diff options
| -rw-r--r-- | utils/tuning/libtuning/modules/lsc/__init__.py | 5 | ||||
| -rw-r--r-- | utils/tuning/libtuning/modules/lsc/lsc.py | 72 |
2 files changed, 77 insertions, 0 deletions
diff --git a/utils/tuning/libtuning/modules/lsc/__init__.py b/utils/tuning/libtuning/modules/lsc/__init__.py new file mode 100644 index 00000000..47d9b846 --- /dev/null +++ b/utils/tuning/libtuning/modules/lsc/__init__.py @@ -0,0 +1,5 @@ +# SPDX-License-Identifier: GPL-2.0-or-later +# +# Copyright (C) 2022, Paul Elder <paul.elder@ideasonboard.com> + +from libtuning.modules.lsc.lsc import LSC diff --git a/utils/tuning/libtuning/modules/lsc/lsc.py b/utils/tuning/libtuning/modules/lsc/lsc.py new file mode 100644 index 00000000..344a07a3 --- /dev/null +++ b/utils/tuning/libtuning/modules/lsc/lsc.py @@ -0,0 +1,72 @@ +# SPDX-License-Identifier: BSD-2-Clause +# +# Copyright (C) 2019, Raspberry Pi Ltd +# Copyright (C) 2022, Paul Elder <paul.elder@ideasonboard.com> + +from ..module import Module + +import libtuning as lt +import libtuning.utils as utils + +import numpy as np + + +class LSC(Module): + type = 'lsc' + hr_name = 'LSC (Base)' + out_name = 'GenericLSC' + + def __init__(self, *, + debug: list, + sector_shape: tuple, + sector_x_gradient: lt.Gradient, + sector_y_gradient: lt.Gradient, + sector_average_function: lt.Average, + smoothing_function: lt.Smoothing): + super().__init__() + + self.debug = debug + + self.sector_shape = sector_shape + self.sector_x_gradient = sector_x_gradient + self.sector_y_gradient = sector_y_gradient + self.sector_average_function = sector_average_function + + self.smoothing_function = smoothing_function + + def _enumerate_lsc_images(self, images): + for image in images: + if image.lsc_only: + yield image + + def _get_grid(self, channel, img_w, img_h): + # List of number of pixels in each sector + sectors_x = self.sector_x_gradient.distribute(img_w / 2, self.sector_shape[0]) + sectors_y = self.sector_y_gradient.distribute(img_h / 2, self.sector_shape[1]) + + grid = [] + + r = 0 + for y in sectors_y: + c = 0 + for x in sectors_x: + grid.append(self.sector_average_function.average(channel[r:r + y, c:c + x])) + c += x + r += y + + return np.array(grid) + + def _lsc_single_channel(self, channel: np.array, + image: lt.Image, green_grid: np.array = None): + grid = self._get_grid(channel, image.w, image.h) + grid -= image.blacklevel_16 + if green_grid is None: + table = np.reshape(1 / grid, self.sector_shape[::-1]) + else: + table = np.reshape(green_grid / grid, self.sector_shape[::-1]) + table = self.smoothing_function.smoothing(table) + + if green_grid is None: + table = table / np.min(table) + + return table, grid |