"""Rotation utilities that preserve image content without artificial borders.""" import cv2 import numpy as np import math def rotate_image(img, angle, rotation_center=None, expand=False, border_mode=cv2.BORDER_CONSTANT, border_value=0): """Rotates an image (angle in degrees) and optionally expands to avoid cropping.""" h, w = img.shape[:2] if rotation_center is None: rotation_center = (w/2, h/2) M = cv2.getRotationMatrix2D(rotation_center, angle, 1.0) if expand: abs_cos = abs(M[0, 0]) abs_sin = abs(M[0, 1]) wn = int(h * abs_sin + w * abs_cos) hn = int(h * abs_cos + w * abs_sin) M[0, 2] += wn/2 - rotation_center[0] M[1, 2] += hn/2 - rotation_center[1] else: wn, hn = w, h rotated = cv2.warpAffine( img, M, (wn, hn), borderMode=border_mode, borderValue=border_value) return rotated, M def largest_rotated_rect(w, h, angle): """Compute the largest axis-aligned rectangle within a rotated rectangle.""" if w <= 0 or h <= 0: return 0, 0 width_is_longer = w >= h side_long, side_short = (w, h) if width_is_longer else (h, w) sin_a, cos_a = abs(math.sin(angle)), abs(math.cos(angle)) if side_short <= 2.*sin_a*cos_a*side_long or abs(sin_a-cos_a) < 1e-10: x = 0.5*side_short wr, hr = (x/sin_a, x/cos_a) if width_is_longer else (x/cos_a, x/sin_a) else: cos_2a = cos_a*cos_a - sin_a*sin_a wr, hr = (w*cos_a - h*sin_a)/cos_2a, (h*cos_a - w*sin_a)/cos_2a return wr, hr def rotate_image_crop_max_area(image, angle): """Rotate image and crop to the largest inscribed rectangle (no borders). Args: image: numpy array (OpenCV image) angle: Rotation angle in degrees Returns: Rotated and cropped numpy array """ h, w = image.shape[:2] rotated, _ = rotate_image(image, angle, expand=True) wr, hr = largest_rotated_rect(w, h, math.radians(angle)) h_rot, w_rot = rotated.shape[:2] y1 = h_rot//2 - int(hr/2) y2 = y1 + int(hr) x1 = w_rot//2 - int(wr/2) x2 = x1 + int(wr) return rotated[y1:y2, x1:x2]