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Posso usar modelos de menu de DVD criados automaticamente com o Nero 9 ou o Nero 10 no Nero 2019?

Sim, se ambas as versões estiverem instaladas no mesmo PC, isso é possível com alguma solução alternativa. Por padrão, o Nero Video não suporta menus personalizados criados com o Nero Vision no Nero 9. Siga os passos mencionados abaixo. Isso deve funcionar de forma idêntica para modelos de menu criados automaticamente do Nero Vision Xtra (Nero 10).

Copie seu menu de disco personalizado do Nero 9 localizado na pasta “C:\Users\<User>\Documents\NeroVision\Templates\CE” para “C:\Users\<User>\Documents\NeroVideo\Templates\CE” que é usado para Nero Video 2019.

1. Navegue até cada pasta de menu de disco e encontre um arquivo com a extensão “* .tpl”. (abaixo exemplo mostra pasta “This PC\Documents\NeroVideo\Templates\ CE \ 1\ TemplateCreatedbyNero9\SD.4.3”)

TPL_1 2. O arquivo * tpl é um arquivo xml onde você precisa adicionar um identificador exclusivo global (GUID) para que você possa abri-lo no Nero Video. Acesse este site https://www.guidgenerator.com/online-guid-generator.aspx, siga as duas etapas na captura de tela abaixo e copie um dos GUIDs (cada linha abaixo representa um GUID).

3. Clique com o botão direito do mouse no arquivo * tpl do menu que você moveu para ”… NeroVideo\Templates\CE” antes e selecione para editá-lo com o texto do Windows “Editor”.
4. Clique em um espaço vazio após a entrada“<metadata>”(4º elemento na linha)
5. Insira uma nova string “<GUID>{******}</GUID>”
6. Cole seu GUID nos colchetes {******}. Isto será como, por exemplo:
7. Salve o arquivo e reinicie o Nero Video
8. Abra o modelo na página de seleção do menu Nero Video em “Meus modelos de menu”

9. Faça isso para cada menu que você deseja entregar de Nero Vision para Nero Video

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Changelog – Nero Score

3.2.1.41 (1.0.22.0 Microsoft Store version) – Add the “RAID” marker for the software mode RAID disks

3.2.1.30 (1.0.18.0 Microsoft Store version) – Support disk speed test to test the performance of SSD/HDD

The disk test has two modes: quick test and detailed test.

Quick test only tests the disk sequential read and write speed to let you know the difference of actual disk speed compared to the nominal speed in the specification and the performance when copying large files from one place to another.

Detailed test tests 4K random read and write speed additionally to let you know the disk performance when running applications (e.g video games) or system startup.

Disk score = (Sequential read + Sequential write)/2 + (4K random read + 4K random write)/2

3.2.1.13 – Support sign in with Nero Account and submits the score with your nickname.

3.2.1.10 – Removed the initialization time for AVC encoding and decoding tests to provide more accurate scores

3.2.1.2 – Added the Metaverse test to benchmark the 3D rendering frame rate of the GPU

Nero Score = (CPU score + GPU score)/2

CPU score = (CPU AI + CPU AVC)/2

GPU score = (GPU 3D + GPU AVC)/2

3.0.1.20 – Added AVC decoding/encoding test for GPU and CPU

Nero Score = (CPU score + GPU score)/2

CPU score = (CPU AI + CPU AVC) / 2

GPU score = GPU AVC

1.0.0.00 – Initial version with CPU-based AI inference test for photo tagging

Nero Score = CPU AI

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Changelog – Nero AI Image Upscaler

This is the changelog for version ID starting with xx.5.x.x

If you are running an app from the Microsoft Store whose version ID starts with 2.0.x.x, please see the changelog here.

25.5.12.0

2023-01-13

New

Now you can set up the default AI model in the Options.
Support new format .webp

25.5.11.0

2022-10-28

Improvements

Localizations for German

25.5.10.0

2022-10-14

New

Hints with gif when cursor hovers on the model.

Show the progress status in the thumbnail list for the image under processing.

Support compression settings when saving results as the jpeg.

Keep original EXIF data in the resulting image.

Improvements

Better sample image with result presenting.
The process will not be interrupted when the PC sleep.
Other improvements for stability and reliability.

24.5.67.0

2022-07-04

New

Some example images to start with.

You can input images from Google Drive

AI model selection is now available. Try different models for different photos till you get a happy result.

You define how big the result goes. 2x, 4x or by targeted width and height values.

More comparison views:

Compare traditional and AI results with the slide bar.

Batch processing is possible and up to 20 images in a row.

Improvements

Giant improvements in processing speed with NVIDIA GPU acceleration.
Save files with customized file names.

24.5.30.11

2021-12-07

Improvements

New icon design
Some improvements for photographs with faces.

24.5.30.7

2021-10-21

Improvements

Improved ads and Nero Market button.

24.5.30.6

2021-10-11

Features

The initial release of Nero AI Image Upscaler – use artificial intelligence to increase image resolution with enhanced sharpness and detail.

Upscale rate: 4x.
Remove noise and jpeg compression artifacts.
Support JPEG, and PNG.

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How close is your PC to the Metaverse?

What is the Metaverse?

The metaverse is a shared virtual 3D world, or worlds, that are interactive, immersive, and collaborative. Just as the physical universe is a collection of worlds that are connected in space, the metaverse can be thought of as a bunch of worlds, too. People call metaverse the next iteration of the internet—one that we relate to not just by photos and videos and text, but by touch and interaction between elements rendered in Virtual or Augmented Reality that emulate real-world situations. If social media has been an important communication tool, then the “metaverse” could be the next frontier of connectivity and interaction.

Nero Score Metaverse Benchmark

Outstanding 3D real-time rendering capabilities will bring you a more immersive digital experience and bring us one step closer to the metaverse.

Nero Score now adds a new test unit for measuring the performance of 3D real-time rendering on graphics cards.

The GPU metaverse benchmark measures how many frames per second a 3D asset can be rendered on a given GPU. The results of this test will allow you to compare the scores of different GPUs in this domain. You can also compare the different performances that may exist between the AVC solution and the Metaverse solution on the same graphics card.

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Use Nero Score to compare the performance of your integrated and dedicated graphic cards!

If your system has two graphics cards, do you know how much better your independent graphic card will be than your dedicated graphic card when decoding or encoding AVC video files?

Previously, when Nero Score ran the AVC GPU test, it automatically picked the major graphic card from current system. Now you can choose which graphic card you want to do the AVC Decoding & Encoding test for before you start the test.

Get Nero Score latest version from Nero Start or score.nero.com.

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