detector ported, no tests

This commit is contained in:
Henry Schimke
2022-10-08 10:48:16 -05:00
parent a205e1e08b
commit 50a675c693
7 changed files with 539 additions and 415 deletions

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@@ -1,405 +0,0 @@
/*
* Copyright 2007 ZXing authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.google.zxing.qrcode.detector;
import com.google.zxing.DecodeHintType;
import com.google.zxing.FormatException;
import com.google.zxing.NotFoundException;
import com.google.zxing.RXingResultPoint;
import com.google.zxing.RXingResultPointCallback;
import com.google.zxing.common.BitMatrix;
import com.google.zxing.common.DetectorRXingResult;
import com.google.zxing.common.GridSampler;
import com.google.zxing.common.PerspectiveTransform;
import com.google.zxing.common.detector.MathUtils;
import com.google.zxing.qrcode.decoder.Version;
import java.util.Map;
/**
* <p>Encapsulates logic that can detect a QR Code in an image, even if the QR Code
* is rotated or skewed, or partially obscured.</p>
*
* @author Sean Owen
*/
public class Detector {
private final BitMatrix image;
private RXingResultPointCallback resultPointCallback;
public Detector(BitMatrix image) {
this.image = image;
}
protected final BitMatrix getImage() {
return image;
}
protected final RXingResultPointCallback getRXingResultPointCallback() {
return resultPointCallback;
}
/**
* <p>Detects a QR Code in an image.</p>
*
* @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
* @throws NotFoundException if QR Code cannot be found
* @throws FormatException if a QR Code cannot be decoded
*/
public DetectorRXingResult detect() throws NotFoundException, FormatException {
return detect(null);
}
/**
* <p>Detects a QR Code in an image.</p>
*
* @param hints optional hints to detector
* @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
* @throws NotFoundException if QR Code cannot be found
* @throws FormatException if a QR Code cannot be decoded
*/
public final DetectorRXingResult detect(Map<DecodeHintType,?> hints) throws NotFoundException, FormatException {
resultPointCallback = hints == null ? null :
(RXingResultPointCallback) hints.get(DecodeHintType.NEED_RESULT_POINT_CALLBACK);
FinderPatternFinder finder = new FinderPatternFinder(image, resultPointCallback);
FinderPatternInfo info = finder.find(hints);
return processFinderPatternInfo(info);
}
protected final DetectorRXingResult processFinderPatternInfo(FinderPatternInfo info)
throws NotFoundException, FormatException {
FinderPattern topLeft = info.getTopLeft();
FinderPattern topRight = info.getTopRight();
FinderPattern bottomLeft = info.getBottomLeft();
float moduleSize = calculateModuleSize(topLeft, topRight, bottomLeft);
if (moduleSize < 1.0f) {
throw NotFoundException.getNotFoundInstance();
}
int dimension = computeDimension(topLeft, topRight, bottomLeft, moduleSize);
Version provisionalVersion = Version.getProvisionalVersionForDimension(dimension);
int modulesBetweenFPCenters = provisionalVersion.getDimensionForVersion() - 7;
AlignmentPattern alignmentPattern = null;
// Anything above version 1 has an alignment pattern
if (provisionalVersion.getAlignmentPatternCenters().length > 0) {
// Guess where a "bottom right" finder pattern would have been
float bottomRightX = topRight.getX() - topLeft.getX() + bottomLeft.getX();
float bottomRightY = topRight.getY() - topLeft.getY() + bottomLeft.getY();
// Estimate that alignment pattern is closer by 3 modules
// from "bottom right" to known top left location
float correctionToTopLeft = 1.0f - 3.0f / modulesBetweenFPCenters;
int estAlignmentX = (int) (topLeft.getX() + correctionToTopLeft * (bottomRightX - topLeft.getX()));
int estAlignmentY = (int) (topLeft.getY() + correctionToTopLeft * (bottomRightY - topLeft.getY()));
// Kind of arbitrary -- expand search radius before giving up
for (int i = 4; i <= 16; i <<= 1) {
try {
alignmentPattern = findAlignmentInRegion(moduleSize,
estAlignmentX,
estAlignmentY,
i);
break;
} catch (NotFoundException re) {
// try next round
}
}
// If we didn't find alignment pattern... well try anyway without it
}
PerspectiveTransform transform =
createTransform(topLeft, topRight, bottomLeft, alignmentPattern, dimension);
BitMatrix bits = sampleGrid(image, transform, dimension);
RXingResultPoint[] points;
if (alignmentPattern == null) {
points = new RXingResultPoint[]{bottomLeft, topLeft, topRight};
} else {
points = new RXingResultPoint[]{bottomLeft, topLeft, topRight, alignmentPattern};
}
return new DetectorRXingResult(bits, points);
}
private static PerspectiveTransform createTransform(RXingResultPoint topLeft,
RXingResultPoint topRight,
RXingResultPoint bottomLeft,
RXingResultPoint alignmentPattern,
int dimension) {
float dimMinusThree = dimension - 3.5f;
float bottomRightX;
float bottomRightY;
float sourceBottomRightX;
float sourceBottomRightY;
if (alignmentPattern != null) {
bottomRightX = alignmentPattern.getX();
bottomRightY = alignmentPattern.getY();
sourceBottomRightX = dimMinusThree - 3.0f;
sourceBottomRightY = sourceBottomRightX;
} else {
// Don't have an alignment pattern, just make up the bottom-right point
bottomRightX = (topRight.getX() - topLeft.getX()) + bottomLeft.getX();
bottomRightY = (topRight.getY() - topLeft.getY()) + bottomLeft.getY();
sourceBottomRightX = dimMinusThree;
sourceBottomRightY = dimMinusThree;
}
return PerspectiveTransform.quadrilateralToQuadrilateral(
3.5f,
3.5f,
dimMinusThree,
3.5f,
sourceBottomRightX,
sourceBottomRightY,
3.5f,
dimMinusThree,
topLeft.getX(),
topLeft.getY(),
topRight.getX(),
topRight.getY(),
bottomRightX,
bottomRightY,
bottomLeft.getX(),
bottomLeft.getY());
}
private static BitMatrix sampleGrid(BitMatrix image,
PerspectiveTransform transform,
int dimension) throws NotFoundException {
GridSampler sampler = GridSampler.getInstance();
return sampler.sampleGrid(image, dimension, dimension, transform);
}
/**
* <p>Computes the dimension (number of modules on a size) of the QR Code based on the position
* of the finder patterns and estimated module size.</p>
*/
private static int computeDimension(RXingResultPoint topLeft,
RXingResultPoint topRight,
RXingResultPoint bottomLeft,
float moduleSize) throws NotFoundException {
int tltrCentersDimension = MathUtils.round(RXingResultPoint.distance(topLeft, topRight) / moduleSize);
int tlblCentersDimension = MathUtils.round(RXingResultPoint.distance(topLeft, bottomLeft) / moduleSize);
int dimension = ((tltrCentersDimension + tlblCentersDimension) / 2) + 7;
switch (dimension & 0x03) { // mod 4
case 0:
dimension++;
break;
// 1? do nothing
case 2:
dimension--;
break;
case 3:
throw NotFoundException.getNotFoundInstance();
}
return dimension;
}
/**
* <p>Computes an average estimated module size based on estimated derived from the positions
* of the three finder patterns.</p>
*
* @param topLeft detected top-left finder pattern center
* @param topRight detected top-right finder pattern center
* @param bottomLeft detected bottom-left finder pattern center
* @return estimated module size
*/
protected final float calculateModuleSize(RXingResultPoint topLeft,
RXingResultPoint topRight,
RXingResultPoint bottomLeft) {
// Take the average
return (calculateModuleSizeOneWay(topLeft, topRight) +
calculateModuleSizeOneWay(topLeft, bottomLeft)) / 2.0f;
}
/**
* <p>Estimates module size based on two finder patterns -- it uses
* {@link #sizeOfBlackWhiteBlackRunBothWays(int, int, int, int)} to figure the
* width of each, measuring along the axis between their centers.</p>
*/
private float calculateModuleSizeOneWay(RXingResultPoint pattern, RXingResultPoint otherPattern) {
float moduleSizeEst1 = sizeOfBlackWhiteBlackRunBothWays((int) pattern.getX(),
(int) pattern.getY(),
(int) otherPattern.getX(),
(int) otherPattern.getY());
float moduleSizeEst2 = sizeOfBlackWhiteBlackRunBothWays((int) otherPattern.getX(),
(int) otherPattern.getY(),
(int) pattern.getX(),
(int) pattern.getY());
if (Float.isNaN(moduleSizeEst1)) {
return moduleSizeEst2 / 7.0f;
}
if (Float.isNaN(moduleSizeEst2)) {
return moduleSizeEst1 / 7.0f;
}
// Average them, and divide by 7 since we've counted the width of 3 black modules,
// and 1 white and 1 black module on either side. Ergo, divide sum by 14.
return (moduleSizeEst1 + moduleSizeEst2) / 14.0f;
}
/**
* See {@link #sizeOfBlackWhiteBlackRun(int, int, int, int)}; computes the total width of
* a finder pattern by looking for a black-white-black run from the center in the direction
* of another point (another finder pattern center), and in the opposite direction too.
*/
private float sizeOfBlackWhiteBlackRunBothWays(int fromX, int fromY, int toX, int toY) {
float result = sizeOfBlackWhiteBlackRun(fromX, fromY, toX, toY);
// Now count other way -- don't run off image though of course
float scale = 1.0f;
int otherToX = fromX - (toX - fromX);
if (otherToX < 0) {
scale = fromX / (float) (fromX - otherToX);
otherToX = 0;
} else if (otherToX >= image.getWidth()) {
scale = (image.getWidth() - 1 - fromX) / (float) (otherToX - fromX);
otherToX = image.getWidth() - 1;
}
int otherToY = (int) (fromY - (toY - fromY) * scale);
scale = 1.0f;
if (otherToY < 0) {
scale = fromY / (float) (fromY - otherToY);
otherToY = 0;
} else if (otherToY >= image.getHeight()) {
scale = (image.getHeight() - 1 - fromY) / (float) (otherToY - fromY);
otherToY = image.getHeight() - 1;
}
otherToX = (int) (fromX + (otherToX - fromX) * scale);
result += sizeOfBlackWhiteBlackRun(fromX, fromY, otherToX, otherToY);
// Middle pixel is double-counted this way; subtract 1
return result - 1.0f;
}
/**
* <p>This method traces a line from a point in the image, in the direction towards another point.
* It begins in a black region, and keeps going until it finds white, then black, then white again.
* It reports the distance from the start to this point.</p>
*
* <p>This is used when figuring out how wide a finder pattern is, when the finder pattern
* may be skewed or rotated.</p>
*/
private float sizeOfBlackWhiteBlackRun(int fromX, int fromY, int toX, int toY) {
// Mild variant of Bresenham's algorithm;
// see http://en.wikipedia.org/wiki/Bresenham's_line_algorithm
boolean steep = Math.abs(toY - fromY) > Math.abs(toX - fromX);
if (steep) {
int temp = fromX;
fromX = fromY;
fromY = temp;
temp = toX;
toX = toY;
toY = temp;
}
int dx = Math.abs(toX - fromX);
int dy = Math.abs(toY - fromY);
int error = -dx / 2;
int xstep = fromX < toX ? 1 : -1;
int ystep = fromY < toY ? 1 : -1;
// In black pixels, looking for white, first or second time.
int state = 0;
// Loop up until x == toX, but not beyond
int xLimit = toX + xstep;
for (int x = fromX, y = fromY; x != xLimit; x += xstep) {
int realX = steep ? y : x;
int realY = steep ? x : y;
// Does current pixel mean we have moved white to black or vice versa?
// Scanning black in state 0,2 and white in state 1, so if we find the wrong
// color, advance to next state or end if we are in state 2 already
if ((state == 1) == image.get(realX, realY)) {
if (state == 2) {
return MathUtils.distance(x, y, fromX, fromY);
}
state++;
}
error += dy;
if (error > 0) {
if (y == toY) {
break;
}
y += ystep;
error -= dx;
}
}
// Found black-white-black; give the benefit of the doubt that the next pixel outside the image
// is "white" so this last point at (toX+xStep,toY) is the right ending. This is really a
// small approximation; (toX+xStep,toY+yStep) might be really correct. Ignore this.
if (state == 2) {
return MathUtils.distance(toX + xstep, toY, fromX, fromY);
}
// else we didn't find even black-white-black; no estimate is really possible
return Float.NaN;
}
/**
* <p>Attempts to locate an alignment pattern in a limited region of the image, which is
* guessed to contain it. This method uses {@link AlignmentPattern}.</p>
*
* @param overallEstModuleSize estimated module size so far
* @param estAlignmentX x coordinate of center of area probably containing alignment pattern
* @param estAlignmentY y coordinate of above
* @param allowanceFactor number of pixels in all directions to search from the center
* @return {@link AlignmentPattern} if found, or null otherwise
* @throws NotFoundException if an unexpected error occurs during detection
*/
protected final AlignmentPattern findAlignmentInRegion(float overallEstModuleSize,
int estAlignmentX,
int estAlignmentY,
float allowanceFactor)
throws NotFoundException {
// Look for an alignment pattern (3 modules in size) around where it
// should be
int allowance = (int) (allowanceFactor * overallEstModuleSize);
int alignmentAreaLeftX = Math.max(0, estAlignmentX - allowance);
int alignmentAreaRightX = Math.min(image.getWidth() - 1, estAlignmentX + allowance);
if (alignmentAreaRightX - alignmentAreaLeftX < overallEstModuleSize * 3) {
throw NotFoundException.getNotFoundInstance();
}
int alignmentAreaTopY = Math.max(0, estAlignmentY - allowance);
int alignmentAreaBottomY = Math.min(image.getHeight() - 1, estAlignmentY + allowance);
if (alignmentAreaBottomY - alignmentAreaTopY < overallEstModuleSize * 3) {
throw NotFoundException.getNotFoundInstance();
}
AlignmentPatternFinder alignmentFinder =
new AlignmentPatternFinder(
image,
alignmentAreaLeftX,
alignmentAreaTopY,
alignmentAreaRightX - alignmentAreaLeftX,
alignmentAreaBottomY - alignmentAreaTopY,
overallEstModuleSize,
resultPointCallback);
return alignmentFinder.find();
}
}

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@@ -38,6 +38,10 @@ impl ResultPoint for AlignmentPattern {
fn getY(&self) -> f32 {
self.point.1
}
fn into_rxing_result_point(self) -> RXingResultPoint {
RXingResultPoint { x: self.point.0, y: self.point.1 }
}
}
impl AlignmentPattern {

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@@ -0,0 +1,488 @@
/*
* Copyright 2007 ZXing authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
use std::collections::HashMap;
use crate::{
common::{
detector::MathUtils, BitMatrix, DefaultGridSampler, DetectorRXingResult, GridSampler,
PerspectiveTransform,
},
qrcode::decoder::Version,
result_point_utils, DecodeHintType, DecodeHintValue, DecodingHintDictionary, Exceptions,
RXingResultPoint, RXingResultPointCallback, ResultPoint,
};
use super::{
AlignmentPattern, AlignmentPatternFinder, FinderPatternFinder, FinderPatternInfo,
QRCodeDetectorResult,
};
/**
* <p>Encapsulates logic that can detect a QR Code in an image, even if the QR Code
* is rotated or skewed, or partially obscured.</p>
*
* @author Sean Owen
*/
pub struct Detector {
image: BitMatrix,
resultPointCallback: Option<RXingResultPointCallback>,
}
impl Detector {
pub fn new(image: BitMatrix) -> Self {
Self {
image,
resultPointCallback: None,
}
}
pub fn getImage(&self) -> &BitMatrix {
&self.image
}
pub fn getRXingResultPointCallback(&self) -> &Option<RXingResultPointCallback> {
&self.resultPointCallback
}
/**
* <p>Detects a QR Code in an image.</p>
*
* @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
* @throws NotFoundException if QR Code cannot be found
* @throws FormatException if a QR Code cannot be decoded
*/
pub fn detect(&mut self) -> Result<QRCodeDetectorResult, Exceptions> {
self.detect_with_hints(&HashMap::new())
}
/**
* <p>Detects a QR Code in an image.</p>
*
* @param hints optional hints to detector
* @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
* @throws NotFoundException if QR Code cannot be found
* @throws FormatException if a QR Code cannot be decoded
*/
pub fn detect_with_hints(
&mut self,
hints: &DecodingHintDictionary,
) -> Result<QRCodeDetectorResult, Exceptions> {
self.resultPointCallback =
if let Some(nrpc) = hints.get(&DecodeHintType::NEED_RESULT_POINT_CALLBACK) {
if let DecodeHintValue::NeedResultPointCallback(cb) = nrpc {
Some(*cb)
} else {
None
}
} else {
None
};
// self.resultPointCallback = hints.get(&DecodeHintType::NEED_RESULT_POINT_CALLBACK);
// resultPointCallback = hints == null ? null :
// (RXingResultPointCallback) hints.get(DecodeHintType.NEED_RESULT_POINT_CALLBACK);
let mut finder =
FinderPatternFinder::with_callback(self.image.clone(), self.resultPointCallback);
let info = finder.find(hints)?;
self.processFinderPatternInfo(info)
}
pub fn processFinderPatternInfo(
&self,
info: FinderPatternInfo,
) -> Result<QRCodeDetectorResult, Exceptions> {
let topLeft = info.getTopLeft();
let topRight = info.getTopRight();
let bottomLeft = info.getBottomLeft();
let moduleSize = self.calculateModuleSize(topLeft, topRight, bottomLeft);
if moduleSize < 1.0 {
return Err(Exceptions::NotFoundException("not found".to_owned()));
}
let dimension = Self::computeDimension(topLeft, topRight, bottomLeft, moduleSize)?;
let provisionalVersion = Version::getProvisionalVersionForDimension(dimension)?;
let modulesBetweenFPCenters = provisionalVersion.getDimensionForVersion() - 7;
let mut alignmentPattern = None;
// Anything above version 1 has an alignment pattern
if provisionalVersion.getAlignmentPatternCenters().len() > 0 {
// Guess where a "bottom right" finder pattern would have been
let bottomRightX = topRight.getX() - topLeft.getX() + bottomLeft.getX();
let bottomRightY = topRight.getY() - topLeft.getY() + bottomLeft.getY();
// Estimate that alignment pattern is closer by 3 modules
// from "bottom right" to known top left location
let correctionToTopLeft = 1.0 - (3.0 / modulesBetweenFPCenters as f32);
let estAlignmentX =
(topLeft.getX() + correctionToTopLeft * (bottomRightX - topLeft.getX())) as u32;
let estAlignmentY =
(topLeft.getY() + correctionToTopLeft * (bottomRightY - topLeft.getY())) as u32;
// Kind of arbitrary -- expand search radius before giving up
let mut i = 4;
while i <= 16 {
// for (int i = 4; i <= 16; i <<= 1) {
if let Ok(ap) =
self.findAlignmentInRegion(moduleSize, estAlignmentX, estAlignmentY, i as f32)
{
alignmentPattern = Some(ap);
break;
}
// try {
// alignmentPattern = findAlignmentInRegion(moduleSize,
// estAlignmentX,
// estAlignmentY,
// i);
// break;
// } catch (NotFoundException re) {
// // try next round
// }
i <<= 1;
}
// If we didn't find alignment pattern... well try anyway without it
}
let ap_ref = if alignmentPattern.is_some() {
Some(alignmentPattern.as_ref().unwrap())
} else {
None
};
let transform = Self::createTransform(topLeft, topRight, bottomLeft, ap_ref, dimension);
let bits = Detector::sampleGrid(&self.image, &transform, dimension)?;
let points = if alignmentPattern.is_none() {
vec![
bottomLeft.into_rxing_result_point(),
topLeft.into_rxing_result_point(),
topRight.into_rxing_result_point(),
]
} else {
vec![
bottomLeft.into_rxing_result_point(),
topLeft.into_rxing_result_point(),
topRight.into_rxing_result_point(),
alignmentPattern.unwrap().into_rxing_result_point(),
]
};
Ok(QRCodeDetectorResult::new(bits, points))
}
fn createTransform<T: ResultPoint, X: ResultPoint>(
topLeft: &T,
topRight: &T,
bottomLeft: &T,
alignmentPattern: Option<&X>,
dimension: u32,
) -> PerspectiveTransform {
let dimMinusThree = dimension as f32 - 3.5;
let bottomRightX: f32;
let bottomRightY: f32;
let sourceBottomRightX: f32;
let sourceBottomRightY: f32;
if (alignmentPattern.is_some()) {
let alignmentPattern = alignmentPattern.as_ref().unwrap();
bottomRightX = alignmentPattern.getX();
bottomRightY = alignmentPattern.getY();
sourceBottomRightX = dimMinusThree - 3.0;
sourceBottomRightY = sourceBottomRightX;
} else {
// Don't have an alignment pattern, just make up the bottom-right point
bottomRightX = (topRight.getX() - topLeft.getX()) + bottomLeft.getX();
bottomRightY = (topRight.getY() - topLeft.getY()) + bottomLeft.getY();
sourceBottomRightX = dimMinusThree;
sourceBottomRightY = dimMinusThree;
}
return PerspectiveTransform::quadrilateralToQuadrilateral(
3.5,
3.5,
dimMinusThree,
3.5,
sourceBottomRightX,
sourceBottomRightY,
3.5,
dimMinusThree,
topLeft.getX(),
topLeft.getY(),
topRight.getX(),
topRight.getY(),
bottomRightX,
bottomRightY,
bottomLeft.getX(),
bottomLeft.getY(),
);
}
fn sampleGrid(
image: &BitMatrix,
transform: &PerspectiveTransform,
dimension: u32,
) -> Result<BitMatrix, Exceptions> {
let sampler = DefaultGridSampler {};
return sampler.sample_grid(&image, dimension, dimension, transform);
}
/**
* <p>Computes the dimension (number of modules on a size) of the QR Code based on the position
* of the finder patterns and estimated module size.</p>
*/
fn computeDimension<T: ResultPoint>(
topLeft: &T,
topRight: &T,
bottomLeft: &T,
moduleSize: f32,
) -> Result<u32, Exceptions> {
let tltrCentersDimension =
MathUtils::round(result_point_utils::distance(topLeft, topRight) / moduleSize);
let tlblCentersDimension =
MathUtils::round(result_point_utils::distance(topLeft, bottomLeft) / moduleSize);
let mut dimension = ((tltrCentersDimension + tlblCentersDimension) / 2) + 7;
match dimension & 0x03 {
0 => dimension += 1,
2 => dimension -= 1,
3 => return Err(Exceptions::NotFoundException("not found".to_owned())),
_ => {}
}
// switch (dimension & 0x03) { // mod 4
// case 0:
// dimension++;
// break;
// // 1? do nothing
// case 2:
// dimension--;
// break;
// case 3:
// return Err(Exceptions::NotFoundException("not found".to_owned()))
// }
Ok(dimension as u32)
}
/**
* <p>Computes an average estimated module size based on estimated derived from the positions
* of the three finder patterns.</p>
*
* @param topLeft detected top-left finder pattern center
* @param topRight detected top-right finder pattern center
* @param bottomLeft detected bottom-left finder pattern center
* @return estimated module size
*/
pub fn calculateModuleSize<T: ResultPoint>(
&self,
topLeft: &T,
topRight: &T,
bottomLeft: &T,
) -> f32 {
// Take the average
return (self.calculateModuleSizeOneWay(topLeft, topRight)
+ self.calculateModuleSizeOneWay(topLeft, bottomLeft))
/ 2.0;
}
/**
* <p>Estimates module size based on two finder patterns -- it uses
* {@link #sizeOfBlackWhiteBlackRunBothWays(int, int, int, int)} to figure the
* width of each, measuring along the axis between their centers.</p>
*/
fn calculateModuleSizeOneWay<T: ResultPoint>(&self, pattern: &T, otherPattern: &T) -> f32 {
let moduleSizeEst1 = self.sizeOfBlackWhiteBlackRunBothWays(
pattern.getX() as u32,
pattern.getY() as u32,
otherPattern.getX() as u32,
otherPattern.getY() as u32,
);
let moduleSizeEst2 = self.sizeOfBlackWhiteBlackRunBothWays(
otherPattern.getX() as u32,
otherPattern.getY() as u32,
pattern.getX() as u32,
pattern.getY() as u32,
);
if moduleSizeEst1.is_nan() {
return moduleSizeEst2 / 7.0;
}
if moduleSizeEst2.is_nan() {
return moduleSizeEst1 / 7.0;
}
// Average them, and divide by 7 since we've counted the width of 3 black modules,
// and 1 white and 1 black module on either side. Ergo, divide sum by 14.
return (moduleSizeEst1 + moduleSizeEst2) / 14.0;
}
/**
* See {@link #sizeOfBlackWhiteBlackRun(int, int, int, int)}; computes the total width of
* a finder pattern by looking for a black-white-black run from the center in the direction
* of another point (another finder pattern center), and in the opposite direction too.
*/
fn sizeOfBlackWhiteBlackRunBothWays(&self, fromX: u32, fromY: u32, toX: u32, toY: u32) -> f32 {
let mut result = self.sizeOfBlackWhiteBlackRun(fromX, fromY, toX, toY);
// Now count other way -- don't run off image though of course
let mut scale = 1.0;
let mut otherToX = fromX - (toX - fromX);
if (otherToX < 0) {
scale = fromX as f32 / (fromX - otherToX) as f32;
otherToX = 0;
} else if (otherToX >= self.image.getWidth()) {
scale = (self.image.getWidth() - 1 - fromX) as f32 / (otherToX - fromX) as f32;
otherToX = self.image.getWidth() - 1;
}
let mut otherToY = (fromY - (toY - fromY) * scale as u32) as u32;
scale = 1.0;
if (otherToY < 0) {
scale = fromY as f32 / (fromY - otherToY) as f32;
otherToY = 0;
} else if (otherToY >= self.image.getHeight()) {
scale = (self.image.getHeight() - 1 - fromY) as f32 / (otherToY - fromY) as f32;
otherToY = self.image.getHeight() - 1;
}
otherToX = (fromX + (otherToX - fromX) * scale as u32) as u32;
result += self.sizeOfBlackWhiteBlackRun(fromX, fromY, otherToX, otherToY);
// Middle pixel is double-counted this way; subtract 1
return result - 1.0;
}
/**
* <p>This method traces a line from a point in the image, in the direction towards another point.
* It begins in a black region, and keeps going until it finds white, then black, then white again.
* It reports the distance from the start to this point.</p>
*
* <p>This is used when figuring out how wide a finder pattern is, when the finder pattern
* may be skewed or rotated.</p>
*/
fn sizeOfBlackWhiteBlackRun(&self, fromX: u32, fromY: u32, toX: u32, toY: u32) -> f32 {
let mut fromX = fromX;
let mut fromY = fromY;
let mut toX = toX;
let mut toY = toY;
// Mild variant of Bresenham's algorithm;
// see http://en.wikipedia.org/wiki/Bresenham's_line_algorithm
let steep = (toY - fromY) > (toX - fromX);
if (steep) {
let mut temp = fromX;
fromX = fromY;
fromY = temp;
temp = toX;
toX = toY;
toY = temp;
}
let dx: i32 = (toX - fromX) as i32;
let dy: i32 = (toY - fromY) as i32;
let mut error = -dx / 2;
let xstep: i32 = if fromX < toX { 1 } else { -1 };
let ystep: i32 = if fromY < toY { 1 } else { -1 };
// In black pixels, looking for white, first or second time.
let mut state = 0;
// Loop up until x == toX, but not beyond
let xLimit = toX as i32 + xstep;
let mut x: i32 = fromX as i32;
let mut y: i32 = fromY as i32;
while x != xLimit {
// for (int x = fromX, y = fromY; x != xLimit; x += xstep) {
let realX = if steep { y } else { x };
let realY = if steep { x } else { y };
// Does current pixel mean we have moved white to black or vice versa?
// Scanning black in state 0,2 and white in state 1, so if we find the wrong
// color, advance to next state or end if we are in state 2 already
if ((state == 1) == self.image.get(realX as u32, realY as u32)) {
if (state == 2) {
return MathUtils::distance_int(x, y, fromX as i32, fromY as i32);
}
state += 1;
}
error += dy;
if (error > 0) {
if (y == toY as i32) {
break;
}
y += ystep;
error -= dx;
}
x += xstep;
}
// Found black-white-black; give the benefit of the doubt that the next pixel outside the image
// is "white" so this last point at (toX+xStep,toY) is the right ending. This is really a
// small approximation; (toX+xStep,toY+yStep) might be really correct. Ignore this.
if (state == 2) {
return MathUtils::distance_int(
toX as i32 + xstep as i32,
toY as i32,
fromX as i32,
fromY as i32,
);
}
// else we didn't find even black-white-black; no estimate is really possible
return f32::NAN;
}
/**
* <p>Attempts to locate an alignment pattern in a limited region of the image, which is
* guessed to contain it. This method uses {@link AlignmentPattern}.</p>
*
* @param overallEstModuleSize estimated module size so far
* @param estAlignmentX x coordinate of center of area probably containing alignment pattern
* @param estAlignmentY y coordinate of above
* @param allowanceFactor number of pixels in all directions to search from the center
* @return {@link AlignmentPattern} if found, or null otherwise
* @throws NotFoundException if an unexpected error occurs during detection
*/
pub fn findAlignmentInRegion(
&self,
overallEstModuleSize: f32,
estAlignmentX: u32,
estAlignmentY: u32,
allowanceFactor: f32,
) -> Result<AlignmentPattern, Exceptions> {
// Look for an alignment pattern (3 modules in size) around where it
// should be
let allowance = (allowanceFactor * overallEstModuleSize) as u32;
let alignmentAreaLeftX = 0.max(estAlignmentX - allowance);
let alignmentAreaRightX = (self.image.getWidth() - 1).min(estAlignmentX + allowance);
if ((alignmentAreaRightX - alignmentAreaLeftX) as f32) < overallEstModuleSize * 3.0 {
return Err(Exceptions::NotFoundException("not found".to_owned()));
}
let alignmentAreaTopY = 0.max(estAlignmentY - allowance);
let alignmentAreaBottomY = (self.image.getHeight() - 1).min(estAlignmentY + allowance);
if alignmentAreaBottomY - alignmentAreaTopY < overallEstModuleSize as u32 * 3 {
return Err(Exceptions::NotFoundException("not found".to_owned()));
}
let mut alignmentFinder = AlignmentPatternFinder::new(
self.image.clone(),
alignmentAreaLeftX,
alignmentAreaTopY,
alignmentAreaRightX - alignmentAreaLeftX,
alignmentAreaBottomY - alignmentAreaTopY,
overallEstModuleSize,
self.resultPointCallback,
);
alignmentFinder.find()
}
}

View File

@@ -23,8 +23,8 @@ use crate::{RXingResultPoint, ResultPoint};
*
* @author Sean Owen
*/
#[derive(Debug,Clone, Copy,PartialEq)]
pub struct FinderPattern {
#[derive(Debug, Clone, Copy, PartialEq)]
pub struct FinderPattern {
estimatedModuleSize: f32,
count: usize,
point: (f32, f32),
@@ -38,6 +38,10 @@ impl ResultPoint for FinderPattern {
fn getY(&self) -> f32 {
self.point.1
}
fn into_rxing_result_point(self) -> RXingResultPoint {
RXingResultPoint { x: self.point.0, y: self.point.1 }
}
}
impl FinderPattern {

View File

@@ -3,9 +3,13 @@ mod finder_pattern;
mod alignment_pattern;
mod alignment_pattern_finder;
mod finder_pattern_finder;
mod detector;
mod qrcode_detector_result;
pub use finder_pattern_info::*;
pub use finder_pattern::*;
pub use alignment_pattern::*;
pub use alignment_pattern_finder::*;
pub use finder_pattern_finder::*;
pub use finder_pattern_finder::*;
pub use detector::*;
pub use qrcode_detector_result::*;

View File

@@ -0,0 +1,28 @@
use crate::{
common::{BitMatrix, DetectorRXingResult},
RXingResultPoint, ResultPoint,
};
pub struct QRCodeDetectorResult {
bit_source: BitMatrix,
result_points: Vec<RXingResultPoint>,
}
impl QRCodeDetectorResult {
pub fn new(bit_source: BitMatrix, result_points: Vec<RXingResultPoint>) -> Self {
Self {
bit_source,
result_points,
}
}
}
impl DetectorRXingResult for QRCodeDetectorResult {
fn getBits(&self) -> &crate::common::BitMatrix {
&self.bit_source
}
fn getPoints(&self) -> &Vec<crate::RXingResultPoint> {
&self.result_points
}
}