How to play YUV format camera in camera application?
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Hi,
I am working application based on camera having format only YUV-420-P. Other camera are working fine in camera application but YUV is very slow in application. Is it possible to change format or add encoder to the streaming video>
@Bonty said in How to play YUV format camera in camera application?:
Hi,
I am working application based on camera having format only YUV-420-P. Other camera are working fine in camera application but YUV is very slow in application. Is it possible to change format or add encoder to the streaming video>
Hello,
When working with YUV format camera data, there are a few considerations to keep in mind. Let’s explore some relevant information:
YUV Format:
YUV is a color space that separates brightness (luma, Y) from color information (chroma, U and V).
YUV420 (also known as YCbCr 4:2:0) is a common YUV format used in video compression and transmission.
In YUV420, the chroma channels (U and V) are subsampled, resulting in reduced data size compared to RGB.Performance Issues:
You mentioned that YUV is slow in your application. This could be due to various factors:
Processing Overhead: YUV data requires additional processing steps to convert it to RGB for display.
ImageReader Configuration: Ensure that the ImageReader you’re using is configured correctly for YUV420 format.
Frame Size: Larger frame sizes may impact performance.
Device-Specific Limitations: Different devices may handle YUV data differently.Camera2 API and ImageReader:
The Android Camera2 API provides more control over camera features and better performance compared to the old Camera API.
To work with YUV data using Camera2, follow these steps:
Create an ImageReader with the desired format (e.g., YUV_420_888).
Set up a CameraCaptureSession and configure it to receive frames from the camera.
Process the YUV frames in the ImageReader.OnImageAvailableListener.Optimizations:
To improve performance:
Use a lower resolution (e.g., 640x480) to reduce processing load.
Consider using hardware acceleration (e.g., OpenGL) for YUV to RGB conversion.
Profile your code to identify bottlenecks.Encoder:
If you want to encode the YUV frames (e.g., for streaming), consider using a video encoder (e.g., MediaCodec).
Convert YUV frames to a suitable format (e.g., NV21 or YUV420 semi-planar) before passing them to the encoder.I hope the information may helps you.
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Hi,
In addition, are you using QtQuick or widgets for your application ?
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@Bonty said in How to play YUV format camera in camera application?:
Hi,
I am working application based on camera having format only YUV-420-P. Other camera are working fine in camera application but YUV is very slow in application. Is it possible to change format or add encoder to the streaming video>
Hello,
When working with YUV format camera data, there are a few considerations to keep in mind. Let’s explore some relevant information:
YUV Format:
YUV is a color space that separates brightness (luma, Y) from color information (chroma, U and V).
YUV420 (also known as YCbCr 4:2:0) is a common YUV format used in video compression and transmission.
In YUV420, the chroma channels (U and V) are subsampled, resulting in reduced data size compared to RGB.Performance Issues:
You mentioned that YUV is slow in your application. This could be due to various factors:
Processing Overhead: YUV data requires additional processing steps to convert it to RGB for display.
ImageReader Configuration: Ensure that the ImageReader you’re using is configured correctly for YUV420 format.
Frame Size: Larger frame sizes may impact performance.
Device-Specific Limitations: Different devices may handle YUV data differently.Camera2 API and ImageReader:
The Android Camera2 API provides more control over camera features and better performance compared to the old Camera API.
To work with YUV data using Camera2, follow these steps:
Create an ImageReader with the desired format (e.g., YUV_420_888).
Set up a CameraCaptureSession and configure it to receive frames from the camera.
Process the YUV frames in the ImageReader.OnImageAvailableListener.Optimizations:
To improve performance:
Use a lower resolution (e.g., 640x480) to reduce processing load.
Consider using hardware acceleration (e.g., OpenGL) for YUV to RGB conversion.
Profile your code to identify bottlenecks.Encoder:
If you want to encode the YUV frames (e.g., for streaming), consider using a video encoder (e.g., MediaCodec).
Convert YUV frames to a suitable format (e.g., NV21 or YUV420 semi-planar) before passing them to the encoder.I hope the information may helps you.
@Dennisleon said in How to play YUV format camera in camera application?:
@Bonty said in How to play YUV format camera in camera application?:
Hi,
I am working application based on camera having format only YUV-420-P. Other camera are working fine in camera application but YUV is very slow in application. Is it possible to change format or add encoder to the streaming video>
Hello,
When working with YUV format camera data, there are a few considerations to keep in mind. Let’s explore some relevant information:
YUV Format:
YUV is a color space that separates brightness (luma, Y) from color information (chroma, U and V).
YUV420 (also known as YCbCr 4:2:0) is a common YUV format used in video compression and transmission.
In YUV420, the chroma channels (U and V) are subsampled, resulting in reduced data size compared to RGB.Performance Issues:
You mentioned that YUV is slow in your application. This could be due to various factors:
Processing Overhead: YUV data requires additional processing steps to convert it to RGB for display.
ImageReader Configuration: Ensure that the ImageReader you’re using is configured correctly for YUV420 format.
Frame Size: Larger frame sizes may impact performance.
Device-Specific Limitations: Different devices may handle YUV data differently.Camera2 API and ImageReader:
The Android Camera2 API provides more control over camera features and better performance compared to the old Camera API. HealthInsuranceMarket
To work with YUV data using Camera2, follow these steps:
Create an ImageReader with the desired format (e.g., YUV_420_888).
Set up a CameraCaptureSession and configure it to receive frames from the camera.
Process the YUV frames in the ImageReader.OnImageAvailableListener.Optimizations:
To improve performance:
Use a lower resolution (e.g., 640x480) to reduce processing load.
Consider using hardware acceleration (e.g., OpenGL) for YUV to RGB conversion.
Profile your code to identify bottlenecks.Encoder:
If you want to encode the YUV frames (e.g., for streaming), consider using a video encoder (e.g., MediaCodec).
Convert YUV frames to a suitable format (e.g., NV21 or YUV420 semi-planar) before passing them to the encoder.I hope the information may helps you.
Hello,
No, I am not using QtQuick or any kind of widget for my application. Thanks for the best response.
