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First, create a docker sudoer group and add your account

sudo groupadd docker
sudo usermod -aG docker $USER

Second, enable rootless mode

nvidia-ctk runtime configure --runtime=docker --config=$HOME/.config/docker/daemon.json
systemctl --user restart docker

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sudo apt install heif-convert

Inside the folder:

for f in *.HEIC; do heif-convert -q 100 "$f" "${f%.*}.jpg"; done

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Error git clone

$ git clone [email protected]:yourusername/xxx.git
Cloning into 'xxx'...
ssh: connect to host github.com port 22: Connection timed out
fatal: Could not read from remote repository.

Please make sure you have the correct access rights
and the repository exists.

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How to pin a program to the Ubuntu Dock Panel?

First: Show the current dock setting

$ gsettings get org.gnome.shell favorite-apps
['firefox_firefox.desktop', 'org.gnome.Nautilus.desktop', 'snap-store_ubuntu-software.desktop', 'google-chrome.desktop', 'org.gnome.Terminal.desktop', 'gnome-control-center.desktop', 'code_code.desktop', 'gimp_gimp.desktop']

Check the .desktop setting

Zotero offer the default Desktop Entry setting

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Model Summary of the GroundingDINO

If you encountered a KeyError: 'captions' when trying to run summary(model), it is because GroundingDINO creates its own class GroundingDINO with various customized layers.

First, use torchinfo instead of torchsummary because both torchsummary and torch-summary were deprecated long ago.

However, you will need to make a small modification to the torchinfo.py file in your environment's site-packages directory. For example, you can find it at: /home/{user}/miniconda3/envs/GroundingDINO/lib/python3.8/site-packages/torchinfo/torchinfo.py.

Add a few lines of code here.

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Set up automatic mounting for the disk during boot time.

Filesystem Status Check

Check the current filesystem status and how they are mounted on your computer.

$ mount
/dev/nvme0n1p2 on / type ext4 (rw,relatime,errors=remount-ro)
/dev/nvme0n1p1 on /boot/efi type vfat (rw,relatime,fmask=0077,dmask=0077,codepage=437,iocharset=iso8859-1,shortname=mixed,errors=remount-ro)
sysfs on /sys type sysfs (rw,nosuid,nodev,noexec,relatime)
proc on /proc type proc (rw,nosuid,nodev,noexec,relatime)

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CUDA Installation Problem:

WARNING: The Nouveau kernel driver is currently in use by your system. This driver is incompatible with the NVIDIA driver, and must be disabled before proceeding.

(Answer: Continue installation)
-> Performing CC sanity check with CC="/usr/bin/cc".
-> Performing CC check.
WARNING: The Nouveau kernel driver is currently in use by your system.  This driver is incompatible with the NVIDIA driver, and must be disabled before proceeding.
-> Nouveau can usually be disabled by adding files to the modprobe configuration directories and rebuilding the initramfs.

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CUDA Installation failed.

You appear to be running an X server. Installing the NVIDIA driver while X is running is not recommended

$ sudo sh cuda_12.4.1_550.54.15_linux.run
 Installation failed. See log at /var/log/cuda-installer.log for details.

Check the cuda-installer.log.

$ less /var/log/cuda-installer.log

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Check the current kernel

$ dpkg --list 'linux-image-*'
Desired=Unknown/Install/Remove/Purge/Hold
| Status=Not/Inst/Conf-files/Unpacked/halF-conf/Half-inst/trig-aWait/Trig-pend
|/ Err?=(none)/Reinst-required (Status,Err: uppercase=bad)
||/ Name                                  Version             Architecture Description
+++-=====================================-===================-============-===============================>
ii  linux-image-6.5.0-18-generic          6.5.0-18.18~22.04.1 amd64        Signed kernel image generic

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Install multiple CUDA on one machine

Check your GPU is is CUDA-capable

$ lspci | grep VGA
VGA compatible controller: NVIDIA Corporation GA102 [GeForce RTX 3090] (rev a1)

Check your OS