diff options
Diffstat (limited to 'utils/raspberrypi/ctt/ctt.py')
| -rwxr-xr-x | utils/raspberrypi/ctt/ctt.py | 257 |
1 files changed, 111 insertions, 146 deletions
diff --git a/utils/raspberrypi/ctt/ctt.py b/utils/raspberrypi/ctt/ctt.py index cd89f177..96f1b5e6 100755 --- a/utils/raspberrypi/ctt/ctt.py +++ b/utils/raspberrypi/ctt/ctt.py @@ -4,11 +4,12 @@ # # Copyright (C) 2019, Raspberry Pi Ltd # -# ctt.py - camera tuning tool +# 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 * @@ -22,9 +23,10 @@ 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 two lists: +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 @@ -67,139 +69,26 @@ 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): + 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 = { - "rpi.black_level": { - "black_level": 4096 - }, - "rpi.dpc": { - }, - "rpi.lux": { - "reference_shutter_speed": 10000, - "reference_gain": 1, - "reference_aperture": 1.0 - }, - "rpi.noise": { - }, - "rpi.geq": { - }, - "rpi.sdn": { - }, - "rpi.awb": { - "priors": [ - {"lux": 0, "prior": [2000, 1.0, 3000, 0.0, 13000, 0.0]}, - {"lux": 800, "prior": [2000, 0.0, 6000, 2.0, 13000, 2.0]}, - {"lux": 1500, "prior": [2000, 0.0, 4000, 1.0, 6000, 6.0, 6500, 7.0, 7000, 1.0, 13000, 1.0]} - ], - "modes": { - "auto": {"lo": 2500, "hi": 8000}, - "incandescent": {"lo": 2500, "hi": 3000}, - "tungsten": {"lo": 3000, "hi": 3500}, - "fluorescent": {"lo": 4000, "hi": 4700}, - "indoor": {"lo": 3000, "hi": 5000}, - "daylight": {"lo": 5500, "hi": 6500}, - "cloudy": {"lo": 7000, "hi": 8600} - }, - "bayes": 1 - }, - "rpi.agc": { - "metering_modes": { - "centre-weighted": { - "weights": [3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0] - }, - "spot": { - "weights": [2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] - }, - "matrix": { - "weights": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - } - }, - "exposure_modes": { - "normal": { - "shutter": [100, 10000, 30000, 60000, 120000], - "gain": [1.0, 2.0, 4.0, 6.0, 6.0] - }, - "short": { - "shutter": [100, 5000, 10000, 20000, 120000], - "gain": [1.0, 2.0, 4.0, 6.0, 6.0] - } - }, - "constraint_modes": { - "normal": [ - {"bound": "LOWER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.5, 1000, 0.5]} - ], - "highlight": [ - {"bound": "LOWER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.5, 1000, 0.5]}, - {"bound": "UPPER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.8, 1000, 0.8]} - ] - }, - "y_target": [0, 0.16, 1000, 0.165, 10000, 0.17] - }, - "rpi.alsc": { - 'omega': 1.3, - 'n_iter': 100, - 'luminance_strength': 0.7, - }, - "rpi.contrast": { - "ce_enable": 1, - "gamma_curve": [ - 0, 0, - 1024, 5040, - 2048, 9338, - 3072, 12356, - 4096, 15312, - 5120, 18051, - 6144, 20790, - 7168, 23193, - 8192, 25744, - 9216, 27942, - 10240, 30035, - 11264, 32005, - 12288, 33975, - 13312, 35815, - 14336, 37600, - 15360, 39168, - 16384, 40642, - 18432, 43379, - 20480, 45749, - 22528, 47753, - 24576, 49621, - 26624, 51253, - 28672, 52698, - 30720, 53796, - 32768, 54876, - 36864, 57012, - 40960, 58656, - 45056, 59954, - 49152, 61183, - 53248, 62355, - 57344, 63419, - 61440, 64476, - 65535, 65535 - ] - }, - "rpi.ccm": { - }, - "rpi.sharpen": { - } - } + self.json = json """ Perform colour correction calibrations by comparing macbeth patch colours to standard macbeth chart colours. """ - def ccm_cal(self, do_alsc_colour): + def ccm_cal(self, do_alsc_colour, grid_size): if 'rpi.ccm' in self.disable: return 1 print('\nStarting CCM calibration') @@ -245,7 +134,7 @@ class Camera: Do CCM calibration """ try: - ccms = ccm(self, cal_cr_list, cal_cb_list) + 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!' @@ -259,11 +148,67 @@ class Camera: 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): + def awb_cal(self, greyworld, do_alsc_colour, grid_size): if 'rpi.awb' in self.disable: return 1 print('\nStarting AWB calibration') @@ -306,7 +251,7 @@ class Camera: call calibration function """ plot = "rpi.awb" in self.plot - awb_out = awb(self, cal_cr_list, cal_cb_list, 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 @@ -324,7 +269,7 @@ class Camera: 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): + def alsc_cal(self, luminance_strength, do_alsc_colour, grid_size, max_gain=8.0): if 'rpi.alsc' in self.disable: return 1 print('\nStarting ALSC calibration') @@ -347,10 +292,10 @@ class Camera: call calibration function """ plot = "rpi.alsc" in self.plot - alsc_out = alsc_all(self, do_alsc_colour, plot) + alsc_out = alsc_all(self, do_alsc_colour, plot, grid_size, max_gain=max_gain) cal_cr_list, cal_cb_list, luminance_lut, av_corn = alsc_out """ - write ouput to json and finish if not do_alsc_colour + write output to json and finish if not do_alsc_colour """ if not do_alsc_colour: self.json['rpi.alsc']['luminance_lut'] = luminance_lut @@ -393,7 +338,7 @@ class Camera: """ obtain worst-case scenario residual sigmas """ - sigma_r, sigma_b = get_sigma(self, cal_cr_list, cal_cb_list) + sigma_r, sigma_b = get_sigma(self, cal_cr_list, cal_cb_list, grid_size) """ write output to json """ @@ -509,19 +454,20 @@ class Camera: """ writes the json dictionary to the raw json file then make pretty """ - def write_json(self): + 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": 2.0, - 'target': 'bcm2835', + "version": version, + 'target': target if target != 'vc4' else 'bcm2835', "algorithms": [{name: data} for name, data in self.json.items()], } with open(self.jf, 'w') as f: - f.write(pretty_print(out_json)) + 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 @@ -627,6 +573,16 @@ class Camera: 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' """ @@ -672,6 +628,7 @@ class Camera: 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 @@ -680,22 +637,21 @@ class Camera: 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: + 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 + 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 len(camNames) == 1 and len(patterns) == 1 and len(sigbitss) == 1 and \ - len(blacklevels) == 1 and len(sizes) == 1: + if 1: self.grey = (patterns[0] == 128) self.blacklevel_16 = blacklevels[0] self.log += '\nName: {}'.format(camNames[0]) @@ -712,7 +668,7 @@ class Camera: return 0 -def run_ctt(json_output, directory, config, log_output, alsc_only=False): +def run_ctt(json_output, directory, config, log_output, json_template, grid_size, target, alsc_only=False): """ check input files are jsons """ @@ -748,12 +704,14 @@ def run_ctt(json_output, directory, config, log_output, alsc_only=False): 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", 0.5, 'num') + luminance_strength = get_config(alsc_d, "luminance_strength", 0.8, 'num') + lsc_max_gain = get_config(alsc_d, "max_gain", 8.0, '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) + print("Read lsc_max_gain", lsc_max_gain) if blacklevel < -1 or blacklevel >= 2**16: print('\nInvalid blacklevel, defaulted to 64') @@ -772,7 +730,7 @@ def run_ctt(json_output, directory, config, log_output, alsc_only=False): initialise tuning tool and load images """ try: - Cam = Camera(json_output) + 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"}) @@ -794,14 +752,17 @@ def run_ctt(json_output, directory, config, log_output, alsc_only=False): 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) + Cam.alsc_cal(luminance_strength, do_alsc_colour, grid_size, max_gain=lsc_max_gain) Cam.geq_cal() Cam.lux_cal() Cam.noise_cal() - Cam.awb_cal(greyworld, do_alsc_colour) - Cam.ccm_cal(do_alsc_colour) + 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() + 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: @@ -811,20 +772,19 @@ def run_ctt(json_output, directory, config, log_output, alsc_only=False): else: Cam.write_log(log_output) - if __name__ == '__main__': """ initialise calibration """ if len(sys.argv) == 1: print(""" - Pisp Camera Tuning Tool version 1.0 - + 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. """) @@ -833,5 +793,10 @@ if __name__ == '__main__': """ parse input arguments """ - json_output, directory, config, log_output = parse_input() - run_ctt(json_output, directory, config, log_output) + 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) |