Opencv - create png image - opencv

As part of my project I wanted to send stream of images using websockets from embedded machine to client application and display them in img tag to achieve streaming.
Firstly I tried to send raw RGB data (752*480*3 - something about 1MB) but in the end I got some problems with encoding image to png in javascript based on my RGB image so I wanted to try to encode my data to PNG firstly and then sent it using websockets.
The thing is, I am having some problems with encoding my data to PNG using OpenCV library that is already used in the project.
Firstly, some code:
websocketBrokerStructure.matrix = cvEncodeImage(0, websocketBrokerStructure.bgrImageToSend, 0);
websocketBrokerStructure.imageDataLeft = websocketBrokerStructure.matrix->rows * websocketBrokerStructure.matrix->cols * websocketBrokerStructure.matrix->step;
websocketBrokerStructure.imageDataSent = 0;
but I am getting strange error during execution of the second line:
terminate called after throwing an instance of 'std::logic_error'
what(): basic_string::_S_construct NULL not valid
and I am a bit confused why I am getting this error from my code.
Also I am wondering if I understand it right: after invoking cvEncodeImage (where bgrImage is IplImage* with 3 channels - BGR) I just need to iterate through data member of my CvMatto get all of the png encoded data?

The cvEncodeImage function takes as its first parameter the extension of the image you want to encode. You are passing 0, which is the same thing as NULL. That's why you are getting the message NULL not valid.
You should probably use this:
websocketBrokerStructure.matrix = cvEncodeImage(".png", websocketBrokerStructure.bgrImageToSend, 0);
You can check out the documentation of cvEncodeImage here.
You can check out some examples of cvEncodeImage, or its C++ brother imencode here: encode_decode_test.cpp. They also show some parameters you can pass to cvEncodeImage in case you want to adjust them.

Related

Rails/Ruby save image as base64 and access it in the views

I would like to know can we convert a image into base64 and save it in a database and access it in the views.
I have searched google and stackoverflow, all of them starts from middle like encoding or displaying the image.
I need to know how can we convert a image url/path(lets say i store image inside my app and its url stored in column)
How to encode it as base64 before saving(should we convert to base64 first and save in db?).
How to display it in the views
You can split this task to three or four steps:
getting the image
encoding to base64
storing it in database (optionaly)
display it in views
Getting the image
From Assets pipeline
If you are using Rails asset pipeline for that, you can use Rails.application.assets hash to get to image: Rails.application.assets['image_name.png'].to_s will give you the content of image_name.png image.
from file - local or by url
Here is the question about that on StackOverflow.
encode
Base64 Ruby module docs tells how to use Base64 encoding in Ruby:
Base64.strict_encode64(your_content_here)
NOTE: in this case strict_encode64 is preferrable over just encode64 because it doesn't add any newlines. (credit goes to Sergey Mell for pointing that out)
From docs:
encode64 - ... Line feeds are added to every 60 encoded characters.
strict_encode64 - ... No line feeds are added.
Store it in database (optionaly)
I suggest you to create a separate ActiveRecord model for that, with field of type text to keep base64 representation of image.
Display it in views
You can provide data-url to src attribute of img tag, so, the browser will decode image from base64 and display it just like regular image:
<img src="data:image/png;base64,YOUR_BASE64_HERE"/>
Don't forget to change image format to whatever format you are using in data:image/png section.
UPDATE (2018-08-22): I have tried to use urlsafe_encode64, as suggested by Xornand, and for me it produces the output that is not recognized as image by the browser.
Tried in both Firefox 61.0.2 and Chromium 68.0.3440.106.
For the sake of reference and to enable experimentation, here are results themselves.
Image used as "original" (resized it to be even more small to reduce the size of base64 output):
encode64: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opvn2CRxLDL5ShB8ihgB+GKKBH//2Q==
strict_encode64:
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urlsafe_encode64:
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Creating an RGB CVOpenGLESTexture in iOS

I am trying to create a 3-channel CVOpenGLESTexture in iOS.
I can successfully create a single-channel texture by specifying kCVPixelFormatType_OneComponent8 in CVPixelBufferCreate() and GL_LUMINANCE for both format and internalFormat in CVOpenGLESTextureCacheCreateTextureFromImage().
Similarly, I can successfully create a 4-channel RGBA texture by specifying kCVPixelFormatType_32BGRA in CVPixelBufferCreate() and GL_RGBA for both format and internalFormat in CVOpenGLESTextureCacheCreateTextureFromImage().
I need to create 3-channel, 24-bit, RGB (or BGR) texture with accessible pixels.
I cannot seem to find the correct parameters (or combination thereof) to CVPixelBufferCreate() and CVOpenGLESTextureCacheCreateTextureFromImage() that will not cause either of them to fail.
Additional Info
The supported FOURCC format types reported by CVPixelFormatDescriptionArrayCreateWithAllPixelFormatTypes() on my device:
32, 24, 16, L565, 5551, L555, 2vuy, 2vuf, yuvs, yuvf, 40, L008, L010, 2C08, r408, v408, y408, y416, BGRA, b64a, b48r, b32a, b16g, R10k, v308, v216, v210, v410, r4fl, grb4, rgg4, bgg4, gbr4, 420v, 420f, 411v, 411f, 422v, 422f, 444v, 444f, y420, f420, a2vy, L00h, L00f, 2C0h, 2C0f, RGhA, RGfA, w30r, w40a, w40m, x420, x422, x444, x44p, xf20, xf22, xf44, xf4p, x22p, xf2p, b3a8.
Interestingly, some of these values are not defined in CVPixelBuffer.h.
When I pass kCVPixelFormatType_24RGB (24 == 0x18) to CVPixelBufferCreate() it succeeds, but then CVOpenGLESTextureCacheCreateTextureFromImage() fails with error code -6683:kCVReturnPixelBufferNotOpenGLCompatible.
Answering myself, though I will be happy to be proved wrong and shown how to do this.
As I show here (answering myself yet again) it is possible to list all the fourCC buffer formats supported on the device, and a bunch of format attributes associated with each such fourCC format.
The flags pertinent to this question are:
kCVPixelFormatOpenGLESCompatibility
kCVPixelFormatContainsAlpha : Should be false;
kCVPixelFormatContainsRGB : Note: supported only from __IPHONE_8_0, but not strictly necessary;
Using the debugger, I found another helpful key: CFSTR("IOSurfaceOpenGLESTextureCompatibility") which will verify that the OpenGL ES texture supports direct pixel access with no need for (the slower) glReadPixels() and glTexImage2D().
Unfortunately, using these flags, it seems that there is currently no such RGB/BGR supported format.

Resize / Convert an image from a stream with ImageResizer

I'm trying to figure out how to convert an image from a stream with ImageResizer (http://imageresizing.net/).
I have tried something like this.
Stream s = WebRequest.Create("http://example.com/resources/gfx/unnamed.webp").GetResponse().GetResponseStream();
ImageBuilder.Current.Build(s, "~/resources/gfx/photo3.png", new ResizeSettings("format=png"));
But i just get the error
"File may be corrupted, empty, or may contain a PNG image with a single dimension greater than 65,535 pixels."
When i do
using (Stream output = File.OpenWrite(Server.MapPath("~/resources/gfx/test.webp")))
using (Stream input = WebRequest.Create("http:///example.com/resources/gfx/unnamed.webp").GetResponse().GetResponseStream()) {
input.CopyTo(output);
}
ImageBuilder.Current.Build("~/resources/gfx/test.webp", "~/resources/gfx/photo3.png",
new ResizeSettings("format=png"));
It works fine, am i'm missing something here?
It's possible that 'output' has not been flushed to disk. .NET 4+ doesn't guarantee the file's actually written to disk just because you disposed the stream.
I assume you have the ImageResizer.Plugins.WebP plugin installed?

JavaCV Stitching

I am trying to stitch multiple images by using JavaCV 0.1 and OpenCV 2.4.0 in Java, i use this code for stitching images :
stitcher = Stitcher.createDefault(false);
MatVector images = new MatVector(imageN.size());
for(...){
CvArr image = cvLoadImage(imageN);
images.put(index,image);
}
MatVector result = new MatVector(1);
int status = stitcher.stitch(images,result);
if( status == stitcher.OK )
{
cvSaveImage(result.getIplImage(0));
}
NOTE 1 : Loaded images in this example are valid image for stitching.
NOTE 2 : C++ version of the code runs with no problem on current configuration
In stitcher.stitch method opencv throws an assertion exception such as "k == MAT". How should i fix this? Is MatVector usage is right in this sample code?
Thanks...
I found it, it is a bug related with JavaCv.
Actually JavaCv is not guilty.OpenCV stitcher API uses cv::OutputArray for returning stitched image but this method casts cv::OutputArray to cv::Mat when executing. JavaCV ports OpenCV method only by using parameter interface and so it converts the parameter as std::vector, this results as a assertion failure.
It is required to convert std::vector to Mat to make it working. I don't know any other way exist for this conversion but otherwise it is possible to be fixed by only lib's author.
It is said that c++ version is working but in fact, it is working when pano parameter is given as cv::Mat, when std::vector is entered it gives the same failure assertions again.

Is there a way to force Magick++ to skip its cache when writing modified PixelPackets?

I have written a program that relies on Magick++ simply for importing and exporting of a wide variety of image formats. It uses Image.getPixels() to get a PixelPacket, does a lot of matrix transformations, then calls Image.syncPixels() before writing a new image. The general approach is the same as the example shown in Magick++'s documentation. More or less, the relevant code is:
Magick::Image image("image01.bmp");
image.modifyImage();
Magick::PixelPacket *imagePixels = image.getPixels(0, 0, 10, 10);
// Matrix manipulation occurs here.
// All actual changes to the PixelPacket direct changes to pixels like so:
imagePixels[i].red = 4; // or any other integer
// finally, after matrix manipulation is done
image.syncPixels();
image.write("image01_transformed.bmp");
When I run the above code, the new image file ("image01_transformed.bmp" in this example) ends up being the same as the original. However, if I write it to a different format, such as "image01_transformed.ppm", I get the correct result: a modified image. I assume this is due to a cached version of the format-encoded image, and that Magick++ is for some reason not aware that the image is actually changed and therefore the cache is out of date. I tested this idea by adding image.blur(1.0, 0.1); immediately before image.syncPixels();, and forcing this inconsequential change did indeed result in the correct result for same-format images.
Is there a way to force Magick++ to realize that the cache is out-of-date? Am I using getPixels() and syncPixels() incorrectly in the first place? Thanks!

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