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OCR FONT IMAGE INSTALL
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Paddleocr -image_dir PaddleOCR/doc/imgs_en/img_12.jpg -rec false Output will be a list, each item contains text and recognition confidence Paddleocr -image_dir PaddleOCR/doc/imgs_words_en/word_10.png -use_angle_cls true -det false -lang en Paddleocr -image_dir PaddleOCR/doc/imgs_en/img_12.jpg -lang en

Paddleocr -image_dir PaddleOCR/doc/imgs_en/img_12.jpg -use_angle_cls true -lang en

detection classification and recognition.

Output will be a list, each item contains classification result and confidence 2.2 Use by command line ocr ( img_path, det = False, rec = False, cls = True ) for line in result : print ( line ) ocr ( img_path, det = False, cls = False ) for line in result : print ( line )įrom paddleocr import PaddleOCR ocr = PaddleOCR ( use_angle_cls = True ) # need to run only once to load model into memory img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png' result = ocr. Output will be a list, each item only contains bounding box, ,, ], ,, ], ,, ]įrom paddleocr import PaddleOCR ocr = PaddleOCR ( lang = 'en' ) # need to run only once to load model into memory img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png' result = ocr. convert ( 'RGB' ) im_show = draw_ocr ( image, result, txts = None, scores = None, font_path = '/path/to/PaddleOCR/doc/fonts/simfang.ttf' ) im_show = Image. ocr ( img_path, rec = False ) for line in result : print ( line ) # draw result from PIL import Image image = Image.

OCR FONT IMAGE DOWNLOAD

Output will be a list, each item contains recognition text and confidence įrom paddleocr import PaddleOCR, draw_ocr ocr = PaddleOCR () # need to run only once to download and load model into memory img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg' result = ocr. ocr ( img_path, det = False, cls = True ) for line in result : print ( line ) save ( 'result.jpg' )įrom paddleocr import PaddleOCR ocr = PaddleOCR ( use_angle_cls = True, lang = 'en' ) # need to run only once to load model into memory img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png' result = ocr. convert ( 'RGB' ) boxes = for line in result ] txts = for line in result ] scores = for line in result ] im_show = draw_ocr ( image, boxes, txts, scores, font_path = '/path/to/PaddleOCR/doc/fonts/simfang.ttf' ) im_show = Image. ocr ( img_path, cls = False ) for line in result : print ( line ) # draw result from PIL import Image image = Image. Output will be a list, each item contains bounding box, text and recognition confidence, ,, ], ], ,, ], ], ,, ], ]įrom paddleocr import PaddleOCR, draw_ocr ocr = PaddleOCR ( lang = 'en' ) # need to run only once to download and load model into memory img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg' result = ocr.

ocr ( img_path, cls = True ) for line in result : print ( line ) # draw result from PIL import Image image = Image. ocr = PaddleOCR ( use_angle_cls = True, lang = 'en' ) # need to run only once to download and load model into memory img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg' result = ocr. # You can set the parameter `lang` as `ch`, `en`, `french`, `german`, `korean`, `japan` # to switch the language model in order.

detection angle classification and recognitionįrom paddleocr import PaddleOCR, draw_ocr # Paddleocr supports Chinese, English, French, German, Korean and Japanese.

The paddleocr whl package will automatically download the ppocr lightweight model as the default model, which can be customized and replaced according to the section 3 Custom Model.

OCR FONT IMAGE INSTALL

Pip3 install dist/paddleocr-x.x.x-p圓-none-any.whl # x.x.x is the version of paddleocr 2 Use 2.1 Use by code Install by pypi pip install "paddleocr>=2.0.1" # Recommend to use version 2.0.1+īuild own whl package and install python3 setup.py bdist_wheel

Paddleocr Package 1 Get started quickly 1.1 install package