src/apps/qcam

#!/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_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 two lists:
    - imgs (macbeth charts)
    - imgs_alsc (alsc 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):
        self.path = os.path.dirname(os.path.expanduser(__file__)) + '/'
        if self.path == '/':
            self.path = ''
        self.imgs = []
        self.imgs_alsc = []
        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": {
            }
        }

    """
    Perform colour correction calibrations by comparing macbeth patch colours
    to standard macbeth chart colours.
    """
    def ccm_cal(self, do_alsc_colour):
        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)
        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')

    """
    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):
        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)
        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):
        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!'
Mode	Name	Size
d---------	assets	72	log plain
-rw-r--r--	cam_select_dialog.cpp	3031	log plain
-rw-r--r--	cam_select_dialog.h	947	log plain
-rw-r--r--	format_converter.cpp	8153	log plain
-rw-r--r--	format_converter.h	1212	log plain
-rw-r--r--	main.cpp	2037	log plain
-rw-r--r--	main_window.cpp	19054	log plain
-rw-r--r--	main_window.h	3031	log plain
-rw-r--r--	meson.build	2117	log plain
-rw-r--r--	message_handler.cpp	654	log plain
-rw-r--r--	message_handler.h	468	log plain
-rw-r--r--	viewfinder.h	766	log plain
-rw-r--r--	viewfinder_gl.cpp	22147	log plain
-rw-r--r--	viewfinder_gl.h	2616	log plain
-rw-r--r--	viewfinder_qt.cpp	4131	log plain
-rw-r--r--	viewfinder_qt.h	1374	log plain