I am using a modified version of gstdsexample plugin to process a set of input images. The goal of my plugin is to receive input images of size 1920x1080 and output a set of images of size 384x216 (that is, for every single input image there is a set of 25 smaller output images).
I have modified gstdsexample to implement copy-transform, that is, the plugin implements gst_dsexample_transform and disables gst_dsexample_transform_ip. When running the plugin on Jetson nano I receive segmentation fault error due to GPU vs CPU memory.
Since gst_dsexample_transform has two buffers: GstBuffer* inbuf, GstBuffer* outbuf. I am able to NvBufSurfaceMap inbuf for reading but I am not able NvBufSurfaceMap outbuf for writing (fault happens here).
I have attached a patched version of dsexample to show the problem on line 744. Please advice on how to use gst_dsexample_transform or on how to achieve same results if there is another solution. patch.zip (10.9 KB)
I came across this post that seems to be similar but there is no satisfactory solution (at least not for my case): Copy on content of input buffer to output buffer
Thank you very much.
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson Nano)
**• DeepStream Version 5.1
**• JetPack Version (valid for Jetson only) 4.5.1