andreibosco

To restore Linux item to EFI boot list

• switch into root: sudo su

• list disks and partitions: fdisk -l

• find main list filesystem partition and efi partition

• create mountpoint: mkdir /mnt/arch

• mount partition (additional argument needed for btrfs): mount -t auto -o subvol=@ /dev/nvme0n1p6 /mnt/arch/ (source: https://forum.endeavouros.com/t/chroot-into-a-btrfs-uefi-system-from-live-media/15986/3)

• change root into mounted partition: arch-chroot /mnt/arch

• mount EFI partition: mount -t auto /dev/nvme0n1p2 /efi/

andreibosco

If you are using an M1 mac and want to build an x86 (64-bit) image:

DOCKER_DEFAULT_PLATFORM=linux/amd64 docker build -t your_name/image_name .

andreibosco

if (Translator.BetterBibTeX) {
    if (tex.has.month) {
        tex.add({ name: 'month', value: tex.date.month});
    }
    if (zotero.itemType === 'webpage') {
        if (zotero.accessDate) {
            var customDate = new Date(zotero.accessDate.replace(/\s*T?\d+:\d+:\d+.*/, ''));
            var intlCustomDate = new Intl.DateTimeFormat('en-GB', {year: 'numeric', month: 'long', day: 'numeric'}).format(customDate);
            tex.add({ name: 'note', value: "(accessed on " + intlCustomDate + ")" });
        }

andreibosco

Based on https://davecoyle.com/tech-notes/ssh-keys-on-a-yubikey-mac/

SSH keys on a Yubikey in a Mac

Software Stuff

• Install the YubiKey Manager CLI (ykman); alternative installation options can be found here: brew install ykman

• Install GPG >= 2.1. Version 2.1 simplified the running of gpg-agent. The version isn’t a hard requirement, but it might make your life easier.

andreibosco

#!/bin/sh
# Source: https://stackoverflow.com/a/52962485/481690
for i in `ls *.png`; do convert $i -background black -alpha remove -alpha off $i; done

andreibosco

using UnityEngine;
using UnityEngine.UI;
using System.Collections;
using UnityEngine.SceneManagement;

public class ScreenFader : MonoBehaviour
{
    public Image FadeImg;
    public float fadeSpeed = 1.5f;
    public bool sceneStarting = true;

andreibosco

Work in progress

Setup TF1.14 environment for object detection

• Based on https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/tensorflow-1.14/index.html

Commands (will try to create a dockerfile based on this later)

# create conda environment with all necessary packages
conda create -n tf114 pip python=3.7 tensorflow-gpu=1.14 gast=0.2.2 pandas pillow lxml jupyter matplotlib opencv cython
conda activate tf114

andreibosco

• Use the following commands, replacing your string here with the string that you want to test.
• Obs.: shell_plus is provided by django-extensions

python manage.py shell_plus
from django.utils.translation import activate, get_language_info, ugettext as _
get_language_info('fr')
activate('fr')
print(_("your string here"))

andreibosco

Docker + Python

Pycharm doesn't use the environment variables settings defined in the UI (https://youtrack.jetbrains.com/issue/PY-38367#focus=Comments-27-3904155.0-0), so the workaround is creating a .env file in the base dir of the project with the variables. For example:

UID:${UID}
GID:${GID}

andreibosco

--- cmake/Cuda.cmake    2021-07-30 12:07:44.707798734 -0400
+++ cmake/Cuda.cmake.fixed      2021-07-30 12:22:30.551329548 -0400
@@ -4,7 +4,7 @@
 
 # Known NVIDIA GPU achitectures Caffe can be compiled for.
 # This list will be used for CUDA_ARCH_NAME = All option
-set(Caffe_known_gpu_archs "20 21(20) 30 35 50 60 61")
+set(Caffe_known_gpu_archs "30 35 50 60 61")
 
 ################################################################################################