I want to know, if we can manage Googles new CameraX api's vide capturing speed, for example record video in 2x speed or in slow mode. Any sugestion?
Currently you can't record a video in 2x speed or any other speed different than 1x using CameraX.
Alternatively you can use FFmpeg to create a slow/fast motion video from an input video.
There are few ways to create a slow/fast motion video using ffmpeg, see guide - this process can be done in a few ways, the first one mentioned in the linked page is lossless and requires no re encoding so it is very fast.
If you don't know much about ffmpeg there are plenty of articles online and guides.
for using it in android I personally prefer this library, but there are plenty more option out there.
Related
I'm looking for a way to process video images (without recording) at 120fps - on Android.
Going over all relevant SO questions, I couldn't find an answer to my question.
The docs says one must use CameraConstrainedHighSpeedCaptureSession to work with high speed video sessions.
For regular capture session I am using an ImageReader and process the images in C++.
But for high speed sessions I can't use it.
Is there a way to solve this issue using Camera2 API?
If not, is there a c++/opengl way to do it?
Important - my goal is to NOT record the video.
I've looked at Grafika & bigflake but they use the old Camera API.
Any help is much appreciated.
Thank you.
I am trying to create a video from series of images in android.
I have come across these three options MediaCodec, ffmpeg using ndk and jcodec. Can someone let me know which one of them is best and easiest. I didn't find any proper documentation so can somebody please post their working example?
If you are talking about API 4.3+ in general you need to get input surface from encoder, copy image to the texture that comes along with the surface, put correct timestamp and send it back to encoder. and do it
fps (frames per second) * resulted video duration in seconds
times. encoder bitstream after encoder should go to the muxer, so finally you will get mp4 file.
It requires rather much coding:)
I suggest you to try free Intel Media Pack: https://software.intel.com/en-us/articles/intel-inde-media-pack-for-android-tutorials
It has a sample - JpegSubstituteEffect, it allows to create videos from images. The idea is to take a dummy video (black video and quiet audio) and to substitute all black frame by coping images. It could be easily enhanced to creating a video from series of images. I know a couple of applications in Google Play making the same using Media Pack
I tried JCodec 1.7 for Android. This is very simple compared to the other two options and works. There is class SequenceEncoder in the android package that accepts Bitmap instances and encodes them in to video. I ended up cloning this class into my app to override some of the settings e.g. fps. Problem with JCodec is that performance is dismal - encoding single 720x480 pixels frame takes just about 45 seconds. I wanted to do timelapse videos possibly at fullHD and was initially thinking any encoder will do as I was not expecting encoding a frame to take more than a second (minimal interval between frames in my app is 3 seconds). As you can guess with 45 seconds per frame JCodec is not a fit.
I am monitoring your question for other answers that may be helpful.
The MediaCodec/MediaMuxer way seems ok but it is insanely complex. I need to learn quite a bit about OpenGL ES, video formats and some Android voodoo to get this going. Ohh and this only works on the latest crop of phones 4.3+. This is real shame for Google with all of their claims to fame. I found some Stackoverflow discussions on the topic. Two sub-paths exist - the OpenGL way is device independent. There is another way which involves transcoding your RGB Bitmap data to YUV. the catch with YUV is that there are 3 flavours of it depending on the device HW - planar, semi planar and semi planar compressed (I am not sure if a 4th way is not coming in the future so...).
Here are couple useful links on the OpenGL way
CTS test - https://android.googlesource.com/platform/cts/+/jb-mr2-release/tests/tests/media/src/android/media/cts/ExtractDecodeEditEncodeMuxTest.java
Many CTS like tests - http://bigflake.com/mediacodec/#EncodeDecodeTest
Two of them seem to be relevant and useful
EncodeAndMuxTest - http://bigflake.com/mediacodec/EncodeAndMuxTest.java.txt
CameraToMpegTest - http://bigflake.com/mediacodec/CameraToMpegTest.java.txt (I believe this to be closest to what I need, just need to understand all the OpenGL voodoo and get my Bitmap in as texture filling up the entire frame i.e. projections, cameras and what not comes into play)
ffmpeg route does not seem direct enough too. Something in C++ accepting stuff from Java...I guess some weird conversions of the Bitmap to byte[]/ByteBuffer will be first needed - cpu intensive and slow. I actually have JPEG byte[] but am not sure this will come handy to the ffmpeg library. I am not sure if ffmpeg is taking leverage of the GPU or other HW acceleration so it may well end up at 10 seconds per frame and literally baking the phone.
FFmpeg can implement this task. You first need compile ffmpeg library in Android (refer to this article "How to use Vitamio with your own FFmpeg build")
You could refer the samples in FFmpeg to figure out how to implement your task.
In Android implement your task in C++; then use JNI to integrate the C++ code into your Android app.
I want to create live painting video as export feature for a painting application.
I can create a video with a series of images, with the use of a library ( FFMPEG or MediaCodec). But, this would require too much processing power to compare the images and encode the video.
While drawing, I know exactly which pixels are changed. So, I can save lot of processing if I can pass this info to FFMPEG, instead of having the FFMPEG figure this out from the images.
Is there away to efficiently encode the video for this purpose ?
It should not require "too much processing power" for MediaCodec. Because, for example, device is capable to write video in real time, some of them write full HD video.There's another thing : each MediaCodec's encoder requires pixel data in specific format, you should query API for supported capabilities before using the API. Also it will be tricky to make your app work on all devices with MediaCodec if your app produces only one pixel format, because probably not all of devices will support it(another words: different vendors have different MediaCodec implementation).
I am testing imaging algorithms using a android phone's camera as input, and need a way to consistently test the algorithms. Ideally I want to take a pre-recorded video feed and have the phone 'pretend' that the video feed is a live video from the camera.
My ideal solution would be where the app running the algorithms has no knowledge that the video is pre-recorded. I do not want to load the video file directly into the app, but rather read it in as sensor data if at all possible.
Is this approach possible? If so, any pointers in the right direction would be extremely helpful, as Google searches have failed me so far
Thanks!
Edit: To clarify, my understanding is that the Camera class uses a camera service to read video from the hardware. Rather than do something application-side, I would like to create a custom camera service that reads from a video file instead of the hardware. Is that doable?
When you are doing processing on a live android video feed you will need to build your own custom camera application that feeds you individual frames via the PreviewCallback interface that Android provides.
Now, simulating this would be a little bit tricky seen as the format for the preview frames will generally be in the NV21 format. If you are using a pre-recorded video, I don't think there is any clear way of reading frames one by one unless you try the getFrameAtTime method which will give you bitmaps in an entirely different format.
This leads me to suggest that you could probably test with these Bitmaps (though I'm really not sure what you are trying to do here) from the getFrameAtTime method. In order for this code to then work on a live camera preview, you would need to have to convert your NV21 frames from the PreviewCallback interface into the same format as the Bitmaps from getFrameAtTime, or you could then adapt your algorithm to process NV21 format frames. NV21 is a pretty neat format, presenting color and luminance data separately, but it can be tricky to use.
I am trying to develop an application in which a Beaglebone platform captures video images from a camera connected to it, and then send them (through an internet socket) to an Android application such the application shows the video images.
I have read that openCV may be a very good option to capture the images from a camera, but then I am not sure how the images can be sent through a socket.
On the other end, I think that the video images received by the Android application could be treated by simple images. With this in mind I think I can refresh the image every second or so.
I am not sure if I am in the right way for the implementation, so I really appreciate any suggestion and help you could provide.
Thanks in advance, Gus.
The folks at OpenROV have done something like you've said. Instead of using a custom Android app, which is certainly possible, they've simply used a web browser to display the images captured.
https://github.com/OpenROV/openrov-software
This application uses OpenCV to perform the capture and analysis, a Node.JS application to transmit the data over socket.io to the web browser and a web client to display the video. An architecture description on how this works is given here:
http://www.youtube.com/watch?v=uvnAYDxbDUo
You can also look at running something like mjpg-streamer:
http://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=1051&context=cpesp
Note that displaying the video stream as a set of images can have big performance impact. For example, if you are not careful how you encode each frame, you can more than double the traffic between the two systems. ARGB takes 32 bits to encode a pixel, YUV takes 12 bits, so even accounting for the frame compression, you still are doubling the storage per frame. Also, rendering ARGB is much, much slower than rendering YUV, as most of the Android phones actually have hardware-optimized YUV rendering (as in the GPU can directly blit the YUV in the display memory). In addition, rendering separate frames as approach usually make sone take the easy way and render a Bitmap on a Canvas, which works if you are content with something in the order of 10-15 fps, but can never get to 60 fps, and can get to a peak (not sustained) of 30 fps only on very few phones.
If you have a hardware MPEG encoder on the Beaglebone board, you should use it to encode and stream the video. This would allow you to directly pass the MPEG stream to the standard Android media player for rendering. Of course, using the standard media player will not allow you to process the video stream in real time, so depending on your scenario this might not be an option for you.