Upload rotation_utils.py with huggingface_hub
Browse files- rotation_utils.py +71 -0
rotation_utils.py
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Rotation utilities that preserve image content without artificial borders."""
|
| 2 |
+
|
| 3 |
+
import cv2
|
| 4 |
+
import numpy as np
|
| 5 |
+
import math
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def rotate_image(img, angle, rotation_center=None, expand=False, border_mode=cv2.BORDER_CONSTANT, border_value=0):
|
| 9 |
+
"""Rotates an image (angle in degrees) and optionally expands to avoid cropping."""
|
| 10 |
+
h, w = img.shape[:2]
|
| 11 |
+
if rotation_center is None:
|
| 12 |
+
rotation_center = (w/2, h/2)
|
| 13 |
+
|
| 14 |
+
M = cv2.getRotationMatrix2D(rotation_center, angle, 1.0)
|
| 15 |
+
|
| 16 |
+
if expand:
|
| 17 |
+
abs_cos = abs(M[0, 0])
|
| 18 |
+
abs_sin = abs(M[0, 1])
|
| 19 |
+
wn = int(h * abs_sin + w * abs_cos)
|
| 20 |
+
hn = int(h * abs_cos + w * abs_sin)
|
| 21 |
+
M[0, 2] += wn/2 - rotation_center[0]
|
| 22 |
+
M[1, 2] += hn/2 - rotation_center[1]
|
| 23 |
+
else:
|
| 24 |
+
wn, hn = w, h
|
| 25 |
+
|
| 26 |
+
rotated = cv2.warpAffine(
|
| 27 |
+
img, M, (wn, hn), borderMode=border_mode, borderValue=border_value)
|
| 28 |
+
|
| 29 |
+
return rotated, M
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
def largest_rotated_rect(w, h, angle):
|
| 33 |
+
"""Compute the largest axis-aligned rectangle within a rotated rectangle."""
|
| 34 |
+
if w <= 0 or h <= 0:
|
| 35 |
+
return 0, 0
|
| 36 |
+
|
| 37 |
+
width_is_longer = w >= h
|
| 38 |
+
side_long, side_short = (w, h) if width_is_longer else (h, w)
|
| 39 |
+
|
| 40 |
+
sin_a, cos_a = abs(math.sin(angle)), abs(math.cos(angle))
|
| 41 |
+
if side_short <= 2.*sin_a*cos_a*side_long or abs(sin_a-cos_a) < 1e-10:
|
| 42 |
+
x = 0.5*side_short
|
| 43 |
+
wr, hr = (x/sin_a, x/cos_a) if width_is_longer else (x/cos_a, x/sin_a)
|
| 44 |
+
else:
|
| 45 |
+
cos_2a = cos_a*cos_a - sin_a*sin_a
|
| 46 |
+
wr, hr = (w*cos_a - h*sin_a)/cos_2a, (h*cos_a - w*sin_a)/cos_2a
|
| 47 |
+
|
| 48 |
+
return wr, hr
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
def rotate_image_crop_max_area(image, angle):
|
| 52 |
+
"""Rotate image and crop to the largest inscribed rectangle (no borders).
|
| 53 |
+
|
| 54 |
+
Args:
|
| 55 |
+
image: numpy array (OpenCV image)
|
| 56 |
+
angle: Rotation angle in degrees
|
| 57 |
+
|
| 58 |
+
Returns:
|
| 59 |
+
Rotated and cropped numpy array
|
| 60 |
+
"""
|
| 61 |
+
h, w = image.shape[:2]
|
| 62 |
+
rotated, _ = rotate_image(image, angle, expand=True)
|
| 63 |
+
wr, hr = largest_rotated_rect(w, h, math.radians(angle))
|
| 64 |
+
|
| 65 |
+
h_rot, w_rot = rotated.shape[:2]
|
| 66 |
+
y1 = h_rot//2 - int(hr/2)
|
| 67 |
+
y2 = y1 + int(hr)
|
| 68 |
+
x1 = w_rot//2 - int(wr/2)
|
| 69 |
+
x2 = x1 + int(wr)
|
| 70 |
+
|
| 71 |
+
return rotated[y1:y2, x1:x2]
|