Marcos Luciano
Marcos Luciano
I have no plans for segmentation for now.
It doesn't need to be width=height but you must use the same size of the trained model (640) to get the correct output. The sizes must be multiple of 32.
I got the results from a custom code that I created. It's not public for now.
> Okay, I am have written code to check the performance using deepstream. You can just use the deepstream-app to check the FPS. > I got, I find that yolov7...
Please attach the config_infer file and deepstream_app_config.txt file.
You are using too many resources in your `rtsp_analytics_video.txt` config. Probably, this is the problem.
You need to create a custom code (preferable in C) to optimize the pipeline for what you want to do. The `deepstream-app` is like a general purpose application.
What's the framerate when you use default `deepstream_app_config.txt` file?
> `Jetpack 4.6 deepstream 6.0.1 yolov5 6.1 ` I tested yolov5s , yolov7 , yolor (untrained,all of them),the can work well. I trained yolov5(changed backbone,but layers(CBH , LC_block , Dense)...
I reverted the NMS to DeepStream default NMS due to accurary drop, so the Batched NMS isn't used anymore.