cwpolaris.blogg.se

Poser for mac
Poser for mac









  1. #Poser for mac install
  2. #Poser for mac manual
  3. #Poser for mac software
  4. #Poser for mac Pc
  5. #Poser for mac download

Then, run: > python tha2/app/ifacialmocap_puppeteer.py Change your working directory to the repository’s root directory. Next, replace the IP address on the left side with your iOS device’s IP address.

poser for mac

>’ button.” title=”iClick the ‘Open Advanced Setting >’ button.” style=”max-width:100% ”>Ĭlick the button that says “Maya” on the right side. Then, run the companion desktop application.Ĭlick “Open Advanced Setting >”. It should show you the device’s IP address. Then, scroll down to the end of the document, and you’ll see the GUI there.įirst, run iFacialMocap on your iOS device. Once you have done so, you should see that it only has one cell. Then, run: > jupyter notebookĪ browser window should open. Running the manual_poser Jupyter Notebook If you have not already activated the environment. If you created an environment using Anaconda as was discussed above, you need to run > conda activate talking-head-anime-2-demo Note that before running the command above, you might have to activate the Python environment that contains the required packages. Then, run: > python tha2/app/manual_poser.py Running the manual_poser Desktop Application However, if you distribute them, you must, among other things, say that I am the creator. The model files are distributed with the Creative Commons Attribution 4.0 International License, which means that you can use them for commercial purposes. In the end, the data folder should look like: + data

#Poser for mac download

This will create an environment called talking-head-anime-2-demo containing all the required Python packages.īefore running the programs, you need to download the model files from this Dropbox link and unzip it to the data folder of the repository’s directory. Open your shell, change the directory to where you clone the repository, and run: conda env create -f environment.yml

#Poser for mac install

You can also use Anaconda to download and install all Python packages in one command. (For example, you may connect them to the same wireless router.)Īutomatic Environment Construction with Anaconda (Linux users, I’m sorry!) Your iOS and your computer must also use the same network.

#Poser for mac Pc

You also need to install the paired desktop application on your PC or Mac. Lastly, the ifacialmocap_puppeteer requires iFacialMocap, which is available in the App Store for 980 yen. > jupyter nbextension enable -py widgetsnbextension > conda install -c conda-forge ipywidgets This means that, in addition to the commands above, you also need to run: > conda install -c conda-forge notebook To run the Jupyter notebook version of the manual_poser, you also need: > conda install pytorch torchvision cudatoolkit=10.2 -c pytorch > conda activate talking-head-anime-2-demo In particular, I created the environment to run the programs with Anaconda, using the following commands: > conda create -n talking-head-anime-2-demo python=3.8

#Poser for mac software

To run the GUIs, the following software packages are required: Personally, I have used an iPhone 12 mini.īoth programs were written in Python 3. (See this page for more info.) In other words, if you have the iPhone X or something better, you should be all set. This means that the device must be able to run iOS 11.0 or higher and must have a TrueDepth front-facing camera. The ifacialmocap_puppeteer requires an iOS device that is capable of computing blend shape parameters from a video feed. However, I think recent high-end gaming GPUs such as the RTX 2080, the RTX 3080, or better would do just as well. I could personally ran them at good speed with the Nvidia Titan RTX.

#Poser for mac manual

If you do not have the required hardware (discussed below) or do not want to download the code and set up an environment to run it, click to try running the manual poser on Google Colab.īoth programs require a recent and powerful Nvidia GPU to run.

  • The ifacialmocap_puppeteer lets you transfer your facial motion, captured by a commercial iOS application called iFacialMocap, to an image of an anime character.
  • The poser is available in two forms: a standard GUI application, and a Jupyter notebook.
  • The manual_poser lets you manipulate the facial expression and the head rotation of an anime character, given in a single image, through a graphical user interface.
  • Similar to the previous version, it has two programs: This repository contains demo programs for the Talking Head Anime from a Single Image 2: More Expressive project. Demo Code for “Talking Head Anime from a Single Image 2: More Expressive”











    Poser for mac