I've been working with OpenCV and Apple's Accelerate framework and find the performance of Accelerate to be slow and Apple's documentation limited. Let's take for example:
void equalizeHistogram(const cv::Mat &planar8Image, cv::Mat &equalizedImage)
{
cv::Size size = planar8Image.size();
vImage_Buffer planarImageBuffer = {
.width = static_cast<vImagePixelCount>(size.width),
.height = static_cast<vImagePixelCount>(size.height),
.rowBytes = planar8Image.step,
.data = planar8Image.data
};
vImage_Buffer equalizedImageBuffer = {
.width = static_cast<vImagePixelCount>(size.width),
.height = static_cast<vImagePixelCount>(size.height),
.rowBytes = equalizedImage.step,
.data = equalizedImage.data
};
TIME_START(VIMAGE_EQUALIZE_HISTOGRAM);
vImage_Error error = vImageEqualization_Planar8(&planarImageBuffer, &equalizedImageBuffer, kvImageNoFlags);
TIME_END(VIMAGE_EQUALIZE_HISTOGRAM);
if (error != kvImageNoError) {
NSLog(@"%s, vImage error %zd", __PRETTY_FUNCTION__, error);
}
}
This call takes roughly 20ms. Which has the practical meaning of being unusable in my application. Maybe equalization of the histogram is inherently slow, but I've also tested BGRA->Grayscale and found OpenCV can do it in ~5ms and vImage takes ~20ms.
In testing of other functions I found a project that made a simple slider app with a blur function (gist) that I cleaned up to test. Roughly ~20ms as well.
Is there some trick to getting these functions to be faster?
To get 30 frames per second using the equalizeHistogram function, you must deinterleave the image (convert from ARGBxxxx to PlanarX) and equalize ONLY R(ed)G(reen)B(lue); if you equalize A(lpha), the frame rate will drop to at least 24.
Here is the code that does exactly what you want, as fast as you want:
- (CVPixelBufferRef)copyRenderedPixelBuffer:(CVPixelBufferRef)pixelBuffer {
CVPixelBufferLockBaseAddress( pixelBuffer, 0 );
unsigned char *base = (unsigned char *)CVPixelBufferGetBaseAddress( pixelBuffer );
size_t width = CVPixelBufferGetWidth( pixelBuffer );
size_t height = CVPixelBufferGetHeight( pixelBuffer );
size_t stride = CVPixelBufferGetBytesPerRow( pixelBuffer );
vImage_Buffer _img = {
.data = base,
.height = height,
.width = width,
.rowBytes = stride
};
vImage_Error err;
vImage_Buffer _dstA, _dstR, _dstG, _dstB;
err = vImageBuffer_Init( &_dstA, height, width, 8 * sizeof( uint8_t ), kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageBuffer_Init (alpha) error: %ld", err);
err = vImageBuffer_Init( &_dstR, height, width, 8 * sizeof( uint8_t ), kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageBuffer_Init (red) error: %ld", err);
err = vImageBuffer_Init( &_dstG, height, width, 8 * sizeof( uint8_t ), kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageBuffer_Init (green) error: %ld", err);
err = vImageBuffer_Init( &_dstB, height, width, 8 * sizeof( uint8_t ), kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageBuffer_Init (blue) error: %ld", err);
err = vImageConvert_ARGB8888toPlanar8(&_img, &_dstA, &_dstR, &_dstG, &_dstB, kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageConvert_ARGB8888toPlanar8 error: %ld", err);
err = vImageEqualization_Planar8(&_dstR, &_dstR, kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageEqualization_Planar8 (red) error: %ld", err);
err = vImageEqualization_Planar8(&_dstG, &_dstG, kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageEqualization_Planar8 (green) error: %ld", err);
err = vImageEqualization_Planar8(&_dstB, &_dstB, kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageEqualization_Planar8 (blue) error: %ld", err);
err = vImageConvert_Planar8toARGB8888(&_dstA, &_dstR, &_dstG, &_dstB, &_img, kvImageNoFlags);
if (err != kvImageNoError)
NSLog(@"vImageConvert_Planar8toARGB8888 error: %ld", err);
err = vImageContrastStretch_ARGB8888( &_img, &_img, kvImageNoError );
if (err != kvImageNoError)
NSLog(@"vImageContrastStretch_ARGB8888 error: %ld", err);
free(_dstA.data);
free(_dstR.data);
free(_dstG.data);
free(_dstB.data);
CVPixelBufferUnlockBaseAddress( pixelBuffer, 0 );
return (CVPixelBufferRef)CFRetain( pixelBuffer );
}
Notice that I allocate the alpha channel, even though I perform nothing on it; that's simply because converting back and forth between ARGB8888 and Planar8 requires alpha-channel buffer allocation and reference. Same performance and quality enhancements, regardless.
Also note that I perform contrast stretching after converting the Planar8 buffers into a single ARGB8888 buffer; that's because it's faster than applying the function channel-by-channel, as I did with the histogram equalization function, and gets the same results as doing it individually (the contrast stretching function does not cause the same alpha-channel distortion as histogram equalization).