TypeError: Cannot convert Type TensorType(float32, 5D) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float32, (False, True, False, False, False)). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(float32, (False, True, False, False, False)).

I do not know how to fix it. I use python3(I change the code alittle to python3 ), theano 0.9, Lasagne-0.2.dev1. Thanks again for your help!

[guyucowboy]

Hi, EliasVansteenkiste, what is the version of the theano and lasagne? Thanks!