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Hi Everyone,
I am trying to do the State Farm Distracted Driver Detection Kaggle competition (https://www.kaggle.com/c/state-farm-distracted-driver-detection). I searched the forum, but couldn’t find an answer for my issue.
The train data is split by subfolders so I could use ImageDataBunch.from_folder.
The test data is split by csv, so I could use ImageDataBunch.from_csv.
However, I am trying to figure out how to combine these two methods into one ImageDataBunch?
Any help would be appreciated. I apologize in advance if the above is a stupid question.
Cheers
3301x
sayakgis
(Sayak Chakraborty)
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Hope this works:
src=(ImageList.from_folder(…)
.split_by_rand_pct()
.label_from_folder())
for test images use “add_test” method src. add_test(ImageList.from_csv() ).
Make a databunch after this.
ste
(Stefano Giomo)
3
I’ve published a starter code for that competition if you want to take a look:
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Hi
Sayakgis and Stefan. I just wanted to thank you both for helping me out. In particular, Stefan your notebook was fantastic.
Cheers
3301x