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• Hardware (RTX2070)
• Network Type (Yolo_v4_tiny)
• TLT Version (Tao 3.21.11)
Hi. I am using fpenet–>facelandmark model example of deepstream 6.2. Through some landmarks
in GstPadProbeReturn function I define a rectangle like:
disp_meta->rect_params[disp_meta->num_rects].left ==xx top width and height.
I want now to split first into two pipelines that each infer on this squares as seperate roi. How can I split?
Should I then crop? How can I define a src according to this rect_params? Can I retrieve rect_params from GstPadProbeReturn for crop element ?
which element is best with deepstream to crop? Can I have two seperate sinks as display in the end?
Thank you indeed. tee seprates the pipeline easily. Can you please also indicate how can I crop dynamically using the data in a GstPadProbeReturn (disp_meta->rect_params[disp_meta->num_rects]) . Should I create a new appsrc ? Can I just use crop with rect_params with nvvideoconvert?
Thanks. I receive freeze error when using the method you mentioned. "g_object_set(G_OBJECT(nvvidconv_crop), “src-crop”, scr_crop.c_str(), NULL); How can I free the memoryfrom scr_crop-c_str in pad probe function? Should I not crop with a pad?
g_free does not work.