predict: p2t predict -l en,ch_sim -a mfd -t yolov7_tiny -i docs/examples/mixed.jpg --save-analysis-res tmp-output.jpg # p2t predict -l en,ch_sim --text-ocr-config '{"rec_model_name": "doc-densenet_lite_666-gru_large"}' \ # --use-analyzer -a mfd -t yolov7 --resized-shape 768 \ # --analyzer-model-fp ~/.cnstd/1.2/analysis/mfd-yolov7-epoch224-20230613.pt \ # --latex-ocr-model-fp ~/.pix2text/formula/p2t-mfr-20230702.pth \ # -i docs/examples/mixed.jpg --save-analysis-res tmp-output.jpg # p2t predict -l vi \ # --use-analyzer -a mfd -t yolov7 --resized-shape 768 \ # --analyzer-model-fp ~/.cnstd/1.2/analysis/mfd-yolov7-epoch224-20230613.pt \ # --latex-ocr-model-fp ~/.pix2text/formula/p2t-mfr-20230702.pth \ # -i docs/examples/vietnamese.jpg --save-analysis-res tmp-output.jpg # p2t predict -l en,ch_tra \ # --use-analyzer -a mfd -t yolov7 --resized-shape 768 \ # --analyzer-model-fp ~/.cnstd/1.2/analysis/mfd-yolov7-epoch224-20230613.pt \ # --latex-ocr-model-fp ~/.pix2text/formula/p2t-mfr-20230702.pth --rec-kwargs '{"det_bbox_max_expand_ratio": 0}'\ # -i docs/examples/ch_tra7.jpg --save-analysis-res tmp-output.jpg evaluate-mfr: p2t evaluate -l en,ch_sim --mfd-config '{"model_name": "mfd"}' \ --formula-ocr-config '{"model_name":"mfr-1.5","model_backend":"onnx"}' \ --text-ocr-config '{"rec_model_name": "doc-densenet_lite_666-gru_large"}' \ --resized-shape 768 --auto-line-break --file-type formula \ --max-samples 50 --prefix-img-dir data \ -i data/exported_call_events_with_images.json -o data/exported_cer_mfr1.0.json \ --output-excel data/exported_cer_mfr1.0.xls --output-html data/exported_cer_mfr1.0.html package: rm -rf build python setup.py sdist bdist_wheel VERSION := $(shell sed -n "s/^__version__ = '\(.*\)'/\1/p" pix2text/__version__.py) upload: python -m twine upload dist/pix2text-$(VERSION)* --verbose # 开启 OCR HTTP 服务 serve: p2t serve -l en,ch_sim -a mfd -t yolov7 --analyzer-model-fp ~/.cnstd/1.2/analysis/mfd-yolov7-epoch224-20230613.pt --formula-ocr-config '{"model_name":"mfr-pro-1.5","model_backend":"onnx"}' --text-ocr-config '{"rec_model_name": "doc-densenet_lite_666-gru_large"}' docker-build: docker build -t breezedeus/pix2text:v$(VERSION) . .PHONY: package upload serve daemon