Overhauled Deployment Structure
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104
Data/Server/Python_API_Endpoints/ocr_engines.py
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104
Data/Server/Python_API_Endpoints/ocr_engines.py
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#////////// PROJECT FILE SEPARATION LINE ////////// CODE AFTER THIS LINE ARE FROM: <ProjectRoot>/Data/Python_API_Endpoints/ocr_engines.py
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import os
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import io
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import sys
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import base64
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import torch
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import pytesseract
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import easyocr
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import numpy as np
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import platform
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from PIL import Image
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# ---------------------------------------------------------------------
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# Configure cross-platform Tesseract path
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# ---------------------------------------------------------------------
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SYSTEM = platform.system()
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def get_tesseract_folder():
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if getattr(sys, 'frozen', False):
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# PyInstaller EXE
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base_path = sys._MEIPASS
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return os.path.join(base_path, "Borealis", "Python_API_Endpoints", "Tesseract-OCR")
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else:
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# Normal Python environment
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base_dir = os.path.dirname(os.path.abspath(__file__))
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return os.path.join(base_dir, "Tesseract-OCR")
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if SYSTEM == "Windows":
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TESSERACT_FOLDER = get_tesseract_folder()
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TESSERACT_EXE = os.path.join(TESSERACT_FOLDER, "tesseract.exe")
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TESSDATA_DIR = os.path.join(TESSERACT_FOLDER, "tessdata")
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if not os.path.isfile(TESSERACT_EXE):
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raise EnvironmentError(f"Missing tesseract.exe at expected path: {TESSERACT_EXE}")
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pytesseract.pytesseract.tesseract_cmd = TESSERACT_EXE
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os.environ["TESSDATA_PREFIX"] = TESSDATA_DIR
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else:
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# Assume Linux/macOS with system-installed Tesseract
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pytesseract.pytesseract.tesseract_cmd = "tesseract"
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# ---------------------------------------------------------------------
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# EasyOCR Global Instances
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# ---------------------------------------------------------------------
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easyocr_reader_cpu = None
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easyocr_reader_gpu = None
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def initialize_ocr_engines():
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global easyocr_reader_cpu, easyocr_reader_gpu
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if easyocr_reader_cpu is None:
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easyocr_reader_cpu = easyocr.Reader(['en'], gpu=False)
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if easyocr_reader_gpu is None:
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easyocr_reader_gpu = easyocr.Reader(['en'], gpu=torch.cuda.is_available())
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# ---------------------------------------------------------------------
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# Main OCR Handler
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# ---------------------------------------------------------------------
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def run_ocr_on_base64(image_b64: str, engine: str = "tesseract", backend: str = "cpu") -> list[str]:
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if not image_b64:
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raise ValueError("No base64 image data provided.")
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try:
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raw_bytes = base64.b64decode(image_b64)
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image = Image.open(io.BytesIO(raw_bytes)).convert("RGB")
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except Exception as e:
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raise ValueError(f"Invalid base64 image input: {e}")
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engine = engine.lower().strip()
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backend = backend.lower().strip()
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if engine in ["tesseract", "tesseractocr"]:
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try:
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text = pytesseract.image_to_string(image, config="--psm 6 --oem 1")
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except pytesseract.TesseractNotFoundError:
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raise RuntimeError("Tesseract binary not found or not available on this platform.")
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elif engine == "easyocr":
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initialize_ocr_engines()
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reader = easyocr_reader_gpu if backend == "gpu" else easyocr_reader_cpu
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result = reader.readtext(np.array(image), detail=1)
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# Group by Y position (line-aware sorting)
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result = sorted(result, key=lambda r: r[0][0][1])
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lines = []
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current_line = []
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last_y = None
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line_threshold = 10
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for (bbox, text, _) in result:
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y = bbox[0][1]
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if last_y is None or abs(y - last_y) < line_threshold:
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current_line.append(text)
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else:
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lines.append(" ".join(current_line))
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current_line = [text]
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last_y = y
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if current_line:
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lines.append(" ".join(current_line))
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text = "\n".join(lines)
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else:
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raise ValueError(f"OCR engine '{engine}' not recognized.")
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return [line.strip() for line in text.splitlines() if line.strip()]
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