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Topaz Video Enhance AI 1.1.1 | NulledTeam UnderGround

Topaz Video Enhance AI 1.1.1

File size: 1.78 GiB
languages: English
operating system: Windows x64

.

Nice video enlargements with machine learning. Topaz Video Enhance AI has been trained on thousands of videos and combines information from multiple input video images. It enlarges your video to a resolution of up to 8K with real details and movement consistency.

The best quality for upscaling videos up to 8 KB.
So far, there has been no way to perfectly restore high-definition video from low-resolution footage. From old home videos to low quality SD to DVD quality and more, Video Enhance AI transforms your videos into clean, high-scaled footage with a resolution of up to 8K.

Improve the footage to 8K
Video Enhance AI is the perfect way to take good footage and make it great. Have you always wanted your footage to look sharper and more detailed? Record HD material up to 8 KB for use in high quality projects. This model is perfect for:

– DVD content
– DSLR footage
– game material
– HD stock footage

Restore inferior footage
With Video Enhance AI, you can transfer your footage from SD to HD with an incredible increase in quality. This model is perfect for older footage that you want to use for modern use. Older recordings like:

– home videos
– Advertising
– music videos
– movie content
– Youtube videos

quality
So far, there has been no deep learning-based approach to video enlargement as a commercial product. Video Enhance AI is the only product that uses machine learning to extrapolate details from your footage for a realistic appearance. Video Enhance AI's output quality is simply better than any other product available.

education
Video Enhance AI was trained using a neural network that analyzes thousands of video pairs to learn how details are normally lost. Unlike gigapixel AI for photos, given the amount of information available in a single video clip, Video Enhance AI can extrapolate more details for an even more realistic look.

Easy to use
With just a few clicks of the mouse, your video is rendered to create beautiful, high-resolution footage. There are no complicated processes or confusing tools – just a few simple steps and your footage is ready to go.

RELEASE NOTES:
– Release notes were not available when this list was updated.

Operating system:
Windows: Windows 7, 8, 10 (64-bit only)

CENTRAL PROCESSOR:
– Intel i7 (7th generation) or higher (4 GHz and higher)
– AMD Ryzen 7 or higher (4 GHz and higher)

GPU / graphics card:
– Nvidia GTX 1080 (8 GB) or higher
– Gigapixel AI for Video does not currently support AMD graphics processors.

R.A.M:
– Minimum: 8 GB
– Recommended: 16 GB
– Optimal: 32 GB

Monitor:
A monitor with a resolution of at least 1024 x 768 is recommended.

What is the minimum hardware requirement for Video Enhance AI?
We recommend that you run Video Enhance AI on high-end Nvidia graphics cards. The minimum requirement is GTX 1050 with 4 GB VRAM. Any graphics card that is later / better than the GTX 1080 (included) does a pretty quick job. If you don't have an Nvidia graphics card in your device, the software can run on your Intel iGPU. It's usually five times slower. If you don't have an Intel iGPU, the software eventually falls back on your CPU, which can be ten times slower than the Nvidia GPU version.

Home page

Download

NitroFlare

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ubuntu – Nginx error in Docker container: (111: Connection refused) when connecting to the upstream client

I run a Django app with Nginx in a Docker container and everything went fine until I rebuilt the container. Suddenly I get a 502 (Bad Gateway) error and the logs say

(111: Connection refused) during the connection to the upstream, client: 216.245.221.82

I have no idea what has changed, to be honest, and I'm new to Nginx. The Django / Python code should not have changed. I'm pulling the latest Nginx image, so there may have been a change that doesn't work well with my configuration. But I also tried older versions and get the same error. Maybe my app crashes because there is no port it is listening on? (see the screenshot)

I tried to customize ALLOWED_HOSTS ('*')Set SSL_NO_VERIFY to True and False, still the same error. I have no more options … I don't know how to debug it better. The app works well on site, so setting the debug to True didn't help me.

I just do not know. I deploy my app on an EC2 instance with nginx in a Docker container.

Here are my configurations and my build file:

server {

    listen 443 ssl;
    server_name mywebsite.de;
    client_max_body_size 0;
    charset utf-8;
    ssl_stapling off;
    ssl_stapling_verify off;

    ssl_certificate            /etc/letsencrypt/live/mywebsite.de/fullchain.pem;
    ssl_certificate_key       /etc/letsencrypt/live/mywebsite.de/privkey.pem;


    set $my_host $http_host;
    if ($http_host = "mywebsite.de") {
          set $my_host "mywebsite.de";
    }


    location / {
        proxy_pass http://django:5000;
        proxy_set_header Host $my_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    }

}

server {
        listen 80 ;
        server_name mywebsite.de;
        return 301 https://mywebsite.de$request_uri;
}
server {
        listen 80 ;
        server_name www.mywebsite.de;
        return 301 https://mywebsite.de$request_uri;
}
server {
        listen 443 ;
        server_name www.mywebsite.de;
        return 301 https://mywebsite.de$request_uri;
        ssl_stapling off;
        ssl_stapling_verify off;

        ssl_certificate           /etc/letsencrypt/live/mywebsite.de/fullchain.pem;
        ssl_certificate_key       /etc/letsencrypt/live/mywebsite.de/privkey.pem;
}

version: '3'

services:
  django:
    build:
      context: .
      dockerfile: ./compose/production/django/Dockerfile
    image: my_website_production_django
    env_file:
      - ./.envs/.production/.django
      - ./.envs/.production/.postgres
    command: /start

  nginx:
    container_name: 'nginx'
    image: nginx:latest
    ports:
      - "80:80"
      - "443:443"
    volumes: ##The following files are found on AWS EC2 instance.
       - /home/ubuntu/nginx-conf/my.conf:/etc/nginx/conf.d/default.conf
       - /etc/letsencrypt/live/mydomain.de/fullchain.pem:/etc/letsencrypt/live/mydomain.de/fullchain.pem
       - /etc/letsencrypt/live/mydomain.de/privkey.pem:/etc/letsencrypt/live/mydomain.de/privkey.pem
    depends_on:
      - django

  redis:
    image: redis:5.0

You are welcome to provide further information or code if required. Really desperate and grateful for help. Thank you very much.

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Rating: 5

Full node – Testnet Bitcoin connection refused (111)

I have ah Raspberry and I'm going to set up a BTC & Lightning node.

my bitcoin.conf

testnet=3 
Bitcoind options
server=1
daemon=1
txindex=1
disablewallet=1 
 Connection settings
rpcuser=raspibolt
rpcpassword=1212431
addnode=104.237.131.138
addnode=151.80.205.132
addnode=192.155.82.123
addnode=74.220.255.190
addnode=80.100.203.151
 Raspberry Pi optimizations
dbcache=100
maxorphantx=10
maxmempool=50
maxconnections=40
maxuploadtarget=5000

I have the AddNode from this thread:

The node synchronization with testnet3 is very slow

in the getnetworkinfo it says:

"version": 160000,
  "subversion": "/Satoshi:0.16.0/",
  "protocolversion": 70015,
  "localservices": "000000000000040d",
  "localrelay": true,
  "timeoffset": 0,
  "networkactive": true,
  "connections": 17,
  "networks": 
  "warnings": "Warning: unknown new rules activated (versionbit 28)"

and the debug log says:

2018-04-24 17:39:51 connect() to 85.207.214.190:18333 failed after select(): Connection refused (111)
2018-04-24 17:38:16 connect() to (2001:470:c144:cafe::a):18333 failed: Network is unreachable (101)

does anyone have an idea where the error lies?

my testnet port: 18333 is open.

many thanks for the help!

greetings

ios – No debug values ​​are displayed on xcode 11.1

I've had this problem for a few weeks, it got so annoying that yesterday I completely deleted and restarted my MacBook, but the problem still persists.

I have a framework (created by myself so I have the code on my computer) and an app (also created by myself for the code to be on my computer). The app uses the framework. I try to debug the framework, so I add breakpoints in the frameworks and set them to user so I restrict them while running my app.

The problem I have is that Xcode has no idea what value something has, as soon as I'm inside the framework code on a breakpoint. If I hover over a variable, I just get the name of the variable and if I use & # 39; po & # 39; from the console only states error: :3:1: error: use of unresolved identifier 'returnValue'
returnValue

The annoying part is that when I completely reset my MacBook for the first time and retrieved the code for my framework and app, I could easily debug and display everything. Now, just one day later, everything is suddenly gone, and it's no longer possible to see values ​​of anything. I know that nothing has changed in terms of project settings between functioning and non-functioning (on the app or the framework). I'm just making code changes and debugging works only once, not next time, the main problem is that it's pretty much always in a non-functional state.

I have reviewed all the important things that people have already said about this question to confirm:

  • I'm definitely building a debug version of the framework and the app.
  • Optimization is set to NONE for both the framework and the app

I use Xcode 11.1 and Catalina 10.15

I've reached a point where I literally can not continue my work because I can not debug anything anymore. I thought a completely new hard drive and reinstalling MacOS and Xcode might have fixed the problem, but unfortunately not …