来自雪域高原的馈赠——大凉山高原生态糖心苹果

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1.知乎： 

来自雪域高原的馈赠——大凉山高原生态糖心苹果，欢迎选购https://zhuanlan.zhihu.com/p/548448382

2.CSDN：

来自雪域高原的馈赠——大凉山高原生态糖心苹果，欢迎选购https://geo-ai.blog.csdn.net/article/details/126107374

纯天然，无公害，欢迎大家选购，有任何问题直接私聊我！！

    def _augment_images(self, images, random_state, parents, hooks):
        result = images
        nb_images = len(images)
        alphas = self.alpha.draw_samples((nb_images,), random_state=ia.copy_random_state(random_state))
        to_colorspaces = self.to_colorspace.draw_samples((nb_images,), random_state=ia.copy_random_state(random_state))
        for i in sm.xrange(nb_images):
            alpha = alphas[i]
            to_colorspace = to_colorspaces[i]
            image = images[i]

            assert 0.0 <= alpha <= 1.0
            assert to_colorspace in ChangeColorspace.COLORSPACES

            if alpha == 0 or self.from_colorspace == to_colorspace:
                pass # no change necessary
            else:
                # some colorspaces here should use image/255.0 according to the docs,
                # but at least for conversion to grayscale that results in errors,
                # ie uint8 is expected

                if self.from_colorspace in [ChangeColorspace.RGB, ChangeColorspace.BGR]:
                    from_to_var_name = "%s2%s" % (self.from_colorspace, to_colorspace)
                    from_to_var = ChangeColorspace.CV_VARS[from_to_var_name]
                    img_to_cs = cv2.cvtColor(image, from_to_var)
                else:
                    # convert to RGB
                    from_to_var_name = "%s2%s" % (self.from_colorspace, ChangeColorspace.RGB)
                    from_to_var = ChangeColorspace.CV_VARS[from_to_var_name]
                    img_rgb = cv2.cvtColor(image, from_to_var)

                    if to_colorspace == ChangeColorspace.RGB:
                        img_to_cs = img_rgb
                    else:
                        # convert from RGB to desired target colorspace
                        from_to_var_name = "%s2%s" % (ChangeColorspace.RGB, to_colorspace)
                        from_to_var = ChangeColorspace.CV_VARS[from_to_var_name]
                        img_to_cs = cv2.cvtColor(img_rgb, from_to_var)

                # this will break colorspaces that have values outside 0-255 or 0.0-1.0
                if ia.is_integer_array(img_to_cs):
                    img_to_cs = np.clip(img_to_cs, 0, 255).astype(np.uint8)
                else:
                    img_to_cs = np.clip(img_to_cs * 255, 0, 255).astype(np.uint8)

                # for grayscale: covnert from (H, W) to (H, W, 3)
                if len(img_to_cs.shape) == 2:
                    img_to_cs = img_to_cs[:, :, np.newaxis]
                    img_to_cs = np.tile(img_to_cs, (1, 1, 3))

                if alpha >= (1 - self.eps):
                    result[i] = img_to_cs
                elif alpha <= self.eps:
                    result[i] = image
                else:
                    result[i] = (alpha * img_to_cs + (1 - alpha) * image).astype(np.uint8)

        return images