Files
external_libcamera/src/libcamera/software_isp/swstats_cpu.cpp
Laurent Pinchart 626172a16b libcamera: Drop file name from header comment blocks
Source files in libcamera start by a comment block header, which
includes the file name and a one-line description of the file contents.
While the latter is useful to get a quick overview of the file contents
at a glance, the former is mostly a source of inconvenience. The name in
the comments can easily get out of sync with the file name when files
are renamed, and copy & paste during development have often lead to
incorrect names being used to start with.

Readers of the source code are expected to know which file they're
looking it. Drop the file name from the header comment block.

The change was generated with the following script:

----------------------------------------

dirs="include/libcamera src test utils"

declare -rA patterns=(
	['c']=' \* '
	['cpp']=' \* '
	['h']=' \* '
	['py']='# '
	['sh']='# '
)

for ext in ${!patterns[@]} ; do
	files=$(for dir in $dirs ; do find $dir -name "*.${ext}" ; done)
	pattern=${patterns[${ext}]}

	for file in $files ; do
		name=$(basename ${file})
		sed -i "s/^\(${pattern}\)${name} - /\1/" "$file"
	done
done
----------------------------------------

This misses several files that are out of sync with the comment block
header. Those will be addressed separately and manually.

Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Daniel Scally <dan.scally@ideasonboard.com>
2024-05-08 22:39:50 +03:00

433 lines
11 KiB
C++

/* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2023, Linaro Ltd
* Copyright (C) 2023, Red Hat Inc.
*
* Authors:
* Hans de Goede <hdegoede@redhat.com>
*
* CPU based software statistics implementation
*/
#include "swstats_cpu.h"
#include <libcamera/base/log.h>
#include <libcamera/stream.h>
#include "libcamera/internal/bayer_format.h"
namespace libcamera {
/**
* \class SwStatsCpu
* \brief Class for gathering statistics on the CPU
*
* CPU based software ISP statistics implementation.
*
* This class offers a configure function + functions to gather statistics on a
* line by line basis. This allows CPU based software debayering to interleave
* debayering and statistics gathering on a line by line basis while the input
* data is still hot in the cache.
*
* It is also possible to specify a window over which to gather statistics
* instead of processing the whole frame.
*/
/**
* \fn bool SwStatsCpu::isValid() const
* \brief Gets whether the statistics object is valid
*
* \return True if it's valid, false otherwise
*/
/**
* \fn const SharedFD &SwStatsCpu::getStatsFD()
* \brief Get the file descriptor for the statistics
*
* \return The file descriptor
*/
/**
* \fn const Size &SwStatsCpu::patternSize()
* \brief Get the pattern size
*
* For some input-formats, e.g. Bayer data, processing is done multiple lines
* and/or columns at a time. Get width and height at which the (bayer) pattern
* repeats. Window values are rounded down to a multiple of this and the height
* also indicates if processLine2() should be called or not.
* This may only be called after a successful configure() call.
*
* \return The pattern size
*/
/**
* \fn void SwStatsCpu::processLine0(unsigned int y, const uint8_t *src[])
* \brief Process line 0
* \param[in] y The y coordinate.
* \param[in] src The input data.
*
* This function processes line 0 for input formats with
* patternSize height == 1.
* It'll process line 0 and 1 for input formats with patternSize height >= 2.
* This function may only be called after a successful setWindow() call.
*/
/**
* \fn void SwStatsCpu::processLine2(unsigned int y, const uint8_t *src[])
* \brief Process line 2 and 3
* \param[in] y The y coordinate.
* \param[in] src The input data.
*
* This function processes line 2 and 3 for input formats with
* patternSize height == 4.
* This function may only be called after a successful setWindow() call.
*/
/**
* \var Signal<> SwStatsCpu::statsReady
* \brief Signals that the statistics are ready
*/
/**
* \typedef SwStatsCpu::statsProcessFn
* \brief Called when there is data to get statistics from
* \param[in] src The input data
*
* These functions take an array of (patternSize_.height + 1) src
* pointers each pointing to a line in the source image. The middle
* element of the array will point to the actual line being processed.
* Earlier element(s) will point to the previous line(s) and later
* element(s) to the next line(s).
*
* See the documentation of DebayerCpu::debayerFn for more details.
*/
/**
* \var unsigned int SwStatsCpu::ySkipMask_
* \brief Skip lines where this bitmask is set in y
*/
/**
* \var Rectangle SwStatsCpu::window_
* \brief Statistics window, set by setWindow(), used every line
*/
/**
* \var Size SwStatsCpu::patternSize_
* \brief The size of the bayer pattern
*
* Valid sizes are: 2x2, 4x2 or 4x4.
*/
/**
* \var unsigned int SwStatsCpu::xShift_
* \brief The offset of x, applied to window_.x for bayer variants
*
* This can either be 0 or 1.
*/
LOG_DEFINE_CATEGORY(SwStatsCpu)
SwStatsCpu::SwStatsCpu()
: sharedStats_("softIsp_stats")
{
if (!sharedStats_)
LOG(SwStatsCpu, Error)
<< "Failed to create shared memory for statistics";
}
static constexpr unsigned int kRedYMul = 77; /* 0.299 * 256 */
static constexpr unsigned int kGreenYMul = 150; /* 0.587 * 256 */
static constexpr unsigned int kBlueYMul = 29; /* 0.114 * 256 */
#define SWSTATS_START_LINE_STATS(pixel_t) \
pixel_t r, g, g2, b; \
uint64_t yVal; \
\
uint64_t sumR = 0; \
uint64_t sumG = 0; \
uint64_t sumB = 0;
#define SWSTATS_ACCUMULATE_LINE_STATS(div) \
sumR += r; \
sumG += g; \
sumB += b; \
\
yVal = r * kRedYMul; \
yVal += g * kGreenYMul; \
yVal += b * kBlueYMul; \
stats_.yHistogram[yVal * SwIspStats::kYHistogramSize / (256 * 256 * (div))]++;
#define SWSTATS_FINISH_LINE_STATS() \
stats_.sumR_ += sumR; \
stats_.sumG_ += sumG; \
stats_.sumB_ += sumB;
void SwStatsCpu::statsBGGR8Line0(const uint8_t *src[])
{
const uint8_t *src0 = src[1] + window_.x;
const uint8_t *src1 = src[2] + window_.x;
SWSTATS_START_LINE_STATS(uint8_t)
if (swapLines_)
std::swap(src0, src1);
/* x += 4 sample every other 2x2 block */
for (int x = 0; x < (int)window_.width; x += 4) {
b = src0[x];
g = src0[x + 1];
g2 = src1[x];
r = src1[x + 1];
g = (g + g2) / 2;
SWSTATS_ACCUMULATE_LINE_STATS(1)
}
SWSTATS_FINISH_LINE_STATS()
}
void SwStatsCpu::statsBGGR10Line0(const uint8_t *src[])
{
const uint16_t *src0 = (const uint16_t *)src[1] + window_.x;
const uint16_t *src1 = (const uint16_t *)src[2] + window_.x;
SWSTATS_START_LINE_STATS(uint16_t)
if (swapLines_)
std::swap(src0, src1);
/* x += 4 sample every other 2x2 block */
for (int x = 0; x < (int)window_.width; x += 4) {
b = src0[x];
g = src0[x + 1];
g2 = src1[x];
r = src1[x + 1];
g = (g + g2) / 2;
/* divide Y by 4 for 10 -> 8 bpp value */
SWSTATS_ACCUMULATE_LINE_STATS(4)
}
SWSTATS_FINISH_LINE_STATS()
}
void SwStatsCpu::statsBGGR12Line0(const uint8_t *src[])
{
const uint16_t *src0 = (const uint16_t *)src[1] + window_.x;
const uint16_t *src1 = (const uint16_t *)src[2] + window_.x;
SWSTATS_START_LINE_STATS(uint16_t)
if (swapLines_)
std::swap(src0, src1);
/* x += 4 sample every other 2x2 block */
for (int x = 0; x < (int)window_.width; x += 4) {
b = src0[x];
g = src0[x + 1];
g2 = src1[x];
r = src1[x + 1];
g = (g + g2) / 2;
/* divide Y by 16 for 12 -> 8 bpp value */
SWSTATS_ACCUMULATE_LINE_STATS(16)
}
SWSTATS_FINISH_LINE_STATS()
}
void SwStatsCpu::statsBGGR10PLine0(const uint8_t *src[])
{
const uint8_t *src0 = src[1] + window_.x * 5 / 4;
const uint8_t *src1 = src[2] + window_.x * 5 / 4;
const int widthInBytes = window_.width * 5 / 4;
if (swapLines_)
std::swap(src0, src1);
SWSTATS_START_LINE_STATS(uint8_t)
/* x += 5 sample every other 2x2 block */
for (int x = 0; x < widthInBytes; x += 5) {
/* BGGR */
b = src0[x];
g = src0[x + 1];
g2 = src1[x];
r = src1[x + 1];
g = (g + g2) / 2;
/* Data is already 8 bits, divide by 1 */
SWSTATS_ACCUMULATE_LINE_STATS(1)
}
SWSTATS_FINISH_LINE_STATS()
}
void SwStatsCpu::statsGBRG10PLine0(const uint8_t *src[])
{
const uint8_t *src0 = src[1] + window_.x * 5 / 4;
const uint8_t *src1 = src[2] + window_.x * 5 / 4;
const int widthInBytes = window_.width * 5 / 4;
if (swapLines_)
std::swap(src0, src1);
SWSTATS_START_LINE_STATS(uint8_t)
/* x += 5 sample every other 2x2 block */
for (int x = 0; x < widthInBytes; x += 5) {
/* GBRG */
g = src0[x];
b = src0[x + 1];
r = src1[x];
g2 = src1[x + 1];
g = (g + g2) / 2;
/* Data is already 8 bits, divide by 1 */
SWSTATS_ACCUMULATE_LINE_STATS(1)
}
SWSTATS_FINISH_LINE_STATS()
}
/**
* \brief Reset state to start statistics gathering for a new frame
*
* This may only be called after a successful setWindow() call.
*/
void SwStatsCpu::startFrame(void)
{
if (window_.width == 0)
LOG(SwStatsCpu, Error) << "Calling startFrame() without setWindow()";
stats_.sumR_ = 0;
stats_.sumB_ = 0;
stats_.sumG_ = 0;
stats_.yHistogram.fill(0);
}
/**
* \brief Finish statistics calculation for the current frame
*
* This may only be called after a successful setWindow() call.
*/
void SwStatsCpu::finishFrame(void)
{
*sharedStats_ = stats_;
statsReady.emit();
}
/**
* \brief Setup SwStatsCpu object for standard Bayer orders
* \param[in] order The Bayer order
*
* Check if order is a standard Bayer order and setup xShift_ and swapLines_
* so that a single BGGR stats function can be used for all 4 standard orders.
*/
int SwStatsCpu::setupStandardBayerOrder(BayerFormat::Order order)
{
switch (order) {
case BayerFormat::BGGR:
xShift_ = 0;
swapLines_ = false;
break;
case BayerFormat::GBRG:
xShift_ = 1; /* BGGR -> GBRG */
swapLines_ = false;
break;
case BayerFormat::GRBG:
xShift_ = 0;
swapLines_ = true; /* BGGR -> GRBG */
break;
case BayerFormat::RGGB:
xShift_ = 1; /* BGGR -> GBRG */
swapLines_ = true; /* GBRG -> RGGB */
break;
default:
return -EINVAL;
}
patternSize_.height = 2;
patternSize_.width = 2;
ySkipMask_ = 0x02; /* Skip every 3th and 4th line */
return 0;
}
/**
* \brief Configure the statistics object for the passed in input format
* \param[in] inputCfg The input format
*
* \return 0 on success, a negative errno value on failure
*/
int SwStatsCpu::configure(const StreamConfiguration &inputCfg)
{
BayerFormat bayerFormat =
BayerFormat::fromPixelFormat(inputCfg.pixelFormat);
if (bayerFormat.packing == BayerFormat::Packing::None &&
setupStandardBayerOrder(bayerFormat.order) == 0) {
switch (bayerFormat.bitDepth) {
case 8:
stats0_ = &SwStatsCpu::statsBGGR8Line0;
return 0;
case 10:
stats0_ = &SwStatsCpu::statsBGGR10Line0;
return 0;
case 12:
stats0_ = &SwStatsCpu::statsBGGR12Line0;
return 0;
}
}
if (bayerFormat.bitDepth == 10 &&
bayerFormat.packing == BayerFormat::Packing::CSI2) {
patternSize_.height = 2;
patternSize_.width = 4; /* 5 bytes per *4* pixels */
/* Skip every 3th and 4th line, sample every other 2x2 block */
ySkipMask_ = 0x02;
xShift_ = 0;
switch (bayerFormat.order) {
case BayerFormat::BGGR:
case BayerFormat::GRBG:
stats0_ = &SwStatsCpu::statsBGGR10PLine0;
swapLines_ = bayerFormat.order == BayerFormat::GRBG;
return 0;
case BayerFormat::GBRG:
case BayerFormat::RGGB:
stats0_ = &SwStatsCpu::statsGBRG10PLine0;
swapLines_ = bayerFormat.order == BayerFormat::RGGB;
return 0;
default:
break;
}
}
LOG(SwStatsCpu, Info)
<< "Unsupported input format " << inputCfg.pixelFormat.toString();
return -EINVAL;
}
/**
* \brief Specify window coordinates over which to gather statistics
* \param[in] window The window object.
*/
void SwStatsCpu::setWindow(const Rectangle &window)
{
window_ = window;
window_.x &= ~(patternSize_.width - 1);
window_.x += xShift_;
window_.y &= ~(patternSize_.height - 1);
/* width_ - xShift_ to make sure the window fits */
window_.width -= xShift_;
window_.width &= ~(patternSize_.width - 1);
window_.height &= ~(patternSize_.height - 1);
}
} /* namespace libcamera */