Merge pull request #483 from wisc17/blackborder

Blackborder Improved + (bugfix and enhancement)

Former-commit-id: 2d82dca6fafbe6eb019027c37abf679fd7066980
This commit is contained in:
tvdzwan 2016-02-08 14:54:48 +01:00
commit f3cd0451c9
11 changed files with 213 additions and 60 deletions

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@ -355,10 +355,21 @@
/// The black border configuration, contains the following items:
/// * enable : true if the detector should be activated
/// * threshold : Value below which a pixel is regarded as black (value between 0.0 and 1.0)
"blackborderdetector" :
/// * unknownFrameCnt : Number of frames without any detection before the border is set to 0 (default 600) - optional
/// * borderFrameCnt : Number of frames before a consistent detected border gets set (default 50) - optional
/// * maxInconsistentCnt : Number of inconsistent frames that are ignored before a new border gets a chance to proof consistency - optional
/// * blurRemoveCnt : Number of pixels that get removed from the detected border to cut away blur (default 1) - optional
/// * mode : Border detection mode (values "default","classic","osd") - optional
"blackborderdetector" :
{
"enable" : true,
"threshold" : 0.01
"threshold" : 0.01,
"unknownFrameCnt": 600,
"borderFrameCnt" : 50,
"maxInconsistentCnt" : 10,
"blurRemoveCnt": 1,
"mode" : "default"
},
/// The configuration of the effect engine, contains the following items:

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@ -49,7 +49,7 @@ namespace hyperion
/// Constructs a black-border detector
/// @param[in] blackborderThreshold The threshold which the blackborder detector should use
///
BlackBorderDetector(uint8_t blackborderThreshold);
BlackBorderDetector(double threshold);
///
/// Performs the actual black-border detection on the given image
@ -58,13 +58,17 @@ namespace hyperion
///
/// @return The detected (or not detected) black border info
///
uint8_t calculateThreshold(double blackborderThreshold);
///
/// default detection mode (3lines 4side detection)
template <typename Pixel_T>
BlackBorder process(const Image<Pixel_T> & image)
{
// test center and 33%, 66% of width/heigth
// 33 and 66 will check left and top
// center ill check right and bottom sids
// center will check right and bottom sids
int width = image.width();
int height = image.height();
int width33percent = width / 3;
@ -79,9 +83,9 @@ namespace hyperion
int firstNonBlackYPixelIndex = -1;
// find first X pixel of the image
for (int x = 0; x < width; ++x)
for (int x = 0; x < width33percent; ++x)
{
const Pixel_T & color1 = image( (width - x), yCenter); // right side center line check
const Pixel_T & color1 = image( (width - 1 - x), yCenter); // right side center line check
const Pixel_T & color2 = image(x, height33percent);
const Pixel_T & color3 = image(x, height66percent);
if (!isBlack(color1) || !isBlack(color2) || !isBlack(color3))
@ -92,9 +96,9 @@ namespace hyperion
}
// find first Y pixel of the image
for (int y = 0; y < height; ++y)
for (int y = 0; y < height33percent; ++y)
{
const Pixel_T & color1 = image(xCenter, (height - y)); // bottom center line check
const Pixel_T & color1 = image(xCenter, (height - 1 - y)); // bottom center line check
const Pixel_T & color2 = image(width33percent, y );
const Pixel_T & color3 = image(width66percent, y);
if (!isBlack(color1) || !isBlack(color2) || !isBlack(color3))
@ -112,6 +116,120 @@ namespace hyperion
return detectedBorder;
}
///
/// classic detection mode (topleft single line mode)
template <typename Pixel_T>
BlackBorder process_classic(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;
}
// osd detection mode (find x then y at detected x to avoid changes by osd overlays)
template <typename Pixel_T>
BlackBorder process_osd(const Image<Pixel_T> & image)
{
// find X position at height33 and height66 we check from the left side, Ycenter will check from right side
// then we try to find a pixel at this X position from top and bottom and right side from top
int width = image.width();
int height = image.height();
int width33percent = width / 3;
int height33percent = height / 3;
// int width66percent = width33percent * 2;
int height66percent = height33percent * 2;
// int xCenter = width / 2;
int yCenter = height / 2;
int firstNonBlackXPixelIndex = -1;
int firstNonBlackYPixelIndex = -1;
// find first X pixel of the image
int x;
for (x = 0; x < width33percent; ++x)
{
const Pixel_T & color1 = image( (width - 1 - x), yCenter); // right side center line check
const Pixel_T & color2 = image(x, height33percent);
const Pixel_T & color3 = image(x, height66percent);
if (!isBlack(color1) || !isBlack(color2) || !isBlack(color3))
{
firstNonBlackXPixelIndex = x;
break;
}
}
// find first Y pixel of the image
for (int y = 0; y < height33percent; ++y)
{
const Pixel_T & color1 = image(x, (height - 1 - y)); // left side bottom check
const Pixel_T & color2 = image(x, y );// left side top check
const Pixel_T & color3 = image( (width - 1 - x), y); // right side top check
if (!isBlack(color1) || !isBlack(color2) || !isBlack(color3))
{
firstNonBlackYPixelIndex = y;
break;
}
}
// Construct result
BlackBorder detectedBorder;
detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
detectedBorder.verticalSize = firstNonBlackXPixelIndex;
return detectedBorder;
}
private:
///
@ -131,5 +249,6 @@ namespace hyperion
private:
/// Threshold for the blackborder detector [0 .. 255]
const uint8_t _blackborderThreshold;
};
} // end namespace hyperion

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@ -1,6 +1,8 @@
#pragma once
// Jsoncpp includes
#include <json/json.h>
// Local Hyperion includes
#include "BlackBorderDetector.h"
@ -23,11 +25,7 @@ namespace hyperion
/// outer pixels is blurred (black and color combined due to image scaling))
/// @param[in] blackborderThreshold The threshold which the blackborder detector should use
///
BlackBorderProcessor(
const unsigned unknownFrameCnt,
const unsigned borderFrameCnt,
const unsigned blurRemoveCnt,
uint8_t blackborderThreshold);
BlackBorderProcessor(const Json::Value &blackborderConfig);
///
/// Return the current (detected) border
@ -48,7 +46,14 @@ namespace hyperion
bool process(const Image<Pixel_T> & image)
{
// get the border for the single image
BlackBorder imageBorder = _detector.process(image);
BlackBorder imageBorder;
if (_detectionMode == "default") {
imageBorder = _detector.process(image);
} else if (_detectionMode == "classic") {
imageBorder = _detector.process_classic(image);
} else if (_detectionMode == "osd") {
imageBorder = _detector.process_osd(image);
}
// add blur to the border
if (imageBorder.horizontalSize > 0)
{
@ -80,9 +85,15 @@ namespace hyperion
/// The number of horizontal/vertical borders detected before it becomes the current border
const unsigned _borderSwitchCnt;
// The number of frames that are "ignored" before a new border gets set as _previousDetectedBorder
const unsigned _maxInconsistentCnt;
/// The number of pixels to increase a detected border for removing blury pixels
unsigned _blurRemoveCnt;
/// The border detection mode
const std::string _detectionMode;
/// The blackborder detector
BlackBorderDetector _detector;
@ -96,5 +107,6 @@ namespace hyperion
unsigned _consistentCnt;
/// The number of frame the previous detected border NOT matched the incomming border
unsigned _inconsistentCnt;
};
} // end namespace hyperion

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@ -106,7 +106,7 @@ private:
/// @param[in] enableBlackBorderDetector Flag indicating if the blacborder detector should be enabled
/// @param[in] blackborderThreshold The threshold which the blackborder detector should use
///
ImageProcessor(const LedString &ledString, bool enableBlackBorderDetector, uint8_t blackborderThreshold);
ImageProcessor(const LedString &ledString, const Json::Value &blackborderConfig);
///
/// Performs black-border detection (if enabled) on the given image

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@ -33,7 +33,7 @@ public:
/// @param[in] enableBlackBorderDetector Flag indicating if the blacborder detector should be enabled
/// @param[in] blackborderThreshold The threshold which the blackborder detector should use
///
void init(const LedString& ledString, bool enableBlackBorderDetector, double blackborderThreshold);
void init(const LedString& ledString, const Json::Value &blackborderConfig);
///
/// Creates a new ImageProcessor. The onwership of the processor is transferred to the caller.
@ -46,9 +46,6 @@ private:
/// The Led-string specification
LedString _ledString;
/// Flag indicating if the black border detector should be used
bool _enableBlackBorderDetector;
/// Threshold for the blackborder detector [0 .. 255]
uint8_t _blackborderThreshold;
// Reference to the blackborder json configuration values
Json::Value _blackborderConfig;
};

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@ -1,11 +1,26 @@
#include <iostream>
// BlackBorders includes
#include <blackborder/BlackBorderDetector.h>
using namespace hyperion;
BlackBorderDetector::BlackBorderDetector(uint8_t blackborderThreshold) :
_blackborderThreshold(blackborderThreshold)
BlackBorderDetector::BlackBorderDetector(double threshold) :
_blackborderThreshold(calculateThreshold(threshold))
{
// empty
}
uint8_t BlackBorderDetector::calculateThreshold(double threshold)
{
int rgbThreshold = int(std::ceil(threshold * 255));
if (rgbThreshold < 0)
rgbThreshold = 0;
else if (rgbThreshold > 255)
rgbThreshold = 255;
uint8_t blackborderThreshold = uint8_t(rgbThreshold);
std::cout << "Black border threshold set to " << threshold << " (" << int(blackborderThreshold) << ")" << std::endl;
return blackborderThreshold;
}

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@ -1,23 +1,31 @@
//#include <iostream>
//*
#include <iostream>
/*
#include <iomanip>
using std::cout;
using std::endl;
using std::setw;
using std::left;
//*/
// Blackborder includes
#include <blackborder/BlackBorderProcessor.h>
using namespace hyperion;
BlackBorderProcessor::BlackBorderProcessor(const unsigned unknownFrameCnt,
const unsigned borderFrameCnt,
const unsigned blurRemoveCnt,
uint8_t blackborderThreshold) :
_unknownSwitchCnt(unknownFrameCnt),
_borderSwitchCnt(borderFrameCnt),
_blurRemoveCnt(blurRemoveCnt),
_detector(blackborderThreshold),
BlackBorderProcessor::BlackBorderProcessor(const Json::Value &blackborderConfig) :
_unknownSwitchCnt(blackborderConfig.get("unknownFrameCnt", 600).asUInt()),
_borderSwitchCnt(blackborderConfig.get("borderFrameCnt", 50).asUInt()),
_maxInconsistentCnt(blackborderConfig.get("maxInconsistentCnt", 10).asUInt()),
_blurRemoveCnt(blackborderConfig.get("blurRemoveCnt", 1).asUInt()),
_detectionMode(blackborderConfig.get("mode", "default").asString()),
_detector(blackborderConfig.get("threshold", 0.01).asDouble()),
_currentBorder({true, -1, -1}),
_previousDetectedBorder({true, -1, -1}),
_consistentCnt(0),
_inconsistentCnt(10)
{
std::cout << "DETECTION MODE:" << _detectionMode << std::endl;
// empty
}
@ -39,7 +47,7 @@ bool BlackBorderProcessor::updateBorder(const BlackBorder & newDetectedBorder)
// makes it look like the border detectionn is not working - since the new 3 line detection algorithm is more precise this became a problem specialy in dark scenes
// wisc
// std::cout << "cur: " << _currentBorder.verticalSize << " " << _currentBorder.horizontalSize << " new: " << newDetectedBorder.verticalSize << " " << newDetectedBorder.horizontalSize << " c:i " << _consistentCnt << ":" << _inconsistentCnt << std::endl;
// std::cout << "c: " << setw(2) << _currentBorder.verticalSize << " " << setw(2) << _currentBorder.horizontalSize << " p: " << setw(2) << _previousDetectedBorder.verticalSize << " " << setw(2) << _previousDetectedBorder.horizontalSize << " n: " << setw(2) << newDetectedBorder.verticalSize << " " << setw(2) << newDetectedBorder.horizontalSize << " c:i " << setw(2) << _consistentCnt << ":" << setw(2) << _inconsistentCnt << std::endl;
// set the consistency counter
if (newDetectedBorder == _previousDetectedBorder)
@ -50,7 +58,7 @@ bool BlackBorderProcessor::updateBorder(const BlackBorder & newDetectedBorder)
else
{
++_inconsistentCnt;
if (_inconsistentCnt <= 10)// few inconsistent frames
if (_inconsistentCnt <= _maxInconsistentCnt)// only few inconsistent frames
{
//discard the newDetectedBorder -> keep the consistent count for previousDetectedBorder
return false;

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@ -282,8 +282,8 @@ Hyperion::Hyperion(const Json::Value &jsonConfig) :
// initialize the image processor factory
ImageProcessorFactory::getInstance().init(
_ledString,
jsonConfig["blackborderdetector"].get("enable", true).asBool(),
jsonConfig["blackborderdetector"].get("threshold", 0.01).asDouble());
jsonConfig["blackborderdetector"]
);
// initialize the color smoothing filter
_device = createColorSmoothing(jsonConfig["color"]["smoothing"], _device);

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@ -8,10 +8,11 @@
using namespace hyperion;
ImageProcessor::ImageProcessor(const LedString& ledString, bool enableBlackBorderDetector, uint8_t blackborderThreshold) :
//ImageProcessor::ImageProcessor(const LedString& ledString, bool enableBlackBorderDetector, uint8_t blackborderThreshold) :
ImageProcessor::ImageProcessor(const LedString& ledString, const Json::Value & blackborderConfig) :
_ledString(ledString),
_enableBlackBorderRemoval(enableBlackBorderDetector),
_borderProcessor(new BlackBorderProcessor(600, 50, 1, blackborderThreshold)),
_enableBlackBorderRemoval(blackborderConfig.get("enable", true).asBool()),
_borderProcessor(new BlackBorderProcessor(blackborderConfig) ),
_imageToLeds(nullptr)
{
// empty

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@ -13,25 +13,13 @@ ImageProcessorFactory& ImageProcessorFactory::getInstance()
return instance;
}
void ImageProcessorFactory::init(const LedString& ledString, bool enableBlackBorderDetector, double blackborderThreshold)
void ImageProcessorFactory::init(const LedString& ledString, const Json::Value & blackborderConfig)
{
_ledString = ledString;
_enableBlackBorderDetector = enableBlackBorderDetector;
int threshold = int(std::ceil(blackborderThreshold * 255));
if (threshold < 0)
threshold = 0;
else if (threshold > 255)
threshold = 255;
_blackborderThreshold = uint8_t(threshold);
if (_enableBlackBorderDetector)
{
std::cout << "Black border threshold set to " << blackborderThreshold << " (" << int(_blackborderThreshold) << ")" << std::endl;
}
_blackborderConfig = blackborderConfig;
}
ImageProcessor* ImageProcessorFactory::newImageProcessor() const
{
return new ImageProcessor(_ledString, _enableBlackBorderDetector, _blackborderThreshold);
return new ImageProcessor(_ledString, _blackborderConfig);
}

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@ -44,11 +44,13 @@ Image<ColorRgb> createImage(unsigned width, unsigned height, unsigned topBorder,
int main()
{
unsigned unknownCnt = 600;
// unsigned unknownCnt = 600;
unsigned borderCnt = 50;
unsigned blurCnt = 0;
// unsigned blurCnt = 0;
Json::Value config;
BlackBorderProcessor processor(unknownCnt, borderCnt, blurCnt, 3);
// BlackBorderProcessor processor(unknownCnt, borderCnt, blurCnt, 3, config);
BlackBorderProcessor processor(config);
// Start with 'no border' detection
Image<ColorRgb> noBorderImage = createImage(64, 64, 0, 0);