Tips
wkhtmltopdf in ubuntu 18 - Qt problem
The latest package taken from the download page (0.12.6.1-2 at the moment), works on Ubuntu 22.04, it has the QT patch inside
Tools
[1] https://github.com/pierrelocus/odoo-attrs-replace
Software Developer, Programming, Web resources and entertaiment. Desarrollo de software, programaciĆ³n, recursos web y entretenimiento.
Tips
wkhtmltopdf in ubuntu 18 - Qt problem
The latest package taken from the download page (0.12.6.1-2 at the moment), works on Ubuntu 22.04, it has the QT patch inside
Tools
[1] https://github.com/pierrelocus/odoo-attrs-replace
[1] https://www.youtube.com/watch?v=l_ie4_Yyxjg
[2] Alpaca Breeding/Feeding https://www.youtube.com/watch?v=0sO9rizj7I4
Types Suri, Tuy-Wacaya
[3] Alpaca Breeding (Chigmo, SilluSillu) https://www.youtube.com/watch?v=ksN5x9y5HNw
sudo apt update
sudo apt install build-essential linux-headers-generic
Next, download and install from the following resources
VMware-Player-Full-17.5.0-22583795.x86_64.bundle
Download from drive
[1] https://drive.google.com/file/d/1X0MifVmJ_gr5UgShUKGrt8V49YA2wI6O/view?usp=drive_web
[2] Linux Lite 5.2 based on Ubuntu 20 https://osdn.net/dl/linuxlite/linux-lite-5.2-64bit.iso
References:
[1] original link https://salvatorenoschese.it/vmware-17-5-2-download-url/
[2] Linux Lite mirror https://osdn.net/projects/linuxlite/storage/
References:
[1] https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison
[2] Uptime Kuma https://github.com/louislam/uptime-kuma
102 sudo apt install python3-setuptools
103 sudo apt-get install python3-venv
105 sudo apt-get install python3-virtualenv
106 sudo apt-get install python3.10-venv
112 python3 -m venv odoovenv
118 sudo apt update && sudo apt upgrade -y
119 sudo apt install software-properties-common -y
120 sudo add-apt-repository ppa:deadsnakes/ppa
121 sudo apt update
122 sudo apt install python3.10
123 python3
125 sudo unlink python3
126 python3
131 sudo unlink /usr/bin/python3
132 sudo ln -s /usr/bin/python3.10 /usr/bin/python3
134 cd Software/
135 ls
136 source odoovenv/
137 source odoovenv/bin/activate
138 cd odoo-17.0/
139 ls
141 pip install --upgrade pip
142 pip install -r requirements.txt
150 sudo apt install postgresql
154 sudo apt install python3-dev
155 sudo apt install python3.10-dev
156 sudo apt-get install libsasl2-dev python-dev-is-python3 libldap2-dev libssl-dev
157 sudo apt-get install libldap2-dev
158 sudo apt install python3-ldap
159 sudo apt-get install libpq-dev
Note:
Modules/LDAPObject.c:16:10: fatal error: sasl/sasl.h: No such file or directory
when python3.10 installed from source, and python3.10-dev isn't available
apt-get install python-dev libsasl2-dev
Resources:
[1] https://github.com/odoo/odoo
[2] fe_sendauth https://stackoverflow.com/questions/17996957/fe-sendauth-no-password-supplied
[3] https://store.webkul.com/odoo-pos-pharmacy-management.html
[4] https://apps.odoo.com/apps/modules/14.0/bi_pos_pharmacy_management
sudo systemctl status postgresql.service
sudo systemctl start postgresql.service
sudo systemctl restart postgresql.service
sudo -i -u postgres psql
SELECT version();
pg_config --version
psql --version
CREATE ROLE mysuperuser2 WITH SUPERUSER CREATEDB CREATEROLE LOGIN ENCRYPTED PASSWORD 'mysuperpass2'
$ sudo vi /etc/postgresql/12/main/pg_hba.conf
local all postgres trust #peer
# TYPE DATABASE USER ADDRESS METHOD
# "local" is for Unix domain socket connections only
local all all md5 #peer
# IPv4 local connections:
host all all 127.0.0.1/32 md5
# IPv6 local connections:
host all all ::1/128 md5
# Allow replication connections from localhost, by a user with the
# replication privilege.
local replication all peer
host replication all 127.0.0.1/32 md5
host replication all ::1/128 md5
fincahuanaco@RolumaraT01:~$ sudo unlink /usr/bin/python3
fincahuanaco@RolumaraT01:~$ sudo ln -s /usr/bin/python3.10 /usr/bin/python3
fincahuanaco@RolumaraT01:~$ python3
Python 3.10.14 (main, Apr 6 2024, 18:45:05) [GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> quit()
Manual Installation
sudo apt install software-properties-common
sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev
References:
[1] https://computingforgeeks.com/how-to-install-python-on-ubuntu-linux-system/
Runtastic (I uninstalled because force to update your device - Internet connection problems)
Runkeeper (Wrong GPS tracking)
Strava (Currently testing)
Runna (Complex, force to use a plan)
Runtopia (Very simple, but works)
Google fit (No maps)
Relive Paid
RoadID Paid
Joggo Paid
Resources:
[1] Strava 2023 https://strava-running-and-cycling-gps.apk.gold/android-7.0
/opt/firefox/firefox-bin --profile $(mktemp -d) --private-window www.google.com www.bing.com
[1] Swap face (Adapt face shape to target) https://www.artguru.ai #Use anonymous windows
Same core than previous line https://www.pica-ai.com/
[2] Swap face pose https://faceswapper.ai/swapper #Free 10 by day (Works good with 3/4 face)
[3] Swap free 8 times/day https://www.vidnoz.com/face-swap.html #Check by IP, PW
[4] Swap free 8 times/day https://www.miocreate.com/face-swap.html #Check by IP, PW
[5] https://www.ismartta.com/ #Check by IP, works more time in private window
[0] https://aifaceswap.io/ HD Inf
Compose
[1] Replace hair style https://picsart.com/ai-replace/
By email
[1] 10/day https://pixlr.com/face-swap/ HD
[1] Times by cuda https://developer.nvidia.com/blog/how-implement-performance-metrics-cuda-cc/
[2] GPU Code https://http.download.nvidia.com/developer/GPU_Gems/CD_Image/Index.html
[3] Fluid in GPU theory https://developer.nvidia.com/gpugems/gpugems/part-vi-beyond-triangles/chapter-38-fast-fluid-dynamics-simulation-gpu
[1] Guide https://www.nvidia.com/content/geforce-gtx/GEFORCE_RTX_2070_SUPER_User_Guide.pdf
[2] RTX 2070 Techinal summary https://www.techpowerup.com/gpu-specs/geforce-rtx-2070-super.c3440
Important notes
* CUDA technology is developed by NVIDIA, and it is primarily designed to work with NVIDIA GPUs. CUDA is a parallel computing platform and application programming interface model that allows developers to use NVIDIA GPUs for general-purpose processing.
AMD has its own equivalent technology called OpenCL (Open Computing Language), which is an open standard for parallel programming of heterogeneous systems. OpenCL is not specific to AMD; it is supported by various vendors, including AMD, Intel, and others.
If you have an AMD GPU and want to leverage its parallel processing capabilities, you would typically use OpenCL rather than CUDA. However, it's important to note that not all software applications support both CUDA and OpenCL. The level of support depends on how the software was developed.
* CUDA technology is specific to NVIDIA GPUs (Graphics Processing Units), and it cannot be used with AMD GPUs. CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for their GPUs. It includes a programming interface and software development kit (SDK) for general-purpose computing on NVIDIA GPUs.
On the other hand, AMD uses a different technology called OpenCL (Open Computing Language) for parallel computing across CPUs, GPUs, and other processors. OpenCL is an open standard maintained by the Khronos Group, and it is designed to be vendor-neutral, allowing developers to write code that can run on different hardware platforms, including AMD GPUs. For getting information about CAD Drafting and designing visit CAD Drafter.
If you have an AMD GPU and you are looking to perform GPU-accelerated computing, you would generally use OpenCL or other AMD-specific technologies like ROCm (Radeon Open Compute). CUDA-based applications are not compatible with AMD GPUs, and vice versa.
It's worth noting that some software applications and libraries support both CUDA and OpenCL, allowing users to choose between NVIDIA and AMD GPUs. However, the underlying GPU-specific code would need to be implemented separately for CUDA and OpenCL.
* in 2024 it is possible to run CUDA code in AMD GPUs
https://github.com/vosen/ZLUDA
* Is CUDA faster than MPI?
CUDA is fast, but only if your do a lot of parallel processing on matrices. CUDA can be very fast, but for some kind of applications. Data transfer in CUDA is often the bottleneck. MPI is suitable for cluster environment and large scale network of computers.
References
Sketch to animation
[1] https://sketch.metademolab.com/
Animate avatar from audio recorded
[1] https://new.express.adobe.com/tools/animate-from-audio
Multiclass Image Classification
https://teachablemachine.withgoogle.com/train/image
[1] Spanish https://elnovelerovariadito.com/el-senor-de-los-cielos-sus-comienzos-t-1/
[2]
Corean
[1] https://pandrama.app
[2] https://doramashd.com
[3] https://doramason.com/pais/corea-del-sur/
Draw to 3D https://monstermash.zone/
https://econ3d.com/en/
https://www.csm.ai/
https://dreamgaussian.github.io/
Diffusion
Text to image https://ideogram.ai
Filters
Image to Image https://www.seaart.ai/ai-tools/ai-filter
Leonardo https://app.leonardo.ai/ai-generations
Speech
Antoni/Adam/Thomas(soft) https://elevenlabs.io/speech-synthesis
Downloaders
[1] Skip filters https://www.highperformr.ai/tools/ai-youtube-video-downloader
Tools
[1] Loop 5x/Crop/Resolution https://online-video-cutter.com/loop-video
[2] Extract mp3/Resolution https://video-converter.com
[3] Replace audio https://www.onlineconverter.com/add-audio-to-video
Quitar mensaje de error al acceder al panel de idioma
1. Ejecuta secpol.msc
2. Habilita la siguiente directiva - Directivas locales - Opciones de seguridad - Control de cuentas de usuario: Modo de aprobaciĆ³n de administrador para la cuenta predefinida Administrador
/usr/lib/jvm/java-8-openjdk-amd64/bin/java -jar ./facturadorApp-2.1.jar server prod.yaml References: [1] Make temp certificate for test...