/* SPDX-License-Identifier: BSD-2-Clause */ /* * Copyright (C) 2019, Raspberry Pi Ltd * * cam_helper.h - helper class providing camera information */ #pragma once #include #include #include #include #include #include "camera_mode.h" #include "controller/controller.h" #include "controller/metadata.h" #include "md_parser.h" #include "libcamera/internal/v4l2_videodevice.h" namespace RPiController { /* * The CamHelper class provides a number of facilities that anyone trying * to drive a camera will need to know, but which are not provided by the * standard driver framework. Specifically, it provides: * * A "CameraMode" structure to describe extra information about the chosen * mode of the driver. For example, how it is cropped from the full sensor * area, how it is scaled, whether pixels are averaged compared to the full * resolution. * * The ability to convert between number of lines of exposure and actual * exposure time, and to convert between the sensor's gain codes and actual * gains. * * A function to return the number of frames of delay between updating exposure, * analogue gain and vblanking, and for the changes to take effect. For many * sensors these take the values 2, 1 and 2 respectively, but sensors that are * different will need to over-ride the default function provided. * * A function to query if the sensor outputs embedded data that can be parsed. * * A function to return the sensitivity of a given camera mode. * * A parser to parse the embedded data buffers provided by some sensors (for * example, the imx219 does; the ov5647 doesn't). This allows us to know for * sure the exposure and gain of the frame we're looking at. CamHelper * provides functions for converting analogue gains to and from the sensor's * native gain codes. * * Finally, a set of functions that determine how to handle the vagaries of * different camera modules on start-up or when switching modes. Some * modules may produce one or more frames that are not yet correctly exposed, * or where the metadata may be suspect. We have the following functions: * HideFramesStartup(): Tell the pipeline handler not to return this many * frames at start-up. This can also be used to hide initial frames * while the AGC and other algorithms are sorting themselves out. * HideFramesModeSwitch(): Tell the pipeline handler not to return this * many frames after a mode switch (other than start-up). Some sensors * may produce innvalid frames after a mode switch; others may not. * MistrustFramesStartup(): At start-up a sensor may return frames for * which we should not run any control algorithms (for example, metadata * may be invalid). * MistrustFramesModeSwitch(): The number of frames, after a mode switch * (other than start-up), for which control algorithms should not run * (for example, metadata may be unreliable). */ class CamHelper { public: static CamHelper *create(std::string const &camName); CamHelper(std::unique_ptr parser, unsigned int frameIntegrationDiff); virtual ~CamHelper(); void setCameraMode(const CameraMode &mode); virtual void prepare(libcamera::Span buffer, Metadata &metadata); virtual void process(StatisticsPtr &stats, Metadata &metadata); virtual uint32_t exposureLines(const libcamera::utils::Duration exposure, const libcamera::utils::Duration lineLength) const; virtual libcamera::utils::Duration exposure(uint32_t exposureLines, const libcamera::utils::Duration lineLength) const; virtual std::pair getBlanking(libcamera::utils::Duration &exposure, libcamera::utils::Duration minFrameDuration, libcamera::utils::Duration maxFrameDuration) const; libcamera::utils::Duration hblankToLineLength(uint32_t hblank) const; uint32_t lineLengthToHblank(const libcamera::utils::Duration &duration) const; libcamera::utils::Duration lineLengthPckToDuration(uint32_t lineLengthPck) const; virtual uint32_t gainCode(double gain) const = 0; virtual double gain(uint32_t gainCode) const = 0; virtual void getDelays(int &exposureDelay, int &gainDelay, int &vblankDelay, int &hblankDelay) const; virtual bool sensorEmbeddedDataPresent() const; virtual double getModeSensitivity(const CameraMode &mode) const; virtual unsigned int hideFramesStartup() const; virtual unsigned int hideFramesModeSwitch() const; virtual unsigned int mistrustFramesStartup() const; virtual unsigned int mistrustFramesModeSwitch() const; protected: void parseEmbeddedData(libcamera::Span buffer, Metadata &metadata); virtual void populateMetadata(const MdParser::RegisterMap ®isters, Metadata &metadata) const; std::unique_ptr parser_; CameraMode mode_; private: /* * Smallest difference between the frame length and integration time, * in units of lines. */ unsigned int frameIntegrationDiff_; }; /* * This is for registering camera helpers with the system, so that the * CamHelper::Create function picks them up automatically. */ typedef CamHelper *(*CamHelperCreateFunc)(); struct RegisterCamHelper { RegisterCamHelper(char const *camName, CamHelperCreateFunc createFunc); }; } /* namespace RPi */ 'n64' href='#n64'>64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826

#!/usr/bin/env python3
#
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (C) 2019, Raspberry Pi (Trading) Limited
#
# 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 *
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": {