I am trying to make a photo editing application for iOS, but am not sure where to start looking. I have attached an image made in Word... that hopefully simply depicts what I am trying to achieve. It will involved manipulating individual pixels of a shape/image and masking/clipping. WHow should I start and what resources are available to me other than the developer docs?
Cheers
If you are not new to programming I would suggest a trial and run kind of approach. If it was me, I would follow a approach like this
Figuring out what to do/ what not to do
Do I need to develop the tech I want from scratch or can I use some pods ?
What are the good reads and example apps - (Try this)
Development approach
Build a photo gallery to pick images from
Build a EDIT mode screen
Get set of template overlay images
Figure out how to overlay them on top of each other
Export the final picture as one picture
The developer documentation is essential when it comes to learning new APIs, but sometimes it can be a little overwhelming. You can try reading raywenderlich.com tutorials on Core Image first to get an idea (link here) or find a book on computer graphics. It is essential to understand at least the underlying techniques to efficiently program image processing code. In many cases you'll find there is a more elegant technique than just looping on pixels and modifying one-by-one.
Then you can continue with reading on image compositing using core image for example.
Related
First, you need to know that I'm a beginner in this subject. Initially, I'm an Embedded System Developpers but I never worked with image recognition.
Let me expose my main goal:
I would like to create my own database of Logos and be able to
recognize them in a larger image. Typical application would be, for
example, to make a database of pepsi logos and coca-cola logos and
when I take a photo of a bottle of Soda, it tells me if it one of
them or an another.
So, here is my problem:
I first wanted to use the Auto ML Kit of Google. I gave him my
databases so it could train itself on it. My first attempt was to
take photos of bottle entirely and then compare. It was ok but not
too efficient. I then tried to give him only logos but after
training, it couldnt recognize anything in the whole image of a
bottle.
I think I didn't give enough images in the first case. But I'd prefer to use the second case (by giving only logo) so that the machine would search something similar in the image.
Finally, my questions:
If you've worked with ML Kit from Google, were you able to train a
model by giving images that should be recognized in a larger image?
If yes, do you have any hints to give me?
Do you know reliable software that could help me to perform tests of this kind? I thought about Azure Machine Learning Studio from
Microsoft (since I develop on Visual Studio).
In a first time, I'd like to code as few as I can just for testing. Maybe later I could try to code my own Machine Learning System but I think it's a big challenge.
I also thought that I would need to split my image in smaller image and then send each of this images into the Machine but it would be time consuming and I need a fast reaction (like < 2 seconds).
Thanks in advance for your answer. I don't need complete answer with full tutorial (Stack Overflow is not intended for that anyway ^^) but just some advices would already be good.
Have a good day!
Azure’s Custom Vision is great for this: https://www.customvision.ai
Let’s say you want to detect a pepsi logo. Upload 70 images of products with the logo on them. Use Custom Vision to draw a box around the logo for each photo. Click “train”, and you get a tensorflow model with code.
Look up any tutorial for it, it’s pretty incredible and really easy to use.
I have planned to detect an image in a news paper play the video relevant to it. I have seen several news paper reading AR apps include this feature. But i couldn't find how to do so. How can I do it??
I dont expect any code. But like to know what are the steps I should follow to do this. Thank you.
You need to browse through the available marker-based AR SDKs - such SDKs let you defined in advance the database of images you would like to detect and respond to, and once any of these images is detected during runtime, you get some kind of an event with data on the detected image.
Vuforia is considered a good one and it has good samples, so it is supposed to be easier to start with. You should also check out Kudan, and there are more.
I am totally new to Image processing. I just started my Master thesis in the area of Computer vision and Machine learning. My background is Informatics. Now, my first task is to register the images of some fishes(Image registration) as they come out of water. I have got stream of images and I want to come up with a model of the fish by aligning the temporally different images of a fish. As, I can understand, I will have to fist of all remove the background and water from the images to work on just fishes, am I right?
Can anyone give me a brief idea of how I should go forward or the things I should read first before I can understand the things. For example, should I read the basics of Image Processing, Feature detection, Image segmentation....? and regarding the programming language I can use - one where I can find good libraries, forums, other help.
I would be really grateful, if anyone can help. Thanks.
I know how to apply two effects to images -- blurring and making them grayscale. However, I would like to expand my knowledge further and learn more things of this nature.
I decided to Google them but found out that I do not even know what they are called.
I would like to ask: How do I progress further into image processing?
Image processing is a very big area with many applications.
These applications go from medical imaging, data compression and many
commercial applications like the ones you find in photoshop.
Without knowing where you are going to apply image processing, I assume
that you want to learn for the sake of curiosity :).
Today we have lots of online courses that make learning more easy.
I did an image processing course by Guilhermo Sapiro on the coursera
website that helped a lot https://www.coursera.org/course/images .
The course has already ended but the video classes are also available
on youtube. http://www.youtube.com/watch?v=GWCB3pKi2ko ( One about histogram equalization
you can see others on the related videos)
Another source is the amazing book by Rafael gonzales calle Digital Image Processing.
If you're looking for a website solution this is a good guide to how to use the css filter effect: http://www.html5rocks.com/en/tutorials/filters/understanding-css/
If you're looking for something else, I think more detail on your application is needed.
I am new to iOS programming and am interested in working with images. Basically, I want to be able to obtain the (0,255) and RGB tuples of every pixel in a given image. What would be the best way of doing this? Would I need to use Open GL, or something similar?
Thanks
If you want to work with images, get a copy of Apple's 'Quartz 2D Programming Guide'. If you want even more detailed how-to, get a copy of the "Programming with Quartz" book on Amazon (its says Mac in the title as it predates iOS).
Essentially you are going to take images, draw them into bit map contexts, then determine the rgba layout by querying the image.
If you want to use system resources to assist you in making certain types of changes to images, there is a OSX framework recently moved to iOS called the Accelerate Framework. and it has a lot of functions in it for image manipulation (vImage).
For reading and writing images to the file system look at Apple's 'Image I/O Guide'. For advanced filtering there is Core Image, which allows you to apply filters to images.
EDIT: If you have any interest in really fast accellerated code that uses the GPU to perform some sophisticated filtering, you can checkout Brad Larson's GPU Image project on github.