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require(esm) Backported to Node.js 20, Paving the Way for ESM-Only Packages
require(esm) backported to Node.js 20, easing the transition to ESM-only packages and reducing complexity for developers as Node 18 nears end-of-life.
pip install paddleocr_convert
$ paddleocr_convert -h
usage: paddleocr_convert [-h] [-p MODEL_PATH] [-o SAVE_DIR]
[-txt_path TXT_PATH]
optional arguments:
-h, --help show this help message and exit
-p MODEL_PATH, --model_path MODEL_PATH
The inference model url or local path of paddleocr.
e.g. https://paddleocr.bj.bcebos.com/PP-
OCRv3/chinese/ch_PP-OCRv3_det_infer.tar or
models/ch_PP-OCRv3_det_infer.tar
-o SAVE_DIR, --save_dir SAVE_DIR
The directory of saving the model.
-txt_path TXT_PATH, --txt_path TXT_PATH
The raw txt url or local txt path, if the model is
recognition model.
# online
$ paddleocr_convert -p https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar \
-o models
$ paddleocr_convert -p https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar \
-o models \
-txt_path https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppocr/utils/ppocr_keys_v1.txt
# offline
$ paddleocr_convert -p models/ch_PP-OCRv3_det_infer.tar \
-o models
$ paddleocr_convert -p models/ch_PP-OCRv3_rec_infer.tar \
-o models \
-txt_path models/ppocr_keys_v1.txt
from paddleocr_convert import PaddleOCRModelConvert
converter = PaddleOCRModelConvert()
save_dir = 'models'
url = 'https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar'
txt_url = 'https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppocr/utils/ppocr_keys_v1.txt'
converter(url, save_dir, txt_path=txt_url)
from paddleocr_convert import PaddleOCRModelConvert
converter = PaddleOCRModelConvert()
save_dir = 'models'
model_path = 'models/ch_PP-OCRv3_rec_infer.tar'
txt_path = 'models/ppocr_keys_v1.txt'
converter(model_path, save_dir, txt_path=txt_path)
FAQs
Tool for converting the PaddleOCR model to onnx format.
We found that paddleocr-convert demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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