• MV-MIPI-IM256M数据格式

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    veye_xummV
    @张志伟 不好意思,我们现在相机本身没有图像矫正功能,也没有使用板块的ISP模块的方案。
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    veye_xummV
    @nb 不客气。
  • RAW-MIPI-AR0234M配置为4lane模式

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    @veye_xumm 好的,感谢
  • Issues with RAW-MIPI-SC132M on Jetson Nano Dev Kit

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    veye_xummV
    @antony You've made a very accurate analysis and testing, which is admirable. For this camera model, to save space, we use a double-sided contact connector, which indeed has caused some issues. We are planning to improve this module by replacing it with a 22-pin single-sided contact connector. I, together with our hardware colleagues, conducted an analysis, and the results align with your test findings. After reconnecting the FFC cable correctly following a reversal, the sensor's registers and error codes did not indicate a damaged state for the camera. [image: 1702970334043-0cc7b86d-d1f6-4833-b373-dc0dc445c5ed-f5b019a3f2a6617992ded7348331e2b.png] In the case of reversed power connection, the pins that are actually damaged are CON_CS_D1P and CON_CSI_CLKP. Unfortunately, this issue cannot be detected through software.
  • orin nano4g板卡使用MV-MIPI-IMX264M的问题

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    veye_xummV
    @lakers @lakers said in orin nano4g板卡使用MV-MIPI-IMX264M的问题: 我用您提供的sample中的 show.grey.py文件可以看见图像但帧率极低,用qv4l2却看不到图像,显示一片黑 python这个demo是帧率很低的。因为是纯软件跑到cpu上作的数据搬移。你回头开发自己的程序的时候,可以避免这一点。 qv4l2这个可能是因为分辨率太高了,qv4l2这个软件的兼容性的问题。 整体来看,我觉得驱动已经通了,你可以跑跑我们wiki上其他的例子了。
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    veye_xummV
    @robot 有一种可能,你的i2c和mipi是错配的。
  • 关于第三方载板对接RAW_MIPI_SC132M遇到的问题

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    veye_xummV
    @robot 不客气。
  • MV-MIPI-IMX178M

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    veye_xummV
    @xym 好的。
  • Read MV-MIPI-SC130M with openCV

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    @veye_xumm 能否提供一些在python或是c/c++中可用的读取接口或程序示例,我需要一个确定可用的程序对摄像头进行功能测试,最好能兼容opencv和gstreamer