3326e5fcae11a6723c0f6a8db0bf56c3a8d04eef,imgaug/augmenters/geometric.py,PiecewiseAffine,_augment_images,#PiecewiseAffine#Any#Any#Any#Any#,1813

Before Change

        result = images
        nb_images = len(images)

        rss = random_state.derive_rngs_(nb_images+5)

        // make sure to sample "order" here at the 3rd position to match the sampling steps
        // in _augment_heatmaps()
        nb_rows_samples = self.nb_rows.draw_samples((nb_images,), random_state=rss[-5])
        nb_cols_samples = self.nb_cols.draw_samples((nb_images,), random_state=rss[-4])
        order_samples = self.order.draw_samples((nb_images,), random_state=rss[-3])
        cval_samples = self.cval.draw_samples((nb_images,), random_state=rss[-2])
        mode_samples = self.mode.draw_samples((nb_images,), random_state=rss[-1])

        for i, image in enumerate(images):

After Change

        return nb_rows_samples, nb_cols_samples, order_samples, cval_samples, \
            mode_samples

    def _augment_images(self, images, random_state, parents, hooks):
        iadt.gate_dtypes(images,
                         allowed=["bool", "uint8", "uint16", "uint32", "int8", "int16", "int32",
                                  "float16", "float32", "float64"],
                         disallowed=["uint64", "uint128", "uint256", "int64", "int128", "int256",
                                     "float96", "float128", "float256"],
                         augmenter=self)

        result = images
        nb_images = len(images)

        nb_rows_samples, nb_cols_samples, order_samples, cval_samples, \
            mode_samples = self._draw_samples(nb_images, random_state)

        rss = random_state.duplicate(nb_images)

        for i, image in enumerate(images):

Instances