Jyothish Chandrasenan
Jyothish Chandrasenan
I have used the following code for the inference on "demo_text_ocr.jpg" file It is loading PANET(detection) and SEGOCR(Recognition). from mmocr.utils.ocr import MMOCR ocr = MMOCR() results = ocr.readtext('demo/demo_text_ocr.jpg', print_result=True,details=True, imshow=False)...
Team, is this in consideration for the next release ?
Thanks for adding this dataset for the purpose of training... Shall we also expect a model checkpoint particularly trained based on this dateset from the team..
https://mmocr.readthedocs.io/en/latest/textdet_models.html#icdar2015  Is it possible to update the DBNet model zoo with the details of your model training and the metric levels for TextOCR dataset ..
you may please upgrade the gdown version to 4.4.0 in the requirements.txt file.