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I was wondering if you can use the face detection opencv sample code and slot in a new xml file trainied to recognise the object you wanted it to.
would this work?
if not how do you do it, I have looked a few sites mainly site where it seems to suggest that its done somehow along those lines but I can't seem to get it to work, so was wondering if it is possible.
sure, that's possible.
the cascade classifier just finds, what the cascade-file was trained on, be it faces, eyes or soda-cans.
lots of existing examples here , and ofc, you can train your own, opencv comes with tools for that ( cascade_training, haar_training )
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I want to make custom os for a smartglass but I have no experience AOSP where should I start from and what are the things that I should take into consideration.
As for me, first you need to think about the DevKit, which is supported by AOSP out of the box. For example, in my projects I use HiKey960. The link below describes the basic steps of getting AOSP sources, building them, and target flashing: https://source.android.com/setup/build/devices#960userspace
Once you have buildable and runable AOSP, you can try adding your own functionality: application, services, native daemons, HAL implementation, and so on.
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I'm an android developer and I want to build my first game application which is 2 player snake and ladder game(like loud star idea)
My question is If I used game board image how I will move the object to the specific cell I Know that in my code I have to use 2d array to represent the game Idea but how I will move the object to the right cell in the image I hope my qustion is clear now
Any help is going to be appreciated
Android Studio
Learn some java
Learn the Android framework
Be patient
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I'm working on an Android app (though eventually I'll want to do the same thing on iOS) and I'm looking to build an image recognition feature into it. The user would snap a picture, then this component of the app would need to figure out what that image is, whether it's a bowling ball, a salad, a book, you name it. It would also be helpful if it could figure out roughly how big the object in question is, though I imagine the camera focus values could help with that. The objects in question would not be moving.
I've heard of neural networks being used, but I'm not sure how this could be implemented, especially since I want to be able to recognize a very wide range of objects. I highly doubt this sort of processing could happen natively on a phone either. What are some solutions to this problem?
I would suggest you look at OpenCV. They have an awesome open source library for image processing and object detection. They also have great Android sample apps ready for testing some of their APIs.
http://opencv.org/platforms/android.html
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I need to process elements in large array and due to performance issues i need to do this in GPU of android device. please give a idea to implement this.
Please take a look at http://developer.android.com/guide/topics/renderscript/compute.html. There are also some other examples and sample projects using RenderScript online. Note that there is no way to reliably access the GPU on Android, because not all Android devices have GPUs capable of doing compute workloads. RS is the preferred method for accelerating parallel work.
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i want to create a timeline that looks like this one or this one with android
who can gives me an idea on how to do or à tutorial please
thank you
You could use a charting library to get a lot of the work done easy, and customise where you need...or develop what you want from first principles to have ultimate control (will be a bit of hard work).
Try using aChartEngine (https://code.google.com/p/achartengine/), perhaps its TimeChart will get you going.