Software & Installation

INSTALLATION

Instructor : NJ Namju Lee / nj.namju@gmail.com

* Lab - https://namjulee.github.io/njs-lab-public/nj-namju-lee

* Linkedin - https://www.linkedin.com/in/nj-namju-lee-926b3252/ * Git - https://github.com/NamjuLee

* Video(English) - https://www.youtube.com/c/njnamjulee * Writing(English) - https://medium.com/@nj-namju

* Video(Korean) - https://www.youtube.com/c/CodeforDesign * Writing(Korean) - https://brunch.co.kr/@njnamju

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1. DESIGN SOFTWARE

• Rhino 8 - https://www.rhino3d.com/download/

  • numerical utilities https://www.food4rhino.com/en/browse?searchText=designju
  • food4Rhino https://www.food4rhino.com/en

• SketchUp - https://www.sketchup.com/

• 3ds max, Maya, Revit - https://www.autodesk.com/education/edu-software/overview

  • VRay ...

• Adobe: Aftereffect, Photoshop - https://www.adobe.com/products

• Design Visualization Reference: https://namjulee.github.io/3d-visualization-harvard-gsd.github.com/

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2. IDE & Git

• Git - https://git-scm.com/downloads
• Giuhub desktop - https://desktop.github.com/download/
• Visual Studio Code - https://code.visualstudio.com/
• Visual Studio Community 2022 - https://visualstudio.microsoft.com/vs/community/
• Docker - https://www.docker.com/products/docker-desktop/

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3. Node env

• NodeJS - https://nodejs.org/en/download/prebuilt-installer

node -v
npm -v
npm install -g yarn

• njscore package - https://www.npmjs.com/package/njscore

  npm i njscore 

  yarn add njscore

• Packages
  • HTMLCanvas
  • D3
  • THREE
  • TensorflowJS
  • webgpu
  • ...

• nvm - https://github.com/coreybutler/nvm-windows/releases

  nvm install 18 
  nvm ls
  nvm use 18

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4. CUDA for Windows

• nvidia-smi
• https://developer.nvidia.com/cuda-toolkit-archive

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5. Miniconda env

• Miniconda - https://docs.anaconda.com/miniconda/
• Repo - https://repo.anaconda.com/miniconda/
• Edit the system environment variables - 
    ○ C:\Users\namju\miniconda3
    ○ C:\Users\namju\miniconda3\Scripts
    ○ C:\Users\namju\miniconda3\condabin

• conda create -n myEnv python=3.9
• conda remove --name myEnv --all
• conda activate myEnv

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6. Python Packages

• AI for Designer reference - https://namjulee.github.io/Data-Design-AI-for-Urban-Data-and-Viz-Harvard-GSD-public/

Tensorflow

• https://www.tensorflow.org/install/
  • Tensorflow for Windows
    https://docs.anaconda.com/working-with-conda/applications/tensorflow/

Case 1

conda create -n tf-gpu-2024 python=3.8
conda activate tf-gpu-2024
nvidia-smi
conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1
conda install tensorflow-gpu OR
pip install tensorflow-gpu==2.5.0

Case 2

conda create -n tf-gpu-2024 python=3.8
conda activate tf-gpu-2024
conda install -c conda-forge tensorflow-gpu=2.6.0 cudnn=8.2 cudatoolkit=11.2
conda install numpy=1.21

• For OSX
  • https://developer.apple.com/metal/tensorflow-plugin/
  • https://medium.com/mlearning-ai/install-tensorflow-on-mac-m1-m2-with-gpu-support-c404c6cfb580

# M2 TF
conda create -n tf-metal-2024 
conda activate tf-metal-2024 

conda install -c apple tensorflow-deps

pip install tensorflow-macos
pip install tensorflow-metal

pip install numpy --upgrade
pip install pandas --upgrade
pip install matplotlib --upgrade
pip install scikit-learn --upgrade
pip install scipy --upgrade
pip install plotly --upgrade

Opencv m1
https://www.geeksforgeeks.org/how-to-install-opencv-4-on-macos/

conda install -c anaconda seaborn

• Testing

  Import tensorflow as tf
  print("TensorFlow version:", tf.__version__)
  print("Is GPU available:", tf.config.list_physical_devices('GPU'))
  TensorFlow version: 2.5.0 Is GPU available: [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

Pytorch

• Pytorch - https://pytorch.org/get-started/locally/

  • https://pytorch.org/get-started/previous-versions/

• For Windows

  conda create -n pytorch-gpu-2024 python=3.10
  conda activate pytorch-gpu-2024
  
  

conda install pytorch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 pytorch-cuda=11.8 -c pytorch -c nvidia

* For OSX
  * https://towardsdatascience.com/installing-pytorch-on-apple-m1-chip-with-gpu-acceleration-3351dc44d67c

```shell
# M2 Torch
$ conda create -n torch-2023 python=3.9
$ conda activate torch

conda install pytorch torchvision torchaudio -c pytorch-nightly

• Testing

  import torch
  print(torch.__version__)
  print(torch.cuda.is_available())
  

2.5.0
True

### Common Libs
```shell
conda install -c anaconda pillow
conda install -c anaconda pandas
conda install -c anaconda seaborn

conda install -c anaconda matplotlib
conda install -c conda-forge matplotlib
pip install matplotlib

conda install -c anaconda opencv
conda install -c conda-forge opencv
pip install opencv-python

conda install -c anaconda scikit-learn
conda install -c conda-forge scikit-image
pip install tqdm

• Only for TF

  conda install keras=2.6  // for tf 2.6.0
  conda install -c anaconda tensorflowjs
  conda install -c conda-forge tensorflowjs
  pip install tensorflowjs

• ML lab: https://namjulee.github.io/njs-lab-public/lab/ai-&-ml-for-designers/ai-for-design

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6. Starter

• Starter lab: https://namjulee.github.io/njs-lab-public/lab/cad-app-starter-index/cad-app-starter