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import cv2 |
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import numpy as np |
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import pytesseract |
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import platform |
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from PIL import Image |
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from deskew import determine_skew |
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from shutil import which |
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import os |
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def _configure_tesseract_path(): |
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current_os = platform.system() |
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if current_os == "Windows": |
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win_path = r"C:\Users\Wissen\AppData\Local\Programs\Tesseract-OCR\tesseract.exe" |
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if os.path.exists(win_path): |
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pytesseract.pytesseract.tesseract_cmd = win_path |
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else: |
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raise FileNotFoundError("Tesseract not found at expected Windows path.") |
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else: |
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if which("tesseract") is None: |
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raise EnvironmentError("Tesseract not found in PATH. Install using: sudo apt install tesseract-ocr") |
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_configure_tesseract_path() |
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def _get_rotation_angle(image: np.ndarray) -> int: |
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try: |
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rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) |
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pil_image = Image.fromarray(rgb_image) |
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osd = pytesseract.image_to_osd(pil_image) |
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for line in osd.split('\n'): |
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if 'Rotate:' in line: |
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return int(line.split(":")[1].strip()) |
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except Exception as e: |
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print("Tesseract OSD failed:", e) |
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return 0 |
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def _rotate_image(image: np.ndarray, angle: int) -> np.ndarray: |
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if angle == 0: |
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return image |
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(h, w) = image.shape[:2] |
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center = (w // 2, h // 2) |
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matrix = cv2.getRotationMatrix2D(center, -angle, 1.0) |
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cos = np.abs(matrix[0, 0]) |
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sin = np.abs(matrix[0, 1]) |
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new_w = int((h * sin) + (w * cos)) |
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new_h = int((h * cos) + (w * sin)) |
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matrix[0, 2] += (new_w / 2) - center[0] |
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matrix[1, 2] += (new_h / 2) - center[1] |
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return cv2.warpAffine(image, matrix, (new_w, new_h), |
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flags=cv2.INTER_CUBIC, |
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borderMode=cv2.BORDER_REPLICATE) |
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def _deskew_image(image: np.ndarray, max_skew: float = 90.0) -> np.ndarray: |
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) if len(image.shape) == 3 else image |
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_, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) |
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binary = cv2.bitwise_not(binary) |
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angle = determine_skew(binary) |
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if abs(angle) > max_skew: |
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raise ValueError(f"Detected skew angle {angle:.2f}° exceeds max_skew limit of {max_skew}°.") |
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(h, w) = image.shape[:2] |
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center = (w // 2, h // 2) |
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matrix = cv2.getRotationMatrix2D(center, angle, 1.0) |
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cos = np.abs(matrix[0, 0]) |
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sin = np.abs(matrix[0, 1]) |
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new_w = int((h * sin) + (w * cos)) |
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new_h = int((h * cos) + (w * sin)) |
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matrix[0, 2] += (new_w / 2) - center[0] |
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matrix[1, 2] += (new_h / 2) - center[1] |
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return cv2.warpAffine(image, matrix, (new_w, new_h), |
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flags=cv2.INTER_LINEAR, |
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borderMode=cv2.BORDER_REPLICATE) |
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def fix_orientation_and_deskew(image: np.ndarray, max_skew: float = 90.0) -> np.ndarray: |
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angle = _get_rotation_angle(image) |
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rotated = _rotate_image(image, angle) |
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deskewed = _deskew_image(rotated, max_skew=max_skew) |
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return deskewed |
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if __name__ == "__main__": |
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img_path = r"C:\Users\Wissen\Downloads\image (3).png" |
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img = cv2.imread(img_path) |
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if img is None: |
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raise FileNotFoundError(f"Image not found at path: {img_path}") |
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out_img = fix_orientation_and_deskew(img) |
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cv2.imwrite("out_img_fixed.png", out_img) |
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print("Image processing complete. Saved as 'out_img_fixed.png'.") |
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import subprocess |
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cert_file = "certis3.crt" |
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try: |
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result = subprocess.run( |
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["openssl", "x509", "-in", cert_file, "-text", "-noout"], |
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capture_output=True, |
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text=True, |
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check=True |
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) |
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print("Certificate Details:\n") |
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print(result.stdout) |
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except subprocess.CalledProcessError as e: |
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print("Error running openssl command:") |
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print(e.stderr) |
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except FileNotFoundError: |
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print("OpenSSL executable not found. Ensure it's installed and in PATH.") |
