ocr/ppocr/data/imaug/ssl_img_aug.py

import cv2
import numpy as np

from .rec_img_aug import resize_norm_img


class SSLRotateResize(object):
    def __init__(
        self, image_shape, padding=False, select_all=True, mode="train", **kwargs
    ):
        self.image_shape = image_shape
        self.padding = padding
        self.select_all = select_all
        self.mode = mode

    def __call__(self, data):
        img = data["image"]

        data["image_r90"] = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
        data["image_r180"] = cv2.rotate(data["image_r90"], cv2.ROTATE_90_CLOCKWISE)
        data["image_r270"] = cv2.rotate(data["image_r180"], cv2.ROTATE_90_CLOCKWISE)

        images = []
        for key in ["image", "image_r90", "image_r180", "image_r270"]:
            images.append(
                resize_norm_img(
                    data.pop(key), image_shape=self.image_shape, padding=self.padding
                )[0]
            )
        data["image"] = np.stack(images, axis=0)
        data["label"] = np.array(list(range(4)))
        if not self.select_all:
            data["image"] = data["image"][0::2]  # just choose 0 and 180
            data["label"] = data["label"][0:2]  # label needs to be continuous
        if self.mode == "test":
            data["image"] = data["image"][0]
            data["label"] = data["label"][0]
        return data