libcamera/vivid.git - libcamera pipeline handler for VIVID

diff options

author	Laurent Pinchart <laurent.pinchart@ideasonboard.com>	2024-08-27 00:12:52 +0300
committer	Laurent Pinchart <laurent.pinchart@ideasonboard.com>	2024-08-27 12:16:10 +0300
commit	67b87ccb8796c5bd2a724f869db7fd948070146d (patch)
tree	3cc77bb2e7c37c628959623ac1afda469593e53a /test/object-invoke.cpp
parent	874b63d5cb3f772d361ce891721e7580b09dd378 (diff)

utils: update-kernel-headers: Support relative path to kernel git tree

When given a relative path to the kernel git tree, update-kernel-headers.sh fails to execute the headers_install.sh script from the kernel sources. Fix it by turning the kernel directory into an absolute path. Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Reviewed-by: Umang Jain <umang.jain@ideasonboard.com> Reviewed-by: Jacopo Mondi <jacopo.mondi@ideasonboard.com>

Diffstat (limited to 'test/object-invoke.cpp')

0 files changed, 0 insertions, 0 deletions

id='n21' href='#n21'>21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 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

/* SPDX-License-Identifier: BSD-2-Clause */
/*
 * Copyright (C) 2019, Raspberry Pi Ltd
 *
 * awb.cpp - AWB control algorithm
 */

#include <assert.h>
#include <functional>

#include <libcamera/base/log.h>

#include "../lux_status.h"

#include "awb.h"

using namespace RPiController;
using namespace libcamera;

LOG_DEFINE_CATEGORY(RPiAwb)

#define NAME "rpi.awb"

/*
 * todo - the locking in this algorithm needs some tidying up as has been done
 * elsewhere (ALSC and AGC).
 */

int AwbMode::read(const libcamera::YamlObject &params)
{
	auto value = params["lo"].get<double>();
	if (!value)
		return -EINVAL;
	ctLo = *value;

	value = params["hi"].get<double>();
	if (!value)
		return -EINVAL;
	ctHi = *value;

	return 0;
}

int AwbPrior::read(const libcamera::YamlObject &params)
{
	auto value = params["lux"].get<double>();
	if (!value)
		return -EINVAL;
	lux = *value;

	return prior.read(params["prior"]);
}

static int readCtCurve(Pwl &ctR, Pwl &ctB, const libcamera::YamlObject &params)
{
	if (params.size() % 3) {
		LOG(RPiAwb, Error) << "AwbConfig: incomplete CT curve entry";
		return -EINVAL;
	}

	if (params.size() < 6) {
		LOG(RPiAwb, Error) << "AwbConfig: insufficient points in CT curve";
		return -EINVAL;
	}

	const auto &list = params.asList();

	for (auto it = list.begin(); it != list.end(); it++) {
		auto value = it->get<double>();
		if (!value)
			return -EINVAL;
		double ct = *value;

		assert(it == list.begin() || ct != ctR.domain().end);

		value = (++it)->get<double>();
		if (!value)
			return -EINVAL;
		ctR.append(ct, *value);

		value = (++it)->get<double>();
		if (!value)
			return -EINVAL;
		ctB.append(ct, *value);
	}

	return 0;
}

int AwbConfig::read(const libcamera::YamlObject &params)
{
	int ret;

	bayes = params["bayes"].get<int>(1);
	framePeriod = params["frame_period"].get<uint16_t>(10);
	startupFrames = params["startup_frames"].get<uint16_t>(10);
	convergenceFrames = params["convergence_frames"].get<unsigned int>(3);
	speed = params["speed"].get<double>(0.05);

	if (params.contains("ct_curve")) {
		ret = readCtCurve(ctR, ctB, params["ct_curve"]);
		if (ret)
			return ret;
		/* We will want the inverse functions of these too. */
		ctRInverse = ctR.inverse();
		ctBInverse = ctB.inverse();
	}

	if (params.contains("priors")) {
		for (const auto &p : params["priors"].asList()) {
			AwbPrior prior;
			ret = prior.read(p);
			if (ret)
				return ret;
			if (!priors.empty() && prior.lux <= priors.back().lux) {
				LOG(RPiAwb, Error) << "AwbConfig: Prior must be ordered in increasing lux value";
				return -EINVAL;
			}
			priors.push_back(prior);
		}
		if (priors.empty()) {
			LOG(RPiAwb, Error) << "AwbConfig: no AWB priors configured";
			return ret;
		}
	}
	if (params.contains("modes")) {
		for (const auto &[key, value] : params["modes"].asDict()) {
			ret = modes[key].read(value);
			if (ret)
				return ret;
			if (defaultMode == nullptr)
				defaultMode = &modes[key];
		}
		if (defaultMode == nullptr) {
			LOG(RPiAwb, Error) << "AwbConfig: no AWB modes configured";
			return -EINVAL;
		}
	}

	minPixels = params["min_pixels"].get<double>(16.0);
	minG = params["min_G"].get<uint16_t>(32);
	minRegions = params["min_regions"].get<uint32_t>(10);
	deltaLimit = params["delta_limit"].get<double>(0.2);
	coarseStep = params["coarse_step"].get<double>(0.2);
	transversePos = params["transverse_pos"].get<double>(0.01);
	transverseNeg = params["transverse_neg"].get<double>(0.01);
	if (transversePos <= 0 || transverseNeg <= 0) {
		LOG(RPiAwb, Error) << "AwbConfig: transverse_pos/neg must be > 0";
		return -EINVAL;
	}

	sensitivityR = params["sensitivity_r"].get<double>(1.0);
	sensitivityB = params["sensitivity_b"].get<double>(1.0);

	if (bayes) {
		if (ctR.empty() || ctB.empty() || priors.empty() ||
		    defaultMode == nullptr) {
			LOG(RPiAwb, Warning)
				<< "Bayesian AWB mis-configured - switch to Grey method";
			bayes = false;
		}
	}
	fast = params[fast].get<int>(bayes); /* default to fast for Bayesian, otherwise slow */
	whitepointR = params["whitepoint_r"].get<double>(0.0);
	whitepointB = params["whitepoint_b"].get<double>(0.0);
	if (bayes == false)
		sensitivityR = sensitivityB = 1.0; /* nor do sensitivities make any sense */
	return 0;
}

Awb::Awb(Controller *controller)
	: AwbAlgorithm(controller)
{
	asyncAbort_ = asyncStart_ = asyncStarted_ = asyncFinished_ = false;
	mode_ = nullptr;
	manualR_ = manualB_ = 0.0;
	asyncThread_ = std::thread(std::bind(&Awb::asyncFunc, this));
}

Awb::~Awb()
{
	{
		std::lock_guard<std::mutex> lock(mutex_);
		asyncAbort_ = true;
	}
	asyncSignal_.notify_one();
	asyncThread_.join();
}

char const *Awb::name() const
{
	return NAME;
}

int Awb::read(const libcamera::YamlObject &params)
{
	return config_.read(params);
}

void Awb::initialise()
{
	frameCount_ = framePhase_ = 0;
	/*
	 * Put something sane into the status that we are filtering towards,
	 * just in case the first few frames don't have anything meaningful in
	 * them.
	 */
	if (!config_.ctR.empty() && !config_.ctB.empty()) {
		syncResults_.temperatureK = config_.ctR.domain().clip(4000);
		syncResults_.gainR = 1.0 / config_.ctR.eval(syncResults_.temperatureK);
		syncResults_.gainG = 1.0;
		syncResults_.gainB = 1.0 / config_.ctB.eval(syncResults_.temperatureK);
	} else {
		/* random values just to stop the world blowing up */
		syncResults_.temperatureK = 4500;
		syncResults_.gainR = syncResults_.gainG = syncResults_.gainB = 1.0;
	}
	prevSyncResults_ = syncResults_;
	asyncResults_ = syncResults_;
}

void Awb::disableAuto()
{
	/* Freeze the most recent values, and treat them as manual gains */
	manualR_ = syncResults_.gainR = prevSyncResults_.gainR;
	manualB_ = syncResults_.gainB = prevSyncResults_.gainB;
	syncResults_.gainG = prevSyncResults_.gainG;
	syncResults_.temperatureK = prevSyncResults_.temperatureK;
}

void Awb::enableAuto()
{
	manualR_ = 0.0;
	manualB_ = 0.0;
}

unsigned int Awb::getConvergenceFrames() const
{
	/*
	 * If not in auto mode, there is no convergence
	 * to happen, so no need to drop any frames - return zero.
	 */
	if (!isAutoEnabled())
		return 0;
	else
		return config_.convergenceFrames;
}

void Awb::setMode(std::string const &modeName)
{
	modeName_ = modeName;
}

void Awb::setManualGains(double manualR, double manualB)
{
	/* If any of these are 0.0, we swich back to auto. */
	manualR_ = manualR;
	manualB_ = manualB;
	/*
	 * If not in auto mode, set these values into the syncResults which
	 * means that Prepare() will adopt them immediately.
	 */
	if (!isAutoEnabled()) {
		syncResults_.gainR = prevSyncResults_.gainR = manualR_;
		syncResults_.gainG = prevSyncResults_.gainG = 1.0;
		syncResults_.gainB = prevSyncResults_.gainB = manualB_;
		if (config_.bayes) {
			/* Also estimate the best corresponding colour temperature from the curves. */
			double ctR = config_.ctRInverse.eval(config_.ctRInverse.domain().clip(1 / manualR_));
			double ctB = config_.ctBInverse.eval(config_.ctBInverse.domain().clip(1 / manualB_));
			prevSyncResults_.temperatureK = (ctR + ctB) / 2;
			syncResults_.temperatureK = prevSyncResults_.temperatureK;
		}
	}
}

void Awb::switchMode([[maybe_unused]] CameraMode const &cameraMode,
		     Metadata *metadata)
{
	/* Let other algorithms know the current white balance values. */
	metadata->set("awb.status", prevSyncResults_);
}

bool Awb::isAutoEnabled() const
{
	return manualR_ == 0.0 || manualB_ == 0.0;
}

void Awb::fetchAsyncResults()
{
	LOG(RPiAwb, Debug) << "Fetch AWB results";
	asyncFinished_ = false;
	asyncStarted_ = false;
	/*
	 * It's possible manual gains could be set even while the async
	 * thread was running, so only copy the results if still in auto mode.
	 */
	if (isAutoEnabled())
		syncResults_ = asyncResults_;
}

void Awb::restartAsync(StatisticsPtr &stats, double lux)
{
	LOG(RPiAwb, Debug) << "Starting AWB calculation";
	/* this makes a new reference which belongs to the asynchronous thread */
	statistics_ = stats;
	/* store the mode as it could technically change */
	auto m = config_.modes.find(modeName_);
	mode_ = m != config_.modes.end()
			? &m->second
			: (mode_ == nullptr ? config_.defaultMode : mode_);
	lux_ = lux;


context:
space:
mode: