Supernovae

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> Thanks for the help. > > > since ardupilot doesn't have any mode called "OFFBOARD" the equivalent there is GUIDED. you can either change the mode there > >...

> We use our in-house flight controller (https://github.com/uzh-rpg/rpg_quadrotor_control). However, you can also use the navigation policy also with PX4 or ardupilot, but you won't be able to fly as fast...

> We use our in-house quadrotor for experiments, and a TX2 for the flight stack and the path planner I went through the paper and found betaFlight mentioned, is that...

Semi-Global Matching (SGM) is used to compute depth during training

> I'm not sure this is the best way to do it now. Thank you for pushing me to get this updated, but I think the desired way to use...

> Can you upgrade the project to deepstream 6.0 and cuda 11.4? > > Thank you so much. > > ![image](https://user-images.githubusercontent.com/9107549/147650467-659fd2a9-b6c5-4593-a0cd-f3340538c0f1.png) Which branch are you running, kindly explain your problem...

> Hey, I created facenet_engine.plan file using the facenet.onnx file. When I ran the code for inference, it didn't gave any correct recognition results. I compared the embeddings (same image)...

> Hi @nwesem > I am using Jetson nano and followed all the steps you've mentioned in readme > when I run ./mtcnn_facenet_cpp_tensorRT > i am getting the following output...

check this, dlib model and facenet have similar output https://forums.developer.nvidia.com/t/face-recognition-using-dlib-with-jetson-nano/167172

@nwesem I am working on a similar project, but first I'm trying to use dlib's model for face recognition with deepstream