Dustin Franklin

You can ignore that, it is some internal warning from the NVMM zero-copy memory library. Unfortunately I'm unable to suppress the warning because it gets printed by that nvmm library...

Here is a link to the forum post discussing this issue: https://forums.developer.nvidia.com/t/how-to-utilize-class-id-in-object-detection-to-control-gpio-pins/158433/4?u=dusty_nv

> error: model file 'models/adas/sss-mobilenet.onnx' was not found. It cannot find the path to your model. Are you sure you don't mean `ssd-mobilenet.onnx` instead of `sss-mobilenet.onnx`?

Hi @AK51, I don't plan to personally make more pose models, they originally came from https://github.com/NVIDIA-AI-IOT/trt_pose project

Hi @snsmssss, please see the updated tutorial here that is using the videoSource/videoOutput APIs: https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-example-2.md https://github.com/dusty-nv/jetson-inference/blob/master/python/examples/my-detection.py Or you can just use `detectnet.py` and run it from video file like here:...

Can you try running it with `--input-flip=rotate-180` ? See here for the flags: https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-streaming.md#input-options

> As soon as the person is detected by the detector from a camera or .mp4 file , I want to save that frame only in the disk as, say,...

Sure no problem, you can put it on GitHub From: Sambath Parthasarathy ***@***.***> Sent: Thursday, March 10, 2022 7:12 AM To: dusty-nv/jetson-inference ***@***.***> Cc: Dustin Franklin ***@***.***>; Comment ***@***.***> Subject:...

Hi @EulersBoiler, what segmentation model are you using? `jetson.inference.segNet` is setup to use FCN-ResNet and FCN-Alexnet. FCN-Alexnet is legacy model from caffe (no longer used for new models really), whereas...

Hi @EulersBoiler, I'm not sure about your model, but the way that I export these to ONNX from PyTorch, it is with a fixed input size: https://github.com/dusty-nv/pytorch-segmentation/blob/6ae33ba3426665b8bde8923c0434d207ea4331e0/onnx_export.py#L54