I am working on Image processing pipeline using zybo and Pcam. I have reference hardware design and petalinux project from v2017.4 by Digilent
Hardware Design : https://github.com/Digilent/Zybo-Z7-20-base-linux
Petalinux project : https://github.com/Digilent/Petalinux-Zybo-Z7-20
I have tested this project in v2017.4 and it works perfectly well.
I am trying recreate it using only Xilinx IP cores and xilinx linux kernel.
I notice that the petalinux project uses Digilent's kernel for drivers and not the xilinx kernel.
Also another difference in the design is that I do not have the display part included in the design as I only need the images to be captured and not displayed.
I am able to get the media graph ans also set it to the format and resolution that I want. However after that when I use yavta application to save the Images it freezes (Please see the images below)
Is there any differences in the kernel that is causing this issue.
Any help is higly appreciated.
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Gumesh
Hello everybody,
I am working on Image processing pipeline using zybo and Pcam. I have reference hardware design and petalinux project from v2017.4 by Digilent
Hardware Design : https://github.com/Digilent/Zybo-Z7-20-base-linux
Petalinux project : https://github.com/Digilent/Petalinux-Zybo-Z7-20
I have tested this project in v2017.4 and it works perfectly well.
I am trying recreate it using only Xilinx IP cores and xilinx linux kernel.
I notice that the petalinux project uses Digilent's kernel for drivers and not the xilinx kernel.
Also another difference in the design is that I do not have the display part included in the design as I only need the images to be captured and not displayed.
The pipeline is as follows
Sensor--> MIPI CSI2 Rx Subsystem -> Video Frame Buffer --> PS
I am able to get the media graph ans also set it to the format and resolution that I want. However after that when I use yavta application to save the Images it freezes (Please see the images below)
Is there any differences in the kernel that is causing this issue.
Any help is higly appreciated.
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