99d24ca854659043651cc1ca4e83a3621deffd2d,nilearn/plotting/img_plotting.py,,_load_anat,#Any#Any#Any#,263

Before Change

                // Guess if the background is rather black or light based on
                // the values of voxels near the border
                border_size = 2
                border_data = np.concatenate([
                        data[:border_size, :, :].ravel(),
                        data[-border_size:, :, :].ravel(),
                        data[:, :border_size, :].ravel(),
                        data[:, -border_size:, :].ravel(),
                        data[:, :, :border_size].ravel(),
                        data[:, :, -border_size:].ravel(),
                    ])
                background = np.median(border_data)
                if background > .5 * (vmin + vmax):
                    black_bg = False
                else:

After Change

        if black_bg == "auto":
            // Guess if the background is rather black or light based on
            // the values of voxels near the border
            background = np.median(get_border_data(data, 2))
            if background > .5 * (vmin + vmax):
                black_bg = False
            else:
                black_bg = True

Instances