tensor rt 7
Can you share more on your use case? Which DS sample do you run?
Ya sure, i want to use any object detection model with 10 cameras with 500 fps minimum in deepstream test test 3 app. it will be great if you give me code running with 500 fps in test3 with 10 cameras(2000*2000 resolution). you can share me weights and other file on google drive or somewhere else. so that i only need to run it. Thanks in advanced.
Do you meet any issue to run DS test 3 app?
Ya i have run test3 without any issue but i want use yolo v4 or may be yolo v5 to achieve high accuracy(it is also very important) for custom object detection.
The DeepStream pipeline perf on T4 is. If you run it with INT8, you may could get ~450 fps perf. But to run it with INT8, you need generate the INT8 calibrtion table based on your own image data - Developer Guide :: NVIDIA Deep Learning TensorRT Documentation
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