QImage ImageCache::image(QString path, int width, int height, int &origWidth, int &origHeight)
{
if (m_cacheDir.isEmpty())
return scaledImage(Helper::instance()->getImage(path), width, height);
QString md5 = QCryptographicHash::hash(path.toUtf8(), QCryptographicHash::Md5).toHex();
QString baseName = QString("%1_%2_%3_").arg(md5).arg(width).arg(height);
bool update = true;
QDir dir(m_cacheDir);
QStringList files = dir.entryList(QStringList() << baseName + "*");
if (!files.isEmpty()) {
QString fileName = files.first();
QStringList parts = fileName.split("_");
if (parts.count() > 6) {
origWidth = parts.at(3).toInt();
origHeight = parts.at(4).toInt();
if (m_forceCache || parts.at(5).toInt() == getLastModified(path))
update = false;
}
}
if (update) {
QImage origImg = Helper::instance()->getImage(path);
origWidth = origImg.width();
origHeight = origImg.height();
QImage img = scaledImage(origImg, width, height);
img.save(m_cacheDir + "/" + QString("%1_%2_%3_%4_%5_%6_.png").arg(md5).arg(width).arg(height).arg(origWidth).arg(origHeight).arg(getLastModified(path)), "png", -1);
return img;
}
return Helper::instance()->getImage(m_cacheDir + "/" + files.first());
}
cv::Mat3b OpenCVUtil::tile_image_patches(const std::vector<cv::Mat3b>& images, int tileCols, int tileRows, int patchWidth, int patchHeight, int paddingSize)
{
// Scale and pad the input images to make the tiles.
std::vector<cv::Mat3b> tiles;
for(size_t i = 0, size = images.size(); i < size; ++i)
{
cv::Mat3b scaledImage(patchHeight, patchWidth);
cv::resize(images[i], scaledImage, scaledImage.size(), 0.0, 0.0, CV_INTER_NN);
tiles.push_back(pad_image(scaledImage, paddingSize));
}
// Make a blank output image of the right size to which the tiles can be copied.
const int tileHeight = patchHeight + 2 * paddingSize;
const int tileWidth = patchWidth + 2 * paddingSize;
cv::Mat3b tiledImage = cv::Mat3b::zeros(tileHeight * tileRows, tileWidth * tileCols);
// Copy the tiles across to the output image.
for(int i = 0, tileCount = tileCols * tileRows; i < tileCount; ++i)
{
int x = (i % tileCols) * tileWidth;
int y = (i / tileCols) * tileHeight;
cv::Rect roi(x, y, tileWidth, tileHeight);
tiles[i].copyTo(tiledImage(roi));
}
return tiledImage;
}
void Texture::GenerateManualMipmaps(const Image& image) const
{
unsigned int closestXPowerOf2 = Texture::ClosestPowerOf2(image.Width());
unsigned int closestYPowerOf2 = Texture::ClosestPowerOf2(image.Height());
Image scaledImage(image);
if ((closestXPowerOf2 != image.Width()) || (closestYPowerOf2 != image.Height()))
{
scaledImage.Scale(closestXPowerOf2, closestYPowerOf2);
}
GenerateManualMipmapsUsingPowerOf2Image(scaledImage);
}
int DrawSdk::Image::WriteScaledImageFile(WCHAR* scaledImageName, float scaleX, float scaleY, const WCHAR* format)
{
int hr = S_OK;
// // Starting the Gdiplus machine should be executed outside of this method
// Gdiplus::GdiplusStartupInput gdiplusStartupInput;
// ULONG_PTR gdiplusToken;
// Gdiplus::GdiplusStartup(&gdiplusToken, &gdiplusStartupInput, NULL);
Gdiplus::ImageCodecInfo *pImageCodecInfo = NULL;
CLSID *pClsid = NULL;
HDC hdc = CreateCompatibleDC(NULL);
// Get the encoder CLSID depending on the image format (image/jpeg, image/gif, image/png)
UINT num = 0;
UINT size = 0;
Gdiplus::GetImageEncodersSize(&num, &size);
if (size == 0)
hr = -1; // Failure
if (SUCCEEDED(hr))
{
pImageCodecInfo = (Gdiplus::ImageCodecInfo*)(malloc(size));
if (pImageCodecInfo == NULL)
hr = -1; // Failure
}
if (SUCCEEDED(hr))
{
Gdiplus::GetImageEncoders(num, size, pImageCodecInfo);
for(int j = 0; j < num; ++j)
{
if( wcscmp(pImageCodecInfo[j].MimeType, format) == 0 )
{
pClsid = &pImageCodecInfo[j].Clsid;
break; // Success
}
}
if (pClsid == NULL)
hr = -1; // Failure
}
// Bugfix 5301:
// If 'gdipImage_' is NULL then it was not kept in memory and therefore
// a temporary Gdiplus::Image object is created for the rescaling.
// This avoids having too much image data in the memory.
Gdiplus::Image *tmpImage = NULL;
if (SUCCEEDED(hr) && gdipImage_ == NULL) {
// convert char-String in WCHAR-String
int iStringLength = _tcslen(imageName_) + 1;
WCHAR *wcFilename = (WCHAR *)malloc(iStringLength*sizeof(WCHAR));
#ifdef _UNICODE
wcscpy(wcFilename, imageName_);
#else
MultiByteToWideChar( CP_ACP, 0, imageName, iStringLength,
wcFilename, iStringLength);
#endif
tmpImage = new Gdiplus::Image(wcFilename, FALSE);
if (wcFilename)
free(wcFilename);
} else {
tmpImage = gdipImage_;
}
if (SUCCEEDED(hr) && tmpImage != NULL)
{
// Resize the image by scaling factors
Gdiplus::REAL destWidth = scaleX * this->GetWidth();
Gdiplus::REAL destHeight = scaleY * this->GetHeight();
// If no correct size is defined in the object queue, use the real image size instead
if ( (this->GetWidth() <= 0.0f) && (this->GetHeight() <= 0.0f) )
{
destWidth = scaleX * tmpImage->GetWidth();
destHeight = scaleY * tmpImage->GetHeight();
}
// At least we have to write one pixel
if (destWidth < 1.0f)
destWidth = 1.0f;
if (destHeight < 1.0f)
destHeight = 1.0f;
Gdiplus::Bitmap scaledImage((int)(destWidth + 0.5f), (int)(destHeight + 0.5f));
scaledImage.SetResolution(tmpImage->GetHorizontalResolution(),
tmpImage->GetVerticalResolution());
Gdiplus::Graphics grPhoto(&scaledImage);
grPhoto.SetCompositingQuality(Gdiplus::CompositingQualityHighSpeed);
grPhoto.SetCompositingMode(Gdiplus::CompositingModeSourceOver);
grPhoto.SetInterpolationMode(Gdiplus::InterpolationModeHighQualityBicubic);
Gdiplus::Rect destRect(0, 0, (int)(destWidth + 0.5f), (int)(destHeight + 0.5f));
hr = grPhoto.DrawImage(tmpImage, destRect,
0, 0, tmpImage->GetWidth(),tmpImage->GetHeight(),
Gdiplus::UnitPixel);
// Write the scaled image to a file
if (SUCCEEDED(hr))
hr = scaledImage.Save(scaledImageName, pClsid, NULL);
}
// Cleanup
if (hdc)
{
::DeleteDC(hdc);
hdc = NULL;
}
if (pImageCodecInfo)
{
free(pImageCodecInfo);
pImageCodecInfo = NULL;
}
if (tmpImage != NULL && tmpImage != gdipImage_)
delete tmpImage;
// // Stop the Gdiplus machine --> this should be executed outside of this method (see above)
// Gdiplus::GdiplusShutdown(gdiplusToken);
return hr;
}
void CascadeClassifier::detectMultiScaleNoGrouping( const Mat& image, std::vector<Rect>& candidates,
std::vector<int>& rejectLevels, std::vector<double>& levelWeights,
double scaleFactor, Size minObjectSize, Size maxObjectSize,
bool outputRejectLevels )
{
candidates.clear();
if (!maskGenerator.empty())
maskGenerator->initializeMask(image);
if( maxObjectSize.height == 0 || maxObjectSize.width == 0 )
maxObjectSize = image.size();
Mat grayImage = image;
if( grayImage.channels() > 1 )
{
Mat temp;
cvtColor(grayImage, temp, COLOR_BGR2GRAY);
grayImage = temp;
}
Mat imageBuffer(image.rows + 1, image.cols + 1, CV_8U);
for( double factor = 1; ; factor *= scaleFactor )
{
Size originalWindowSize = getOriginalWindowSize();
Size windowSize( cvRound(originalWindowSize.width*factor), cvRound(originalWindowSize.height*factor) );
Size scaledImageSize( cvRound( grayImage.cols/factor ), cvRound( grayImage.rows/factor ) );
Size processingRectSize( scaledImageSize.width - originalWindowSize.width, scaledImageSize.height - originalWindowSize.height );
if( processingRectSize.width <= 0 || processingRectSize.height <= 0 )
break;
if( windowSize.width > maxObjectSize.width || windowSize.height > maxObjectSize.height )
break;
if( windowSize.width < minObjectSize.width || windowSize.height < minObjectSize.height )
continue;
Mat scaledImage( scaledImageSize, CV_8U, imageBuffer.data );
resize( grayImage, scaledImage, scaledImageSize, 0, 0, INTER_LINEAR );
int yStep;
if( getFeatureType() == cv::FeatureEvaluator::HOG )
{
yStep = 4;
}
else
{
yStep = factor > 2. ? 1 : 2;
}
int stripCount, stripSize;
const int PTS_PER_THREAD = 1000;
stripCount = ((processingRectSize.width/yStep)*(processingRectSize.height + yStep-1)/yStep + PTS_PER_THREAD/2)/PTS_PER_THREAD;
stripCount = std::min(std::max(stripCount, 1), 100);
stripSize = (((processingRectSize.height + stripCount - 1)/stripCount + yStep-1)/yStep)*yStep;
if( !detectSingleScale( scaledImage, stripCount, processingRectSize, stripSize, yStep, factor, candidates,
rejectLevels, levelWeights, outputRejectLevels ) )
break;
}
}