TypeError: a bytes-like object is required, not 'NoneType' (dataloader_iam.py line 119) about simplehtr HOT 4 CLOSED

I managed to get the correct versions by creating a new conda environment and just doing pip install -r requirements.txt, but I still get exactly the same dataloader error.

from simplehtr.

Hi, you're using the --fast option which expects a "pickled" dataset. Try without this option, then the images should be loaded separately from disk.

from simplehtr.

Hi
I did conda run -n simplehtr1 python create_lmdb.py --data_dir "${training_directory}" first (where $training_directory is the one containing gt/words.txt and img). I thought that should allow --fast to work?

(Anyway, I'm getting another error further along without --fast but I'll see what I can do with it.)

Thanks
Adam

from simplehtr.

check if the lmdb was actually created: in the IAM dataset folder there are the subfolders gt, img and lmdb, and lmdb should contain a (quite large) data.mdb file.

Further, it might be due to broken images, as OpenCV loads broken images as None (instead of throwing an exception).
In create_lmdb.py you can put an assert img is not None after the cv2.imread to check if this is the case.

from simplehtr.