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Hindi Language support not working

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
15/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python, pytorch
Domain
machine-learning

Research direction

The report concerns loading a custom Hindi vocab and a locally downloaded crnn_vgg16_bn checkpoint into the ocr_predictor pipeline, so the relevant code is the recognition model construction and state-dict loading in doctr's models package. Reproduce with a Hindi sample image and check whether the predictor output is empty because of the vocab mismatch or the detection step. Done would mean Hindi text is recognized from a documented setup; no comments or linked work exist, so the maintainers' stance is unknown.

Written by the indexing model from the issue text.

Description

from doctr.models import ocr_predictor, crnn_vgg16_bn, db_resnet50
from doctr.io import DocumentFile
from doctr.datasets import VOCABS

# Vocab copied from the indic-doctr repo
vocab = 'ॲऽऐथफएऎह८॥ॉम९ुँ१ं।षघठर॓ॼड़गछिॱटऩॄऑवल५ढ़य़अञसऔयण॑क़॒ौॽशऍ॰ूीऒॊख़उज़ॻॅ३ओऌळनॠ०ेढङ४़ॢग़पऊॐज२डैभझकआदबऋखॾ॔ोइ्धतफ़ईृःा६चऱऴ७-'
reco_model = crnn_vgg16_bn(pretrained=False, pretrained_backbone=False, vocab=vocab)
# Download: https://github.com/iitb-research-code/indic-doctr/releases/download/model2/crnn_vgg16_bn_hindi.pt
local_model_path = "crnn_vgg16_bn_hindi.pt"
reco_params = torch.load(local_model_path, map_location="cpu")
reco_model.load_state_dict(reco_params)

predictor = ocr_predictor(det_arch='db_resnet50',reco_arch=reco_model, pretrained=True)

single_img_doc = DocumentFile.from_images("0022-0024_3_5_2.jpg")
result = predictor(single_img_doc)
print(result.pages[0].export())  # print the result of the first page as a list of  #dicts```

I got an empty array with no output for a Hindi image. How to fix? Please help.

Originally posted by @manit2004 in #1617

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