From f715a75843edece43acc97a64567d656e9c6df44 Mon Sep 17 00:00:00 2001 From: Paul Elder Date: Sat, 22 Oct 2022 00:01:50 +0900 Subject: utils: libtuning: modules: alsc: Add rkisp1 LSC module Add an LSC module for RkISP1. Signed-off-by: Paul Elder Reviewed-by: Laurent Pinchart --- utils/tuning/libtuning/modules/lsc/__init__.py | 1 + utils/tuning/libtuning/modules/lsc/rkisp1.py | 112 +++++++++++++++++++++++++ 2 files changed, 113 insertions(+) create mode 100644 utils/tuning/libtuning/modules/lsc/rkisp1.py (limited to 'utils') diff --git a/utils/tuning/libtuning/modules/lsc/__init__.py b/utils/tuning/libtuning/modules/lsc/__init__.py index 7cdecdb8..0ba4411b 100644 --- a/utils/tuning/libtuning/modules/lsc/__init__.py +++ b/utils/tuning/libtuning/modules/lsc/__init__.py @@ -4,3 +4,4 @@ from libtuning.modules.lsc.lsc import LSC from libtuning.modules.lsc.raspberrypi import ALSCRaspberryPi +from libtuning.modules.lsc.rkisp1 import LSCRkISP1 diff --git a/utils/tuning/libtuning/modules/lsc/rkisp1.py b/utils/tuning/libtuning/modules/lsc/rkisp1.py new file mode 100644 index 00000000..5701ae0a --- /dev/null +++ b/utils/tuning/libtuning/modules/lsc/rkisp1.py @@ -0,0 +1,112 @@ +# SPDX-License-Identifier: BSD-2-Clause +# +# Copyright (C) 2019, Raspberry Pi Ltd +# Copyright (C) 2022, Paul Elder +# +# rkisp1.py - LSC module for tuning rkisp1 + +from .lsc import LSC + +import libtuning as lt +import libtuning.utils as utils + +from numbers import Number +import numpy as np + + +class LSCRkISP1(LSC): + hr_name = 'LSC (RkISP1)' + out_name = 'LensShadingCorrection' + # \todo Not sure if this is useful. Probably will remove later. + compatible = ['rkisp1'] + + def __init__(self, *args, **kwargs): + super().__init__(**kwargs) + + # We don't actually need anything from the config file + def validate_config(self, config: dict) -> bool: + return True + + # @return Image color temperature, flattened array of red calibration table + # (containing {sector size} elements), flattened array of blue + # calibration table, flattened array of (red's) green calibration + # table, flattened array of (blue's) green calibration table + + def _do_single_lsc(self, image: lt.Image): + cgr, gr = self._lsc_single_channel(image.channels[lt.Color.GR], image) + cgb, gb = self._lsc_single_channel(image.channels[lt.Color.GB], image) + + # \todo Should these ratio against the average of both greens or just + # each green like we've done here? + cr, _ = self._lsc_single_channel(image.channels[lt.Color.R], image, gr) + cb, _ = self._lsc_single_channel(image.channels[lt.Color.B], image, gb) + + return image.color, cr.flatten(), cb.flatten(), cgr.flatten(), cgb.flatten() + + # @return List of dictionaries of color temperature, red table, red's green + # table, blue's green table, and blue table + + def _do_all_lsc(self, images: list) -> list: + output_list = [] + output_map_func = lt.gradient.Linear().map + + # List of colour temperatures + list_col = [] + # Associated calibration tables + list_cr = [] + list_cb = [] + list_cgr = [] + list_cgb = [] + for image in self._enumerate_lsc_images(images): + col, cr, cb, cgr, cgb = self._do_single_lsc(image) + list_col.append(col) + list_cr.append(cr) + list_cb.append(cb) + list_cgr.append(cgr) + list_cgb.append(cgb) + + # Convert to numpy array for data manipulation + list_col = np.array(list_col) + list_cr = np.array(list_cr) + list_cb = np.array(list_cb) + list_cgr = np.array(list_cgr) + list_cgb = np.array(list_cgb) + + for color_temperature in sorted(set(list_col)): + # Average tables for the same colour temperature + indices = np.where(list_col == color_temperature) + color_temperature = int(color_temperature) + + tables = [] + for lis in [list_cr, list_cgr, list_cgb, list_cb]: + table = np.mean(lis[indices], axis=0) + table = output_map_func((1, 3.999), (1024, 4095), table) + table = np.round(table).astype('int32').tolist() + tables.append(table) + + entry = { + 'ct': color_temperature, + 'r': tables[0], + 'gr': tables[1], + 'gb': tables[2], + 'b': tables[3], + } + + output_list.append(entry) + + return output_list + + def process(self, config: dict, images: list, outputs: dict) -> dict: + output = {} + + # \todo This should actually come from self.sector_{x,y}_gradient + size_gradient = lt.gradient.Linear(lt.Remainder.Float) + output['x-size'] = size_gradient.distribute(0.5, 8) + output['y-size'] = size_gradient.distribute(0.5, 8) + + output['sets'] = self._do_all_lsc(images) + + # \todo Validate images from greyscale camera and force grescale mode + # \todo Debug functionality + + return output -- cgit v1.2.1