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Disable System Integrity Protection(SIP)

You need to disable System Integrity Protection(SIP).
https://docs.ros.org/en/humble/Installation/Alternatives/macOS-Development-Setup.html#disable-system-integrity-protection-sip

Homebrew

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
(echo; echo 'eval "$(/opt/homebrew/bin/brew shellenv)"') >> $HOME/.zprofile

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Install NVIDIA Container Toolkit on WSL2

Preparation

Please install Ubuntu on WSL2.
I have executed the following procedures on Ubuntu 22.04 of WSL2.

Install Docker CLI

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OpenCV with CUDAがg++11でビルドエラーになる問題の追試

はじめに

https://qiita.com/wahhoi22/items/d9ef90877fdb41dba1af#c11を使ってそのままコンパイルするとエラーが生じるで書かれている現象をhttps://hub.docker.com/r/nvidia/cudaにある以下のDockerイメージを使って追試をした。

• nvidia/cuda:11.5.2-cudnn8-devel-ubuntu20.04
• nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04

環境情報

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macOSでopencv2.frameworkを使う

注意点

OpenCV 4.7.0時点の情報ですが、opencv2.frameworkを作成する環境に以下の制約があります。

• MacOS 10.15 or later
• Python 3.6 or later
• CMake 3.18.5/3.19.0 or later (make sure the cmake command is available on your PATH)
• Xcode 12.2 or later (and its command line tools)

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 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "Orin"
  CUDA Driver Version / Runtime Version          11.4 / 11.4
  CUDA Capability Major/Minor version number:    8.7
  Total amount of global memory:                 14486 MBytes (15189422080 bytes)
  (008) Multiprocessors, (128) CUDA Cores/MP:    1024 CUDA Cores

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environment

• Raspberry Pi 4 Model B/8GB
• 2022-09-22-raspios-buster-armhf.img.xz

setup

sudo apt update
sudo apt upgrade

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FROM ubuntu:22.04

ARG UID=1000
ARG GID=1000

# add new sudo user
ENV USERNAME vhs
ENV HOME /home/$USERNAME
RUN useradd -m $USERNAME && \
        echo "$USERNAME:$USERNAME" | chpasswd && \

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VPI Python APIを使ってみる

サンプルスクリプト

• グレースケール変換
  • convert https://docs.nvidia.com/vpi/python/build/vpi.Image.convert.html
• リサイズ
  • rescale https://docs.nvidia.com/vpi/python/build/vpi.Image.rescale.html#vpi.Image.rescale
• ヒストグラム平坦化
• eqhist

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FROM ubuntu:20.04

ARG GID=1000
ARG UID=1000

# add new sudo user
ENV USERNAME onnx
ENV HOME /home/$USERNAME
RUN groupadd -f -g ${GID} ${USERNAME}
RUN useradd -m $USERNAME -u ${UID} -g ${GID} && \

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FROM nvidia/cuda:11.1-cudnn8-devel-ubuntu20.04

ENV NVIDIA_VISIBLE_DEVICES ${NVIDIA_VISIBLE_DEVICES:-all}
ENV NVIDIA_DRIVER_CAPABILITIES ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}graphics

# add new sudo user
ENV USERNAME autoware
ENV HOME /home/$USERNAME
RUN useradd -m $USERNAME && \
        echo "$USERNAME:$USERNAME" | chpasswd && \