PaddleX/paddlex/inference/pipelines/components/common/warp_image.py

# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np

from .....utils.deps import function_requires_deps, is_dep_available

if is_dep_available("opencv-contrib-python"):
    import cv2


@function_requires_deps("opencv-contrib-python")
def rotate_image(image, angle):
    if angle < 0 or angle >= 360:
        raise ValueError("`angle` should be in range [0, 360)")

    if angle < 1e-7:
        return image

    # Should we align corners?
    h, w = image.shape[:2]
    center = (w / 2, h / 2)
    scale = 1.0
    mat = cv2.getRotationMatrix2D(center, angle, scale)
    cos = np.abs(mat[0, 0])
    sin = np.abs(mat[0, 1])
    new_w = int((h * sin) + (w * cos))
    new_h = int((h * cos) + (w * sin))
    mat[0, 2] += (new_w - w) / 2
    mat[1, 2] += (new_h - h) / 2
    dst_size = (new_w, new_h)

    rotated = cv2.warpAffine(
        image,
        mat,
        dst_size,
        flags=cv2.INTER_CUBIC,
    )
    return rotated