• Jetson Nano with DeepStream 5.1
• JetPack Version 4.5.1
So i did some tests on primary inference, then I look at the inference txt file. The path leads to
/opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector. Here I found resnet file called
resnet10.caffemodel with its engine and the label. That’s only on resnet10.
For the yolo part, the path is in
/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo/. I found the .weights file
yolov3-tiny.weights with custom label.
I assume those are pretrained. Are there specifications for those inference models like the datasets used, train/val/test amount, learning rate, etc.?