nvidia-ai-iot / deepstream_parallel_inference_app Goto Github PK
View Code? Open in Web Editor NEWA project demonstrating how to use nvmetamux to run multiple models in parallel.
A project demonstrating how to use nvmetamux to run multiple models in parallel.
Hi,
I have split a single cam source into 4 different ROIs and feed it to inference layer. This solve issue of detecting small objects but How to use gst-nvdsmetamux to fuse adjacent objects from different ROI into one object to track
After seeing the GTC session dedicated to this parallel infererence, first I have to give you my congratulations, and second I would like to know how is it going to work with dynamic pipelines? in all the samples we are using static files, but in my requirements I would need to work with dynamic configurations, do you have some plan on this?
Regards.
I have a custom trained yolov5 model, how can I replace the tao yolov4 with that?
I just followed the steps of commands show in Readme:
I can run all the commands sucessfully except the last line, the errors are shown below:
Ideally I want three models ran in parallel but their predictions all visible on a 1x1 tiled display.
Not too fussed about what the models actually are at the moment
Thank You
Hello, Sir/Madam
I am running the deepsteam-parallel_infer_app in my job now. I want to save the image on Jetson platform.
When I set up multiple steams, I found nvds_obj_enc_process has problem. It saved the wrong source image:
When I execute the Nvds_obj_enc_process function, the frame image saved is the wrong source frame image. I want to know what operations the Nvds_obj_enc_process function performs. Is it the offset error of the current frame that causes the acquired frame image to be incorrect or what is the reason?
How you have obtained libnvds_osd.so
file from scrtch
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