Has anyone been able to load the Tiny YoloV2 onnx model into detectNet successfully ? I get an error stating the network must have at least one output, but I don’t know what parameters I should be using.
Hi @brking, there isn’t support for YOLO models in jetson-inference, it would require custom pre-processing and post-processing.
However there is a YOLO sample include in the TensorRT SDK under /usr/src/tensorrt/samples/python/yolov3_onnx in addition to resources from the community about it:
A colleague pointed me to this sample using CV2. I didn’t realize CV2 could consume from a gstreamer source. Any reason this should not work for an RTSP source ? What I really want is: a) support for more custom models than jetson-inference supports and b) to work in Python.
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