From bc5932a4d423c744aa13bd011f19b471bb8347d1 Mon Sep 17 00:00:00 2001 From: Ben Benson Date: Mon, 4 Sep 2023 10:41:49 +0100 Subject: utils: raspberrypi: ctt: Changed CTT handling of VC4 and PiSP Changed how users select which platform to tune for. Now users specify a command line argument, '-t', to specify which target platform. Signed-off-by: Ben Benson Reviewed-by: Naushir Patuck --- utils/raspberrypi/ctt/alsc_only.py | 42 ++ utils/raspberrypi/ctt/alsc_pisp.py | 37 -- utils/raspberrypi/ctt/alsc_vc4.py | 37 -- utils/raspberrypi/ctt/cac_only.py | 9 +- utils/raspberrypi/ctt/ctt.py | 800 +++++++++++++++++++++++++ utils/raspberrypi/ctt/ctt_image_load.py | 1 - utils/raspberrypi/ctt/ctt_log.txt | 31 - utils/raspberrypi/ctt/ctt_pisp.py | 33 +- utils/raspberrypi/ctt/ctt_pretty_print_json.py | 8 +- utils/raspberrypi/ctt/ctt_run.py | 772 ------------------------ utils/raspberrypi/ctt/ctt_tools.py | 3 +- utils/raspberrypi/ctt/ctt_vc4.py | 33 +- 12 files changed, 857 insertions(+), 949 deletions(-) create mode 100755 utils/raspberrypi/ctt/alsc_only.py delete mode 100755 utils/raspberrypi/ctt/alsc_pisp.py delete mode 100755 utils/raspberrypi/ctt/alsc_vc4.py create mode 100755 utils/raspberrypi/ctt/ctt.py delete mode 100644 utils/raspberrypi/ctt/ctt_log.txt delete mode 100755 utils/raspberrypi/ctt/ctt_run.py (limited to 'utils/raspberrypi') diff --git a/utils/raspberrypi/ctt/alsc_only.py b/utils/raspberrypi/ctt/alsc_only.py new file mode 100755 index 00000000..ffe4bdb0 --- /dev/null +++ b/utils/raspberrypi/ctt/alsc_only.py @@ -0,0 +1,42 @@ +#!/usr/bin/env python3 +# +# SPDX-License-Identifier: BSD-2-Clause +# +# Copyright (C) 2022, Raspberry Pi Ltd +# +# alsc_only.py - alsc tuning tool + +import sys + +from ctt import * +from ctt_tools import parse_input + +if __name__ == '__main__': + """ + initialise calibration + """ + if len(sys.argv) == 1: + print(""" + PiSP Lens Shading Camera Tuning Tool version 1.0 + + Required Arguments: + '-i' : Calibration image directory. + '-o' : Name of output json file. + + Optional Arguments: + '-t' : Target platform - 'pisp' or 'vc4'. Default 'vc4' + '-c' : Config file for the CTT. If not passed, default parameters used. + '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. + """) + quit(0) + else: + """ + parse input arguments + """ + json_output, directory, config, log_output, target = parse_input() + if target == 'pisp': + from ctt_pisp import json_template, grid_size + elif target == 'vc4': + from ctt_vc4 import json_template, grid_size + + run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=True) diff --git a/utils/raspberrypi/ctt/alsc_pisp.py b/utils/raspberrypi/ctt/alsc_pisp.py deleted file mode 100755 index d0034ae1..00000000 --- a/utils/raspberrypi/ctt/alsc_pisp.py +++ /dev/null @@ -1,37 +0,0 @@ -#!/usr/bin/env python3 -# -# SPDX-License-Identifier: BSD-2-Clause -# -# Copyright (C) 2022, Raspberry Pi Ltd -# -# alsc_only.py - alsc tuning tool - -import sys - -from ctt_pisp import json_template, grid_size, target -from ctt_run import run_ctt -from ctt_tools import parse_input - -if __name__ == '__main__': - """ - initialise calibration - """ - if len(sys.argv) == 1: - print(""" - PiSP Lens Shading Camera Tuning Tool version 1.0 - - Required Arguments: - '-i' : Calibration image directory. - '-o' : Name of output json file. - - Optional Arguments: - '-c' : Config file for the CTT. If not passed, default parameters used. - '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. - """) - quit(0) - else: - """ - parse input arguments - """ - json_output, directory, config, log_output = parse_input() - run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=True) diff --git a/utils/raspberrypi/ctt/alsc_vc4.py b/utils/raspberrypi/ctt/alsc_vc4.py deleted file mode 100755 index 41ec382b..00000000 --- a/utils/raspberrypi/ctt/alsc_vc4.py +++ /dev/null @@ -1,37 +0,0 @@ -#!/usr/bin/env python3 -# -# SPDX-License-Identifier: BSD-2-Clause -# -# Copyright (C) 2022, Raspberry Pi (Trading) Limited -# -# alsc_only.py - alsc tuning tool - -import sys - -from ctt_vc4 import json_template, grid_size, target -from ctt_run import run_ctt -from ctt_tools import parse_input - -if __name__ == '__main__': - """ - initialise calibration - """ - if len(sys.argv) == 1: - print(""" - VC4 Lens Shading Camera Tuning Tool version 1.0 - - Required Arguments: - '-i' : Calibration image directory. - '-o' : Name of output json file. - - Optional Arguments: - '-c' : Config file for the CTT. If not passed, default parameters used. - '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. - """) - quit(0) - else: - """ - parse input arguments - """ - json_output, directory, config, log_output = parse_input() - run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=True) diff --git a/utils/raspberrypi/ctt/cac_only.py b/utils/raspberrypi/ctt/cac_only.py index 2bb11ccc..1c0a8193 100644 --- a/utils/raspberrypi/ctt/cac_only.py +++ b/utils/raspberrypi/ctt/cac_only.py @@ -2,7 +2,7 @@ # # SPDX-License-Identifier: BSD-2-Clause # -# Copyright (C) 2023, Raspberry Pi (Trading) Limited +# Copyright (C) 2023, Raspberry Pi (Trading) Ltd. # # cac_only.py - cac tuning tool @@ -102,11 +102,11 @@ def cac(filelist, output_filepath, plot_results=False): sample = sample.replace("ry_vals", pprint_array(rx * -1)) sample = sample.replace("bx_vals", pprint_array(by * -1)) sample = sample.replace("by_vals", pprint_array(bx * -1)) - print("Successfully converted to YAML") + print("Successfully converted to JSON") f = open(str(output_filepath), "w+") f.write(sample) f.close() - print("Successfully written to yaml file") + print("Successfully written to json file") ''' If you wish to see a plot of the colour channel shifts, add the -p or --plots option Can be a quick way of validating if the data/dots you've got are good, or if you need to @@ -139,5 +139,4 @@ if __name__ == "__main__": plot_results = True arg_output = argv[output_location + 1] - logfile = open("log.txt", "a+") - cac(filelist, arg_output, plot_results, logfile) + cac(filelist, arg_output, plot_results) diff --git a/utils/raspberrypi/ctt/ctt.py b/utils/raspberrypi/ctt/ctt.py new file mode 100755 index 00000000..79cb9d7f --- /dev/null +++ b/utils/raspberrypi/ctt/ctt.py @@ -0,0 +1,800 @@ +#!/usr/bin/env python3 +# +# SPDX-License-Identifier: BSD-2-Clause +# +# Copyright (C) 2019, Raspberry Pi Ltd +# +# ctt.py - camera tuning tool + +import os +import sys +from ctt_image_load import * +from ctt_cac import * +from ctt_ccm import * +from ctt_awb import * +from ctt_alsc import * +from ctt_lux import * +from ctt_noise import * +from ctt_geq import * +from ctt_pretty_print_json import pretty_print +import random +import json +import re + +""" +This file houses the camera object, which is used to perform the calibrations. +The camera object houses all the calibration images as attributes in three lists: + - imgs (macbeth charts) + - imgs_alsc (alsc correction images) + - imgs_cac (cac correction images) +Various calibrations are methods of the camera object, and the output is stored +in a dictionary called self.json. +Once all the caibration has been completed, the Camera.json is written into a +json file. +The camera object initialises its json dictionary by reading from a pre-written +blank json file. This has been done to avoid reproducing the entire json file +in the code here, thereby avoiding unecessary clutter. +""" + + +""" +Get the colour and lux values from the strings of each inidvidual image +""" +def get_col_lux(string): + """ + Extract colour and lux values from filename + """ + col = re.search(r'([0-9]+)[kK](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string) + lux = re.search(r'([0-9]+)[lL](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string) + try: + col = col.group(1) + except AttributeError: + """ + Catch error if images labelled incorrectly and pass reasonable defaults + """ + return None, None + try: + lux = lux.group(1) + except AttributeError: + """ + Catch error if images labelled incorrectly and pass reasonable defaults + Still returns colour if that has been found. + """ + return col, None + return int(col), int(lux) + + +""" +Camera object that is the backbone of the tuning tool. +Input is the desired path of the output json. +""" +class Camera: + def __init__(self, jfile, json): + self.path = os.path.dirname(os.path.expanduser(__file__)) + '/' + if self.path == '/': + self.path = '' + self.imgs = [] + self.imgs_alsc = [] + self.imgs_cac = [] + self.log = 'Log created : ' + time.asctime(time.localtime(time.time())) + self.log_separator = '\n'+'-'*70+'\n' + self.jf = jfile + """ + initial json dict populated by uncalibrated values + """ + self.json = json + + """ + Perform colour correction calibrations by comparing macbeth patch colours + to standard macbeth chart colours. + """ + def ccm_cal(self, do_alsc_colour, grid_size): + if 'rpi.ccm' in self.disable: + return 1 + print('\nStarting CCM calibration') + self.log_new_sec('CCM') + """ + if image is greyscale then CCm makes no sense + """ + if self.grey: + print('\nERROR: Can\'t do CCM on greyscale image!') + self.log += '\nERROR: Cannot perform CCM calibration ' + self.log += 'on greyscale image!\nCCM aborted!' + del self.json['rpi.ccm'] + return 0 + a = time.time() + """ + Check if alsc tables have been generated, if not then do ccm without + alsc + """ + if ("rpi.alsc" not in self.disable) and do_alsc_colour: + """ + case where ALSC colour has been done, so no errors should be + expected... + """ + try: + cal_cr_list = self.json['rpi.alsc']['calibrations_Cr'] + cal_cb_list = self.json['rpi.alsc']['calibrations_Cb'] + self.log += '\nALSC tables found successfully' + except KeyError: + cal_cr_list, cal_cb_list = None, None + print('WARNING! No ALSC tables found for CCM!') + print('Performing CCM calibrations without ALSC correction...') + self.log += '\nWARNING: No ALSC tables found.\nCCM calibration ' + self.log += 'performed without ALSC correction...' + else: + """ + case where config options result in CCM done without ALSC colour tables + """ + cal_cr_list, cal_cb_list = None, None + self.log += '\nWARNING: No ALSC tables found.\nCCM calibration ' + self.log += 'performed without ALSC correction...' + + """ + Do CCM calibration + """ + try: + ccms = ccm(self, cal_cr_list, cal_cb_list, grid_size) + except ArithmeticError: + print('ERROR: Matrix is singular!\nTake new pictures and try again...') + self.log += '\nERROR: Singular matrix encountered during fit!' + self.log += '\nCCM aborted!' + return 1 + """ + Write output to json + """ + self.json['rpi.ccm']['ccms'] = ccms + self.log += '\nCCM calibration written to json file' + print('Finished CCM calibration') + + """ + Perform chromatic abberation correction using multiple dots images. + """ + def cac_cal(self, do_alsc_colour): + if 'rpi.cac' in self.disable: + return 1 + print('\nStarting CAC calibration') + self.log_new_sec('CAC') + """ + check if cac images have been taken + """ + if len(self.imgs_cac) == 0: + print('\nError:\nNo cac calibration images found') + self.log += '\nERROR: No CAC calibration images found!' + self.log += '\nCAC calibration aborted!' + return 1 + """ + if image is greyscale then CAC makes no sense + """ + if self.grey: + print('\nERROR: Can\'t do CAC on greyscale image!') + self.log += '\nERROR: Cannot perform CAC calibration ' + self.log += 'on greyscale image!\nCAC aborted!' + del self.json['rpi.cac'] + return 0 + a = time.time() + """ + Check if camera is greyscale or color. If not greyscale, then perform cac + """ + if do_alsc_colour: + """ + Here we have a color sensor. Perform cac + """ + try: + cacs = cac(self) + except ArithmeticError: + print('ERROR: Matrix is singular!\nTake new pictures and try again...') + self.log += '\nERROR: Singular matrix encountered during fit!' + self.log += '\nCAC aborted!' + return 1 + else: + """ + case where config options suggest greyscale camera. No point in doing CAC + """ + cal_cr_list, cal_cb_list = None, None + self.log += '\nWARNING: No ALSC tables found.\nCAC calibration ' + self.log += 'performed without ALSC correction...' + + """ + Write output to json + """ + self.json['rpi.cac']['cac'] = cacs + self.log += '\nCAC calibration written to json file' + print('Finished CAC calibration') + + + """ + Auto white balance calibration produces a colour curve for + various colour temperatures, as well as providing a maximum 'wiggle room' + distance from this curve (transverse_neg/pos). + """ + def awb_cal(self, greyworld, do_alsc_colour, grid_size): + if 'rpi.awb' in self.disable: + return 1 + print('\nStarting AWB calibration') + self.log_new_sec('AWB') + """ + if image is greyscale then AWB makes no sense + """ + if self.grey: + print('\nERROR: Can\'t do AWB on greyscale image!') + self.log += '\nERROR: Cannot perform AWB calibration ' + self.log += 'on greyscale image!\nAWB aborted!' + del self.json['rpi.awb'] + return 0 + """ + optional set greyworld (e.g. for noir cameras) + """ + if greyworld: + self.json['rpi.awb']['bayes'] = 0 + self.log += '\nGreyworld set' + """ + Check if alsc tables have been generated, if not then do awb without + alsc correction + """ + if ("rpi.alsc" not in self.disable) and do_alsc_colour: + try: + cal_cr_list = self.json['rpi.alsc']['calibrations_Cr'] + cal_cb_list = self.json['rpi.alsc']['calibrations_Cb'] + self.log += '\nALSC tables found successfully' + except KeyError: + cal_cr_list, cal_cb_list = None, None + print('ERROR, no ALSC calibrations found for AWB') + print('Performing AWB without ALSC tables') + self.log += '\nWARNING: No ALSC tables found.\nAWB calibration ' + self.log += 'performed without ALSC correction...' + else: + cal_cr_list, cal_cb_list = None, None + self.log += '\nWARNING: No ALSC tables found.\nAWB calibration ' + self.log += 'performed without ALSC correction...' + """ + call calibration function + """ + plot = "rpi.awb" in self.plot + awb_out = awb(self, cal_cr_list, cal_cb_list, plot, grid_size) + ct_curve, transverse_neg, transverse_pos = awb_out + """ + write output to json + """ + self.json['rpi.awb']['ct_curve'] = ct_curve + self.json['rpi.awb']['sensitivity_r'] = 1.0 + self.json['rpi.awb']['sensitivity_b'] = 1.0 + self.json['rpi.awb']['transverse_pos'] = transverse_pos + self.json['rpi.awb']['transverse_neg'] = transverse_neg + self.log += '\nAWB calibration written to json file' + print('Finished AWB calibration') + + """ + Auto lens shading correction completely mitigates the effects of lens shading for ech + colour channel seperately, and then partially corrects for vignetting. + The extent of the correction depends on the 'luminance_strength' parameter. + """ + def alsc_cal(self, luminance_strength, do_alsc_colour, grid_size): + if 'rpi.alsc' in self.disable: + return 1 + print('\nStarting ALSC calibration') + self.log_new_sec('ALSC') + """ + check if alsc images have been taken + """ + if len(self.imgs_alsc) == 0: + print('\nError:\nNo alsc calibration images found') + self.log += '\nERROR: No ALSC calibration images found!' + self.log += '\nALSC calibration aborted!' + return 1 + self.json['rpi.alsc']['luminance_strength'] = luminance_strength + if self.grey and do_alsc_colour: + print('Greyscale camera so only luminance_lut calculated') + do_alsc_colour = False + self.log += '\nWARNING: ALSC colour correction cannot be done on ' + self.log += 'greyscale image!\nALSC colour corrections forced off!' + """ + call calibration function + """ + plot = "rpi.alsc" in self.plot + alsc_out = alsc_all(self, do_alsc_colour, plot, grid_size) + cal_cr_list, cal_cb_list, luminance_lut, av_corn = alsc_out + """ + write ouput to json and finish if not do_alsc_colour + """ + if not do_alsc_colour: + self.json['rpi.alsc']['luminance_lut'] = luminance_lut + self.json['rpi.alsc']['n_iter'] = 0 + self.log += '\nALSC calibrations written to json file' + self.log += '\nNo colour calibrations performed' + print('Finished ALSC calibrations') + return 1 + + self.json['rpi.alsc']['calibrations_Cr'] = cal_cr_list + self.json['rpi.alsc']['calibrations_Cb'] = cal_cb_list + self.json['rpi.alsc']['luminance_lut'] = luminance_lut + self.log += '\nALSC colour and luminance tables written to json file' + + """ + The sigmas determine the strength of the adaptive algorithm, that + cleans up any lens shading that has slipped through the alsc. These are + determined by measuring a 'worst-case' difference between two alsc tables + that are adjacent in colour space. If, however, only one colour + temperature has been provided, then this difference can not be computed + as only one table is available. + To determine the sigmas you would have to estimate the error of an alsc + table with only the image it was taken on as a check. To avoid circularity, + dfault exaggerated sigmas are used, which can result in too much alsc and + is therefore not advised. + In general, just take another alsc picture at another colour temperature! + """ + + if len(self.imgs_alsc) == 1: + self.json['rpi.alsc']['sigma'] = 0.005 + self.json['rpi.alsc']['sigma_Cb'] = 0.005 + print('\nWarning:\nOnly one alsc calibration found' + '\nStandard sigmas used for adaptive algorithm.') + print('Finished ALSC calibrations') + self.log += '\nWARNING: Only one colour temperature found in ' + self.log += 'calibration images.\nStandard sigmas used for adaptive ' + self.log += 'algorithm!' + return 1 + + """ + obtain worst-case scenario residual sigmas + """ + sigma_r, sigma_b = get_sigma(self, cal_cr_list, cal_cb_list, grid_size) + """ + write output to json + """ + self.json['rpi.alsc']['sigma'] = np.round(sigma_r, 5) + self.json['rpi.alsc']['sigma_Cb'] = np.round(sigma_b, 5) + self.log += '\nCalibrated sigmas written to json file' + print('Finished ALSC calibrations') + + """ + Green equalisation fixes problems caused by discrepancies in green + channels. This is done by measuring the effect on macbeth chart patches, + which ideally would have the same green values throughout. + An upper bound linear model is fit, fixing a threshold for the green + differences that are corrected. + """ + def geq_cal(self): + if 'rpi.geq' in self.disable: + return 1 + print('\nStarting GEQ calibrations') + self.log_new_sec('GEQ') + """ + perform calibration + """ + plot = 'rpi.geq' in self.plot + slope, offset = geq_fit(self, plot) + """ + write output to json + """ + self.json['rpi.geq']['offset'] = offset + self.json['rpi.geq']['slope'] = slope + self.log += '\nGEQ calibrations written to json file' + print('Finished GEQ calibrations') + + """ + Lux calibrations allow the lux level of a scene to be estimated by a ratio + calculation. Lux values are used in the pipeline for algorithms such as AGC + and AWB + """ + def lux_cal(self): + if 'rpi.lux' in self.disable: + return 1 + print('\nStarting LUX calibrations') + self.log_new_sec('LUX') + """ + The lux calibration is done on a single image. For best effects, the + image with lux level closest to 1000 is chosen. + """ + luxes = [Img.lux for Img in self.imgs] + argmax = luxes.index(min(luxes, key=lambda l: abs(1000-l))) + Img = self.imgs[argmax] + self.log += '\nLux found closest to 1000: {} lx'.format(Img.lux) + self.log += '\nImage used: ' + Img.name + if Img.lux < 50: + self.log += '\nWARNING: Low lux could cause inaccurate calibrations!' + """ + do calibration + """ + lux_out, shutter_speed, gain = lux(self, Img) + """ + write output to json + """ + self.json['rpi.lux']['reference_shutter_speed'] = shutter_speed + self.json['rpi.lux']['reference_gain'] = gain + self.json['rpi.lux']['reference_lux'] = Img.lux + self.json['rpi.lux']['reference_Y'] = lux_out + self.log += '\nLUX calibrations written to json file' + print('Finished LUX calibrations') + + """ + Noise alibration attempts to describe the noise profile of the sensor. The + calibration is run on macbeth images and the final output is taken as the average + """ + def noise_cal(self): + if 'rpi.noise' in self.disable: + return 1 + print('\nStarting NOISE calibrations') + self.log_new_sec('NOISE') + """ + run calibration on all images and sort by slope. + """ + plot = "rpi.noise" in self.plot + noise_out = sorted([noise(self, Img, plot) for Img in self.imgs], key=lambda x: x[0]) + self.log += '\nFinished processing images' + """ + take the average of the interquartile + """ + length = len(noise_out) + noise_out = np.mean(noise_out[length//4:1+3*length//4], axis=0) + self.log += '\nAverage noise profile: constant = {} '.format(int(noise_out[1])) + self.log += 'slope = {:.3f}'.format(noise_out[0]) + """ + write to json + """ + self.json['rpi.noise']['reference_constant'] = int(noise_out[1]) + self.json['rpi.noise']['reference_slope'] = round(noise_out[0], 3) + self.log += '\nNOISE calibrations written to json' + print('Finished NOISE calibrations') + + """ + Removes json entries that are turned off + """ + def json_remove(self, disable): + self.log_new_sec('Disabling Options', cal=False) + if len(self.disable) == 0: + self.log += '\nNothing disabled!' + return 1 + for key in disable: + try: + del self.json[key] + self.log += '\nDisabled: ' + key + except KeyError: + self.log += '\nERROR: ' + key + ' not found!' + """ + writes the json dictionary to the raw json file then make pretty + """ + def write_json(self, version=2.0, target='bcm2835', grid_size=(16, 12)): + """ + Write json dictionary to file using our version 2 format + """ + + out_json = { + "version": version, + 'target': target, + "algorithms": [{name: data} for name, data in self.json.items()], + } + + with open(self.jf, 'w') as f: + f.write(pretty_print(out_json, + custom_elems={'table': grid_size[0], 'luminance_lut': grid_size[0]})) + + """ + add a new section to the log file + """ + def log_new_sec(self, section, cal=True): + self.log += '\n'+self.log_separator + self.log += section + if cal: + self.log += ' Calibration' + self.log += self.log_separator + + """ + write script arguments to log file + """ + def log_user_input(self, json_output, directory, config, log_output): + self.log_new_sec('User Arguments', cal=False) + self.log += '\nJson file output: ' + json_output + self.log += '\nCalibration images directory: ' + directory + if config is None: + self.log += '\nNo configuration file input... using default options' + elif config is False: + self.log += '\nWARNING: Invalid configuration file path...' + self.log += ' using default options' + elif config is True: + self.log += '\nWARNING: Invalid syntax in configuration file...' + self.log += ' using default options' + else: + self.log += '\nConfiguration file: ' + config + if log_output is None: + self.log += '\nNo log file path input... using default: ctt_log.txt' + else: + self.log += '\nLog file output: ' + log_output + + # if log_output + + """ + write log file + """ + def write_log(self, filename): + if filename is None: + filename = 'ctt_log.txt' + self.log += '\n' + self.log_separator + with open(filename, 'w') as logfile: + logfile.write(self.log) + + """ + Add all images from directory, pass into relevant list of images and + extrace lux and temperature values. + """ + def add_imgs(self, directory, mac_config, blacklevel=-1): + self.log_new_sec('Image Loading', cal=False) + img_suc_msg = 'Image loaded successfully!' + print('\n\nLoading images from '+directory) + self.log += '\nDirectory: ' + directory + """ + get list of files + """ + filename_list = get_photos(directory) + print("Files found: {}".format(len(filename_list))) + self.log += '\nFiles found: {}'.format(len(filename_list)) + """ + iterate over files + """ + filename_list.sort() + for filename in filename_list: + address = directory + filename + print('\nLoading image: '+filename) + self.log += '\n\nImage: ' + filename + """ + obtain colour and lux value + """ + col, lux = get_col_lux(filename) + """ + Check if image is an alsc calibration image + """ + if 'alsc' in filename: + Img = load_image(self, address, mac=False) + self.log += '\nIdentified as an ALSC image' + """ + check if imagae data has been successfully unpacked + """ + if Img == 0: + print('\nDISCARDED') + self.log += '\nImage discarded!' + continue + """ + check that image colour temperature has been successfuly obtained + """ + elif col is not None: + """ + if successful, append to list and continue to next image + """ + Img.col = col + Img.name = filename + self.log += '\nColour temperature: {} K'.format(col) + self.imgs_alsc.append(Img) + if blacklevel != -1: + Img.blacklevel_16 = blacklevel + print(img_suc_msg) + continue + else: + print('Error! No colour temperature found!') + self.log += '\nWARNING: Error reading colour temperature' + self.log += '\nImage discarded!' + print('DISCARDED') + elif 'cac' in filename: + Img = load_image(self, address, mac=False) + self.log += '\nIdentified as an CAC image' + Img.name = filename + self.log += '\nColour temperature: {} K'.format(col) + self.imgs_cac.append(Img) + if blacklevel != -1: + Img.blacklevel_16 = blacklevel + print(img_suc_msg) + continue + else: + self.log += '\nIdentified as macbeth chart image' + """ + if image isn't an alsc correction then it must have a lux and a + colour temperature value to be useful + """ + if lux is None: + print('DISCARDED') + self.log += '\nWARNING: Error reading lux value' + self.log += '\nImage discarded!' + continue + Img = load_image(self, address, mac_config) + """ + check that image data has been successfuly unpacked + """ + if Img == 0: + print('DISCARDED') + self.log += '\nImage discarded!' + continue + else: + """ + if successful, append to list and continue to next image + """ + Img.col, Img.lux = col, lux + Img.name = filename + self.log += '\nColour temperature: {} K'.format(col) + self.log += '\nLux value: {} lx'.format(lux) + if blacklevel != -1: + Img.blacklevel_16 = blacklevel + print(img_suc_msg) + self.imgs.append(Img) + + print('\nFinished loading images') + + """ + Check that usable images have been found + Possible errors include: + - no macbeth chart + - incorrect filename/extension + - images from different cameras + """ + def check_imgs(self, macbeth=True): + self.log += '\n\nImages found:' + self.log += '\nMacbeth : {}'.format(len(self.imgs)) + self.log += '\nALSC : {} '.format(len(self.imgs_alsc)) + self.log += '\nCAC: {} '.format(len(self.imgs_cac)) + self.log += '\n\nCamera metadata' + """ + check usable images found + """ + if len(self.imgs) == 0 and macbeth: + print('\nERROR: No usable macbeth chart images found') + self.log += '\nERROR: No usable macbeth chart images found' + return 0 + elif len(self.imgs) == 0 and len(self.imgs_alsc) == 0 and len(self.imgs_cac) == 0: + print('\nERROR: No usable images found') + self.log += '\nERROR: No usable images found' + return 0 + """ + Double check that every image has come from the same camera... + """ + all_imgs = self.imgs + self.imgs_alsc + self.imgs_cac + camNames = list(set([Img.camName for Img in all_imgs])) + patterns = list(set([Img.pattern for Img in all_imgs])) + sigbitss = list(set([Img.sigbits for Img in all_imgs])) + blacklevels = list(set([Img.blacklevel_16 for Img in all_imgs])) + sizes = list(set([(Img.w, Img.h) for Img in all_imgs])) + + if 1: + self.grey = (patterns[0] == 128) + self.blacklevel_16 = blacklevels[0] + self.log += '\nName: {}'.format(camNames[0]) + self.log += '\nBayer pattern case: {}'.format(patterns[0]) + if self.grey: + self.log += '\nGreyscale camera identified' + self.log += '\nSignificant bits: {}'.format(sigbitss[0]) + self.log += '\nBlacklevel: {}'.format(blacklevels[0]) + self.log += '\nImage size: w = {} h = {}'.format(sizes[0][0], sizes[0][1]) + return 1 + else: + print('\nERROR: Images from different cameras') + self.log += '\nERROR: Images are from different cameras' + return 0 + + +def run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=False): + """ + check input files are jsons + """ + if json_output[-5:] != '.json': + raise ArgError('\n\nError: Output must be a json file!') + if config is not None: + """ + check if config file is actually a json + """ + if config[-5:] != '.json': + raise ArgError('\n\nError: Config file must be a json file!') + """ + read configurations + """ + try: + with open(config, 'r') as config_json: + configs = json.load(config_json) + except FileNotFoundError: + configs = {} + config = False + except json.decoder.JSONDecodeError: + configs = {} + config = True + + else: + configs = {} + """ + load configurations from config file, if not given then set default + """ + disable = get_config(configs, "disable", [], 'list') + plot = get_config(configs, "plot", [], 'list') + awb_d = get_config(configs, "awb", {}, 'dict') + greyworld = get_config(awb_d, "greyworld", 0, 'bool') + alsc_d = get_config(configs, "alsc", {}, 'dict') + do_alsc_colour = get_config(alsc_d, "do_alsc_colour", 1, 'bool') + luminance_strength = get_config(alsc_d, "luminance_strength", 0.8, 'num') + blacklevel = get_config(configs, "blacklevel", -1, 'num') + macbeth_d = get_config(configs, "macbeth", {}, 'dict') + mac_small = get_config(macbeth_d, "small", 0, 'bool') + mac_show = get_config(macbeth_d, "show", 0, 'bool') + mac_config = (mac_small, mac_show) + + if blacklevel < -1 or blacklevel >= 2**16: + print('\nInvalid blacklevel, defaulted to 64') + blacklevel = -1 + + if luminance_strength < 0 or luminance_strength > 1: + print('\nInvalid luminance_strength strength, defaulted to 0.5') + luminance_strength = 0.5 + + """ + sanitise directory path + """ + if directory[-1] != '/': + directory += '/' + """ + initialise tuning tool and load images + """ + try: + Cam = Camera(json_output, json=json_template) + Cam.log_user_input(json_output, directory, config, log_output) + if alsc_only: + disable = set(Cam.json.keys()).symmetric_difference({"rpi.alsc"}) + Cam.disable = disable + Cam.plot = plot + Cam.add_imgs(directory, mac_config, blacklevel) + except FileNotFoundError: + raise ArgError('\n\nError: Input image directory not found!') + + """ + preform calibrations as long as check_imgs returns True + If alsc is activated then it must be done before awb and ccm since the alsc + tables are used in awb and ccm calibrations + ccm also technically does an awb but it measures this from the macbeth + chart in the image rather than using calibration data + """ + if Cam.check_imgs(macbeth=not alsc_only): + if not alsc_only: + Cam.json['rpi.black_level']['black_level'] = Cam.blacklevel_16 + Cam.json_remove(disable) + print('\nSTARTING CALIBRATIONS') + Cam.alsc_cal(luminance_strength, do_alsc_colour, grid_size) + Cam.geq_cal() + Cam.lux_cal() + Cam.noise_cal() + if "rpi.cac" in json_template: + Cam.cac_cal(do_alsc_colour) + Cam.awb_cal(greyworld, do_alsc_colour, grid_size) + Cam.ccm_cal(do_alsc_colour, grid_size) + + print('\nFINISHED CALIBRATIONS') + Cam.write_json(target=target, grid_size=grid_size) + Cam.write_log(log_output) + print('\nCalibrations written to: '+json_output) + if log_output is None: + log_output = 'ctt_log.txt' + print('Log file written to: '+log_output) + pass + else: + Cam.write_log(log_output) + +if __name__ == '__main__': + """ + initialise calibration + """ + if len(sys.argv) == 1: + print(""" + PiSP Tuning Tool version 1.0 + Required Arguments: + '-i' : Calibration image directory. + '-o' : Name of output json file. + + Optional Arguments: + '-t' : Target platform - 'pisp' or 'vc4'. Default 'vc4' + '-c' : Config file for the CTT. If not passed, default parameters used. + '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. + """) + quit(0) + else: + """ + parse input arguments + """ + json_output, directory, config, log_output, target = parse_input() + if target == 'pisp': + from ctt_pisp import json_template, grid_size + elif target == 'vc4': + from ctt_vc4 import json_template, grid_size + + run_ctt(json_output, directory, config, log_output, json_template, grid_size, target) diff --git a/utils/raspberrypi/ctt/ctt_image_load.py b/utils/raspberrypi/ctt/ctt_image_load.py index d37e9694..fffa4c43 100644 --- a/utils/raspberrypi/ctt/ctt_image_load.py +++ b/utils/raspberrypi/ctt/ctt_image_load.py @@ -351,7 +351,6 @@ def dng_load_image(Cam, im_str): c3 = np.left_shift(raw_data[1::2, 1::2].astype(np.int64), shift) Img.channels = [c0, c1, c2, c3] Img.rgb = raw_im.postprocess() - Img.sizes = raw_im.sizes except Exception: print("\nERROR: failed to load DNG file", im_str) diff --git a/utils/raspberrypi/ctt/ctt_log.txt b/utils/raspberrypi/ctt/ctt_log.txt deleted file mode 100644 index 682e24e4..00000000 --- a/utils/raspberrypi/ctt/ctt_log.txt +++ /dev/null @@ -1,31 +0,0 @@ -Log created : Fri Aug 25 17:02:58 2023 - ----------------------------------------------------------------------- -User Arguments ----------------------------------------------------------------------- - -Json file output: output.json -Calibration images directory: ../ctt/ -No configuration file input... using default options -No log file path input... using default: ctt_log.txt - ----------------------------------------------------------------------- -Image Loading ----------------------------------------------------------------------- - -Directory: ../ctt/ -Files found: 1 - -Image: alsc_3000k_0.dng -Identified as an ALSC image -Colour temperature: 3000 K - -Images found: -Macbeth : 0 -ALSC : 1 -CAC: 0 - -Camera metadata -ERROR: No usable macbeth chart images found - ----------------------------------------------------------------------- diff --git a/utils/raspberrypi/ctt/ctt_pisp.py b/utils/raspberrypi/ctt/ctt_pisp.py index 862587a6..4c432f17 100755 --- a/utils/raspberrypi/ctt/ctt_pisp.py +++ b/utils/raspberrypi/ctt/ctt_pisp.py @@ -4,13 +4,8 @@ # # Copyright (C) 2019, Raspberry Pi Ltd # -# ctt_pisp.py - camera tuning tool for PiSP platforms +# ctt_pisp.py - camera tuning tool data for PiSP platforms -import os -import sys - -from ctt_run import run_ctt -from ctt_tools import parse_input json_template = { "rpi.black_level": { @@ -207,29 +202,3 @@ json_template = { } grid_size = (32, 32) - -target = 'pisp' - -if __name__ == '__main__': - """ - initialise calibration - """ - if len(sys.argv) == 1: - print(""" - PiSP Camera Tuning Tool version 1.0 - - Required Arguments: - '-i' : Calibration image directory. - '-o' : Name of output json file. - - Optional Arguments: - '-c' : Config file for the CTT. If not passed, default parameters used. - '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. - """) - quit(0) - else: - """ - parse input arguments - """ - json_output, directory, config, log_output = parse_input() - run_ctt(json_output, directory, config, log_output, json_template, grid_size, target) diff --git a/utils/raspberrypi/ctt/ctt_pretty_print_json.py b/utils/raspberrypi/ctt/ctt_pretty_print_json.py index d3bd7d97..350cec65 100755 --- a/utils/raspberrypi/ctt/ctt_pretty_print_json.py +++ b/utils/raspberrypi/ctt/ctt_pretty_print_json.py @@ -108,6 +108,7 @@ def pretty_print(in_json: dict, custom_elems={}) -> str: if __name__ == "__main__": parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter, description= 'Prettify a version 2.0 camera tuning config JSON file.') + parser.add_argument('-t', '--target', type=str, help='Target platform', choices=['pisp', 'vc4'], default='vc4') parser.add_argument('input', type=str, help='Input tuning file.') parser.add_argument('output', type=str, nargs='?', help='Output converted tuning file. If not provided, the input file will be updated in-place.', @@ -117,7 +118,12 @@ if __name__ == "__main__": with open(args.input, 'r') as f: in_json = json.load(f) - out_json = pretty_print(in_json) + if args.target == 'pisp': + from ctt_pisp import grid_size + elif args.target == 'vc4': + from ctt_vc4 import grid_size + + out_json = pretty_print(in_json, custom_elems={'table': grid_size[0], 'luminance_lut': grid_size[0]}) with open(args.output if args.output is not None else args.input, 'w') as f: f.write(out_json) diff --git a/utils/raspberrypi/ctt/ctt_run.py b/utils/raspberrypi/ctt/ctt_run.py deleted file mode 100755 index a41b9925..00000000 --- a/utils/raspberrypi/ctt/ctt_run.py +++ /dev/null @@ -1,772 +0,0 @@ -#!/usr/bin/env python3 -# -# SPDX-License-Identifier: BSD-2-Clause -# -# Copyright (C) 2019, Raspberry Pi Ltd -# -# ctt.py - camera tuning tool - -import os -import sys -from ctt_image_load import * -from ctt_cac import * -from ctt_ccm import * -from ctt_awb import * -from ctt_alsc import * -from ctt_lux import * -from ctt_noise import * -from ctt_geq import * -from ctt_pretty_print_json import pretty_print -import random -import json -import re - -""" -This file houses the camera object, which is used to perform the calibrations. -The camera object houses all the calibration images as attributes in three lists: - - imgs (macbeth charts) - - imgs_alsc (alsc correction images) - - imgs_cac (cac correction images) -Various calibrations are methods of the camera object, and the output is stored -in a dictionary called self.json. -Once all the caibration has been completed, the Camera.json is written into a -json file. -The camera object initialises its json dictionary by reading from a pre-written -blank json file. This has been done to avoid reproducing the entire json file -in the code here, thereby avoiding unecessary clutter. -""" - - -""" -Get the colour and lux values from the strings of each inidvidual image -""" -def get_col_lux(string): - """ - Extract colour and lux values from filename - """ - col = re.search(r'([0-9]+)[kK](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string) - lux = re.search(r'([0-9]+)[lL](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string) - try: - col = col.group(1) - except AttributeError: - """ - Catch error if images labelled incorrectly and pass reasonable defaults - """ - return None, None - try: - lux = lux.group(1) - except AttributeError: - """ - Catch error if images labelled incorrectly and pass reasonable defaults - Still returns colour if that has been found. - """ - return col, None - return int(col), int(lux) - - -""" -Camera object that is the backbone of the tuning tool. -Input is the desired path of the output json. -""" -class Camera: - def __init__(self, jfile, json): - self.path = os.path.dirname(os.path.expanduser(__file__)) + '/' - if self.path == '/': - self.path = '' - self.imgs = [] - self.imgs_alsc = [] - self.imgs_cac = [] - self.log = 'Log created : ' + time.asctime(time.localtime(time.time())) - self.log_separator = '\n'+'-'*70+'\n' - self.jf = jfile - """ - initial json dict populated by uncalibrated values - """ - self.json = json - - """ - Perform colour correction calibrations by comparing macbeth patch colours - to standard macbeth chart colours. - """ - def ccm_cal(self, do_alsc_colour, grid_size): - if 'rpi.ccm' in self.disable: - return 1 - print('\nStarting CCM calibration') - self.log_new_sec('CCM') - """ - if image is greyscale then CCm makes no sense - """ - if self.grey: - print('\nERROR: Can\'t do CCM on greyscale image!') - self.log += '\nERROR: Cannot perform CCM calibration ' - self.log += 'on greyscale image!\nCCM aborted!' - del self.json['rpi.ccm'] - return 0 - a = time.time() - """ - Check if alsc tables have been generated, if not then do ccm without - alsc - """ - if ("rpi.alsc" not in self.disable) and do_alsc_colour: - """ - case where ALSC colour has been done, so no errors should be - expected... - """ - try: - cal_cr_list = self.json['rpi.alsc']['calibrations_Cr'] - cal_cb_list = self.json['rpi.alsc']['calibrations_Cb'] - self.log += '\nALSC tables found successfully' - except KeyError: - cal_cr_list, cal_cb_list = None, None - print('WARNING! No ALSC tables found for CCM!') - print('Performing CCM calibrations without ALSC correction...') - self.log += '\nWARNING: No ALSC tables found.\nCCM calibration ' - self.log += 'performed without ALSC correction...' - else: - """ - case where config options result in CCM done without ALSC colour tables - """ - cal_cr_list, cal_cb_list = None, None - self.log += '\nWARNING: No ALSC tables found.\nCCM calibration ' - self.log += 'performed without ALSC correction...' - - """ - Do CCM calibration - """ - try: - ccms = ccm(self, cal_cr_list, cal_cb_list, grid_size) - except ArithmeticError: - print('ERROR: Matrix is singular!\nTake new pictures and try again...') - self.log += '\nERROR: Singular matrix encountered during fit!' - self.log += '\nCCM aborted!' - return 1 - """ - Write output to json - """ - self.json['rpi.ccm']['ccms'] = ccms - self.log += '\nCCM calibration written to json file' - print('Finished CCM calibration') - - """ - Perform chromatic abberation correction using multiple dots images. - """ - def cac_cal(self, do_alsc_colour): - if 'rpi.cac' in self.disable: - return 1 - print('\nStarting CAC calibration') - self.log_new_sec('CAC') - """ - check if cac images have been taken - """ - if len(self.imgs_cac) == 0: - print('\nError:\nNo cac calibration images found') - self.log += '\nERROR: No CAC calibration images found!' - self.log += '\nCAC calibration aborted!' - return 1 - """ - if image is greyscale then CAC makes no sense - """ - if self.grey: - print('\nERROR: Can\'t do CAC on greyscale image!') - self.log += '\nERROR: Cannot perform CAC calibration ' - self.log += 'on greyscale image!\nCAC aborted!' - del self.json['rpi.cac'] - return 0 - a = time.time() - """ - Check if camera is greyscale or color. If not greyscale, then perform cac - """ - if do_alsc_colour: - """ - Here we have a color sensor. Perform cac - """ - try: - cacs = cac(self) - except ArithmeticError: - print('ERROR: Matrix is singular!\nTake new pictures and try again...') - self.log += '\nERROR: Singular matrix encountered during fit!' - self.log += '\nCCM aborted!' - return 1 - else: - """ - case where config options suggest greyscale camera. No point in doing CAC - """ - cal_cr_list, cal_cb_list = None, None - self.log += '\nWARNING: No ALSC tables found.\nCCM calibration ' - self.log += 'performed without ALSC correction...' - - """ - Write output to json - """ - self.json['rpi.cac']['cac'] = cacs - self.log += '\nCCM calibration written to json file' - print('Finished CCM calibration') - - - """ - Auto white balance calibration produces a colour curve for - various colour temperatures, as well as providing a maximum 'wiggle room' - distance from this curve (transverse_neg/pos). - """ - def awb_cal(self, greyworld, do_alsc_colour, grid_size): - if 'rpi.awb' in self.disable: - return 1 - print('\nStarting AWB calibration') - self.log_new_sec('AWB') - """ - if image is greyscale then AWB makes no sense - """ - if self.grey: - print('\nERROR: Can\'t do AWB on greyscale image!') - self.log += '\nERROR: Cannot perform AWB calibration ' - self.log += 'on greyscale image!\nAWB aborted!' - del self.json['rpi.awb'] - return 0 - """ - optional set greyworld (e.g. for noir cameras) - """ - if greyworld: - self.json['rpi.awb']['bayes'] = 0 - self.log += '\nGreyworld set' - """ - Check if alsc tables have been generated, if not then do awb without - alsc correction - """ - if ("rpi.alsc" not in self.disable) and do_alsc_colour: - try: - cal_cr_list = self.json['rpi.alsc']['calibrations_Cr'] - cal_cb_list = self.json['rpi.alsc']['calibrations_Cb'] - self.log += '\nALSC tables found successfully' - except KeyError: - cal_cr_list, cal_cb_list = None, None - print('ERROR, no ALSC calibrations found for AWB') - print('Performing AWB without ALSC tables') - self.log += '\nWARNING: No ALSC tables found.\nAWB calibration ' - self.log += 'performed without ALSC correction...' - else: - cal_cr_list, cal_cb_list = None, None - self.log += '\nWARNING: No ALSC tables found.\nAWB calibration ' - self.log += 'performed without ALSC correction...' - """ - call calibration function - """ - plot = "rpi.awb" in self.plot - awb_out = awb(self, cal_cr_list, cal_cb_list, plot, grid_size) - ct_curve, transverse_neg, transverse_pos = awb_out - """ - write output to json - """ - self.json['rpi.awb']['ct_curve'] = ct_curve - self.json['rpi.awb']['sensitivity_r'] = 1.0 - self.json['rpi.awb']['sensitivity_b'] = 1.0 - self.json['rpi.awb']['transverse_pos'] = transverse_pos - self.json['rpi.awb']['transverse_neg'] = transverse_neg - self.log += '\nAWB calibration written to json file' - print('Finished AWB calibration') - - """ - Auto lens shading correction completely mitigates the effects of lens shading for ech - colour channel seperately, and then partially corrects for vignetting. - The extent of the correction depends on the 'luminance_strength' parameter. - """ - def alsc_cal(self, luminance_strength, do_alsc_colour, grid_size): - if 'rpi.alsc' in self.disable: - return 1 - print('\nStarting ALSC calibration') - self.log_new_sec('ALSC') - """ - check if alsc images have been taken - """ - if len(self.imgs_alsc) == 0: - print('\nError:\nNo alsc calibration images found') - self.log += '\nERROR: No ALSC calibration images found!' - self.log += '\nALSC calibration aborted!' - return 1 - self.json['rpi.alsc']['luminance_strength'] = luminance_strength - if self.grey and do_alsc_colour: - print('Greyscale camera so only luminance_lut calculated') - do_alsc_colour = False - self.log += '\nWARNING: ALSC colour correction cannot be done on ' - self.log += 'greyscale image!\nALSC colour corrections forced off!' - """ - call calibration function - """ - plot = "rpi.alsc" in self.plot - alsc_out = alsc_all(self, do_alsc_colour, plot, grid_size) - cal_cr_list, cal_cb_list, luminance_lut, av_corn = alsc_out - """ - write ouput to json and finish if not do_alsc_colour - """ - if not do_alsc_colour: - self.json['rpi.alsc']['luminance_lut'] = luminance_lut - self.json['rpi.alsc']['n_iter'] = 0 - self.log += '\nALSC calibrations written to json file' - self.log += '\nNo colour calibrations performed' - print('Finished ALSC calibrations') - return 1 - - self.json['rpi.alsc']['calibrations_Cr'] = cal_cr_list - self.json['rpi.alsc']['calibrations_Cb'] = cal_cb_list - self.json['rpi.alsc']['luminance_lut'] = luminance_lut - self.log += '\nALSC colour and luminance tables written to json file' - - """ - The sigmas determine the strength of the adaptive algorithm, that - cleans up any lens shading that has slipped through the alsc. These are - determined by measuring a 'worst-case' difference between two alsc tables - that are adjacent in colour space. If, however, only one colour - temperature has been provided, then this difference can not be computed - as only one table is available. - To determine the sigmas you would have to estimate the error of an alsc - table with only the image it was taken on as a check. To avoid circularity, - dfault exaggerated sigmas are used, which can result in too much alsc and - is therefore not advised. - In general, just take another alsc picture at another colour temperature! - """ - - if len(self.imgs_alsc) == 1: - self.json['rpi.alsc']['sigma'] = 0.005 - self.json['rpi.alsc']['sigma_Cb'] = 0.005 - print('\nWarning:\nOnly one alsc calibration found' - '\nStandard sigmas used for adaptive algorithm.') - print('Finished ALSC calibrations') - self.log += '\nWARNING: Only one colour temperature found in ' - self.log += 'calibration images.\nStandard sigmas used for adaptive ' - self.log += 'algorithm!' - return 1 - - """ - obtain worst-case scenario residual sigmas - """ - sigma_r, sigma_b = get_sigma(self, cal_cr_list, cal_cb_list, grid_size) - """ - write output to json - """ - self.json['rpi.alsc']['sigma'] = np.round(sigma_r, 5) - self.json['rpi.alsc']['sigma_Cb'] = np.round(sigma_b, 5) - self.log += '\nCalibrated sigmas written to json file' - print('Finished ALSC calibrations') - - """ - Green equalisation fixes problems caused by discrepancies in green - channels. This is done by measuring the effect on macbeth chart patches, - which ideally would have the same green values throughout. - An upper bound linear model is fit, fixing a threshold for the green - differences that are corrected. - """ - def geq_cal(self): - if 'rpi.geq' in self.disable: - return 1 - print('\nStarting GEQ calibrations') - self.log_new_sec('GEQ') - """ - perform calibration - """ - plot = 'rpi.geq' in self.plot - slope, offset = geq_fit(self, plot) - """ - write output to json - """ - self.json['rpi.geq']['offset'] = offset - self.json['rpi.geq']['slope'] = slope - self.log += '\nGEQ calibrations written to json file' - print('Finished GEQ calibrations') - - """ - Lux calibrations allow the lux level of a scene to be estimated by a ratio - calculation. Lux values are used in the pipeline for algorithms such as AGC - and AWB - """ - def lux_cal(self): - if 'rpi.lux' in self.disable: - return 1 - print('\nStarting LUX calibrations') - self.log_new_sec('LUX') - """ - The lux calibration is done on a single image. For best effects, the - image with lux level closest to 1000 is chosen. - """ - luxes = [Img.lux for Img in self.imgs] - argmax = luxes.index(min(luxes, key=lambda l: abs(1000-l))) - Img = self.imgs[argmax] - self.log += '\nLux found closest to 1000: {} lx'.format(Img.lux) - self.log += '\nImage used: ' + Img.name - if Img.lux < 50: - self.log += '\nWARNING: Low lux could cause inaccurate calibrations!' - """ - do calibration - """ - lux_out, shutter_speed, gain = lux(self, Img) - """ - write output to json - """ - self.json['rpi.lux']['reference_shutter_speed'] = shutter_speed - self.json['rpi.lux']['reference_gain'] = gain - self.json['rpi.lux']['reference_lux'] = Img.lux - self.json['rpi.lux']['reference_Y'] = lux_out - self.log += '\nLUX calibrations written to json file' - print('Finished LUX calibrations') - - """ - Noise alibration attempts to describe the noise profile of the sensor. The - calibration is run on macbeth images and the final output is taken as the average - """ - def noise_cal(self): - if 'rpi.noise' in self.disable: - return 1 - print('\nStarting NOISE calibrations') - self.log_new_sec('NOISE') - """ - run calibration on all images and sort by slope. - """ - plot = "rpi.noise" in self.plot - noise_out = sorted([noise(self, Img, plot) for Img in self.imgs], key=lambda x: x[0]) - self.log += '\nFinished processing images' - """ - take the average of the interquartile - """ - length = len(noise_out) - noise_out = np.mean(noise_out[length//4:1+3*length//4], axis=0) - self.log += '\nAverage noise profile: constant = {} '.format(int(noise_out[1])) - self.log += 'slope = {:.3f}'.format(noise_out[0]) - """ - write to json - """ - self.json['rpi.noise']['reference_constant'] = int(noise_out[1]) - self.json['rpi.noise']['reference_slope'] = round(noise_out[0], 3) - self.log += '\nNOISE calibrations written to json' - print('Finished NOISE calibrations') - - """ - Removes json entries that are turned off - """ - def json_remove(self, disable): - self.log_new_sec('Disabling Options', cal=False) - if len(self.disable) == 0: - self.log += '\nNothing disabled!' - return 1 - for key in disable: - try: - del self.json[key] - self.log += '\nDisabled: ' + key - except KeyError: - self.log += '\nERROR: ' + key + ' not found!' - """ - writes the json dictionary to the raw json file then make pretty - """ - def write_json(self, version=2.0, target='bcm2835', grid_size=(16, 12)): - """ - Write json dictionary to file using our version 2 format - """ - - out_json = { - "version": version, - 'target': target, - "algorithms": [{name: data} for name, data in self.json.items()], - } - - with open(self.jf, 'w') as f: - f.write(pretty_print(out_json, - custom_elems={'table': grid_size[0], 'luminance_lut': grid_size[0]})) - - """ - add a new section to the log file - """ - def log_new_sec(self, section, cal=True): - self.log += '\n'+self.log_separator - self.log += section - if cal: - self.log += ' Calibration' - self.log += self.log_separator - - """ - write script arguments to log file - """ - def log_user_input(self, json_output, directory, config, log_output): - self.log_new_sec('User Arguments', cal=False) - self.log += '\nJson file output: ' + json_output - self.log += '\nCalibration images directory: ' + directory - if config is None: - self.log += '\nNo configuration file input... using default options' - elif config is False: - self.log += '\nWARNING: Invalid configuration file path...' - self.log += ' using default options' - elif config is True: - self.log += '\nWARNING: Invalid syntax in configuration file...' - self.log += ' using default options' - else: - self.log += '\nConfiguration file: ' + config - if log_output is None: - self.log += '\nNo log file path input... using default: ctt_log.txt' - else: - self.log += '\nLog file output: ' + log_output - - # if log_output - - """ - write log file - """ - def write_log(self, filename): - if filename is None: - filename = 'ctt_log.txt' - self.log += '\n' + self.log_separator - with open(filename, 'w') as logfile: - logfile.write(self.log) - - """ - Add all images from directory, pass into relevant list of images and - extrace lux and temperature values. - """ - def add_imgs(self, directory, mac_config, blacklevel=-1): - self.log_new_sec('Image Loading', cal=False) - img_suc_msg = 'Image loaded successfully!' - print('\n\nLoading images from '+directory) - self.log += '\nDirectory: ' + directory - """ - get list of files - """ - filename_list = get_photos(directory) - print("Files found: {}".format(len(filename_list))) - self.log += '\nFiles found: {}'.format(len(filename_list)) - """ - iterate over files - """ - filename_list.sort() - for filename in filename_list: - address = directory + filename - print('\nLoading image: '+filename) - self.log += '\n\nImage: ' + filename - """ - obtain colour and lux value - """ - col, lux = get_col_lux(filename) - """ - Check if image is an alsc calibration image - """ - if 'alsc' in filename: - Img = load_image(self, address, mac=False) - self.log += '\nIdentified as an ALSC image' - """ - check if imagae data has been successfully unpacked - """ - if Img == 0: - print('\nDISCARDED') - self.log += '\nImage discarded!' - continue - """ - check that image colour temperature has been successfuly obtained - """ - elif col is not None: - """ - if successful, append to list and continue to next image - """ - Img.col = col - Img.name = filename - self.log += '\nColour temperature: {} K'.format(col) - self.imgs_alsc.append(Img) - if blacklevel != -1: - Img.blacklevel_16 = blacklevel - print(img_suc_msg) - continue - else: - print('Error! No colour temperature found!') - self.log += '\nWARNING: Error reading colour temperature' - self.log += '\nImage discarded!' - print('DISCARDED') - elif 'cac' in filename: - Img = load_image(self, address, mac=False) - self.log += '\nIdentified as an CAC image' - Img.name = filename - self.log += '\nColour temperature: {} K'.format(col) - self.imgs_cac.append(Img) - if blacklevel != -1: - Img.blacklevel_16 = blacklevel - print(img_suc_msg) - continue - else: - self.log += '\nIdentified as macbeth chart image' - """ - if image isn't an alsc correction then it must have a lux and a - colour temperature value to be useful - """ - if lux is None: - print('DISCARDED') - self.log += '\nWARNING: Error reading lux value' - self.log += '\nImage discarded!' - continue - Img = load_image(self, address, mac_config) - """ - check that image data has been successfuly unpacked - """ - if Img == 0: - print('DISCARDED') - self.log += '\nImage discarded!' - continue - else: - """ - if successful, append to list and continue to next image - """ - Img.col, Img.lux = col, lux - Img.name = filename - self.log += '\nColour temperature: {} K'.format(col) - self.log += '\nLux value: {} lx'.format(lux) - if blacklevel != -1: - Img.blacklevel_16 = blacklevel - print(img_suc_msg) - self.imgs.append(Img) - - print('\nFinished loading images') - - """ - Check that usable images have been found - Possible errors include: - - no macbeth chart - - incorrect filename/extension - - images from different cameras - """ - def check_imgs(self, macbeth=True): - self.log += '\n\nImages found:' - self.log += '\nMacbeth : {}'.format(len(self.imgs)) - self.log += '\nALSC : {} '.format(len(self.imgs_alsc)) - self.log += '\nCAC: {} '.format(len(self.imgs_cac)) - self.log += '\n\nCamera metadata' - """ - check usable images found - """ - if len(self.imgs) == 0 and macbeth: - print('\nERROR: No usable macbeth chart images found') - self.log += '\nERROR: No usable macbeth chart images found' - return 0 - elif len(self.imgs) == 0 and len(self.imgs_alsc) == 0 and len(self.imgs_cac) == 0: - print('\nERROR: No usable images found') - self.log += '\nERROR: No usable images found' - return 0 - """ - Double check that every image has come from the same camera... - """ - all_imgs = self.imgs + self.imgs_alsc + self.imgs_cac - camNames = list(set([Img.camName for Img in all_imgs])) - patterns = list(set([Img.pattern for Img in all_imgs])) - sigbitss = list(set([Img.sigbits for Img in all_imgs])) - blacklevels = list(set([Img.blacklevel_16 for Img in all_imgs])) - sizes = list(set([(Img.w, Img.h) for Img in all_imgs])) - - if 1: - self.grey = (patterns[0] == 128) - self.blacklevel_16 = blacklevels[0] - self.log += '\nName: {}'.format(camNames[0]) - self.log += '\nBayer pattern case: {}'.format(patterns[0]) - if self.grey: - self.log += '\nGreyscale camera identified' - self.log += '\nSignificant bits: {}'.format(sigbitss[0]) - self.log += '\nBlacklevel: {}'.format(blacklevels[0]) - self.log += '\nImage size: w = {} h = {}'.format(sizes[0][0], sizes[0][1]) - return 1 - else: - print('\nERROR: Images from different cameras') - self.log += '\nERROR: Images are from different cameras' - return 0 - - -def run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=False): - """ - check input files are jsons - """ - if json_output[-5:] != '.json': - raise ArgError('\n\nError: Output must be a json file!') - if config is not None: - """ - check if config file is actually a json - """ - if config[-5:] != '.json': - raise ArgError('\n\nError: Config file must be a json file!') - """ - read configurations - """ - try: - with open(config, 'r') as config_json: - configs = json.load(config_json) - except FileNotFoundError: - configs = {} - config = False - except json.decoder.JSONDecodeError: - configs = {} - config = True - - else: - configs = {} - """ - load configurations from config file, if not given then set default - """ - disable = get_config(configs, "disable", [], 'list') - plot = get_config(configs, "plot", [], 'list') - awb_d = get_config(configs, "awb", {}, 'dict') - greyworld = get_config(awb_d, "greyworld", 0, 'bool') - alsc_d = get_config(configs, "alsc", {}, 'dict') - do_alsc_colour = get_config(alsc_d, "do_alsc_colour", 1, 'bool') - luminance_strength = get_config(alsc_d, "luminance_strength", 0.8, 'num') - blacklevel = get_config(configs, "blacklevel", -1, 'num') - macbeth_d = get_config(configs, "macbeth", {}, 'dict') - mac_small = get_config(macbeth_d, "small", 0, 'bool') - mac_show = get_config(macbeth_d, "show", 0, 'bool') - mac_config = (mac_small, mac_show) - cac_d = get_config(configs, "cac", {}, 'dict') - - if blacklevel < -1 or blacklevel >= 2**16: - print('\nInvalid blacklevel, defaulted to 64') - blacklevel = -1 - - if luminance_strength < 0 or luminance_strength > 1: - print('\nInvalid luminance_strength strength, defaulted to 0.5') - luminance_strength = 0.5 - - """ - sanitise directory path - """ - if directory[-1] != '/': - directory += '/' - """ - initialise tuning tool and load images - """ - try: - Cam = Camera(json_output, json=json_template) - Cam.log_user_input(json_output, directory, config, log_output) - if alsc_only: - disable = set(Cam.json.keys()).symmetric_difference({"rpi.alsc"}) - Cam.disable = disable - Cam.plot = plot - Cam.add_imgs(directory, mac_config, blacklevel) - except FileNotFoundError: - raise ArgError('\n\nError: Input image directory not found!') - - """ - preform calibrations as long as check_imgs returns True - If alsc is activated then it must be done before awb and ccm since the alsc - tables are used in awb and ccm calibrations - ccm also technically does an awb but it measures this from the macbeth - chart in the image rather than using calibration data - """ - if Cam.check_imgs(macbeth=not alsc_only): - if not alsc_only: - Cam.json['rpi.black_level']['black_level'] = Cam.blacklevel_16 - Cam.json_remove(disable) - print('\nSTARTING CALIBRATIONS') - Cam.alsc_cal(luminance_strength, do_alsc_colour, grid_size) - Cam.geq_cal() - Cam.lux_cal() - Cam.noise_cal() - if "rpi.cac" in json_template: - Cam.cac_cal(do_alsc_colour) - Cam.awb_cal(greyworld, do_alsc_colour, grid_size) - Cam.ccm_cal(do_alsc_colour, grid_size) - - print('\nFINISHED CALIBRATIONS') - Cam.write_json(target=target, grid_size=grid_size) - Cam.write_log(log_output) - print('\nCalibrations written to: '+json_output) - if log_output is None: - log_output = 'ctt_log.txt' - print('Log file written to: '+log_output) - pass - else: - Cam.write_log(log_output) diff --git a/utils/raspberrypi/ctt/ctt_tools.py b/utils/raspberrypi/ctt/ctt_tools.py index 79195289..f0d82589 100644 --- a/utils/raspberrypi/ctt/ctt_tools.py +++ b/utils/raspberrypi/ctt/ctt_tools.py @@ -65,11 +65,12 @@ def parse_input(): directory = get_config(args_dict, '-i', None, 'string') config = get_config(args_dict, '-c', None, 'string') log_path = get_config(args_dict, '-l', None, 'string') + target = get_config(args_dict, '-t', "vc4", 'string') if directory is None: raise ArgError('\n\nERROR! No input directory given.') if json_output is None: raise ArgError('\n\nERROR! No output json given.') - return json_output, directory, config, log_path + return json_output, directory, config, log_path, target """ diff --git a/utils/raspberrypi/ctt/ctt_vc4.py b/utils/raspberrypi/ctt/ctt_vc4.py index 86acfd47..7154e110 100755 --- a/utils/raspberrypi/ctt/ctt_vc4.py +++ b/utils/raspberrypi/ctt/ctt_vc4.py @@ -4,13 +4,8 @@ # # Copyright (C) 2019, Raspberry Pi Ltd # -# ctt_vc4.py - camera tuning tool for VC4 platforms +# ctt_vc4.py - camera tuning tool data for VC4 platforms -import os -import sys - -from ctt_run import run_ctt -from ctt_tools import parse_input json_template = { "rpi.black_level": { @@ -129,29 +124,3 @@ json_template = { } grid_size = (16, 12) - -target = 'bcm2835' - -if __name__ == '__main__': - """ - initialise calibration - """ - if len(sys.argv) == 1: - print(""" - VC4 Camera Tuning Tool version 1.0 - - Required Arguments: - '-i' : Calibration image directory. - '-o' : Name of output json file. - - Optional Arguments: - '-c' : Config file for the CTT. If not passed, default parameters used. - '-l' : Name of output log file. If not passed, 'ctt_log.txt' used. - """) - quit(0) - else: - """ - parse input arguments - """ - json_output, directory, config, log_output = parse_input() - run_ctt(json_output, directory, config, log_output, json_template, grid_size, target) -- cgit v1.2.1