ondrek

data:image/gif;base64,R0lGODlhAQABAAAAACw=

nitheeshkl

Using GigE cam as webcam for Zoom/Skype/Teams

TL;DR: Creates a Gstreamer pipeline to read camera frames from a GigE camera, using Aravis library, and publish them as V4l2 camera source, using V4l2loopback, that can be read by video conferencing programs like Zoom/Skype/Teams.

gst-launch-1.0 aravissrc blocksize=5013504 h-binning=1 v-binning=1 ! video/x-bayer,format=rggb,framerate=100/5,width=2448,height=2048 ! bayer2rgb ! video/x-raw,format=RGBx ! videoconvert ! video/x-raw,format=YUY2 !  aspectratiocrop aspect-ratio=16/9 ! videoscale ! video/x-raw,width=1280,height=720 ! queue ! v4l2sink device=/dev/video0

---

The Basics

abel0b

apt install flex bison
git clone https://github.com/microsoft/WSL2-Linux-Kernel --depth 1
cd WSL2-Linux-Kernel/tools/perf
make -j8
sudo cp perf /usr/local/bin

odashi

#include <iomanip>
#include <iostream>
#include <cstdlib>
#include <vector>

#include <cuda.h>
#include <cudnn.h>

#define CUDA_CALL(f) { \
  cudaError_t err = (f); \

Circuitsoft

Driver Caps:
  Driver: "omap3"
  Card: "omap3/mt9v032//"
  Bus: ""
  Version: 0.0
  Capabilities: 04000001
Camera Cropping:
  Bounds: 752x480+0+0
  Default: 752x480+0+0
  Aspect: 1/1

cyrusbehr

# Install aarch64 cross depedencies based on Jetpack 4.4
# Dependencies require cuda-toolkit-10.2 which isn't installed in nvidia docker container
# It contains cuda-compat instead. However deb files currently depend on cuda-toolkit alone.
# Hence force dpkg configure
RUN wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cross-aarch64-10-2_10.2.89-1_all.deb && \
    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cross-aarch64_10.2.89-1_all.deb && \
    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cudart-cross-aarch64-10-2_10.2.89-1_all.deb && \
    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cufft-cross-aarch64-10-2_10.2.89-1_all.deb && \
    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cupti-cross-aarch64-10-2_10.2.89-1_all.deb && \
    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-curand-cross-aarch64-10-2_10.2.89-1_all.deb && \

seddonm1

On an Orin NX 16G the memory was too low to compile and the SWAP file had to be increased.

/etc/systemd/nvzramconfig.sh
change:

```
# Calculate memory to use for zram (1/2 of ram)
totalmem=`LC_ALL=C free | grep -e "^Mem:" | sed -e 's/^Mem: *//' -e 's/  *.*//'`
mem=$((("${totalmem}" / 2 / "${NRDEVICES}") * 1024))
```

matthewjberger

Note: This post is a summary of information paraphrased from an excellent blog post by Christian Sepulveda.

Prerequisites

• Create-React-App
• Yarn

Instructions

Create the app and download the necessary dependencies.

kmhofmann

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

JonathonReinhart

env = Environment(
    CCFLAGS = ['-Wall', '-Werror'],
)
env.Program('mkdir_p_test', ['mkdir_p.c', 'test.c'])