to build locally after cloning
pip install comics-ocr[cuda] -f https://download.pytorch.org/whl/torch_stable.html
or
pip install comics-ocr[cpu]
You can get the necessary model checkpoints and configs from COMICS TEXT+ repository.
Usage
# Import library
from comics_ocr import ComicsOCR
# initalize the model
e2e_ocr_model = ComicsOCR(
ocr_detector_config="fcenet_r50dcnv2_fpn_1500e_ctw1500_custom/fcenet_r50dcnv2_fpn_1500e_ctw1500_custom.py",
ocr_detector_checkpoint='fcenet_r50dcnv2_fpn_1500e_ctw1500_custom/best_0_hmean-iou:hmean_epoch_5.pth',
recog_config='master_custom_dataset.py',
ocr_recognition_checkpoint='best_0_1-N.E.D_epoch_4.pth',
det='FCE_CTW_DCNv2',
recog='MASTER')
# Run the model
img_path = "speech_bubble/0/3/9.jpg"
text, preprocessed_text, sanitized_text = e2e_ocr_model.extract_text(img_path)
1 maintainer
Metadata
1 maintainer
Release files for comics-ocr 0.1.2
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Total release size: 1.1 MB
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