Changed RgbImage to template based Image (with template for pixel type)

Former-commit-id: ef02f164eaf3c2f9dd552c1c17b525cf6eed499c
This commit is contained in:
T. van der Zwan
2013-11-11 09:00:37 +00:00
parent 90f1f282e2
commit dd16af0df5
58 changed files with 593 additions and 464 deletions

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@@ -0,0 +1,131 @@
#pragma once
// Utils includes
#include <utils/Image.h>
namespace hyperion
{
///
/// Result structure of the detected blackborder.
///
struct BlackBorder
{
/// Falg indicating if the border is unknown
bool unknown;
/// The size of the detected horizontal border
int horizontalSize;
/// The size of the detected vertical border
int verticalSize;
///
/// Compares this BlackBorder to the given other BlackBorder
///
/// @param[in] other The other BlackBorder
///
/// @return True if this is the same border as other
///
inline bool operator== (const BlackBorder& other) const
{
if (unknown)
{
return other.unknown;
}
return other.unknown==false && horizontalSize==other.horizontalSize && verticalSize==other.verticalSize;
}
};
///
/// The BlackBorderDetector performs detection of black-borders on a single image.
/// The detector will search for the upper left corner of the picture in the frame.
/// Based on detected black pixels it will give an estimate of the black-border.
///
class BlackBorderDetector
{
public:
///
/// Constructs a black-border detector
///
BlackBorderDetector();
///
/// Performs the actual black-border detection on the given image
///
/// @param[in] image The image on which detection is performed
///
/// @return The detected (or not detected) black border info
///
template <typename Pixel_T>
BlackBorder process(const Image<Pixel_T> & image)
{
// only test the topleft third of the image
int width = image.width() /3;
int height = image.height() / 3;
int maxSize = std::max(width, height);
int firstNonBlackXPixelIndex = -1;
int firstNonBlackYPixelIndex = -1;
// find some pixel of the image
for (int i = 0; i < maxSize; ++i)
{
int x = std::min(i, width);
int y = std::min(i, height);
const Pixel_T & color = image(x, y);
if (!isBlack(color))
{
firstNonBlackXPixelIndex = x;
firstNonBlackYPixelIndex = y;
break;
}
}
// expand image to the left
for(; firstNonBlackXPixelIndex > 0; --firstNonBlackXPixelIndex)
{
const Pixel_T & color = image(firstNonBlackXPixelIndex-1, firstNonBlackYPixelIndex);
if (isBlack(color))
{
break;
}
}
// expand image to the top
for(; firstNonBlackYPixelIndex > 0; --firstNonBlackYPixelIndex)
{
const Pixel_T & color = image(firstNonBlackXPixelIndex, firstNonBlackYPixelIndex-1);
if (isBlack(color))
{
break;
}
}
// Construct result
BlackBorder detectedBorder;
detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
detectedBorder.verticalSize = firstNonBlackXPixelIndex;
return detectedBorder;
}
private:
///
/// Checks if a given color is considered black and therefor could be part of the border.
///
/// @param[in] color The color to check
///
/// @return True if the color is considered black else false
///
template <typename Pixel_T>
inline bool isBlack(const Pixel_T & color)
{
// Return the simple compare of the color against black
return color.red+color.green+color.green == 0;
}
};
} // end namespace hyperion

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@@ -0,0 +1,96 @@
#pragma once
// Local Hyperion includes
#include "BlackBorderDetector.h"
namespace hyperion
{
///
/// The BlackBorder processor is a wrapper around the black-border detector for keeping track of
/// detected borders and count of the type and size of detected borders.
///
class BlackBorderProcessor
{
public:
///
/// Constructor for the BlackBorderProcessor
/// @param unknownFrameCnt The number of frames(images) that need to contain an unknown
/// border before the current border is set to unknown
/// @param borderFrameCnt The number of frames(images) that need to contain a vertical or
/// horizontal border becomes the current border
/// @param blurRemoveCnt The size to add to a horizontal or vertical border (because the
/// outer pixels is blurred (black and color combined due to image scaling))
///
BlackBorderProcessor(
const unsigned unknownFrameCnt,
const unsigned borderFrameCnt,
const unsigned blurRemoveCnt);
///
/// Return the current (detected) border
/// @return The current border
///
BlackBorder getCurrentBorder() const;
///
/// Processes the image. This performs detecion of black-border on the given image and
/// updates the current border accordingly. If the current border is updated the method call
/// will return true else false
///
/// @param image The image to process
///
/// @return True if a different border was detected than the current else false
///
template <typename Pixel_T>
bool process(const Image<Pixel_T> & image)
{
// get the border for the single image
BlackBorder imageBorder = _detector.process(image);
// add blur to the border
if (imageBorder.horizontalSize > 0)
{
imageBorder.horizontalSize += _blurRemoveCnt;
}
if (imageBorder.verticalSize > 0)
{
imageBorder.verticalSize += _blurRemoveCnt;
}
const bool borderUpdated = updateBorder(imageBorder);
return borderUpdated;
}
private:
///
/// Updates the current border based on the newly detected border. Returns true if the
/// current border has changed.
///
/// @param newDetectedBorder The newly detected border
/// @return True if the current border changed else false
///
bool updateBorder(const BlackBorder & newDetectedBorder);
/// The number of unknown-borders detected before it becomes the current border
const unsigned _unknownSwitchCnt;
/// The number of horizontal/vertical borders detected before it becomes the current border
const unsigned _borderSwitchCnt;
/// The number of pixels to increase a detected border for removing blury pixels
unsigned _blurRemoveCnt;
/// The blackborder detector
BlackBorderDetector _detector;
/// The current detected border
BlackBorder _currentBorder;
/// The border detected in the previous frame
BlackBorder _previousDetectedBorder;
/// The number of frame the previous detected border matched the incomming border
unsigned _consistentCnt;
};
} // end namespace hyperion

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@@ -8,7 +8,7 @@
#include <QTimer>
// hyperion-utils includes
#include <utils/RgbImage.h>
#include <utils/Image.h>
// Hyperion includes
#include <hyperion/LedString.h>
@@ -76,7 +76,7 @@ public:
/// @param[in] ledColor The color to write to the leds
/// @param[in] timeout_ms The time the leds are set to the given color [ms]
///
void setColor(int priority, const RgbColor &ledColor, const int timeout_ms);
void setColor(int priority, const ColorRgb &ledColor, const int timeout_ms);
///
/// Writes the given colors to all leds for the given time and priority
@@ -85,7 +85,7 @@ public:
/// @param[in] ledColors The colors to write to the leds
/// @param[in] timeout_ms The time the leds are set to the given colors [ms]
///
void setColors(int priority, const std::vector<RgbColor> &ledColors, const int timeout_ms);
void setColors(int priority, const std::vector<ColorRgb> &ledColors, const int timeout_ms);
///
/// Sets/Updates a part of the color transformation.
@@ -162,7 +162,7 @@ private:
///
/// @param colors The colors to be transformed
///
void applyTransform(std::vector<RgbColor>& colors) const;
void applyTransform(std::vector<ColorRgb>& colors) const;
/// The specifiation of the led frame construction and picture integration
LedString _ledString;

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@@ -2,17 +2,13 @@
#pragma once
// Utils includes
#include <utils/RgbImage.h>
#include <utils/Image.h>
// Hyperion includes
#include <hyperion/ImageProcessorFactory.h>
#include <hyperion/LedString.h>
// Forward class declaration
namespace hyperion {
class ImageToLedsMap;
class BlackBorderProcessor;
}
#include <hyperion/ImageToLedsMap.h>
#include <hyperion/BlackBorderProcessor.h>
///
/// The ImageProcessor translates an RGB-image to RGB-values for the leds. The processing is
@@ -42,7 +38,21 @@ public:
///
/// @return The color value per led
///
std::vector<RgbColor> process(const RgbImage& image);
template <typename Pixel_T>
std::vector<ColorRgb> process(const Image<Pixel_T>& image)
{
// Ensure that the buffer-image is the proper size
setSize(image.width(), image.height());
// Check black border detection
verifyBorder(image);
// Create a result vector and call the 'in place' functionl
std::vector<ColorRgb> colors = mImageToLeds->getMeanLedColor(image);
// return the computed colors
return colors;
}
///
/// Determines the led colors of the image in the buffer.
@@ -50,7 +60,18 @@ public:
/// @param[in] image The image to translate to led values
/// @param[out] ledColors The color value per led
///
void process(const RgbImage& image, std::vector<RgbColor>& ledColors);
template <typename Pixel_T>
void process(const Image<Pixel_T>& image, std::vector<ColorRgb>& ledColors)
{
// Ensure that the buffer-image is the proper size
setSize(image.width(), image.height());
// Check black border detection
verifyBorder(image);
// Determine the mean-colors of each led (using the existing mapping)
mImageToLeds->getMeanLedColor(image, ledColors);
}
///
/// Get the hscan and vscan parameters for a single led
@@ -80,7 +101,33 @@ private:
///
/// @param[in] image The image to perform black-border detection on
///
void verifyBorder(const RgbImage& image);
template <typename Pixel_T>
void verifyBorder(const Image<Pixel_T> & image)
{
if(_enableBlackBorderRemoval && _borderProcessor->process(image))
{
std::cout << "BORDER SWITCH REQUIRED!!" << std::endl;
const hyperion::BlackBorder border = _borderProcessor->getCurrentBorder();
// Clean up the old mapping
delete mImageToLeds;
if (border.unknown)
{
// Construct a new buffer and mapping
mImageToLeds = new hyperion::ImageToLedsMap(image.width(), image.height(), 0, 0, mLedString.leds());
}
else
{
// Construct a new buffer and mapping
mImageToLeds = new hyperion::ImageToLedsMap(image.width(), image.height(), border.horizontalSize, border.verticalSize, mLedString.leds());
}
std::cout << "CURRENT BORDER TYPE: unknown=" << border.unknown << " hor.size=" << border.horizontalSize << " vert.size=" << border.verticalSize << std::endl;
}
}
private:
/// The Led-string specification
const LedString mLedString;
@@ -89,7 +136,7 @@ private:
bool _enableBlackBorderRemoval;
/// The processor for black border detection
hyperion::BlackBorderProcessor* _borderProcessor;
hyperion::BlackBorderProcessor * _borderProcessor;
/// The mapping of image-pixels to leds
hyperion::ImageToLedsMap* mImageToLeds;

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@@ -0,0 +1,144 @@
#pragma once
// STL includes
#include <cassert>
#include <sstream>
// hyperion-utils includes
#include <utils/Image.h>
// hyperion includes
#include <hyperion/LedString.h>
namespace hyperion
{
///
/// The ImageToLedsMap holds a mapping of indices into an image to leds. It can be used to
/// calculate the average (or mean) color per led for a specific region.
///
class ImageToLedsMap
{
public:
///
/// Constructs an mapping from the absolute indices in an image to each led based on the border
/// definition given in the list of leds. The map holds absolute indices to any given image,
/// provided that it is row-oriented.
/// The mapping is created purely on size (width and height). The given borders are excluded
/// from indexing.
///
/// @param[in] width The width of the indexed image
/// @param[in] height The width of the indexed image
/// @param[in] horizontalBorder The size of the horizontal border (0=no border)
/// @param[in] verticalBorder The size of the vertical border (0=no border)
/// @param[in] leds The list with led specifications
///
ImageToLedsMap(
const unsigned width,
const unsigned height,
const unsigned horizontalBorder,
const unsigned verticalBorder,
const std::vector<Led> & leds);
///
/// Returns the width of the indexed image
///
/// @return The width of the indexed image [pixels]
///
unsigned width() const;
///
/// Returns the height of the indexed image
///
/// @return The height of the indexed image [pixels]
///
unsigned height() const;
///
/// Determines the mean-color for each led using the mapping the image given
/// at construction.
///
/// @param[in] image The image from which to extract the led colors
///
/// @return ledColors The vector containing the output
///
template <typename Pixel_T>
std::vector<ColorRgb> getMeanLedColor(const Image<Pixel_T> & image) const
{
std::vector<ColorRgb> colors(mColorsMap.size(), ColorRgb{0,0,0});
getMeanLedColor(image, colors);
return colors;
}
///
/// Determines the mean color for each led using the mapping the image given
/// at construction.
///
/// @param[in] image The image from which to extract the led colors
/// @param[out] ledColors The vector containing the output
///
template <typename Pixel_T>
void getMeanLedColor(const Image<Pixel_T> & image, std::vector<ColorRgb> & ledColors) const
{
// Sanity check for the number of leds
assert(mColorsMap.size() == ledColors.size());
// Iterate each led and compute the mean
auto led = ledColors.begin();
for (auto ledColors = mColorsMap.begin(); ledColors != mColorsMap.end(); ++ledColors, ++led)
{
const ColorRgb color = calcMeanColor(image, *ledColors);
*led = color;
}
}
private:
/// The width of the indexed image
const unsigned _width;
/// The height of the indexed image
const unsigned _height;
/// The absolute indices into the image for each led
std::vector<std::vector<unsigned>> mColorsMap;
///
/// Calculates the 'mean color' of the given list. This is the mean over each color-channel
/// (red, green, blue)
///
/// @param[in] image The image a section from which an average color must be computed
/// @param[in] colors The list with colors
///
/// @return The mean of the given list of colors (or black when empty)
///
template <typename Pixel_T>
ColorRgb calcMeanColor(const Image<Pixel_T> & image, const std::vector<unsigned> & colors) const
{
if (colors.size() == 0)
{
return ColorRgb::BLACK;
}
// Accumulate the sum of each seperate color channel
uint_fast16_t cummRed = 0;
uint_fast16_t cummGreen = 0;
uint_fast16_t cummBlue = 0;
for (const unsigned colorOffset : colors)
{
const Pixel_T& pixel = image.memptr()[colorOffset];
cummRed += pixel.red;
cummGreen += pixel.green;
cummBlue += pixel.blue;
}
// Compute the average of each color channel
const uint8_t avgRed = uint8_t(cummRed/colors.size());
const uint8_t avgGreen = uint8_t(cummGreen/colors.size());
const uint8_t avgBlue = uint8_t(cummBlue/colors.size());
// Return the computed color
return {avgRed, avgGreen, avgBlue};
}
};
} // end namespace hyperion

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@@ -4,7 +4,7 @@
#include <vector>
// Utility includes
#include <utils/RgbColor.h>
#include <utils/ColorRgb.h>
///
/// Interface (pure virtual base class) for LedDevices.
@@ -28,7 +28,7 @@ public:
///
/// @return Zero on success else negative
///
virtual int write(const std::vector<RgbColor>& ledValues) = 0;
virtual int write(const std::vector<ColorRgb>& ledValues) = 0;
/// Switch the leds off
virtual int switchOff() = 0;

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@@ -7,7 +7,7 @@
#include <vector>
// Local includes
#include <utils/RgbColor.h>
#include <utils/ColorRgb.h>
// Forward class declarations
namespace Json { class Value; }

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@@ -10,7 +10,7 @@
#include <QMap>
// Utils includes
#include <utils/RgbColor.h>
#include <utils/ColorRgb.h>
// Hyperion includes
#include <hyperion/LedDevice.h>
@@ -34,7 +34,7 @@ public:
/// The absolute timeout of the channel
int64_t timeoutTime_ms;
/// The colors for each led of the channel
std::vector<RgbColor> ledColors;
std::vector<ColorRgb> ledColors;
};
///
@@ -89,7 +89,7 @@ public:
/// @param[in] ledColors The led colors of the priority channel
/// @param[in] timeoutTime_ms The absolute timeout time of the channel
///
void setInput(const int priority, const std::vector<RgbColor>& ledColors, const int64_t timeoutTime_ms=-1);
void setInput(const int priority, const std::vector<ColorRgb>& ledColors, const int64_t timeoutTime_ms=-1);
///
/// Clears the specified priority channel