from onnxocr.onnx_paddleocr import ONNXPaddleOcr def sample(): ocr = ONNXPaddleOcr(use_gpu=False, lang="japan") result = ocr.ocr("sample.png") for data in result: for box, (text, score) in data: print(f"text: {text}, score: {score}") ONNXã¨ã¯ OnnxOCRãç´¹ä»ããä¸ã§ONNXã¨ã¯ä½ããã¨ãããã¨ã軽ã解説ãã¾ãã ONNXï¼Open Neural Network Exchangeï¼ã¨ã¯ãæ©æ¢°å¦ç¿ã¢ãã«ãç°ãªããã¬ã¼ã ã¯ã¼ã¯éã§å ±æã»éç¨ããããã®ãªã¼ãã³ãªãã©ã¼ãããã§ãã ãã®ãã©ã¼ãããã«å¾ããã¨ã§ãPyTorchãTensorFlowãSciki


{{#tags}}- {{label}}
{{/tags}}