hyperion.ng/include/blackborder/BlackBorderDetector.h
LordGrey 25d79a9f3f
Qt6 support (#1363)
* Initial Qt6 config

* Change Package order to reingfence missing packages

* Update to QT 6.2.0

* Qt 6.2.0 updates

* macOS fix

* Simplify handling QT5 & Qt6 in parallel

* Updates for Windows

* Fix macos build

* macOS linker fix

* General support of QTDIR, update docu

* MaxOS add default qt directories

* Fix merge typo

* Update default CMakeSettings.json with installation path options

* Add additional libs required by Qt6 to CompileHowTo

* Fix Qt5 items

Co-authored-by: Paulchen-Panther <16664240+Paulchen-Panther@users.noreply.github.com>
2021-11-16 18:12:56 +01:00

303 lines
8.3 KiB
C++

//#include <iostream>
#pragma once
// Utils includes
#include <utils/Image.h>
namespace hyperion
{
///
/// Result structure of the detected blackborder.
///
struct BlackBorder
{
/// Flag 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
/// @param[in] threshold The threshold which the black-border detector should use
///
BlackBorderDetector(double threshold);
///
/// 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
///
uint8_t calculateThreshold(double blackborderThreshold) const;
///
/// default detection mode (3lines 4side detection)
template <typename Pixel_T>
BlackBorder process(const Image<Pixel_T> & image) const
{
// test centre and 33%, 66% of width/height
// 33 and 66 will check left and top
// centre will check right and bottom sides
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;
width--; // remove 1 pixel to get end pixel index
height--;
// find first X pixel of the image
for (int x = 0; x < width33percent; ++x)
{
if (!isBlack(image((width - x), yCenter))
|| !isBlack(image(x, height33percent))
|| !isBlack(image(x, height66percent)))
{
firstNonBlackXPixelIndex = x;
break;
}
}
// find first Y pixel of the image
for (int y = 0; y < height33percent; ++y)
{
if (!isBlack(image(xCenter, (height - y)))
|| !isBlack(image(width33percent, y))
|| !isBlack(image(width66percent, y)))
{
firstNonBlackYPixelIndex = y;
break;
}
}
// Construct result
BlackBorder detectedBorder;
detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
detectedBorder.verticalSize = firstNonBlackXPixelIndex;
return detectedBorder;
}
///
/// classic detection mode (topleft single line mode)
template <typename Pixel_T>
BlackBorder process_classic(const Image<Pixel_T> & image) const
{
// only test the topleft third of the image
int width = image.width() /3;
int height = image.height() / 3;
int maxSize = qMax(width, height);
int firstNonBlackXPixelIndex = -1;
int firstNonBlackYPixelIndex = -1;
// find some pixel of the image
for (int i = 0; i < maxSize; ++i)
{
int x = qMin(i, width);
int y = qMin(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) const
{
// 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 height66percent = height33percent * 2;
int yCenter = height / 2;
int firstNonBlackXPixelIndex = -1;
int firstNonBlackYPixelIndex = -1;
width--; // remove 1 pixel to get end pixel index
height--;
// find first X pixel of the image
int x;
for (x = 0; x < width33percent; ++x)
{
if (!isBlack(image((width - x), yCenter))
|| !isBlack(image(x, height33percent))
|| !isBlack(image(x, height66percent)))
{
firstNonBlackXPixelIndex = x;
break;
}
}
// find first Y pixel of the image
for (int y = 0; y < height33percent; ++y)
{
// left side top + left side bottom + right side top + right side bottom
if (!isBlack(image(x, y))
|| !isBlack(image(x, (height - y)))
|| !isBlack(image((width - x), y))
|| !isBlack(image((width - x), (height - y))))
{
// std::cout << "y " << y << " lt " << int(isBlack(color1)) << " lb " << int(isBlack(color2)) << " rt " << int(isBlack(color3)) << " rb " << int(isBlack(color4)) << std::endl;
firstNonBlackYPixelIndex = y;
break;
}
}
// Construct result
BlackBorder detectedBorder;
detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
detectedBorder.verticalSize = firstNonBlackXPixelIndex;
return detectedBorder;
}
///
/// letterbox detection mode (5lines top-bottom only detection)
template <typename Pixel_T>
BlackBorder process_letterbox(const Image<Pixel_T> & image) const
{
// test center and 25%, 75% of width
// 25 and 75 will check both top and bottom
// center will only check top (minimise false detection of captions)
int width = image.width();
int height = image.height();
int width25percent = width / 4;
int height33percent = height / 3;
int width75percent = width25percent * 3;
int xCenter = width / 2;
int firstNonBlackYPixelIndex = -1;
height--; // remove 1 pixel to get end pixel index
// find first Y pixel of the image
for (int y = 0; y < height33percent; ++y)
{
if (!isBlack(image(xCenter, y))
|| !isBlack(image(width25percent, y))
|| !isBlack(image(width75percent, y))
|| !isBlack(image(width25percent, (height - y)))
|| !isBlack(image(width75percent, (height - y))))
{
firstNonBlackYPixelIndex = y;
break;
}
}
// Construct result
BlackBorder detectedBorder;
detectedBorder.unknown = firstNonBlackYPixelIndex == -1;
detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
detectedBorder.verticalSize = 0;
return detectedBorder;
}
private:
///
/// Checks if a given color is considered black and therefore 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) const
{
// Return the simple compare of the color against black
return color.red < _blackborderThreshold && color.green < _blackborderThreshold && color.blue < _blackborderThreshold;
}
private:
/// Threshold for the black-border detector [0 .. 255]
const uint8_t _blackborderThreshold;
};
} // end namespace hyperion