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https://github.com/hyperion-project/hyperion.ng.git
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301 lines
8.1 KiB
C++
301 lines
8.1 KiB
C++
#pragma once
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// Utils includes
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#include <utils/Image.h>
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namespace hyperion
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{
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///
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/// Result structure of the detected blackborder.
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///
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struct BlackBorder
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{
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/// Flag indicating if the border is unknown
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bool unknown;
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/// The size of the detected horizontal border
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int horizontalSize;
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/// The size of the detected vertical border
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int verticalSize;
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///
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/// Compares this BlackBorder to the given other BlackBorder
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///
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/// @param[in] other The other BlackBorder
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///
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/// @return True if this is the same border as other
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///
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inline bool operator== (const BlackBorder& other) const
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{
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if (unknown)
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{
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return other.unknown;
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}
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return other.unknown==false && horizontalSize==other.horizontalSize && verticalSize==other.verticalSize;
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}
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};
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///
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/// The BlackBorderDetector performs detection of black-borders on a single image.
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/// The detector will search for the upper left corner of the picture in the frame.
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/// Based on detected black pixels it will give an estimate of the black-border.
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///
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class BlackBorderDetector
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{
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public:
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///
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/// Constructs a black-border detector
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/// @param[in] threshold The threshold which the black-border detector should use
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///
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BlackBorderDetector(double threshold);
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///
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/// Performs the actual black-border detection on the given image
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///
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/// @param[in] image The image on which detection is performed
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///
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/// @return The detected (or not detected) black border info
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///
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uint8_t calculateThreshold(double blackborderThreshold) const;
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///
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/// default detection mode (3lines 4side detection)
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template <typename Pixel_T>
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BlackBorder process(const Image<Pixel_T> & image) const
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{
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// test centre and 33%, 66% of width/height
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// 33 and 66 will check left and top
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// centre will check right and bottom sides
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int width = image.width();
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int height = image.height();
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int width33percent = width / 3;
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int height33percent = height / 3;
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int width66percent = width33percent * 2;
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int height66percent = height33percent * 2;
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int xCenter = width / 2;
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int yCenter = height / 2;
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int firstNonBlackXPixelIndex = -1;
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int firstNonBlackYPixelIndex = -1;
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width--; // remove 1 pixel to get end pixel index
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height--;
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// find first X pixel of the image
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for (int x = 0; x < width33percent; ++x)
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{
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if (!isBlack(image((width - x), yCenter))
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|| !isBlack(image(x, height33percent))
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|| !isBlack(image(x, height66percent)))
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{
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firstNonBlackXPixelIndex = x;
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break;
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}
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}
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// find first Y pixel of the image
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for (int y = 0; y < height33percent; ++y)
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{
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if (!isBlack(image(xCenter, (height - y)))
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|| !isBlack(image(width33percent, y))
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|| !isBlack(image(width66percent, y)))
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{
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firstNonBlackYPixelIndex = y;
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break;
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}
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}
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// Construct result
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BlackBorder detectedBorder;
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detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
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detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
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detectedBorder.verticalSize = firstNonBlackXPixelIndex;
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return detectedBorder;
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}
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///
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/// classic detection mode (topleft single line mode)
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template <typename Pixel_T>
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BlackBorder process_classic(const Image<Pixel_T> & image) const
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{
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// only test the topleft third of the image
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int width = image.width() /3;
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int height = image.height() / 3;
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int maxSize = qMax(width, height);
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int firstNonBlackXPixelIndex = -1;
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int firstNonBlackYPixelIndex = -1;
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// find some pixel of the image
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for (int i = 0; i < maxSize; ++i)
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{
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int x = qMin(i, width);
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int y = qMin(i, height);
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const Pixel_T & color = image(x, y);
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if (!isBlack(color))
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{
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firstNonBlackXPixelIndex = x;
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firstNonBlackYPixelIndex = y;
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break;
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}
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}
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// expand image to the left
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for(; firstNonBlackXPixelIndex > 0; --firstNonBlackXPixelIndex)
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{
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const Pixel_T & color = image(firstNonBlackXPixelIndex-1, firstNonBlackYPixelIndex);
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if (isBlack(color))
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{
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break;
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}
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}
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// expand image to the top
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for(; firstNonBlackYPixelIndex > 0; --firstNonBlackYPixelIndex)
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{
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const Pixel_T & color = image(firstNonBlackXPixelIndex, firstNonBlackYPixelIndex-1);
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if (isBlack(color))
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{
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break;
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}
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}
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// Construct result
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BlackBorder detectedBorder;
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detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
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detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
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detectedBorder.verticalSize = firstNonBlackXPixelIndex;
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return detectedBorder;
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}
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///
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/// osd detection mode (find x then y at detected x to avoid changes by osd overlays)
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template <typename Pixel_T>
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BlackBorder process_osd(const Image<Pixel_T> & image) const
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{
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// find X position at height33 and height66 we check from the left side, Ycenter will check from right side
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// then we try to find a pixel at this X position from top and bottom and right side from top
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int width = image.width();
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int height = image.height();
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int width33percent = width / 3;
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int height33percent = height / 3;
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int height66percent = height33percent * 2;
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int yCenter = height / 2;
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int firstNonBlackXPixelIndex = -1;
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int firstNonBlackYPixelIndex = -1;
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width--; // remove 1 pixel to get end pixel index
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height--;
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// find first X pixel of the image
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int x;
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for (x = 0; x < width33percent; ++x)
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{
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if (!isBlack(image((width - x), yCenter))
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|| !isBlack(image(x, height33percent))
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|| !isBlack(image(x, height66percent)))
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{
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firstNonBlackXPixelIndex = x;
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break;
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}
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}
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// find first Y pixel of the image
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for (int y = 0; y < height33percent; ++y)
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{
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// left side top + left side bottom + right side top + right side bottom
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if (!isBlack(image(x, y))
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|| !isBlack(image(x, (height - y)))
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|| !isBlack(image((width - x), y))
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|| !isBlack(image((width - x), (height - y))))
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{
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firstNonBlackYPixelIndex = y;
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break;
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}
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}
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// Construct result
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BlackBorder detectedBorder;
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detectedBorder.unknown = firstNonBlackXPixelIndex == -1 || firstNonBlackYPixelIndex == -1;
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detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
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detectedBorder.verticalSize = firstNonBlackXPixelIndex;
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return detectedBorder;
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}
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///
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/// letterbox detection mode (5lines top-bottom only detection)
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template <typename Pixel_T>
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BlackBorder process_letterbox(const Image<Pixel_T> & image) const
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{
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// test center and 25%, 75% of width
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// 25 and 75 will check both top and bottom
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// center will only check top (minimise false detection of captions)
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int width = image.width();
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int height = image.height();
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int width25percent = width / 4;
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int height33percent = height / 3;
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int width75percent = width25percent * 3;
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int xCenter = width / 2;
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int firstNonBlackYPixelIndex = -1;
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height--; // remove 1 pixel to get end pixel index
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// find first Y pixel of the image
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for (int y = 0; y < height33percent; ++y)
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{
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if (!isBlack(image(xCenter, y))
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|| !isBlack(image(width25percent, y))
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|| !isBlack(image(width75percent, y))
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|| !isBlack(image(width25percent, (height - y)))
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|| !isBlack(image(width75percent, (height - y))))
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{
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firstNonBlackYPixelIndex = y;
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break;
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}
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}
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// Construct result
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BlackBorder detectedBorder;
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detectedBorder.unknown = firstNonBlackYPixelIndex == -1;
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detectedBorder.horizontalSize = firstNonBlackYPixelIndex;
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detectedBorder.verticalSize = 0;
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return detectedBorder;
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}
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private:
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///
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/// Checks if a given color is considered black and therefore could be part of the border.
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///
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/// @param[in] color The color to check
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///
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/// @return True if the color is considered black else false
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///
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template <typename Pixel_T>
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inline bool isBlack(const Pixel_T & color) const
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{
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// Return the simple compare of the color against black
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return color.red < _blackborderThreshold && color.green < _blackborderThreshold && color.blue < _blackborderThreshold;
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}
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private:
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/// Threshold for the black-border detector [0 .. 255]
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const uint8_t _blackborderThreshold;
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};
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} // end namespace hyperion
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