step2_train_nodule_detector.py ValueError: output of generator should be a tuple about kaggle_ndsb2017 HOT 6 OPEN

I cannot run the debugger but do you have traindata in place ?

from kaggle_ndsb2017.

Thanks.I just place wrong place. Besides why file trained_model.rar cannot download ?

from kaggle_ndsb2017.

Please try again..
It seems to work now.
https://retinopaty.blob.core.windows.net/ndsb3/trained_models.rar

from kaggle_ndsb2017.

I cannot run the debugger but do you have the trained model in place ?

from kaggle_ndsb2017.

In step4_train_submissions , variable 'extension' is assigned at this:
for extension in extensions:
src_dir = settings.NDSB3_NODULE_DETECTION_DIR + "predictions" + str(int(magnification * 10)) + extension + "/"
pred_nodules_df = pandas.read_csv(src_dir + patient_id + ".csv")
pred_nodules_df = pred_nodules_df[pred_nodules_df["diameter_mm"] > 0]
pred_nodules_df = pred_nodules_df[pred_nodules_df["nodule_chance"] > nodule_th]
pred_df_list.append(pred_nodules_df)

Traceback (most recent call last):
File "D:/Python/code/Kaggle/Bowl2017/step4_train_submissions.py", line 397, in
combine_nodule_predictions(None, train_set=False, nodule_th=0.7, extensions=[model_variant])
File "D:/Python/code/Kaggle/Bowl2017/step4_train_submissions.py", line 130, in combine_nodule_predictions
target_path = settings.BASE_DIR + "xgboost_trainsets/" "train" + extension + ".csv" if train_set else settings.BASE_DIR + "xgboost_trainsets/" + "submission" + extension + ".csv"
UnboundLocalError: local variable 'extension' referenced before assignment

from kaggle_ndsb2017.

dicom raw data must have to include stage2 with this code ?
I find you use file combine_nodule_predictions.csv in function 'combine_nodule_predictions'?

from kaggle_ndsb2017.