Problem when using the flash light while reading in the OCR libraries The flash stops and there is no way to turn it on
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I've used OpenTok to create a web platform and works fine with Web browsers and Android devices. I've swapped the encoding to support iOS and whenever someone cycles camera on an iOS device, the quality of the video degrades alot making it all fuzzy and sometimes causes the camera feed to freeze.
Is this just an encoding issue? I can't quite figure out why this happens or what causes this?
I am developing an app for iOS devices that is supposed to have a waveforms of music files like on SoundCloud. The problem is that I have achieved generation of waveform of fully downloaded file, how to generate a waveform of streaming audio during its playback? If someone's aware of how SoundCloud presents its waveforms please reply.
If we are talking about SoundCloud, for displaying an audio waveform, what I think is that they are -somehow- working with metadata for each specific audio to draw its desired waveform; Why it might be right? that's because the waveform will be drawn for each audio even before playing it (without waiting for streaming it). Applying the previous approach might be suitable solution for your issue.
However, I suggest to checkout this library, it might contains what are you looking for (drawing the waveform while streaming the audio file).
Also checking this Q&A might be helpful to your case.
Hope this helped.
I am looking into VR using Native swift, found some interesting ways to port google cardboard SDK but want to reach out and see if anyone has experience in this, specifically capturing panoramic images using an iPhone and converting them into VR content.
I am recording videos and playing them back using AVFoundation. Everything is perfect except the hissing which is there in the whole video. You can hear this hissing in every video captured from any iPad. Even videos captured from Apple's inbuilt camera app has it.
To hear it clearly, you can record a video in a place as quiet as possible without speaking anything. It can be very easily detected through headphones and keeping volume to maximum.
After researching, I found out that this hissing is made by preamplifier of the device and cannot be avoided while recording.
Only possible solution is to remove it during post processing of audio. Low frequency noise can be removed by implementing low pass filter and noise gates. There are applications and software like Adobe Audition which can perform this operation. This video shows how it is achieved using Adobe Audition.
I have searched Apple docs and found nothing which can achieve this directly. So I want to know if there exists any library, api or open source project which can perform this operation. If not, then how can I start going in right direction because it does looks like a complex task.
I am developing my camera application that can decoded the qrcode in real time of camera on.
When I open the camera, I set the timer about every 3 seconds interval to capture picture on the screen with Display.screenshot(); method and then decoded it with zxing library while camera is on. Sometimes, it can capture the qrcode and successful decoded, but otherwise it hard to decoded the picture. I think the problem is about camera. I can not use auto focus with the camera, so the capture picture is gloomy. I want to know how to use auto focus with the camera.
My application implement on OS version 5.0 and upper version.
Could anyone help me or suggestion about new solution ?
Thank you so much
Try BBBarcodeLib available for download here: http://aliirawan-wen.blogspot.com/2011/05/barcode-scanner-for-blackberry-os-50.html.
Note that for OS6 devices you can use the built in BlackBerry barcode scanning library (built on Google ZXing).
The main problem is likely that 3 second pause. You should be decoding frames as fast as you can, which should be many times per second. This will get you a successful scan much faster.
You can and should integrate the latest zxing library instead of using that built into RIM's OS if you can, as it has small improvements that will be helpful.