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$ pixi list
Package                                            Version       Build                      Size       Kind   Source
aiohappyeyeballs                                   2.6.1         pyhd8ed1ab_0               19.3 KiB   conda  https://conda.anaconda.org/conda-forge/
aiohttp                                            3.11.16       py311h4921393_0            873 KiB    conda  https://conda.anaconda.org/conda-forge/
aiosignal                                          1.3.2         pyhd8ed1ab_0               12.9 KiB   conda  https://conda.anaconda.org/conda-forge/
aom                                                3.9.1         h7bae524_0                 2.1 MiB    conda  https://conda.anaconda.org/conda-forge/
argcomplete                                        3.6.2         pyhd8ed1ab_0               41.2 KiB   conda  https://conda.anaconda.org/conda-forge/
assimp                                             5.4.3         ha9c0b8d_0                 2.4 MiB    conda  https://conda.anaconda.org/

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$ pixi list
Package                                           Version       Build                     Size       Kind   Source
adwaita-icon-theme                                48.0          unix_0                    596.1 KiB  conda  https://conda.anaconda.org/conda-forge/
aiohappyeyeballs                                  2.6.1         pyhd8ed1ab_0              19.3 KiB   conda  https://conda.anaconda.org/conda-forge/
aiohttp                                           3.11.16       py312h998013c_0           871.2 KiB  conda  https://conda.anaconda.org/conda-forge/
aiosignal                                         1.3.2         pyhd8ed1ab_0              12.9 KiB   conda  https://conda.anaconda.org/conda-forge/
aom                                               3.9.1         h7bae524_0                2.1 MiB    conda  https://conda.anaconda.org/conda-forge/
argcomplete                                       3.6.2         pyhd8ed1ab_0              41.2 KiB   conda  https://conda.anaconda.org/conda-forge/
a

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M5Stack LLM モジュール公式

• https://docs.m5stack.com/en/module/Module-llm
  • M5Stack LLM モジュールドキュメント
• https://github.com/m5stack/M5Module-LLM
  • M5Stack LLM モジュールリポジトリ

Axera Tech

• https://github.com/AXERA-TECH/ax-llm

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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